Radiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Beauchamp, N. J.
Right arrow Articles by vanZijl, P. C. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Beauchamp, N. J., Jr
Right arrow Articles by vanZijl, P. C. M.
(Radiology. 1999;212:307-324.)
© RSNA, 1999


State of the Art

Imaging of Acute Cerebral Ischemia1

Norman J. Beauchamp, Jr, MD, Peter B. Barker, DPhil, Paul Y. Wang, MD and Peter C. M. vanZijl, PhD

1 From the Morgan H. Russell Department of Radiology, Division of Neuroradiology, the Johns Hopkins Hospital, 600 N Wolfe St, Baltimore, MD 21287. Received April 16, 1998; revision requested June 24; final revision received January 13, 1999; accepted March 16. Address reprint requests to N.J.B. (e-mail: nbeauch@welchlink.welch.jhu.edu).

Abstract

Until recently, there was no efficacious treatment for acute cerebral ischemia. As a result, the role of neuroimaging and the radiologist was peripheral in the diagnosis and management of this disease. The demonstration of efficacy using thrombolysis has redefined this role, with the success of intervention becoming increasingly dependent on timely imaging and accurate interpretation. The potential benefits of intervention have only begun to be realized. In this State-of-the-Art review of imaging of acute stroke, the role of imaging in the current and future management of stroke is presented. The role of computed tomography is emphasized in that it is currently the most utilized technique, and its value has been demonstrated in prospective clinical trials. Magnetic resonance techniques are equally emphasized in that they have the potential to provide a single modality evaluation of tissue viability and vessel patency in an increasingly rapid evaluation.

Index terms: Brain, infarction, 10.781 • Brain, ischemia, 10.781 • Cerebral blood vessels, CT, 174.1211 • Cerebral blood vessels, flow dynamics, 174.76 • Cerebral blood vessels, MR, 174.12141, 174.12142, 174.12145 • State-of-art reviews

Stroke is an injury to the central nervous system that is characteristically abrupt in onset and due to a vascular insult. The term is reflective of damage to the brain secondary to ischemia or hemorrhage. It is the number three cause of mortality and the number one cause of disability in adults in the United States. Strokes are ischemic approximately 80% of the time, and until recently, there was no available beneficial intervention (1,2). In 1995, the published results of the National Institute for Neurological Diseases and Stroke (NINDS) recombinant tissue plasminogen activator (rt-PA) trial represented the first demonstration of efficacious treatment for acute cerebral ischemia (3). This has redefined the role of the radiologist and neuroimaging from peripheral to central in the management of acute cerebral ischemia. This State of the Art describes the central role of the radiologist and neuroimaging in the diagnosis and subsequent management of acute cerebral ischemia.

HISTORY OF STROKE IMAGING

The requirements of stroke imaging are reflective of available treatment options. Before the demonstration of an efficacious intervention, management was largely supportive. Of greatest importance was not the detection of manifest ischemic changes, but the detection of processes such as infection or tumor for which interventions were available. Once processes requiring emergent intervention such as infection and tumor were excluded, supportive measures were instituted, including the prevention of additional thrombus formation with use of anticoagulation. It was well accepted that in the absence of detecting the aforementioned processes, deficits lasting less than 24 hours were due to transient ischemic attacks. Neurologic deficits persisting beyond 24 hours were attributed to infarction. Imaging confirmation of manifest infarction was not needed.

The demonstrated efficacy of the intravenously administered thrombolytic, alteplase ([rt-PA] Activase; Genentech, South San Francisco, Calif), has redefined the requirements for neuroimaging. Optimal management now requires delineation of infarction prior to intervention. This requirement is best understood in the context of the role of thrombolytics for cerebral ischemia and the pathophysiology of cerebral ischemia.

THROMBOLYSIS

Prompt reestablishment of flow with lysis of an occlusive thrombus is the goal of thrombolysis. This is in contrast to anticoagulation, in which new clot formation is minimized. These agents convert the proenzyme plasminogen to the active enzyme in thrombin lysis, plasmin. Thrombolysis can be performed by using streptokinase, urokinase, or rt-PA. rt-PA is the most specific of the three agents. It is fibrin specific, activating only thrombin-bound plasminogen. For this reason, it has the most favorable therapeutic index of the three thrombolytic agents.

After thrombolysis was initially proposed in 1958, its acceptability was limited by the inability to differentiate cerebral ischemia from primary intraparenchymal hematoma, the latter a contraindication to thrombolysis (4). Enthusiasm was renewed in the 1990s because of the wide availability of computed tomographic (CT) scanners and the demonstration of efficacy of thrombolytics in the treatment of myocardial ischemia (5,6). This resulted in the performance of numerous clinical trials (3,710). Of these, two intravenous rt-PA clinical trials have been of particular importance in defining the current approach to treating cerebral ischemia—the NINDS trials (3) and the European Cooperative Acute Stroke Study (ECASS) (7).

The NINDS trial was the first trial to demonstrate efficacy in the use of the thrombolytics for the treatment of cerebral ischemia (3). The protocol was based on a 3-hour treatment window from the time of ictus to the administration of rt-PA. A CT scan was obtained, and the detection of intracerebral thrombosis was an exclusion criterion. Although no short-term benefits were demonstrated, patients in the treatment group achieved improved stroke scale ratings as compared with those in the placebo group at 3 months. This resulted in approval by the U.S. Food and Drug Administration of rt-PA in June of 1996 and the widespread implementation of acute stroke teams across North America.

The ECASS trial allowed a longer treatment window of 6 hours (7). This time-window prolongation increased the likelihood of manifest infarction at the time of reestablishing flow and thus the risk of reperfusion hemorrhage. In an attempt to avoid reperfusion hemorrhage, a CT scan was obtained to exclude patients with extensive infarction. Patients were excluded if on-site interpretation detected infarction in greater than 33% of the middle cerebral artery (MCA) distribution. Unfortunately, the ECASS group failed to demonstrate efficacy in the intention to treat group. Notably, in addition to the on-site interpretation, CT scans were later reviewed by the ECASS CT review panel. The panel determined that "misinterpretation" by the on-site readers resulted in inappropriate entrance into the trial of 52 individuals (7). By excluding this subgroup of protocol violators, efficacy was demonstrable.

The need for subgroup analysis led to skepticism about the efficacy of thrombolysis beyond 3 hours, which is reflected in the aforementioned approval of a 3-hour treatment window and the relative lack of enthusiasm in the European Community toward implementing thrombolysis. Despite this, the design and outcome of the ECASS trial has had a major effect on defining the optimal approach to stroke intervention in that it has redefined the role for neuroimaging in acute stroke. In this study, CT was used to detect the presence of infarction as opposed to its prior role of excluding other processes such as hemorrhage, tumor, or infection. The ECASS trial also "suggested," based on subgroup analysis, that with neuroimaging it is possible to extend the treatment window beyond 3 hours. This is of great relevance in that on the basis of estimates from the International Stroke Trial, only 4% of acute stroke patients presenting to the hospital are able to arrive within 3 hours (11). Extending the treatment window to 6 hours would make intervention available to approximately 16% of acute stroke patients (11,12).

Finally, this trial demonstrates that "in practice" the early CT changes of infarction are subtle. For example, in 11% of the patients in the ECASS trial, initial interpretation did not detect the presence of infarcts seen on post hoc review. Thus, although enabling of efficacy when the treatment window is less than 3 hours, CT is not the optimal technique for delineating the presence or absence of infarction in the acute period. This "insensitivity" becomes even more important in considering extension of the treatment window beyond 3 hours when the likelihood of infarcted tissue being present and risks of posttreatment hemorrhage are greater.

NEWLY DEFINED ROLE OF CT

CT detection of extended infarction is a recommended exclusion criterion based on the American Heart Association Thrombolysis Practice Advisory Guidelines (13). It is now incumbent on all radiologists to be familiar with the CT evaluation of acute stroke. The sensitivity of CT in the detection of the early changes of infarction is related to the underlying principles of image acquisition. CT images are obtained by projection of a high-kilovoltage collimated beam through the brain. Beam attenuation is due to absorption proportional to the linear attenuation coefficient of the materials through which it passes. The relatively high-kilovoltage x rays used in CT result in linear attenuation primarily due to tissue density. Differentiation of adjacent tissues such as gray matter and white matter depends on perceivable differences in electron density; detection of a pathologic condition requires a perceivable change in electron density.

Fluid redistribution characterizes cerebral ischemia and imparts the changes in electron density detectable with CT. Maintenance of a normal cell volume involves the double-Donnan-equilibrium between electrolytes and fluid exchange between the extra- and intracellular spaces (14,15). This requires a continuous supply of energy to the membrane pumps necessary in maintaining normal intra- and extracellular electrolyte concentration gradients and fluid distribution. With the interruption of blood flow, these energy needs are no longer met, resulting in cytotoxic edema, which is defined as cellular injury with influx of fluid in the intracellular space without an increase in vascular permeability (16).

Neurons are the most sensitive cell to ischemia. These cells are located in gray matter. Initially more dense than the white matter, gray matter becomes increasingly less dense with an increase in water content. The normal gray matter–white matter differentiation that characterizes the normal CT scan progressively declines and results in three of the CT signs of acute cerebral infarction: (a) blurring of the clarity of the internal capsule, (b) loss of distinctness of the insular ribbon cortex, and (c) loss of differentiation between the cortical gray matter and the subjacent white matter (Fig 1) (17,18). In addition to the attenuation changes, morphologic changes occur due to the accumulation of intracellular fluid causing swelling of the cortical gyri. This results in effacement of the spaces demarcated by the gyral infoldings (sulci), known as "sulcal effacement" (19). This is demonstrated prior to the appearance of hypoattenuation. Although these findings become prominent over time, detectable alterations in attenuation are not present at the time of ictus (20).



View larger version (156K):
[in this window]
[in a new window]
 
Figure 1a. Left-sided hemiparesis in a 45-year-old man. (a) Axial CT scan of the head obtained 6 hours after onset of symptoms. Curved arrow denotes medial demarcation of the posterior limb of the right internal capsule. Note that the lateral margin of the right internal capsule is poorly defined due to decreased attenuation in the structure that makes up the lateral border—the lentiform nucleus. Compare this to the normal left internal capsule and left lentiform nucleus (straight arrow). (b) Axial CT scan of the head obtained superior to a. There is global decrease in gray matter-white matter differentiation in the right cerebral hemisphere that corresponds to the MCA distribution. (c) Axial CT scan of the head was obtained on hospital day 3 and demonstrates an area of increased attenuation (straight arrows) that corresponds to hemorrhage into a region of infarction. The nonhemorrhagic areas of infarction are seen as hypoattenuating (curved arrow).

 


View larger version (133K):
[in this window]
[in a new window]
 
Figure 1b. Left-sided hemiparesis in a 45-year-old man. (a) Axial CT scan of the head obtained 6 hours after onset of symptoms. Curved arrow denotes medial demarcation of the posterior limb of the right internal capsule. Note that the lateral margin of the right internal capsule is poorly defined due to decreased attenuation in the structure that makes up the lateral border—the lentiform nucleus. Compare this to the normal left internal capsule and left lentiform nucleus (straight arrow). (b) Axial CT scan of the head obtained superior to a. There is global decrease in gray matter-white matter differentiation in the right cerebral hemisphere that corresponds to the MCA distribution. (c) Axial CT scan of the head was obtained on hospital day 3 and demonstrates an area of increased attenuation (straight arrows) that corresponds to hemorrhage into a region of infarction. The nonhemorrhagic areas of infarction are seen as hypoattenuating (curved arrow).

 


View larger version (153K):
[in this window]
[in a new window]
 
Figure 1c. Left-sided hemiparesis in a 45-year-old man. (a) Axial CT scan of the head obtained 6 hours after onset of symptoms. Curved arrow denotes medial demarcation of the posterior limb of the right internal capsule. Note that the lateral margin of the right internal capsule is poorly defined due to decreased attenuation in the structure that makes up the lateral border—the lentiform nucleus. Compare this to the normal left internal capsule and left lentiform nucleus (straight arrow). (b) Axial CT scan of the head obtained superior to a. There is global decrease in gray matter-white matter differentiation in the right cerebral hemisphere that corresponds to the MCA distribution. (c) Axial CT scan of the head was obtained on hospital day 3 and demonstrates an area of increased attenuation (straight arrows) that corresponds to hemorrhage into a region of infarction. The nonhemorrhagic areas of infarction are seen as hypoattenuating (curved arrow).

 
The "hyperdense MCA sign" is secondary to an embolus lodged in the MCA (Fig 2). This results in increased attenuation in the first segment of the MCA that can be seen at the time of ictus (21). Angiographic correlation has demonstrated a corresponding thrombus, and it is most common with cortical and large deep MCA infarcts. This sign is associated with worse patient outcomes. To avoid misinterpretation of atherosclerotic disease calcifying the MCA and mimicking a thrombus, the following "hyperdense MCA sign" inclusion criteria are important: (a) The abnormal vessel should be of higher x-ray attenuation than that of the contralateral MCA and the basilar artery and (b) intravenous contrast material has not been administered. A similar "hyperdense" vessel sign has been described for the basilar artery. Whereas prominence of the parenchymal changes associated with vascular occlusion are a contraindication to thrombolysis, the "hyperdense MCA sign" signifies a vascular occlusion and a need for intervention when detected within the treatment window.



View larger version (153K):
[in this window]
[in a new window]
 
Figure 2. Acute onset of aphasia and right hemiparesis in a 27-year-old man. Axial CT scan of the head obtained 3 hours after onset of symptoms demonstrates a "hyperdense MCA sign" (curved arrow). Note that the vessel is of higher attenuation than that of the contralateral MCA.

 
As stated above, the ability to exclude intraparenchymal hemorrhage is central to the appropriate treatment of stroke patients. CT has demonstrated nearly 100% sensitivity for the detection of intraparenchymal hemorrhage, except for in very anemic patients with isoattenuating hematomas (hematocrit less than 20%) (13,22). Conspicuity of hemorrhage is based on the differentiation of the attenuation of hemorrhage from that of gray and white matter. Gray matter and white matter have lower attenuation, approximately 39 and 32 HU, respectively (23). Because of the presence of hemoglobin, recent hemorrhage has an attenuation of 56–76 HU and is thus detectable.

Administration of contrast material may be helpful in delineating infarcts in the subacute period when there may be obscuration of the infarct by "fogging" (24). Fogging was described by Becker et al (25) in 1979 as the phenomenon of an area of previously hypoattenuating infarction evolving to a state of isoattenuation between days 14 and 21 after infarction; this occurrence was believed to be secondary to small petechial hemorrhages or infiltration of the infarcted tissue with macrophages (25). Although difficult to see on a nonenhanced study, the area of infarction intensely enhances at the periphery.

Conversely, despite histologic breakdown of the blood-brain barrier beginning on the day of infarction, contrast enhancement is not generally seen during the first 3 days. Further, there is a theoretical concern about intravenous contrast material causing further parenchymal injury in the presence of a disrupted blood-brain barrier (26). Finally, intravenous contrast material has not been demonstrated to increase the detectability of ischemic changes within the first 24 hours (27). Therefore, it is not recommended in the acute evaluation of stroke.

In summary, nonenhanced head CT has a clearly defined role in the current management of acute stroke (Table). A CT scan for the exclusion of hemorrhage is a listed requirement in the package insert for alteplase. Also, in the practice guidelines for the imaging of acute stroke, the Stroke Council of the American Heart Association recommends an initial CT scan (13). It has enabled the implementation of the first efficacious treatment of ischemia. CT is appealing as an imaging study in that it is widely available, can be performed quickly and safely on critically ill patients, and is relatively inexpensive. Further, its utility has been proved in large-scale clinical trials.


View this table:
[in this window]
[in a new window]
 
Algorithm for Determining the Appropriateness of Administration of rt-PA in Patients Presenting within 3 Hours of Ictus
 
LIMITATIONS OF CT IN STROKE INTERVENTION

The current approach to evaluation and treatment of cerebral ischemia with thrombolytics demands further optimization. An analysis of rt-PA thrombolysis estimated that on the basis of the current approach to thrombolysis, there is a 12% chance of an improved outcome at 3 months (28). However, there is also a concomitant 3% increased risk of intracranial hemorrhage. Reperfusion into areas of infarction is associated with an increased risk of hemorrhage (28). As previously noted, in the ECASS study, trained investigators did not detect these "subtle but present changes" in approximately 11% of the patients. von Kummer et al (29) demonstrated that in the first 6 hours after onset of ischemia, 31% of CT scans may be misinterpreted (Fig 3). Although CT may show findings of infarction as early as 3–6 hours after ictus, up to 60% of CT scans are normal in the first few hours after ischemic insult. Thus, despite some reports of high sensitivity in the acute period, it is still accepted that its overall sensitivity is relatively poor (30,31).



View larger version (116K):
[in this window]
[in a new window]
 
Figure 3a. Left hemiparesis upon awakening in a 56-year-old man. (a) Axial CT scan of the head obtained 2 hours after the patient awakened demonstrates subtle loss of demarcation of the posterior aspect of the insular ribbon (large straight arrow) and sulcal effacement (curved arrow). Compare the loss of the sulci on the right (curved arrow) to the normal sulci on the left (small straight arrow). Interpretation at the time of scanning did not detect these findings. (b) Axial CT scan of the head obtained 3 days after presentation demonstrates progression to infarction (straight arrows) and some petechial hemorrhage seen as areas of increased attenuation (curved arrow).

 


View larger version (124K):
[in this window]
[in a new window]
 
Figure 3b. Left hemiparesis upon awakening in a 56-year-old man. (a) Axial CT scan of the head obtained 2 hours after the patient awakened demonstrates subtle loss of demarcation of the posterior aspect of the insular ribbon (large straight arrow) and sulcal effacement (curved arrow). Compare the loss of the sulci on the right (curved arrow) to the normal sulci on the left (small straight arrow). Interpretation at the time of scanning did not detect these findings. (b) Axial CT scan of the head obtained 3 days after presentation demonstrates progression to infarction (straight arrows) and some petechial hemorrhage seen as areas of increased attenuation (curved arrow).

 
A more sensitive method for detecting areas of infarction may lead to improved patient selection for thrombolytic therapy. In the setting of presentation for acute stroke within 3 hours of ictus, a CT scan is typically normal. Aside from the "hyperdense MCA sign," the current approach to selection of a patient as an appropriate candidate for thrombolysis is based on the absence of signs of infarction. For example, a patient presenting with stroke symptoms but a negative CT scan is deemed to be a good candidate for rt-PA. Unfortunately, with this approach, the diagnosis of cerebral ischemic infarction is assigned incorrectly in as many as 20% of these patients (32). Further, analysis of subjects in studies that used similar selection criteria demonstrated that up to 20% of patients will have a negative angiogram, possibly due to early spontaneous lysis of clot (33).

Another 10%–20% had arterial dissections, occlusions sites not readily susceptible to thrombolysis, or minor branch occlusions that without intervention have a favorable natural outcome (33). The lack of sensitivity and specificity in the diagnosis of stroke limits the attainable benefit. Therefore, although CT has proved to be of tremendous benefit, other modalities such as magnetic resonance (MR) imaging may provide an opportunity to further improvements in patient care (12).

CONVENTIONAL MR IMAGING FOR INCREASED SENSITIVITY IN DETECTION OF ACUTE STROKE

Earlier detection of areas of infarction is possible with MR imaging. MR imaging involves placing a patient in an applied external magnetic field. Because of the precessional properties of certain nuclei with an odd molecular mass or odd charge, the most abundant of which is hydrogen, the nuclei will act as small magnets that align with the magnetic field. With the use of applied radio-frequency pulses and receiver coils, it is possible to generate and detect different signals from tissue based on the number of protons per unit volume (ie, spin density) of different substances. MR imaging takes advantage of the fact that water protons have different biophysical relaxation properties, described by times T1 and T2, depending on the microscopic environment of the water protons. Acute cerebral ischemia is characterized by changes in electrolyte and water balance that result in alterations in this environment. These differences can be exploited to increase contrast, and as a result MR imaging is extremely sensitive in the detection of acute infarction.

Acute infarcts are more visible on MR images than on CT scans, with over 80% of MR images positive in the 1st day compared to 60% of CT scans (19). MR imaging is particularly superior in the detection of stroke in the posterior fossa where CT is limited due to beam-hardening artifact from the adjacent skull base. Lacunar infarcts and small cortical strokes are also seen with higher conspicuity (19).

The earliest MR changes are loss of normal intravascular flow voids, morphologic swelling of the gray matter, and increased signal intensity on the T2-weighted and intermediated–weighted (3,000/30 [repetition time msec/echo time msec]) images [Editor's note: The convention of Radiology is to term this sequence intermediate weighted although it has also been termed proton-density weighted]. There is normally a loss of intraarterial signal with standard spin-echo (SE) sequences, referred to as a "flow void," due to precessional phase changes induced by blood flow. In low- or no-flow states, there is a loss of the "flow void" such that signal intensity is demonstrated in the involved vessel (19). Similar to the "hyperdense MCA sign" in CT, absence of flow in involved vessels can be seen immediately after occlusion.

The morphologic changes at MR imaging relate to cellular swelling. These have been shown to appear before the T2 signal changes, although these changes are very subtle. More easily detected are the signal intensity changes that result from an increase in intracellular fluid. These can be detected on both the T2-weighted images or on the intermediated-weighted images with the T1-weighted signal intensity changes the least sensitive for detection of stroke. The changes on the intermediate-weighted changes are often more conspicuous than those on the T2-weighted images, particularly in strokes involving the cortical gray matter (19). The earliest signal intensity changes usually involve the gray matter, with the white matter typically appearing normal in the first 24 hours.

Intermediate-weighted images are also superior for detection of lesions near a ventricle or subarachnoid space. This is because the presence of cerebrospinal fluid (CSF) can make it difficult to identify the lesions on the T2-weighted images given that both CSF and infarcted tissue may have similar signal intensities. CSF is isointense to gray matter, and thus areas of abnormal hyperintensity can be detected. Similarly, intermediate-weighted images enable differentiation of lacunar infarcts from perivascular spaces: the former hyperintense and the latter isointense to CSF.

Intravenous contrast material can provide additional information. Vascular enhancement can be seen in cortical infarcts up to 75% of the time (34). This is believed to be due to slow flow in the region of the infarction. Meningeal enhancement can also be seen acutely in approximately 33% of patients, possibly due to meningeal inflammation (34). Both types of enhancement resolve toward the end of the 1st week. This can potentially delineate the acuteness of a lesion in patients demonstrating more that one area of infarction. In general, however, it is not necessary to administer contrast material to assess the enhancement characteristics of an ischemic lesion. As will be discussed subsequently, the acuteness of a lesion can be adequately determined by using MR diffusion imaging. Administration of contrast material is typically reserved for those instances in which MR perfusion imaging is performed.

New MR techniques are now available to generate images with T2 weighting in less time. A fast SE sequence enables the acquisition of T2-weighted images in a fraction of the time required to obtain similar conventional SE images(roughly four to 16 times faster). This is made possible by acquiring multiple lines in k space per repetition time, TR (number of lines acquired equal to the echo train length). In conventional SE imaging, only one line of k space is acquired per repetition time. Whereas the time of acquisition of an SE image is number of signals acquired (NSA) x TR x the number of phase encoding steps (Nphase), time of acquisition in fast SE imaging is (NSA x TR x Nphase)/ETL, where ETL is the echo train length. For example, with an echo train length of 8, a fast SE evaluation of equal resolution could be performed as much as eight times faster. This is of particular value in evaluating patients with acute stroke for which prompt diagnosis and institution of therapy portends the greatest likelihood of tissue salvage. Other benefits include reduced flow artifacts due to even echo rephasing, a result of the symmetric sequence design within a repetition time cycle (35). This may increase the conspicuity of posterior fossa lesions where flow-related artifacts can be particularly problematic (36). Further, the ability to rapidly acquire the images enables timely performance of high-spatial-resolution T2-weighted imaging and limits patient motion artifact. Although the information obtained is similar with equivalent detectability of large lesions, the detection of small lesions is decreased (37). This may be due to the image blurring that occurs in the phase direction due to unequal echo delays in the echo train (38). Further, true proton-density–weighted images are not as reliably obtained, limiting the ability to differentiate perivascular spaces from lacunar infarcts.

Lesion conspicuity can be further optimized by using an inversion-recovery sequence in which an initial 180° radio-frequency pulse is followed at an inversion time by a 90° radio-frequency pulse. The latter converts the partially recovered longitudinal magnetization to transverse magnetization, at which point it is detected (39). For a given T1 relaxation time, an inversion time can be used that will result in zero transverse magnetization. A fluid-attenuated inversion-recovery (FLAIR) sequence using an inversion time approximating the null point of CSF (2,200 msec) combined with a long echo time to obtain T2 weighting suppresses the signal from CSF while maintaining the hyperintensity associated with pathologic processes (40). This leads to reduced artifacts due to CSF flow and volume averaging and results in excellent conspicuity of both small and large lesions (41). FLAIR is superior to fast SE T2-weighted and intermediate-weighted images in the evaluation of cerebrovascular disease, with lacunar and cortical infarcts more conspicuous (Fig 4) (42).



View larger version (146K):
[in this window]
[in a new window]
 
Figure 4a. Left hemianopsia in a 67-year-old woman. MR imaging was performed 12 hours after onset of symptoms. (a) Axial T2-weighted MR image (3,000/100 [repetition time msec/echo time msec], 5-mm section thickness, 256 x 192 matrix) demonstrates a subtle area of hyperintensity (arrow) in the right occipital lobe. Proximity to the adjacent CSF obscures this area of infarction. (b) Axial intermediate-weighted image (3,000/25, 5-mm section thickness, 256 x 192 matrix) demonstrates the area of hyperintensity (arrow) with increased conspicuity because the CSF signal was isointense to gray matter. (c) Axial FLAIR MR image (10,002/104/2,200 [repetition time msec/echo time msec/inversion time msec], 5-mm section thickness, 256 x 192 matrix) demonstrates the area of hyperintensity (arrow) with optimal conspicuity due to nulling of signal from CSF.

 


View larger version (165K):
[in this window]
[in a new window]
 
Figure 4b. Left hemianopsia in a 67-year-old woman. MR imaging was performed 12 hours after onset of symptoms. (a) Axial T2-weighted MR image (3,000/100 [repetition time msec/echo time msec], 5-mm section thickness, 256 x 192 matrix) demonstrates a subtle area of hyperintensity (arrow) in the right occipital lobe. Proximity to the adjacent CSF obscures this area of infarction. (b) Axial intermediate-weighted image (3,000/25, 5-mm section thickness, 256 x 192 matrix) demonstrates the area of hyperintensity (arrow) with increased conspicuity because the CSF signal was isointense to gray matter. (c) Axial FLAIR MR image (10,002/104/2,200 [repetition time msec/echo time msec/inversion time msec], 5-mm section thickness, 256 x 192 matrix) demonstrates the area of hyperintensity (arrow) with optimal conspicuity due to nulling of signal from CSF.

 


View larger version (163K):
[in this window]
[in a new window]
 
Figure 4c. Left hemianopsia in a 67-year-old woman. MR imaging was performed 12 hours after onset of symptoms. (a) Axial T2-weighted MR image (3,000/100 [repetition time msec/echo time msec], 5-mm section thickness, 256 x 192 matrix) demonstrates a subtle area of hyperintensity (arrow) in the right occipital lobe. Proximity to the adjacent CSF obscures this area of infarction. (b) Axial intermediate-weighted image (3,000/25, 5-mm section thickness, 256 x 192 matrix) demonstrates the area of hyperintensity (arrow) with increased conspicuity because the CSF signal was isointense to gray matter. (c) Axial FLAIR MR image (10,002/104/2,200 [repetition time msec/echo time msec/inversion time msec], 5-mm section thickness, 256 x 192 matrix) demonstrates the area of hyperintensity (arrow) with optimal conspicuity due to nulling of signal from CSF.

 
Initial clinical implementation of FLAIR was limited because the required inversion time resulted in a relatively inefficient sequence, with the time to evaluate the brain on the order of 12 minutes. Thus, despite the increased conspicuity of abnormalities, the trade-off in time did not warrant the benefits, particularly since an intermediate-weighted image yields similar information. Recently, it became possible to combine the enhanced conspicuity of FLAIR with the speed of fast imaging techniques (43). Modified fast FLAIR and fast SE FLAIR can reduce imaging time to 2–5 minutes (44). As a result, it is now possible to obtain T2-weighted images with high conspicuity (due to CSF suppression) in a short period of time.

MR Exclusion of Intraparenchymal Hemorrhage
As previously mentioned, exclusion of intraparenchymal hemorrhage is central to the evaluation of acute stroke. Conventional SE techniques are highly sensitive for the detection of subacute and chronic hemorrhage. Deoxyhemoglobin, methemoglobin, and hemosiderin are the breakdown products of hemoglobin (45). These substances are paramagnetic and with retraction, into a fibrin clot, they cause a marked alteration in relaxation properties (46). In the hyperacute stages of hemorrhage in which there has been minimal conversion of oxyhemoglobin to breakdown products and no mature clot formation, conventional MR sequences are less sensitive. This has caused reluctance to rely on MR as the primary imaging modality in acute stroke due to concerns of false-negative results.

Conventional SE imaging techniques have a lower sensitivity for the detection of blood products due to an applied 180° radio-frequency phase refocusing pulse. Fast SE techniques have an even lower sensitivity. However, gradient-recalled-echo (GRE) imaging employs a reversal of the readout gradient, without a refocusing radio-frequency pulse, resulting in high sensitivity to magnetic field inhomogeneity induced by the presence of the paramagnetic breakdown products of blood. As a result, GRE images are particularly sensitive in the detection of acute intraparenchymal hemorrhage (45) (Fig 5). When conventional SE sequences are supplemented with GRE hemosiderin-sensitive sequences, the earlier stages of hemorrhage can be diagnosed equally well with MR imaging and CT (45,47). The criteria for the presence of hemorrhage on MR images are increased signal intensity on the T1-weighted images, decreased signal intensity on the T2-weighted images, and/or decreased signal intensity on the GRE images when the signal intensity is compared to that of white matter. In the hyperacute stage, the central area of hemorrhage will appear somewhat similar to CSF, but there is often a subtle halo of hypointensity on GRE images.



View larger version (130K):
[in this window]
[in a new window]
 
Figure 5a. Acute onset of right hemiparesis and aphasia in a 52-year-old man. CT scan was obtained 4 hours after onset of symptoms and demonstrated a left frontoparietal intraparenchymal hematoma. MR images were obtained 7 hours after onset of symptoms. (a) Axial CT scan of the head demonstrates a central area of increased attenuation (curved arrow) compatible with a hemorrhage. Peripherally, there is surrounding edema manifested as decreased attenuation (straight arrows). (b) Axial intermediate-weighted MR image (3,000/25, 5-mm section thickness, 256 x 192 matrix) demonstrates diffuse hyperintensity in the left frontoparietal lobe (straight arrow). There is a more focal area posteriorly that is heterogeneous (curved arrow). (c) Axial GRE image (3,000/25, 23° flip angle, 5-mm section thickness, 256 x 192 matrix) demonstrates marked hypointensity (curved arrow) compatible with a hematoma. This demonstrates the increased sensitivity of GRE images for the detection of intraparenchymal hemorrhage.

 


View larger version (115K):
[in this window]
[in a new window]
 
Figure 5b. Acute onset of right hemiparesis and aphasia in a 52-year-old man. CT scan was obtained 4 hours after onset of symptoms and demonstrated a left frontoparietal intraparenchymal hematoma. MR images were obtained 7 hours after onset of symptoms. (a) Axial CT scan of the head demonstrates a central area of increased attenuation (curved arrow) compatible with a hemorrhage. Peripherally, there is surrounding edema manifested as decreased attenuation (straight arrows). (b) Axial intermediate-weighted MR image (3,000/25, 5-mm section thickness, 256 x 192 matrix) demonstrates diffuse hyperintensity in the left frontoparietal lobe (straight arrow). There is a more focal area posteriorly that is heterogeneous (curved arrow). (c) Axial GRE image (3,000/25, 23° flip angle, 5-mm section thickness, 256 x 192 matrix) demonstrates marked hypointensity (curved arrow) compatible with a hematoma. This demonstrates the increased sensitivity of GRE images for the detection of intraparenchymal hemorrhage.

 


View larger version (136K):
[in this window]
[in a new window]
 
Figure 5c. Acute onset of right hemiparesis and aphasia in a 52-year-old man. CT scan was obtained 4 hours after onset of symptoms and demonstrated a left frontoparietal intraparenchymal hematoma. MR images were obtained 7 hours after onset of symptoms. (a) Axial CT scan of the head demonstrates a central area of increased attenuation (curved arrow) compatible with a hemorrhage. Peripherally, there is surrounding edema manifested as decreased attenuation (straight arrows). (b) Axial intermediate-weighted MR image (3,000/25, 5-mm section thickness, 256 x 192 matrix) demonstrates diffuse hyperintensity in the left frontoparietal lobe (straight arrow). There is a more focal area posteriorly that is heterogeneous (curved arrow). (c) Axial GRE image (3,000/25, 23° flip angle, 5-mm section thickness, 256 x 192 matrix) demonstrates marked hypointensity (curved arrow) compatible with a hematoma. This demonstrates the increased sensitivity of GRE images for the detection of intraparenchymal hemorrhage.

 
Conventional SE and fast SE MR images are also insensitive to the presence of acute subarachnoid hemorrhage. However, FLAIR images have been shown to be highly sensitive in the detection of acute, subacute, and chronic subarachnoid hemorrhage (48,49). Despite this, many radiologists and most clinicians remain more "confident" using CT as the imaging tool for the diagnosis of subarachnoid hemorrhage. Willingness to rely on MR imaging as a primary diagnostic tool in the evaluation of stroke will be benefited by more first-hand experience with the reliability of MR imaging in the detection of intraparenchymal and subarachnoid hemorrhage.

Assessing Large-Vessel Patency
As discussed earlier, approximately 20% of patients presenting with symptoms of acute cerebral ischemia do not have an angiographically demonstrable vascular occlusion. An additional 10%–20% have small-vessel occlusions or dissections for which thrombolysis is unlikely to be of benefit. Thus, in addition to demonstrating areas of infarction, it is equally important to demonstrate that there is a vascular lesion that is amenable to thrombolysis.

MR angiography enables the noninvasive evaluation of vascular patency. Images can be generated on which flow within the vessel is increased in signal intensity (bright blood) or on which the lumen is depicted as decreased in signal intensity (black blood); the former is the more commonly used technique. Time of flight is the most frequently used bright-blood MR angiographic technique. Key issues in MR angiography are optimizing intravascular signal intensity and maximizing suppression of stationary spins. Time of flight applies a GRE sequence, enabling the use of a shorter echo time and repetition time than those of SE imaging, important in minimizing signal loss due to intravascular intravoxel phase dispersion and optimizing suppression of stationary tissue, respectively. For evaluating the intracranial circulation, a volumetric (three-dimensional) acquisition is optimal, enabling thinner voxels, which limits intravoxel phase dispersion and the associated artifactual signal loss in the region of stenoses. In time-of-flight MR angiography, background suppression is particularly important. Magnetization transfer and manipulation of echo time such that fat and water are out of phase yield improved background suppression. Additionally, increasing the flip angle in the direction of flow minimizes saturation effects, which optimizes intravascular signal recovery in the more distal vessels. Loss of phase coherence limits usefulness in small peripheral vessels by preventing generation of an intravascular signal. However, an image similar to a conventional arteriogram can be reconstructed from the intravascular signals that is sensitive to large vessel occlusion or narrowing in the internal carotid, vertebral, basilar, and first and second segments of the anterior, middle, and posterior cerebral arteries. Although the value of MR angiography has yet to be shown in a large-scale clinical trial, the need for differentiating which patients have lesions amenable to thrombolysis seems clear given the potential risks of treatment (Fig 6).



View larger version (155K):
[in this window]
[in a new window]
 
Figure 6a. Acute onset of left-sided hemiparesis in a 43-year-old woman with hypertension. CT was performed 4 hours after onset of symptoms. MR imaging was performed 12 hours after onset of symptoms. (a) Axial CT scan of the head was interpreted as normal. Note that the insular ribbons (straight arrows), the gray matter-white matter differentiation (arrowhead), and the internal capsules (curved arrows) are normal. (b) Axial FLAIR MR image(10,002/104/2,200, 5-mm section thickness, 256 x 192 matrix) demonstrates no evidence of a right hemispheric infarction. (c) Three-dimensional time-of-flight MR angiogram (53/4.1, 1.1- mm section thickness, 512 x 192 matrix) demonstrates occlusion (arrow) of the right MCA, potentially amenable to thrombolysis.

 


View larger version (158K):
[in this window]
[in a new window]
 
Figure 6b. Acute onset of left-sided hemiparesis in a 43-year-old woman with hypertension. CT was performed 4 hours after onset of symptoms. MR imaging was performed 12 hours after onset of symptoms. (a) Axial CT scan of the head was interpreted as normal. Note that the insular ribbons (straight arrows), the gray matter-white matter differentiation (arrowhead), and the internal capsules (curved arrows) are normal. (b) Axial FLAIR MR image(10,002/104/2,200, 5-mm section thickness, 256 x 192 matrix) demonstrates no evidence of a right hemispheric infarction. (c) Three-dimensional time-of-flight MR angiogram (53/4.1, 1.1- mm section thickness, 512 x 192 matrix) demonstrates occlusion (arrow) of the right MCA, potentially amenable to thrombolysis.

 


View larger version (75K):
[in this window]
[in a new window]
 
Figure 6c. Acute onset of left-sided hemiparesis in a 43-year-old woman with hypertension. CT was performed 4 hours after onset of symptoms. MR imaging was performed 12 hours after onset of symptoms. (a) Axial CT scan of the head was interpreted as normal. Note that the insular ribbons (straight arrows), the gray matter-white matter differentiation (arrowhead), and the internal capsules (curved arrows) are normal. (b) Axial FLAIR MR image(10,002/104/2,200, 5-mm section thickness, 256 x 192 matrix) demonstrates no evidence of a right hemispheric infarction. (c) Three-dimensional time-of-flight MR angiogram (53/4.1, 1.1- mm section thickness, 512 x 192 matrix) demonstrates occlusion (arrow) of the right MCA, potentially amenable to thrombolysis.

 
Extending the Treatment Window beyond 3 Hours
Thus, the use of conventional MR imaging provides many benefits over CT in the use of thrombolytics within 3 hours of ictus. It has increased sensitivity to the presence of infarction, equivalent sensitivity for the detection of intraparenchymal hemorrhage, and facilitates assessment of large-vessel patency. However, even with conventional MR imaging, areas of infarction are often not demonstrated in the first 6 hours. Thus, despite the increased sensitivity of MR imaging for the detection of infarction, it is still inadequate to extend the treatment window beyond 3 hours. Methods more sensitive to the early changes of infarction are needed to avoid reperfusion of areas of infarction and risk of hemorrhage. Expanding the therapeutic window will require techniques that are not only sensitive to the presence of infarction, but also capable of delineating areas at risk for infarction. This may now be possible with advanced MR imaging techniques.

TREATABLE TISSUE BEYOND 3 HOURS: THE PENUMBRA

Compared to other tissues such as muscle, the brain has little capacity to store energy. In zero-flow states (complete ischemia), the available energy will maintain cell viability for approximately 2–3 minutes. More often, ischemia is incomplete, with the area of greatest compromise located centrally with a large area of surrounding tissue at risk but remaining viable. The central region in which cell death will occur generally corresponds to a region in which energy supply is insufficient to maintain membrane pumps leading to loss of the membrane potential. The surrounding at-risk area can have detectably abnormal evoked potentials but has not undergone cell depolarization. This area is referred to as the penumbra (50,51).

The progression of acute stroke is a common occurrence. The mechanisms for progression of infarct are multiple, including cerebral edema, hemorrhagic transformation, poor collateral flow, low blood pressure, or increased blood glucose levels. Animal and human studies (19,52) have documented both reversal of ischemia and progression of ischemic tissue to infarction over periods as long as 36 hours. In a study by Castillo et al (52), 34% of patients demonstrated such progression with a drop in their Canadian Stroke Scale score of 1 or more over 48 hours. Bryan et al (19) demonstrated that at least one-third of MR imaging studies showed that stroke areas increased in size after 24 hours. This suggests that there is salvageable tissue beyond the currently accepted 3-hour therapeutic window.

ADVANCED MR IMAGING TECHNIQUES FOR BETTER DEFINITION OF STROKE

The imaging requirements for extending the treatment window are delineation of areas of infarction and risk of infarction, evaluation of large-vessel patency, and exclusion of nonischemic causes of symptom onset. Conventional CT combined with CT angiography and CT perfusion imaging has promise due to its accessibility and ability to demonstrate areas of hemorrhage, large-vessel occlusions, and regions of hypoperfusion (52a). However, it remains somewhat limited by its current low sensitivity for delineating irreversibly injured tissue in the hyperacute period. Numerous other imaging techniques can contribute in assessing individual parameters, but few are both comprehensive and expeditious. These include xenon-enhanced CT, positron emission tomography (PET), single photon emission CT, and transcranial Doppler ultrasonography. For example, whereas PET provides important quantitative information related to blood flow and oxygen extraction, current limitations in anatomic delineation (and accessibility) have hampered its routine use in accessing stroke patients (53). Conversely, MR imaging generally has higher spatial resolution than other tomographic techniques (similar to that of CT), enabling anatomic, physiologic, and metabolic analysis in a single examination. Therefore, rather than presenting the wide array of available imaging techniques, in reviewing the state of the art for acute stroke imaging, emphasis is focused on the potential of advanced MR imaging techniques to provide the information relevant to the treatment of cerebral ischemia in a time-efficient and comprehensive fashion. Three newer techniques hold great promise for increasing the sensitivity of detecting infarction and demarcating the area at risk and are reviewed in detail. These techniques include MR diffusion imaging, MR perfusion imaging, and proton MR spectroscopic imaging.

MR Diffusion Imaging
The effects of molecular self-diffusion on the amplitude of SE MR signals was recognized early in the development of nuclear MR spectroscopy (54), and the equations and pulsed field gradient methods published by Stejskal and Tanner (55) in 1965 form the basis of modern diffusion-weighted MR imaging (56). In 1990, Moseley et al (57) demonstrated in an animal stroke model that the apparent diffusion coefficient (ADC) decreased by approximately 30%–50% within 30 minutes after onset of focal ischemia. This change occurs while other MR image types such as T2- or intermediate-weighted images remain normal (Fig 7) (57,58). It is now well demonstrated that the majority of the diffusion changes coincide with the membrane depolarization due to Na+,K+-ATPase pump failure (5961), and this can be measured instantaneously by using MR imaging (58,62). This coincides with water redistribution between intra- and interstitial space upon energy failure, although the exact physical mechanism for the changes in diffusion-weighted imaging is still a point of discussion (6367). Although many mechanisms have been proposed, it is generally believed that the most likely cause of the decrease in ADC values is the redistribution of water from the interstitial to the (diffusion-restricted) intracellular space, as the energy-dependent Na+,K+-ATPase pumps fail (ie, the initiation of cytotoxic edema) (63,65,6870). Of note is that there is also ample proof that the explanation based on a high interstitial and low intracellular diffusion constant is somewhat of an oversimplification. Further experimental data are needed to support the interstitial diffusion values that underlie this assumption.



View larger version (122K):
[in this window]
[in a new window]
 
Figure 7a. Acute onset of left-sided hemiparesis in a 72-year-old man. MR images were obtained 4 hours after ictus. (a) Axial T2-weighted image (3,000/100, 5-mm section thickness, 256 x 192 matrix) demonstrates no evidence of abnormality. (b) Axial, single-shot echo-planar diffusion-weighted image (5,000/126, 5-mm section thickness, 128 x 128) demonstrates two areas of hyperintensity (arrows) in the right MCA distribution. This finding is compatible with an acute infarct. (c) Axial, pure diffusion Dav MR image (5,000/126, 5-mm section thickness, 128 x 128 matrix) demonstrates decreased signal intensity (arrows) in the right MCA distribution. The areas of decreased ADC (hypointensity) correspond to an acute infarct.

 


View larger version (116K):
[in this window]
[in a new window]
 
Figure 7b. Acute onset of left-sided hemiparesis in a 72-year-old man. MR images were obtained 4 hours after ictus. (a) Axial T2-weighted image (3,000/100, 5-mm section thickness, 256 x 192 matrix) demonstrates no evidence of abnormality. (b) Axial, single-shot echo-planar diffusion-weighted image (5,000/126, 5-mm section thickness, 128 x 128) demonstrates two areas of hyperintensity (arrows) in the right MCA distribution. This finding is compatible with an acute infarct. (c) Axial, pure diffusion Dav MR image (5,000/126, 5-mm section thickness, 128 x 128 matrix) demonstrates decreased signal intensity (arrows) in the right MCA distribution. The areas of decreased ADC (hypointensity) correspond to an acute infarct.

 


View larger version (112K):
[in this window]
[in a new window]
 
Figure 7c. Acute onset of left-sided hemiparesis in a 72-year-old man. MR images were obtained 4 hours after ictus. (a) Axial T2-weighted image (3,000/100, 5-mm section thickness, 256 x 192 matrix) demonstrates no evidence of abnormality. (b) Axial, single-shot echo-planar diffusion-weighted image (5,000/126, 5-mm section thickness, 128 x 128) demonstrates two areas of hyperintensity (arrows) in the right MCA distribution. This finding is compatible with an acute infarct. (c) Axial, pure diffusion Dav MR image (5,000/126, 5-mm section thickness, 128 x 128 matrix) demonstrates decreased signal intensity (arrows) in the right MCA distribution. The areas of decreased ADC (hypointensity) correspond to an acute infarct.

 
The flow threshold for large ADC reduction (eg, 50%–80% of control values) appears to be in the 15–20 mL/100 g per minute range, (71) similar to the threshold for electrical failure and symptom onset, while small (10%) reductions may be seen below 30 mL/100 g per minute (72). In focal ischemia, the degree of ADC reduction has been reported to depend on both the anatomic location and the duration of ischemia (7375). Provided that the duration of ischemia is short enough, reperfusion leads to a restoration of normal ADC and energy metabolism (62). If ischemia is prolonged, ADC may not recover fully, depending on the length of ischemia and the value of the ADC immediately before reperfusion (75,76). In one study of fixed ischemic duration (45 minutes), only ischemic tissue with a change in ADC of less than 0.25 x 10-3 mm2/sec recovered (did not infarct) after reperfusion (77). In studies of human stroke, areas of reduced ADC have almost inevitably progressed to infarction presumably because most of the images are obtained several hours, or even days, after stroke onset (78,79). However, it is generally accepted that a single measure of ADC alone cannot distinguish reversible from irreversible ischemic damage; both the duration of ischemia (which often cannot readily be determined in human stroke) and the reduction in ADC determine reversibility (80,81).

Therefore, there have been attempts to associate diffusion-weighted imaging with other imaging parameters (such as T2), which, when used in combination, may better stage stroke progression (58,82). This was first performed in a permanent MCA occlusion model in the rat; after the initial ADC drop, by 12 hours, as vasogenic edema begins to accumulate, the T2 begins to increase (this stage of stroke is particularly conspicuous on diffusion-weighted images, which, because of limited gradient strength on clinical imagers, are both diffusion- and T2-weighted in most cases) (83). As ischemia continues, the ADC begins to return to normal (12–24 hours in this model) and eventually becomes elevated (24–48 hours) as necrosis occurs. Various combinations of ADC and T2 ("signatures") were identified, which corresponded to the different histopathologic conditions of evolving infarction. The same behavior has also been observed in human stroke, although the time scale appears to be different, with several groups finding a slower recovery and increase in ADC (after several days) compared to that in the animal studies (84,85). However, this has been somewhat controversial and may be partly technique dependent.

Although diffusion-weighted imaging can help identify stroke location, therefore, it is questionable if it alone can differentiate reversible from irreversible ischemic injury. However, the ability to positively diagnose stroke from an imaging perspective is extremely valuable for initiating stroke therapy (86). Diffusion-weighted imaging has also been shown to enable differentiation of acute from nonacute infarcts (87), to help predict outcome (88,89), and to facilitate correlation with final infarct size, although final infarcts were larger than abnormalities at diffusion-weighted imaging seen at 6, 12, or 24 hours (78). It was suggested that enlargement of the area of infarction was likely to occur if the area of perfusion deficit was larger than the area of diffusion abnormality (90). We and others also found that acute perfusion abnormalities tend to be larger than final infarct size (88,91,92). While the exact time scale for ADC reversal is still debated, the ability of diffusion-weighted imaging to distinguish an acute from a chronic lesion is of great clinical interest (93). In addition, it was found possible to predict which strokes would improve versus those that would not on the basis of the diffusion-weighted image: In one report of 40 patients, only four had no detectable abnormality on diffusion-weighted images; in all four of these patients, the neurologic deficit subsequently resolved (90). However, there have been isolated reports of patients with negative diffusion-weighted imaging studies who subsequently developed infarction (94).

For all of these reasons, diffusion-weighted imaging is becoming an essential stroke imaging modality, but diffusion-weighted imaging of the human brain also poses numerous technical challenges. Perhaps the most difficult problem is the elimination of motion artifacts on the heavily diffusion-weighted images. Large phase errors can occur during application of the diffusion gradients as the result of macroscopic sample motion. Various different approaches have been tried to address this problem. One approach is to image as rapidly as possible in order to minimize potential motion. If the image can be recorded in a single shot, for instance by using echo-planar imaging, every line of k space has the same phase error, so no image artifacts are present after Fourier transformation and magnitude calculation (90). Other rapid imaging techniques, such as gradient- and spin-echo (GRASE) or fast low-angle shot (FLASH), may also be used (95,96). An alternative approach is to measure, and correct for, the phase error on each line of k space, by recording a second, non–phase-encoded echo (called a "navigator" echo) (97). This approach allows diffusion imaging to be performed with conventional SE sequences, which are generally less demanding on MR instrumentation and have better signal-to-noise ratio and fewer susceptibility artifacts than those of single-shot imaging sequences. However, adequate correction with navigator echoes is only possible for relatively simple, small amplitude motions, and this approach is less favorable than fast imaging methods, particularly for noncompliant patients, and/or when multiple b values and gradient directions are required. As a result, echo-planar diffusion is the most practical and commonly used method for stroke imaging (79).

Another technical issue regards the directional dependence of the ADC. While the ADC in liquids is isotropic, in biological samples the motion of water molecules is partially restricted, resulting in different diffusivities in different directions (anisotropy). Mathematically, diffusion therefore has to be described as a tensor, and the signal attenuation in diffusion-weighted imaging will depend on the direction and amplitude of the applied gradients, which is proportional to the proton gyromagnetic ratio, the gradient length, and the diffusion time, with the time between the (start of) two gradients in the diffusion experiment, and x, y, and z are the orthogonal directions defined by the scanner magnetic field gradients.

In the brain, ADC anisotropy is particularly evident in white matter, due to the greater diffusivity of water parallel (as opposed to perpendicular) to the axonal fibers. This property can potentially be exploited to noninvasively map brain fiber tracts and directions (70), and to study the processes of myelination (98) and demyelinating diseases (99). However, in the context of stroke imaging, diffusion anisotropy is largely an added complication: If only a single diffusion-gradient direction is used (as in the case of most early studies of human stroke), hyperintensity is often observed in the densely myelinated corticospinal tracts, corpus callosum, or other white matter regions, which may be difficult to distinguish from reductions in ADC due to ischemia. This important problem can be avoided by using certain combinations of these ADCs that are not orientation-dependent, such as the so-called trace of the diffusion tensor (100). Trace imaging is a more reliable method for measuring changes in ADCs and may avoid interpretation errors due to the intrinsic anisotropy of the brain (81,100).

With appropriate pulse sequence design, the orientation-independent trace or average value of the diffusion constant, Dav, can be measured, which provides nearly uniform diffusion-weighted images in normal brain (90,100). Normal Dav values are approximately 3.2 x 10-5 cm2/sec for CSF and 0.8 x 10-5 cm2/sec for human brain parenchyma (101). Gray matter may have a slightly higher (by approximately 10%) Dav than that of white matter, although it is difficult to measure cortical gray matter regions of interest that are completely free from CSF contamination. Trace images can be constructed either by measuring Dxx, Dyy, and Dzz in separate experiments, or by using sequences that give isotropic diffusion-weighting in a single shot (102). Each approach has its own advantages and disadvantages: The single-shot trace methods are fast and are not subject to errors due to head motion (or different eddy-current artifacts) between different sequences. However, they are more demanding on gradient strength, and with typical currently available gradient sets, maximum b values are rather low using acceptable echo times (eg, on our current GE Medical Systems unit [Milwaukee, Wis] with "echo-speed" gradients, Gmax = 2.2 G/cm, with an echo time approximately 126 msec, bmax approximately 550 sec/mm2) (103,104). Ideally, b values in the range of 1,000–1,500 sec/mm2 have been shown to give optimal contrast for stroke diffusion-weighted imaging studies (105). Individual measurements of Dxx, Dyy, and Dzz, as well as applying gradient combinations in the xy, xz, and yz directions, allow the full diffusion tensor to be determined, and to calculate indexes of diffusion anisotropy, which may also change in ischemia (106). Higher b values can be obtained for better contrast, but at the expense of increased imaging time compared to that of the single-shot trace methods. A minor advantage of the single-shot trace sequence, but nevertheless an important one in the clinical environment, is that less offline processing is required to view orientation-independent images. Newer imagers with "scalable" gradient driver hardware can produce gradient strengths of up to 4 G/cm, which should enable single-shot imaging with adequate b-value weighting (104).

MR Perfusion Imaging
MR imaging of cerebral perfusion can be performed by injecting a bolus of gadopentetate dimeglumine (107). In normal brain, the paramagnetic contrast agent gadopentetate dimeglumine remains enclosed within the cerebral vasculature; this shortens the longitudinal relaxation time (T1) of blood, which causes a paramagnetic frequency shift within the vessel, and creates local magnetic field inhomogeneities in surrounding tissues, which shorten the transverse relaxation time constant T2* (108113). Under certain conditions, each one of these effects is linearly proportional to the concentration of the tracer (contrast agent) within the image pixel. Therefore, by using the theory of tracer kinetics, rapid MR images acquired during the first pass of the contrast agent through the brain can be analyzed to produce images of relative regional cerebral blood volume rCBV (114). If an estimate of the arterial input function is available, the mean transit time MTT, and regional cerebral blood flow rCBF can also be estimated (rCBF = rCBV/MTT) (115,116). In lesions where the blood-brain barrier is disrupted, the latter part of the signal intensity–time curve can also be analyzed to give an index of relative blood-brain barrier permeability (117), although in most patients with acute stroke this may be expected to be small.

The theory of calculating regional cerebral blood flow from data sets of this type is complicated and too involved to be repeated here (116,118). A number of assumptions are required in order to perform the calculation, including such factors as estimation of capillary hematocrit, the assumption that the change in R2* ({Delta}R2* = -ln[S/S0]/TE) signal intensity changes follows the same dependency in the microvasculature and major vessels, and the difficulty of performing the appropriate mathematical deconvolution on rather coarsely digitized and noisy data. In some experiments, the input function may not be available, and it is debatable as to where the input function should be determined in stroke patients with occluded major vessels. For these reasons, all MR perfusion studies of human stroke to date have used relative measures of regional cerebral blood volume or other, nonquantitative perfusion-related parameters.

Theoretically, the distribution of an intravenously administered bolus leaving the heart-lung system should follow a gamma-variate function (119). Cerebral blood volume is proportional to the area under the curve; it can be seen that several simple parameters are easily measured and sensitive to changes in blood flow: peak signal intensity changes, time to peak, and width at half height (Fig 8). Each of these parameters is loosely proportional (or inversely proportional) to blood flow. Since, from PET studies, regional cerebral blood volume is known to be relatively nonspecific in stroke (120), these alternative, hemodynamic, flow-related parameters may be more sensitive for detection of abnormalities. PET has shown that cerebral blood volume may be unchanged, increased (as the result of compensatory vasodilatation), or decreased (as the result of collapse and/or occlusion of the ischemic vasculature) in cerebrovascular disease. Blood flow, however, is always reduced unless reperfusion and hyperemia have occurred. We found that arrival time (ie, time to peak) maps were much more sensitive than cerebral blood volume maps in detecting abnormalities in acute stroke, and this has also been the experience of others (92,121). In patients with occluded vessels, bolus arrival times were substantially longer than in contralateral hemispheres with patent vessels. Increased arrival times could be due to two reasons: (a) blood flow may be decreased, with increased mean transit times (at constant blood volume), or (b) the flow may be collateral or contralateral, with the result that the bolus has to traverse a longer path in order to reach the ischemic region. It is also possible that both mechanisms are involved. This delineation is benefited by assessing for large-vessel occlusion with MR angiography.



View larger version (19K):
[in this window]
[in a new window]
 
Figure 8. Simulated gamma-variate functions at constant blood volume for three different relative blood flows. The shaded gamma variant function depicts the values of interest including time to peak (b) and peak height (c). The bolus delay (a) is also depicted. The shaded area is proportional to regional cerebral blood volume.

 
Relative, as opposed to absolute, indexes of blood flow (and blood volume) can therefore be useful in acute stroke. It has been shown that MR perfusion imaging can be used to detect early ischemic changes in patients with acute stroke, with much higher sensitivity than that of conventional MR imaging (122). Decreases in apparent blood volume were correlated with the presence of major vessel occlusion as demonstrated with MR angiography and were predictive of poor clinical outcome (122,123). Recently, there have also been reports of perfusion deficits that were not associated with either diffusion-weighted imaging or conventional MR imaging abnormalities, which subsequently proceeded to infarction by the time of the follow-up images (94,124). Presumably, these represent lesions in which the blood flow was in an intermediate region—below the threshold for electrical failure (symptom onset), but above the threshold for cytotoxic edema and reduced ADC. These cases highlight the need for both perfusion and diffusion MR imaging in acute stroke. It has also been reported that the area of perfusion abnormality often exceeds the area of diffusion abnormality, and that this mismatch may represent the ischemic penumbra (Fig 9) (50,78). In support of this, follow-up images in these patients usually depicted larger regions of infarction than seen on (acute) diffusion-weighted images, although not as large as the initial perfusion deficit. Perfusion imaging, alone, therefore, may overestimate areas of final infarction, most likely because it is presently not yet possible to identify a critical flow threshold on the nonquantitative images. In these studies, focal perfusion deficits were identified on cerebral blood volume or mean transit time maps, which were different from the surrounding tissue or contralateral hemisphere. Comparison of perfusion parameters to the contralateral hemisphere is perhaps the easiest way to currently interpret MR perfusion parameters, but should be done with caution since blood flow may not be normal in the contralateral hemisphere for several possible reasons including the occurrence of bilateral atherosclerotic disease, remote effects of the stroke, or old contralateral lesions (125127).



View larger version (111K):
[in this window]
[in a new window]
 
Figure 9a. Right hemiparesis in a 37-year-old man. MR imaging was performed 8 hours after ictus. (a) Axial diffusion-weighted image (5,000/126, 5-mm section thickness, 128 x 128) demonstrates a focal area of hyperintensity (arrow) in the left corona radiata and centrum semiovale. This lesion is too focal to explain the patient's symptom complex. (b) Axial echo-planar perfusion MR image (5,000/50, 5-mm section thickness, 128 x 128 matrix) is scaled such that hyperintensity corresponds to delayed time to peak. Note that the area of delayed arrival time (arrows) is larger than the diffusion abnormality. The area of demonstrated abnormality better corresponds to the patient's deficits. This appearance corresponds to the theoretic model of the penumbra.

 


View larger version (108K):
[in this window]
[in a new window]
 
Figure 9b. Right hemiparesis in a 37-year-old man. MR imaging was performed 8 hours after ictus. (a) Axial diffusion-weighted image (5,000/126, 5-mm section thickness, 128 x 128) demonstrates a focal area of hyperintensity (arrow) in the left corona radiata and centrum semiovale. This lesion is too focal to explain the patient's symptom complex. (b) Axial echo-planar perfusion MR image (5,000/50, 5-mm section thickness, 128 x 128 matrix) is scaled such that hyperintensity corresponds to delayed time to peak. Note that the area of delayed arrival time (arrows) is larger than the diffusion abnormality. The area of demonstrated abnormality better corresponds to the patient's deficits. This appearance corresponds to the theoretic model of the penumbra.

 
Perfusion MR imaging with a bolus of gadopentetate dimeglumine requires rapid, susceptibility weighted MR imaging in order to adequately sample the first pass of the bolus through the brain. A temporal resolution of at least one image frame every 2 seconds is preferable. Early studies used single-section conventional GRE imaging (128). However, for stroke, multisection imaging with full brain coverage is desirable; this can only be achieved with rapid, single-shot imaging sequences such as echo-planar imaging "BURST" (ie, frequency shift burst of radio-frequency pulses) or rapid spiral imaging (129132). We have recently been using a GRE spiral sequence that allows up to 18 sections to be recorded per second (133).

MR Spectroscopic Imaging
Proton MR spectra of the brain enable detection of resonances that are relevant in the evaluation of patients with cerebral ischemia: lactate at 1.33 parts per million (ppm) and N-acetylaspartate (NAA) at 2.02 ppm. Lactate is not present in sufficiently high concentrations to measure in the brain under normal conditions. NAA is normally present and is found only in neurons or axons in mature brain (134,135).

Numerous studies (136,139,141) of animal models have indicated the ability of proton MR spectroscopy to depict acute cerebral ischemia on the basis of increased levels of lactate. In a model of carotid artery occlusion (136138), it was found that lactate elevation occurred once the blood flow decreased below 20 mL/100 g per minute, similar to the threshold at which (in a number of species) electrical activity ceases (51,72,136138). In global ischemia (ie, cardiac arrest), the elevation of lactate is rapid (immediately detectable after the onset of ischemia) and reaches a plateau in approximately 10 minutes (59,139). Both the rate of production and final concentration are proportional to the preischemic blood glucose levels, typically reaching about 12 mM in normoglycemic animals (140). Lactate is also detected immediately after the onset of focal and/or incomplete ischemia (141143). Reperfusion after a short period of ischemia leads to restoration of normal metabolism with low levels of lactate, while longer periods of ischemia may lead to persistent lactic acidosis (144).

NAA decreases after the onset of either global or focal ischemia. In two different studies, there was a 10% decrease immediately after the induction of global ischemia, after which NAA decreased more slowly over a period of hours, with a 50% decrease by about 6 hours (142,145). Note that this has been observed both with MR spectroscopy and with conventional biochemical analysis (141). The decrease in NAA over a period of hours after the onset of ischemia is a critical finding. It appears to be one of the few MR parameters that changes over this period of time and offers the possibility of being able to stage the stroke progression over the critical first few hours. Since lactate and NAA reductions have been shown to correlate with loss of neurons and neuronal function in animal models, it is also tempting (but currently unproved) to speculate that the NAA level may be related to the surviving neuronal population within the ischemic lesion (146,147).

Generally, there is a consensus that elevated lactate levels are observed in the acute stage of human stroke, which can be used to delineate ischemic tissue. After the initial increase in the acute stage, there is usually a slow decline (148,149). However, lactate may remain elevated for extended periods of time (days to weeks), either because of ongoing anaerobic glycolysis, the inability to remove or metabolize lactate after it has been produced, or possibly from the glycolytic metabolism of macrophages in the late subacute or early chronic stages of stroke (150,151).

As discussed above, NAA seems to decrease slowly over a period of hours after stroke onset; by the time tissue has completely infarcted, NAA is either dramatically reduced or completely absent. It is postulated that in acute stroke, tissue that has high lactate, no conventional MR imaging abnormalities, and normal or only slightly reduced NAA levels in the first few hours after stroke onset may represent ischemic tissue at risk of infarction (152,153). This tissue could represent the "penumbra" (Fig 10). We hypothesize that identification of such regions may, in the future, be one of the criteria for initiating thrombolytic therapy (12).



View larger version (44K):
[in this window]
[in a new window]
 
Figure 10a. Dense left-sided hemiparesis, severe dysarthria, and a central seventh nerve palsy in a 56-year-old man. Conventional T2-weighted MR image obtained 24 hours after ictus (image labeled T2 in b) demonstrated no areas of hyperintensity. MR angiogram (not shown) demonstrated an occlusion or high-grade stenosis of the right MCA. Multisection two-dimensional proton spectroscopic axial images (2,300/272, 15-mm section thickness, 32 x 32 matrix) (not shown) were also obtained at this time. Cho = choline, Cr = creatine and phosphocreatine, Lac = lactate, PPM = parts per million. (a) Spectra obtained from four regions in the brain show areas of NAA and lactate abnormality on the right (zones labeled 1 and 2). Conversely, the spectra obtained from the left cerebral hemisphere (zones labeled 3 and 4) are normal. Note the absence of a lactate peak in the left hemisphere. (b) Metabolite axial MR images (2,300/272, 15-mm section thickness, 32 x 32 matrix) demonstrate an area of NAA decrease (straight arrow) with surrounding lactate elevation (curved arrow). In the area of NAA decrease and highest lactate levels, there was progression to infarction. This appearance corresponds to the theoretic model of the penumbra.

 


View larger version (54K):
[in this window]
[in a new window]
 
Figure 10b. Dense left-sided hemiparesis, severe dysarthria, and a central seventh nerve palsy in a 56-year-old man. Conventional T2-weighted MR image obtained 24 hours after ictus (image labeled T2 in b) demonstrated no areas of hyperintensity. MR angiogram (not shown) demonstrated an occlusion or high-grade stenosis of the right MCA. Multisection two-dimensional proton spectroscopic axial images (2,300/272, 15-mm section thickness, 32 x 32 matrix) (not shown) were also obtained at this time. Cho = choline, Cr = creatine and phosphocreatine, Lac = lactate, PPM = parts per million. (a) Spectra obtained from four regions in the brain show areas of NAA and lactate abnormality on the right (zones labeled 1 and 2). Conversely, the spectra obtained from the left cerebral hemisphere (zones labeled 3 and 4) are normal. Note the absence of a lactate peak in the left hemisphere. (b) Metabolite axial MR images (2,300/272, 15-mm section thickness, 32 x 32 matrix) demonstrate an area of NAA decrease (straight arrow) with surrounding lactate elevation (curved arrow). In the area of NAA decrease and highest lactate levels, there was progression to infarction. This appearance corresponds to the theoretic model of the penumbra.

 
Stroke progression is related not only to residual blood flow but also to the duration of decreased blood flow (51, 154,155). A limitation in the evaluation of patients with acute stroke is that during the acute stages of stroke, most MR imaging parameters do not appear to change. Specifically, conventional T2-weighted images do not show changes until fairly late after stroke onset. Moreover, perfusion deficits and decreased diffusion, although immediately detectable, may remain static for a considerable period of time. For example, a decreased ADC gives no indication of the duration of ischemia. Conversely, rates of NAA loss and lactate increase appear to be blood flow dependent (154). Therefore, a metabolic-based measure of stroke progression may be more useful than either isolated measures of time after onset or cerebral blood flow in characterizing the ischemic state.

The earliest studies of human stroke used single-voxel methodologies, such as spatially resolved spectroscopy (SPARS) or stimulated echo acquisition mode (STEAM) (156,157). A major drawback of single-voxel and one-dimensional MR spectroscopic imaging methodologies, however, is that they provide no (or little) information regarding the spatial extent or heterogeneity of the abnormalities, and also require prior knowledge of the stroke location for correct voxel placement. Therefore, two- or three-dimensional MR spectroscopic imaging methods that map metabolite levels over wider regions of the brain are required. Because of the good efficiency of the spectroscopic imaging data acquisition, multidimensional MR spectroscopic imaging data can be obtained with higher spatial resolution than single voxel studies. Early attempts used single-section two-dimensional MR spectroscopic imaging, and more recently we have used a multisection two-dimensional MR spectroscopic imaging method (158160). This technique allows complete mapping of supratentorial metabolite levels in a 30-minute imaging time, with a nominal spatial resolution of less than 1 cm3.

It is clear that spectroscopy provides unique and relevant information to the characterization of acute cerebral ischemia, potentially demarcating the penumbra. However, it is important to recognize the limited spatial resolution of the MR spectroscopic imaging data sets (approximately 1 cm3), and appreciate that intervoxel signal contamination can occur between adjacent voxels (160). Therefore, a voxel of normal brain that lies immediately adjacent to a lactate-containing infarct could easily be mistaken as "tissue at risk," since it will have a normal MR imaging appearance but may appear to contain some lactate signal that actually originates from the adjacent voxel. The spatial resolution is largely signal-to-noise ratio limited, and it does not appear likely to be greatly improved in the near future; clearly, proton MR spectroscopic imaging will not enable detection of lacunar or small infarcts (<1 cm3). The higher spatial resolution of diffusion and perfusion MR imaging is definitely an advantage is this regard. Further, the implementation of MR spectroscopic imaging is hampered by the limited coverage, and lengthy imaging times (approximately 30 minutes). Whole-brain multisection MR spectroscopic imaging may be possible in the future if enough sections can be interleaved into a single repetition time period. Imaging time reductions are definitely feasible and have already been demonstrated by using either multiecho sequences analogous to fast SE or rapid acquisition with relaxation enhancement (or RARE) sequences or by using proton echo-planar spectroscopic imaging (or PEPSI) (161163). These fast methods of spatial encoding allow imaging times to be reduced from 30 minutes to under 10 minutes without sacrificing too much sensitivity or resolution. For instance, excellent-quality spectroscopic images were recently demonstrated by using the proton echo-planar spectroscopic imaging sequence with an 8-minute imaging time (163).

OPTIMAL MR IMAGING EVALUATION OF CEREBRAL ISCHEMIA

A comprehensive evaluation of cerebral ischemia is possible with advanced MR techniques. Diffusion techniques provide early delineation of the extent of tissue that is likely to proceed to infarction. Perfusion and spectroscopy aid in delineating the area at risk of infarction, and MR angiography can help determine if there is a thrombus amenable to lysis. GRE sequences enable exclusion of intraparenchymal hemorrhage. Although it can be agreed on that a T2-weighted sequence should be obtained, opinions vary as to whether this should be done by using a FLAIR, fast SE, or conventional SE sequence; we currently use the conventional SE sequence.

This combination of examinations should enable optimal patient selection and minimization of risk of intervention. Further, in delineating the ischemic penumbra, it may also be possible to extend the therapeutic window beyond 3 hours. However, it is important to realize that despite the great promise of MR, only CT has proved beneficial in large-scale prospective trials (3,7). Demonstration of the potential advantages of MR will require further investigation including incorporation into prospective large-scale studies and further clinical validation of its ability to delineate the ischemic penumbra.

HORIZONS IN ADVANCED MR TECHNIQUES

Finally, MR imaging is an ever-expanding source of methodologies, and it is reasonable to expect that several new techniques will become available in the future. Some of these methods are now already being applied in functional MR imaging, such as blood-flow techniques based on arterial spin labeling and the so-called blood oxygen level dependent, or BOLD, approach based on hemoglobin-related magnetic susceptibility changes in and around the blood vessels (130,164171). Assuming intravascular origin of the blood oxygen level dependent SE effect, it was recently shown that the absolute T2 of blood in perfused tissue is directly related to the tissue oxygen extraction ratio, which is the ratio of oxygen consumption and oxygen delivery (172). Because initial stages of ischemia are characterized by reduced blood flow but maintained oxygen metabolism, one would expect a reduction in the oxygen extraction ratio as has been shown with PET. This should then lead to a reduction in T2, which was recently demonstrated to occur (173). This also explains the origin of T2* and T2 effects found in initial ischemia in animals in recent years (174176). However, this effect may reverse if oxygen metabolism becomes impaired, and care has to be taken in its interpretation. In addition, these effects are small (a few percentage points) and will not be obvious on T2-weighted images; thus, they have to be carefully measured by using absolute T2 approaches. These effects reduce even more when using multiple SE sequences. Preliminary results on another potentially important new approach were recently reported at a conference, namely, imaging of the so-called spin-lock relaxation rate T1r, which was able to separate reversible from irreversible ischemia in a rat model (173).

Lastly, there has recently been renewed interest in sodium imaging for stroke, which was successfully demonstrated in the clinical setting at 3 T (177). However, just as for phosphorus spectroscopy, this approach is hampered by limited clinical availability. In addition, sodium changes are expected to occur upon membrane depolarization, similar to the major part of the diffusion signal changes, and may be only an early indicator of irreversible damage.

SUMMARY

The state of the art for imaging acute cerebral ischemia has dramatically changed following the demonstration of efficacy of rt-PA. Neuroimaging now occupies a central role in patient care with prompt performance and interpretation of the initial CT study critical to successful intervention. It has been of proved benefit in guiding therapy in prospective clinical trials. Current limitations of CT in this role are a relative lack of sensitivity for the detection of early ischemia and low specificity in determining appropriateness for intervention with thrombolysis. MR imaging has tremendous potential to contribute to stroke management on the basis of a high sensitivity for detection of areas of infarction and the ability to evaluate large-vessel patency and perfusion characteristics. Continued investigation is needed to determine its ability to delineate the penumbra and to affect patient outcome.

Footnotes

Abbreviations: ADC = apparent diffusion coefficient CSF = cerebrospinal fluid ECASS = European Cooperative Acute Stroke Study FLAIR = fluid-attenuated inversion recovery GRE = gradient-recalled echo MCA = middle cerebral artery NAA = N-acetylaspartate NINDS = National Institute for Neurological Diseases and Stroke rt-PA = recombinant tissue plasminogen activator SE = spin echo

References

  1. Bryan RN. Imaging of acute stroke. Radiology 1990; 177:615-616.[Free Full Text]
  2. Goldstein M. Decade of the brain: National Institute of Neurological Disorders and Stroke (editorial). Neurosurgery 1993; 32:297.[Medline]
  3. National Institute of Neurological Disease and Stroke rt-PA Study Group. Tissue plasminogen activator for acute ischemic stroke. N Engl J Med 1995; 355:1581-1587.
  4. Sussman BJ, Fitch TS. Thrombolysis with fibrinolysis in cerebral arterial occlusion. JAMA 1958; 167:1705-1709.
  5. Wardlaw JM, Warlow CP. Thrombolysis in acute ischemic stroke: does it work?. Stroke 1992; 23:1826-1829.[Abstract/Free Full Text]
  6. Levy DE, Brott TG, Haley EC, et al. Factors related to intracranial hematoma formation in patients receiving tissue-type plasminogen activator for acute ischemic stroke. Stroke 1994; 25:291-297.[Abstract]
  7. Hacke W, Kaste M, Fieschi C, et al. for the ECASS Study Group. Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke: the European Cooperative Acute Stroke Study. JAMA 1995; 274:1017-1025.[Abstract/Free Full Text]
  8. Multicenter Acute Stroke Trial-Italy (MAST-I) Group. Randomized controlled trial of streptokinase, aspirin, and combination of both in treatment of acute ischemic stroke. Lancet 1995; 346:1509-1514.[Medline]
  9. The Multicenter Acute Stroke Trial-Europe Study Group. Thrombolytic therapy with streptokinase in acute ischemic stroke. N Engl J Med 1996; 335:145-150.[Abstract/Free Full Text]
  10. Donnan GA, Davis SM, Chambers B, et al. Streptokinase for acute ischemic stroke with relationship to time of administration. JAMA 1996; 276:961-966.[Abstract/Free Full Text]
  11. International Stroke Trial Pilot Study Collaborative Group. Study design of the international stroke trial (IST), baseline data and outcome in 984 randomized patients in the pilot study. J Neurol Neurosurg Psychiatry 1996; 60:371-376.[Abstract/Free Full Text]
  12. Beauchamp NJ, Bryan RN. Acute cerebral ischemia: a pathophysiologic review and radiologic perspective. AJR 1998; 171:73-84.[Free Full Text]
  13. Culebras A, Kase CS, Masdeu JC. Practice guidelines for the use of imaging in transient ischemic attacks and acute stroke: a report of the Stroke Council, American Heart Association. Stroke 1997; 28:1480-1497.[Free Full Text]
  14. Macknight ADC, Leaf A. Regulation of cellular volume. Physiol Rev 1977; 37:510-573.
  15. Baethmann A, Staub F. Cellular edema. In: Welch KMA, Caplan LR, Reis DJ, Siesjo BK, Weir B, eds. Primer on cerebrovascular diseases. San Diego, Calif: Academic Press, 1997; 153-156.
  16. Klatzo I. Neuropathological aspects of brain edema. J Neuropathol Exp Neurol 1967; 26:1-14.[Medline]
  17. Truwit CL, Barkovich AJ, Gean-Martin A, Hibrin N, Norman D. Loss of the insular ribbon: another sign of CT infarction. Radiology 1990; 176:801-806.[Abstract/Free Full Text]
  18. Tomura N, Uemura K, Inugami A, Fujita H, Higano S, Shishida F. Early CT finding in cerebral infarction: obscuration of the lentiform nucleus. Radiology 1988; 168:463-467.[Abstract/Free Full Text]
  19. Bryan RN, Levy LM, Whitlow WD, Killian JM, Preziosi TJ, Rosario JA. Diagnosis of acute cerebral infarction: comparison of CT and MR imaging. AJNR 1991; 12:611-620.[Abstract]
  20. von Kummer R, Meyding-Lamade U, Forsting M, et al. Sensitivity and prognostic value of early CT in occlusion of the middle cerebral artery trunk. AJNR 1994; 15:9-15.[Abstract]
  21. Leys D, Pruvo JP, Godefroy O, Rondepierre P, Leclerc X. Prevalence and significance of hyperdense middle cerebral artery in acute stroke. Stroke 1992; 23:317-324.[Abstract/Free Full Text]
  22. New PFJ, Aronow S. Attenuation measurements of whole blood and blood fractions in computed tomography. Radiology 1976; 121:635-640.[Abstract]
  23. Arimitsu I, DiChiro G, Brooks RA, Smith PB. White-gray matter differentiation in computed tomography. J Comput Assist Tomogr 1977; 1:437-442.[Medline]
  24. Wing SD, Norman D, Polock JA, Newton TH. Contrast enhancement of cerebral infarcts in computed tomography. Radiology 1976; 121:89-92.[Abstract]
  25. Becker H, Desch H, Hacker H, Pencz A. CT fogging effect with ischemic cerebral infarcts. Neuroradiology 1979; 18:185-192.[Medline]
  26. Kendall BE, Pullicino P. Intravascular contrast injection in ischaemic lesions. II. Effect on prognosis. Neuroradiology 1980; 19:241-243.[Medline]
  27. Kuroiwa T, Sedia M, Tomida S, Hiratsuka H, Okeda R, Inaba Y. Discrepanceis among CT, histological, and blood-brain barrier findings in early cerebral ischemia. J Neurosurg 1986; 65:199-202.[Medline]
  28. Riggs JE. Tissue plasminogen activator should not be used in acute ischemic stroke. Arch Neurol 1996; 53:1306-1308.[Abstract/Free Full Text]
  29. von Kummer R, Holle R, Gryska U, et al. Interobserver agreement in assessing early CT signs of middle cerebral artery infarction. AJNR 1995; 17:1743-1748.[Abstract]
  30. Inoue Y, Takemoto K, Miyamoto T, et al. Sequential computed tomography scans in acute cerebral infarct. Radiology 1980; 135:655-662.[Abstract/Free Full Text]
  31. Castillo M. Prethrombolysis brain imaging: trends and controversies. AJNR 1997; 18:1830-1834.[Medline]
  32. Libman RB, Wirkowski E, Alvir J, Rao TH. Conditions that mimic stroke in the emergency department. Arch Neurol 1995; 52:1119-1122.[Abstract/Free Full Text]
  33. Fisher M, Pessin MS, Furian AJ. ECASS: lessons for future thrombolytic stroke trials. European Cooperative Acute Stroke Study (editorial). JAMA 1995; 274:1058-1059.[Abstract/Free Full Text]
  34. Elster AD, Moody DM. Early cerebral infarction: gadopentetate dimeglumine enhancement. Radiology 1990; 177:627-632.[Abstract/Free Full Text]
  35. Fellner C, Geissler A, Held P, Strotzer M, Treibel W, Fellner F. Signal, contrast and resolution in optimized PD- and T2-weighted turbo SE images of the knee. J Comput Assist Tomogr 1995; 19:96-105.[Medline]
  36. Fellner F, Fellner C, Held , Schmitt R. Comparison of spin-echo pulse sequences for imaging of the brain. AJNR 1997; 18:1617-1625.[Abstract]
  37. Atlas SW, Hackney DB, Yousem DM, Listerud J. Fast spin echo MR imaging: blinded comparison with conventional spin echo imaging for the detection of focal brain lesions (abstr) In: Book of abstracts: Society of Magnetic Resonance in Medicine 1991. Berkeley, Calif: Society of Magnetic Resonance in Medicine, 1991; 41.
  38. Prorok RJ. Signa applications guide Vol. 4. Milwaukee, Wis: GE Medical Systems, 1992; 30-35.
  39. Wehrli FW, McGowan JC. The basis of MR contrast. In: Atlas SW, eds. Magnetic resonance imaging of the brain and spine. 2nd ed. Philadelphia, Pa: Lippincott-Raven, 1996; 29-48.
  40. DeCoene B, Hajnal JV, Gatehouse P, et al. MR of the brain using fluid attenuated inversion-recovery (FLAIR) pulse sequence. AJNR 1992; 13:1555-1564.[Abstract]
  41. Hajnal JV, Bryant DJ, Kasuboski L, et al. Use of fluid attenuated inversion recovery (FLAIR) pulse sequences in MRI of the brain. J Comput Assist Tomogr 1992; 16:841-844.[Medline]
  42. Alexander JA, Sheppard S, Davis PC, Salverda P. Adult cerebrovascular disease: role of modified rapid fluid-attenuated inversion-recovery sequences. AJNR 1996; 17:1507-1513.[Abstract]
  43. Rydberg JN, Hammond CA, Grimm RC, et al. Initial clinical experience in MR imaging of the brain with a fast fluid-attenuated inversion-recovery pulse sequence. Radiology 1994; 193:173-180.[Abstract/Free Full Text]
  44. Post MJ. Fluid-attenuated inversion-recovery fast spin-echo MR: a clinically useful tool in the evaluation of neurologically symptomatic HIV-positive patients. AJNR 1997; 18:1611-1616.[Medline]
  45. Atlas SW, Mark AS, Grossman RI, Gomori JM. Intracranial hemorrhage: gradient-echo MR imaging at 1.5 T—comparison with spin-echo imaging and clinical applications. Radiology 1988; 168:803-807.[Abstract/Free Full Text]
  46. Hayman LA, McArdle CB, Taber KH. MR imaging of hyperacute intracranial hemorrhage in the cat. AJR 1989; 10:681-686.
  47. Weingarten K, Filippi C, Zimmerman RD, Deck MDF. Detection of hemorrhage in acute cerebral infarction: evaluation with spin-echo and gradient echo MRI. Clin Imaging 1994; 18:43-55.[Medline]
  48. Noguchi K, Ogawa T, Ingami A. Acute subarachnoid hemorrhage: MR imaging with fluid-attenuated inversion-recovery pulse sequences. Radiology 1995; 196:733-737.
  49. Noguchi K, Ogawa T, Seto H, et al. Subacute and chronic subarachnoid hemorrhage: diagnosis with fluid-attenuated inversion-recovery MR imaging. Radiology 1997; 203:257-262.[Abstract/Free Full Text]
  50. Astrup J, Siesjo B, Symon L. Thresholds in cerebral ischemia: the ischemic penumbra. Stroke 1981; 12:723-725.[Free Full Text]
  51. Hossmann KA. Viability thresholds and the penumbra of focal ischemia. Ann Neurol 1994; 36:557-565.[Medline]
  52. Castillo J, Davalos A, Noya M. Progression of ischaemic stroke and excitotoxic aminoacids. Lancet 1997; 349:79-83.[Medline]
  53. Koenig M, Klotz E, Luka B, Venderink DJ, Spittler JF, Heuser L. Perfusion CT of the brain: diagnostic approach for early detection of ischemic stroke. Radiology 1998; 209:85-93.[Abstract/Free Full Text]
  54. Frackowiak RSJ, Lenzi G, Jones T, Heather JD. Quantitative measurement of regional cerebral blood flow and oxygen metabolism in man using 15O and positron emission tomography: the theory, procedure and normal values. J Comput Assist Tomogr 1980; 4:727-736.[Medline]
  55. Carr HY, Purcell EM. Effects of diffusion on free precession in nuclear magnetic resonance experiments. Physiol Rev 1954; 94:630-638.
  56. Stejskal EO, Tanner JE. Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient. J Chem Phys 1965; 42:288-292.
  57. Le Bihan D, Breton E, Lallemand D. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 1986; 161:401-407.[Abstract/Free Full Text]
  58. Moseley ME, Cohen Y, Mintorovitch J, et al. Early detection of regional cerebral ischemia in cats: comparison of diffusion- and T2-weighted MRI and spectroscopy. Magn Reson Med 1990; 14:330-346.[Medline]
  59. Knight RA, Dereski MO, Helpern JA, Ordidge RJ, Chopp M. Magnetic resonance imaging assessment of evolving focal cerebral ischemia. Stroke 1994; 25:1252-1262.[Abstract]
  60. Decanniere C, Eleff S, Davis D, van Zijl PC. Correlation of rapid changes in the average water diffusion constant and the concentrations of lactate and ATP breakdown products during global ischemia in cat brain. Magn Reson Med 1995; 34:343-352.[Medline]
  61. Kohno K, Hoehn-Berlage M, Mies G, Back T, Hossman KA. Relationship between diffusion-weighted MR images, cerebral blood flow, and energy state in experimental brain infarction. Magn Reson Imaging 1995; 13:73-80.[Medline]
  62. van der Toorn A, Sykova E, Skobisova I, et al. Dynamic changes in brain water ADC and extracellular space parameters induced by cardiac arrest in neonatal rats (abstr) In: Proceedings of the Second Meeting of the Society of Magnetic Resonance. Berkeley, Calif: Society of Magnetic Resonance, 1994; 141.
  63. Davis D, Ulatowski J, Eleff S, et al. Rapid monitoring of changes in water diffusion coefficients during reversible ischemia in cat and rat brain. Magn Reson Med 1994; 31:454-460.[Medline]
  64. Benveniste H, Hedlund LW, Johnson GA. Mechanisms of detection of acute cerebral ischemia in rats by diffusion-weighted magnetic resonance microscopy. Stroke 1992; 23:746-754.[Abstract/Free Full Text]
  65. Norris DG, Niendorf TG, Leibfritz D. Healthy and infarcted brain tissue studies at short diffusion times: the origins of apparent restriction and the reduction in apparent diffusion constant. NMR Biomed 1994; 7:304-310.[Medline]
  66. Helpern JA, Ordidge RJ, Knight RA. The effect of cell membrane water permeability on the apparent diffusion coefficients of water (abstr) In: Book of abstracts: Society of Magnetic Resonance in Medicine 1992. Berkeley, Calif: Society of Magnetic Resonance in Medicine, 1992; 1201.
  67. Duong TQ, Ackerman JJH, Ying HS, Neil JJ. Evaluation of extra and intracellular apparent diffusion in normal and intracellular apparent diffusion in normal and globally ischemic rat brains via 19F NMR. Magn Reson Med 1998; 40:1-13.[Medline]
  68. van der Toorn A, Sykova' EDRM, Vorisek I, et al. Dynamic changes in water ADC, energy metabolism, extracellular space volume, and tortuosity in neonatal rat brain during global ischemia. Magn Reson Med 1996; 36:52-60.[Medline]
  69. van Gelderen P, de Vleeschouwer MHM, DesPres D, Pekar J, van Zijl PCM, Moonen CTW. Water diffusion and acute stroke. Magn Reson Med 1994; 31:154-163.[Medline]
  70. Moonen CTW, Pekar J, de Vleeschouwer MHM, van Gelderen P, van Zijl PCM, DesPres D. Restricted and anisotropic diffusion of water in healthy cat brain and in stroke studied by NMR diffusion imaging. Magn Reson Med 1991; 19:327-332.[Medline]
  71. Moseley ME, Cohen Y, Kucharczyk J, et al. Diffusion-weighted imaging of anisotropic water diffusion in the cat central nervous system. Radiology 1990; 176:439-446.[Abstract/Free Full Text]
  72. Busza AL, Allen KL, King MD, van BN, Williams SR, Gadian DG. Diffusion-weighted imaging studies of cerebral ischemia in gerbils: potential relevance to energy failure. Stroke 1992; 23:1602-1612.[Abstract/Free Full Text]
  73. Branston NM, Symon L, Crockard HA, Pasztor E. Relationship between cortical evoked potential and local cortical blood flow following acute middle cerebral artery occlusion in the baboon. Exp Neurol 1974; 45:195-208.[Medline]
  74. Pierpaoli C, Righini A, Linfante J, Tao-Cheng H, Alger J, Di Chiro G. Histopathological correlates of abnormal water diffusion in cerebral ischemia: diffusion-weighted MR imaging and light and electron microscopic study. Radiology 1993; 189:439-448.[Abstract/Free Full Text]
  75. Gyngell ML, Back T, Hoehn-Berlage M, Kohno K, Hossmann KA. Transient cell depolarization after permanent middle cerebral artery occlusion: an observation by diffusion-weighted MRI and localized 1H-MRS. Magn Reson Med 1994; 31:337-341.[Medline]
  76. Miyabe M, Mori S, van Zijl PCM, et al. Correlation of the average water diffusion constant with cerebral blood flow and ischemic damage after transient middle cerebral artery occlusion in cats. J Cereb Blood Flow Metab 1996; :881-891.
  77. Minematsu K, Li L, Fisher M, Sotak CH, Davis MA, Fiandaca MS. Diffusion-weighted magnetic resonance imaging: rapid and quantitative detection of focal brain ischemia. Neurology 1992; 42:235-240.[Abstract/Free Full Text]
  78. Hasegawa Y, Fisher M, Latour LL, Dardzinski BJ, Sotak CH. MRI diffusion mapping of reversible and irreversible ischemic injury in focal brain ischemia. Neurology 1994; 44:1484-1490.[Abstract/Free Full Text]
  79. Baird AE, Benfield A, Schlaug G, Siewert B, Lovblad KO, Edelman RR, et al. Enlargement of human cerebral ischemic lesion volumes measured by diffusion-weighted magnetic resonance imaging. Ann Neurol 1997; 41:581-589.[Medline]
  80. Beauchamp NJ, Ulug AM, Passe TJ, van Zijl PCM. MR diffusion imaging in stroke: review and controversies. RadioGraphics 1998; 18:1269-1283.[Abstract]
  81. van Zijl PCM, Davis D, Moonen CTW. Diffusion spectroscopy in living systems. In: Gillies RJ, eds. NMR in physiology and biomedicine. San Diego, Calif: Academic Press, 1994; 185-198.
  82. Warach S, Boska M, Welch KM. Pitfalls and potential of clinical diffusion-weighted MR imaging in acute stroke (editorial). Stroke 1997; 28:481-482.
  83. Welch KMA, Windham J, Knight RA, et al. A model to predict the histopathology of human stroke using diffusion and T2-weighted magnetic resonance imaging. Stroke 1995; 26:1983-1989.[Abstract/Free Full Text]
  84. Knight RA, Ordidge RJ, Helpern JA, Chopp M, Rodolosi LC, Peck D. Temporal evolution of ischemic damage in rat brain measured by proton nuclear magnetic resonance imaging. Stroke 1991; 22:802-808.[Abstract/Free Full Text]
  85. Lutsep HL, Albers GW, DeCrespigny A, Kamat GN, Marks MP, Moseley ME. Clinical utility of diffusion-weighted MRI in the assessment of ischemic stroke. Ann Neurol 1997; 41:574-580.[Medline]
  86. Schlaug G, Siewert B, Benfield A, Edelman RR, Warach S. Time course of the apparent diffusion coefficient (ADC) abnormality in human stroke. Neurology 1997; 49:113-119.[Abstract/Free Full Text]
  87. Koroshetz WJ, Gonzalez G. Diffusion-weighted MRI: an ECG for "brain attack"?. Ann Neurol 1997; 41:565-566.[Medline]
  88. Singer MB, Chong J, Lu D, Schonewille WJ, Turhim S, Atlas SW. Diffusion-weighted MRI in acute subcortical infarction. Stroke 1998; 29:133-136.[Abstract/Free Full Text]
  89. Lovblad KO, Baird AE, Schlaug G, et al. Ischemic lesion volumes in acute stroke by diffusion-weighted magnetic resonance imaging correlate with clinical outcome. Ann Neurol 1997; 42:164-170.[Medline]
  90. Warach S, Dashe JF, Edelman RR. Clinical outcome in ischemic stroke predicted by early diffusion-weighted and perfusion magnetic resonance imaging: a preliminary analysis. J Cereb Blood Flow Metab 1996; 16:53-59.[Medline]
  91. Warach S, Gaa J, Siewert B, Wielopolski P, Edelman RR. Acute human stroke studied by whole brain echo planar diffusion-weighted magnetic resonance imaging. Ann Neurol 1995; 37:231-241.[Medline]
  92. Sorenson AG, Buonanno FS, Gonzalez RG, et al. Hyperacute stroke: evaluation with combined multisection diffusion-weighted and hemodynamically weighted echo-planar MR imaging. Radiology 1996; :391-401.
  93. Soher BJ, Gillard JH, Bryan RN, Oppenheimer SM, Barker PB. MR perfusion imaging in acute middle cerebral artery stroke: comparison of blood volume and bolus arrival time. J Stroke Cerebrovasc Dis 1998; 7:17-23.[Medline]
  94. Toole JF. Cerebral Embolism In: Toole JF, ed. Cerebrovascular disorders. New York: Raven, 1990; 240-255.
  95. Wang PY, Beauchamp NJ, Ulug AM, Barker PB, van Zijl PCM. Diffusion negative MR in acute stroke (abstr) In: Proceedings of the Annual Meeting of the American Society of Neuroradiology. Philadelphia, Pa: American Society of Neuroradiology, 1997.
  96. Feinberg DA, Kiefer B, Johnson G. GRASE improves spatial resolution in single shot imaging. Magn Reson Med 1995; 33:529-533.[Medline]
  97. Haase A, Frahm J, Matthei D, Haenicke W, Merboldt KD. FLASH imaging: rapid NMR imaging using low flip-angle pulses. J Magn Reson 1986; 67:258-266.
  98. Ordidge RJ, JA, Qing ZX, Knight RA, Nagesh V. Correction of motional artifacts in diffusion-weighted MR images using navigator echoes. Magn Reson Imag 1994; 12:455-460.[Medline]
  99. Wimberger DM, Roberts TP, Barkovich AJ, Prayer LM, Moseley ME, Kucharczyk J. Identification of "premyelination" by diffusion-weighted MRI. J Comput Assist Tomogr 1995; 19:28-33.[Medline]
  100. Pierpaoli C, Choi B, Schiffmann R, Di Chiro G. Diffusion tensor MRI in Pelizaeus-Merzbacher disease (abstr) In: Proceedings of the Fifth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 1997; 664.
  101. Ulug AM, Beauchamp N, Bryan RN, van Zijl PCM. Absolute quantitation of diffusion constants in human stroke. Stroke 1997; 28:483-490.[Abstract/Free Full Text]
  102. Ulug AM, van Zijl PCM. Orientation-independent isotropic and anisotropic diffusion tensor imaging without tensor diagonalization. Magn Reson Imaging 1999; 9:804-813.
  103. Mori S, van Zijl PCM. Diffusion weighting by the trace of the diffusion tensor within a single scan. Magn Reson Med 1995; 33:41-52.[Medline]
  104. Chun T, Ulug AM, van Zijl PCM. Single-scan isotropic diffusion weighting on a clinical scanner (abstr) In: Proceedings of the Fifth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 1997; 1735.
  105. Beauchamp NJ, Jr, Ulug AM, Wang P, Chun T, Barker PB, van Zijl PCM. Single-shot diffusion-weighted trace imaging of acute stroke (abstr) In: Proceedings of the Annual Meeting of the American Society of Neuroradiology. Philadelphia, Pa: American Society of Neuroradiology, 1998; 345.
  106. Benfield A, Prasad PV, Edelman RR, Warach S. On the optimal ß-value for measuring lesion volumes in ischemic stroke using diffusion-weighted MR imaging (abstr) In: Proceedings of the Fourth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 1996; 1344.
  107. Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B 1994; 103:247-254.[Medline]
  108. Rosen BR, Belliveau JW, Vevea JM, Brady TJ. Perfusion imaging with NMR contrast agents. Magn Reson Med 1990; 14:249-265.[Medline]
  109. Villringer A, Rosen BR, Belliveau JW, et al. Dynamic imaging with lanthanide chelates in normal brain: contrast due to magnetic susceptibility effects. Magn Res Med 1988; 6:164-174.[Medline]
  110. Belliveau JW, Kennedy DN, McKinstry RC, et al. Functional mapping of the human visual cortex by magnetic resonance imaging. Science 1990; 254:716-721.
  111. Conturo TE, Barker PB, Mathews VP, Monsein LH, Bryan RN. MR imaging of cerebral perfusion by phase-angle reconstruction of bolus paramagnetic-induced proton frequency shifts. Magn Reson Med 1992; 27:375-390.[Medline]
  112. Hacklander T, Reichenbach JR, Hofer M, Modder U. Measurement of cerebral blood volume via the relaxing effect of low-dose gadopentetate dimeglumine during bolus transit. AJNR 1996; 17:821-830.[Abstract]
  113. Kuppusamy K, Lin W, Cizek GR, Haacke EM. In vivo regional cerebral blood volume: quantitative assessment with 3D T1-weighted pre- and post-contrast MR imaging. Radiology 1996; 201:106-112.[Abstract/Free Full Text]
  114. Bruening R, Kwong KK, Vevea MJ, et al. Echo-planar MR determination of relative cerebral blood volume in human brain tumors: TI versus T2 weighting. AJNR 1996; 17:831-840.[Abstract]
  115. Zierler KL. Equations for measuring blood flow by external monitoring of radioisotopes. Circ Res 1965; 16:309-321.[Abstract/Free Full Text]
  116. Weisskoff RM, Chesler D, Boxerman JL, Rosen BR. Pitfalls in MR measurements of tissue blood flow with intravenous tracers: which mean transit time?. Magn Reson Med 1993; 29:553-559.[Medline]
  117. Rempp KA, Brix G, Wenz F, Becker CR, Guckel F, Lorenz WJ. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology 1994; 193:637-641.[Abstract/Free Full Text]
  118. Aronen HJ, Glass J, Pardo FS, et al. Echo-planar MR cerebral blood volume mapping of gliomas: clinical utility. Acta Radiol 1995; 36:520-528.[Medline]
  119. Ostergaard L, Sorensen AG, Kwong KK, Weisskoff RM, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. II. Experimental comparison and preliminary results. Magn Reson Med 1996; 36:726-736.[Medline]
  120. Thompson HK, Starmer CF, Whalen RE, McIntosh HD. Indicator transit time considered as a gamma variate. Circ Res 1964; 14:502-514.[Free Full Text]
  121. Powers W. Cerebral hemodynamics in ischemic cerebrovascular disease. Ann Neurol 1991; 29:231-240.[Medline]
  122. Maeda M, Crosby DL, Magnotta VA, et al. Cerebral hemodynamics in patients with major cerebral artery occlusion or severe stenosis: evaluation with perfusion MR imaging (abstr) In: Proceedings of the Fourth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 1996; 594.
  123. Warach S, Li W, Ronthal M, Edelman RR. Acute cerebral ischemia: evaluation with dynamic contrast-enhanced MR imaging and MR angiography. Radiology 1992; 182:41-47.[Abstract/Free Full Text]
  124. Warach S, Dashe JF, Edelman RR. Clinical outcome in ischemic stroke predicted by early diffusion-weighted and perfusion magnetic resonance imaging: a preliminary analysis. J Cereb Blood Flow Metab 1996; 16:53-59.
  125. Sorensen AG, Koroshetz WJ, Buonanno FS, et al. Diffusion/perfusion mismatch in MRI of acute human stroke (abstr) In: Proceedings of the Fourth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 1996; 91.
  126. Lavy S, Melamed E, Portnoy Z. The effect of cerebral infarction on the regional cerebral blood flow of the contralateral hemisphere. Stroke 1975; 6:160-163.[Abstract/Free Full Text]
  127. Feeney DM, Baron JC. Diaschisis. Stroke 1986; 17:817-830.[Free Full Text]
  128. Baron JC, Frackowiak RSJ, Herholz K, et al. Use of PET methods for measurements of cerebral energy metabolism and hemodynamics in cerebrovascular disease. J Cereb Blood Flow Metab 1989; 9:723-742.[Medline]
  129. Edelman RR, Mattle HP, Atkinson DJ, et al. Cerebral blood flow: assessment with dynamic contrast-enhanced T2*-weighted MR imaging at 1.5 T. Radiology 1990; 176:211-220.[Abstract/Free Full Text]
  130. Duyn JH, van Gelderen P, Liu G, Moonen CTW. Fast volume scanning with frequency-shifted BURST MRI. Magn Reson Med 1993; 32:429-432.
  131. Edelman RR, Siewert B, Darby DG, et al. Qualitative mapping of cerebral blood flow and functional localization with echo-planar MR imaging and signal targeting with alternating radiofrequency. Radiology 1994; 192:513-520.[Abstract/Free Full Text]
  132. Duyn JH, van Gelderen P, Barker PB, Frank JA, Mattay VS, Moonen CTW. 3D bolus-tracking with frequency-shifted BURST MRI. J Comput Assist Tomogr 1994; 18:680-687.[Medline]
  133. Yang Y, Glover GH, van Gelderen P, et al. Fast 3D functional magnetic resonance imaging at 1.5 T with spiral acquisition. Magn Reson Med 1996; 36:620-626.[Medline]
  134. Duyn JH, Yang Y. Single-shot spiral magnetic resonance imaging with trapezoidal gradients. J Magn Reson 1997; 4:130-134.
  135. Birken DL, Oldendorf WH. N-acetyl-L-aspartate: a literature review of a compound prominent in 1H-NM spectroscopic studies of the brain. Neurosci Biobehav Rev 1989; 13:23-31.[Medline]
  136. Simmons ML, Frondoza CG, Coyle JT. Immunocytochemical localization of N-acetyl-aspartate with monoclonal antibodies. Neuroscience 1991; 45:37-45.[Medline]
  137. Gadian DG, Frackowiak RS, Crockard HA, et al. Acute cerebral ischaemia: concurrent changes in cerebral blood flow, energy metabolites, pH and lactate measured with hydrogen clearance and 31P and 1H nuclear magnetic resonance spectroscopy. I. Methodology. J Cereb Blood Flow Metab 1987; 7:199-206.[Medline]
  138. Crockard HA, Gadian DG, Frackowiak RS, et al. Acute cerebral ischaemia: concurrent changes in cerebral blood flow, energy metabolites, pH, and lactate measured with hydrogen clearance and 31P and 1H nuclear magnetic resonance spectroscopy. II. Changes during ischaemia. J Cereb Blood Flow Metab 1987; 7:394-402.
  139. Allen K, Busza AL, Crockard HA, et al. Acute cerebral ischaemia: concurrent changes in cerebral blood flow, energy metabolites, pH and lactate measured with hydrogen clearance and 31P and 1H nuclear magnetic resonance spectroscopy. III. Changes following ischaemia. J Cereb Blood Flow Metab 1988; 8:816-821.
  140. Petroff OA, Prichard JW, Ogino T, Shulman RG. Proton magnetic resonance spectroscopic studies of agonal carbohydrate metabolism in rabbit brain. Neurology 1988; 38:1569-1574.[Abstract/Free Full Text]
  141. Rehncrona S, Rosen I, Siesjo BK. Brain lactic acidosis and ischemic cell damage. I. Biochemistry and neurophysiology. J Cereb Blood Flow Metab 1981; 1:297-311.[Medline]
  142. Monsein LH, Mathews VP, Barker PB, et al. Irreversible regional cerebral ischemia: serial MR imaging and proton MR spectroscopy in nonhuman primate model. AJNR 1993; 14:963-970.[Abstract]
  143. Sager TN, Laursen H, Hansen AJ. Changes in N-acetyl-aspartate content during focal and global brain ischemia of the rat. J Cereb Blood Flow Metab 1995; 15:639-646.[Medline]
  144. Higuchi T, Fernandez EJ, Maudsley AA, Shimizu H, Weiner MW, Weinstein PR. Mapping of lactate and N-acetyl-L-aspartate predicts infarction during acute focal ischemia: in vivo 1H magnetic resonance spectroscopy in rats. Neurosurgery 1996; 38:121-129.[Medline]
  145. Bizzi A, Righini A, Turner R, Le Bihan D, Bockhorst KH, Alger JR. Imaging focal reperfusion injury following global ischemia with diffusion-weighted magnetic resonance imaging and 1H-magnetic resonance spectroscopy. Magn Reson Imaging 1996; 14:581-592.[Medline]
  146. van Zijl PCM, Moonen CTW. In situ changes in purine nucleotide and N-acetyl concentrations upon inducing global ischemia in cat brain. Magn Reson Med 1993; 29:381-385.[Medline]
  147. Guimaraes A, Schwartz P, Prakash MR, et al. Quantitative in vivo 1H magnetic resonance spectroscopic imaging of neuronal loss in rat brain. Neuroscience 1995; 69:1095-1101.[Medline]
  148. Strauss I, Williamson JM, Bertram EH, Lothman EW, Fernandez EJ. Histological and 1H magnetic resonance spectroscopic imaging analysis of quinolinic acid-induced damage to the rat striatum. Magn Reson Med 1997; 37:24-33.[Medline]
  149. Graham GD, Blamire AM, Rothman DL, et al. Early temporal variation of cerebral metabolites after human stroke: a proton magnetic resonance spectroscopy study. Stroke 1993; 24:1891-1896.[Abstract/Free Full Text]
  150. Lanfermann H, Kugel H, Heindel W, Herholz K, Heiss WD, Lackner K. Metabolic changes in acute and subacute cerebral infarctions: findings at proton MR spectroscopic imaging. Radiology 1995; 196:203-210.[Abstract/Free Full Text]
  151. Siesjo BK. Lactic acidosis in the brain: occurrence, triggering mechanisms and pathophysiological importance In: Metabolic acidosis. London, England: Pitman, 1982; 77-100.
  152. Petroff OAC, Graham GD, Blamire AM, et al. Spectroscopic imaging of stroke in humans: histopathological correlates of spectral changes. Neurology 1992; 42:1349-1354.[Abstract/Free Full Text]
  153. Barker PB, Gillard JH, van Zijl PCM, et al. Acute stroke: evaluation with serial proton magnetic resonance spectroscopy. Radiology 1994; 192:723-732.[Abstract/Free Full Text]
  154. Gillard JH, Barker PB, van Zijl PCM, Bryan RN, Oppenheimer SM. Proton spectroscopic imaging in acute middle cerebral stroke. AJNR 1996; 17:873-886.[Abstract]
  155. Hakim AM. The cerebral ischemic penumbra. Can J Neurol Sci 1987; 14:557-559.[Medline]
  156. Hakim AM, Hogan MJ, Carpenter S. Time course of cerebral blood flow and histological outcome after focal cerebral ischemia in rat. Stroke 1992; 23:1138-1143.[Abstract/Free Full Text]
  157. Berkelbach van der Sprenkel JW, Luyten PR, van Rijen PC, Tulleken CA, den Hollander JA. Cerebral lactate detected by regional proton magnetic resonance spectroscopy in a patient with cerebral infarction. Stroke 1988; 19:1556-1560.[Abstract/Free Full Text]
  158. Bruhn H, Frahm J, Gyngell ML, Merboldt KD, Hanicke W, Sauter R. Cerebral metabolism in man after acute stroke: new observations using localized proton NMR spectroscopy. Magn Reson Med 1989; 9:126-131.[Medline]
  159. Hugg JW, Duijn JH, Matson GB, et al. Elevated lactate and alkalosis in chronic human brain infarction observed by 1H and 31P MR spectroscopic imaging. J Cereb Blood Flow Metab 1992; 12:734-744.[Medline]
  160. Duijn JH, Matson GB, Maudsley AA, Hugg JW, Weimer MW. Human brain infarction: proton MR spectroscopy. Radiology 1992; 183:711-718.[Abstract/Free Full Text]
  161. Duyn JH, Gillen J, Sobering G, van Zijl PCM, Moonen CTW. Multisection proton MR spectroscopic image of the brain. Radiology 1993; 188:277-282.[Abstract/Free Full Text]
  162. Duyn JH, Moonen CTW. Fast proton spectroscopic imaging of the human brain using multiple spin-echoes. Magn Reson Med 1994; 30:409-414.
  163. Posse S, Tedeschi G, Risinger R, Ogg R, Le Bihan D. High speed 1H spectroscopic imaging in human brain by echo planar spatial-spectral encoding. Magn Reson Med 1995; 33:34-40.[Medline]
  164. Posse S, Dager SR, Richards TL, et al. In vivo measurement of regional brain metabolic response to hyperventilation using magnetic resonance: proton echo planar spectroscopic imaging (PEPSI). Magn Reson Med 1997; 37:858-865.[Medline]
  165. Thulborn KR, Waterton JC, Matthews PM, Radda GK. Oxygenation dependence of the transverse relaxation time of water protons in whole blood at high field. Biochim Biophys Acta 1982; 714:265-270.[Medline]
  166. Ogawa S, Lee TM, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA 1990; 87:9868-9872.[Abstract/Free Full Text]
  167. Detre JA, Leigh JS, Williams DS, Koretsky AP. Perfusion imaging. Magn Reson Med 1992; 23:37-45.[Medline]
  168. Kwong KK, Belliveau JW, Chesler DA, et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc Natl Acad Sci USA 1992; 89:5675-5679.[Abstract/Free Full Text]
  169. Ogawa S, Lee TM, Barrere B. The sensitivity of magnetic resonance image signals of a rat brain to changes in the cerebral venous blood oxygenation. Magn Reson Med 1993; 29:205-210.[Medline]
  170. Kim SG. Quantification of relative cerebral blood flow change by flow-sensitive alternating inversion recovery (FAIR) technique: application to functional mapping. Magn Reson Med 1995; 34:293-301.[Medline]
  171. Schwarzbauer C, Morrissey SP, Haase A. Quantitative magnetic resonance imaging of perfusion using magnetic labeling of water proton spins within the detection slice. Magn Reson Med 1996; 35:540-546.[Medline]
  172. Ye FQ, Pekar JJ, Jezzard P, Duyn J, Frank JA, McLaughlin AC. Perfusion imaging of the human brain at 1.5T using a single-shot EPI tagging approach. Magn Reson Med 1996; 36:217-224.[Medline]
  173. van Zijl PCM, Eleff SM, Ulatowski JA, et al. Quantitative assessment of blood flow, blood volume and blood oxygenation effects in functional magnetic resonance imaging. Nat Med 1998; 4:159-167.[Medline]
  174. Gröhn OHJ, Lukkarinen JA, Oja JME, et al. Noninvasive detection of cerebral hypoperfusion and reversible ischemia from reductions in the magnetic resonance imaging relaxation time T2. J Cereb Blood Flow Metab 1998; 18:911-920.[Medline]
  175. de Crespigny AJ, Wendland MF, Deruguin N, Koziewska E, Moseley ME. Real time observation of transient focal ischemia and hyperemia in cat brain. Magn Reson Med 1992; 27:391-397.[Medline]
  176. van der Toorn A, Verheul HB, van der Sprenkel JW, Tulleken CA, Nicolay K. Changes in metabolites and tissue water status after focal ischemia in cat brain assessed with localized proton MR spectroscopy. Magn Reson Med 1994; 32:685-691.[Medline]
  177. Roussel SA, van Bruggen N, King MD, Gadian DG. Identification of collaterally perfused areas following focal cerebral ischemia in the rat by comparison of gradient echo and diffusion-weighted MRI. J Cereb Blood Flow Metab 1995; 15:578-586.[Medline]
  178. Boada FE, Shen GX, Chang SY, Thulborn KR. Spectrally weighted twisted projection imaging: reducing T2 signal attenuation effects in fast three-dimensional sodium imaging. Magn Reson Med 1997; 38:1022-1028.[Medline]



This article has been cited by other articles:


Home page
J Am Coll CardiolHome page
E. Doufekias, A. Z. Segal, and J. R. Kizer
Cardiogenic and aortogenic brain embolism.
J. Am. Coll. Cardiol., March 18, 2008; 51(11): 1049 - 1059.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
J. Hendrikse, E. T. Petersen, P. J. van Laar, and X. Golay
Cerebral Border Zones between Distal End Branches of Intracranial Arteries: MR Imaging
Radiology, December 13, 2007; (2007) 2461062100.
[Abstract] [Full Text]


Home page
RadioGraphicsHome page
A. Srinivasan, M. Goyal, F. A. Azri, and C. Lum
State-of-the-Art Imaging of Acute Stroke
RadioGraphics, October 1, 2006; 26(suppl_1): S75 - S95.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
P. Pinero, A. Gonzalez, A. Mayol, E. Martinez, J.R. Gonzalez-Marcos, F. Boza, A. Cayuela, and A. Gil-Peralta
Silent Ischemia after Neuroprotected Percutaneous Carotid Stenting: A Diffusion-Weighted MRI Study
AJNR Am. J. Neuroradiol., June 1, 2006; 27(6): 1338 - 1345.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
P. E. Chen, J. E. Simon, M. D. Hill, C.-H. Sohn, P. Dickhoff, W. F. Morrish, R. J. Sevick, and R. Frayne
Acute Ischemic Stroke: Accuracy of Diffusion-weighted MR Imaging--Effects of b Value and Cerebrospinal Fluid Suppression
Radiology, January 1, 2006; 238(1): 232 - 239.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
S. M. Kealey, T. Aho, D. Delong, D. P. Barboriak, J. M. Provenzale, and J. D. Eastwood
Assessment of Apparent Diffusion Coefficient in Normal and Degenerated Intervertebral Lumbar Disks: Initial Experience
Radiology, May 1, 2005; 235(2): 569 - 574.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
K. A. Busing, C. Schulte-Sasse, S. Fluchter, T. Suselbeck, K. K. Haase, W. Neff, J. G. Hirsch, M. Borggrefe, and C. Duber
Cerebral Infarction: Incidence and Risk Factors after Diagnostic and Interventional Cardiac Catheterization--Prospective Evaluation at Diffusion-weighted MR Imaging
Radiology, April 1, 2005; 235(1): 177 - 183.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
H. G. Roh, H. S. Byun, J. W. Ryoo, D. G. Na, W.-J. Moon, B. B. Lee, and D.-I. Kim
Prospective Analysis of Cerebral Infarction After Carotid Endarterectomy and Carotid Artery Stent Placement by Using Diffusion-Weighted Imaging
AJNR Am. J. Neuroradiol., February 1, 2005; 26(2): 376 - 384.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
R. C. Saenz
The Disappearing Basal Ganglia Sign
Radiology, January 1, 2005; 234(1): 242 - 243.
[Full Text] [PDF]


Home page
QJMHome page
J. Kwan, P. Hand, and P. Sandercock
Improving the efficiency of delivery of thrombolysis for acute stroke: a systematic review
QJM, May 1, 2004; 97(5): 273 - 279.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
T. Neumann-Haefelin, R. du Mesnil de Rochemont, J.B. Fiebach, A. Gass, C. Nolte, T. Kucinski, J. Rother, M. Siebler, O.C. Singer, K. Szabo, et al.
Effect of Incomplete (Spontaneous and Postthrombolytic) Recanalization After Middle Cerebral Artery Occlusion: A Magnetic Resonance Imaging Study
Stroke, January 1, 2004; 35(1): 109 - 114.
[Abstract] [Full Text] [PDF]


Home page
RadioGraphicsHome page
B. F. Tomandl, E. Klotz, R. Handschu, B. Stemper, F. Reinhardt, W. J. Huk, K.E. Eberhardt, and S. Fateh-Moghadam
Comprehensive Imaging of Ischemic Stroke with Multisection CT
RadioGraphics, May 1, 2003; 23(3): 565 - 592.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
M. K. Zarifi, L. G. Astrakas, T. Y. Poussaint, A. d. Plessis, D. Zurakowski, and A. A. Tzika
Prediction of Adverse Outcome with Cerebral Lactate Level and Apparent Diffusion Coefficient in Infants with Perinatal Asphyxia
Radiology, December 1, 2002; 225(3): 859 - 870.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
V. S. Caviness, N. Makris, E. Montinaro, N. T. Sahin, J. F. Bates, L. Schwamm, D. Caplan, and D. N. Kennedy
Anatomy of Stroke, Part I: An MRI-Based Topographic and Volumetric System of Analysis
Stroke, November 1, 2002; 33(11): 2549 - 2556.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
C. Christophe, C. Fonteyne, F. Ziereisen, F. Christiaens, P. Deltenre, V. De Maertelaer, and B. Dan
Value of MR Imaging of the Brain in Children with Hypoxic Coma
AJNR Am. J. Neuroradiol., April 1, 2002; 23(4): 716 - 723.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
H. J. Jaeger, K. D. Mathias, E. Hauth, R. Drescher, H. M. Gissler, S. Hennigs, and A. Christmann
Cerebral Ischemia Detected with Diffusion-Weighted MR Imaging after Stent Implantation in the Carotid Artery
AJNR Am. J. Neuroradiol., February 1, 2002; 23(2): 200 - 207.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
A. J. Barkovich, K. D. Westmark, H. S. Bedi, J. C. Partridge, D. M. Ferriero, and D. B. Vigneron
Proton Spectroscopy and Diffusion Imaging on the First Day of Life after Perinatal Asphyxia: Preliminary Report
AJNR Am. J. Neuroradiol., October 1, 2001; 22(9): 1786 - 1794.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
H. J. Jaeger, K. D. Mathias, R. Drescher, E. Hauth, G. Bockisch, E. Demirel, and H. Martin Gissler
Diffusion-weighted MR Imaging After Angioplasty or Angioplasty Plus Stenting of Arteries Supplying the Brain
AJNR Am. J. Neuroradiol., August 1, 2001; 22(7): 1251 - 1259.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Respir. Crit. Care Med.Home page
J. J. PROVENCIO, T. P. BLECK, and A. F. CONNORS Jr.
Critical Care Neurology
Am. J. Respir. Crit. Care Med., August 1, 2001; 164(3): 341 - 345.
[Full Text] [PDF]


Home page
RadiologyHome page
M. T. Keogan and R. R. Edelman
Technologic Advances in Abdominal MR Imaging
Radiology, August 1, 2001; 220(2): 310 - 320.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
K. Toyoda, M. Ida, and K. Fukuda
Fluid-attenuated Inversion Recovery Intraarterial Signal: An Early Sign of Hyperacute Cerebral Ischemia
AJNR Am. J. Neuroradiol., June 1, 2001; 22(6): 1021 - 1029.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
R. von Kummer, H. Bourquain, S. Bastianello, L. Bozzao, C. Manelfe, D. Meier, and W. Hacke
Early Prediction of Irreversible Brain Damage after Ischemic Stroke at CT
Radiology, April 1, 2001; 219(1): 95 - 100.
[Abstract] [Full Text]


Home page
StrokeHome page
S. Leistner, F. Boegner, P. Marx, and H.-C. Koennecke
Transtentorial Herniation After Unilateral Infarction of the Anterior Cerebral Artery
Stroke, March 1, 2001; 32(3): 649 - 651.
[Abstract] [Full Text] [PDF]


Home page
JAMAHome page
C. M. C. Tempany and B. J. McNeil
Advances in Biomedical Imaging
JAMA, February 7, 2001; 285(5): 562 - 567.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
C. J. M. Klijn, L. J. Kappelle, J. van der Grond, A. Algra, C. A. F. Tulleken, and J. van Gijn
Magnetic Resonance Techniques for the Identification of Patients With Symptomatic Carotid Artery Occlusion at High Risk of Cerebral Ischemic Events
Stroke, December 1, 2000; 31(12): 3001 - 3007.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
R. von Kummer, N. J. Beauchamp Jr, P. B. Barker, P. Y. Wang, and P. C. M. vanZijl
CT of Acute Cerebral Ischemia Dr Beauchamp and colleagues respond:
Radiology, August 1, 2000; 216(2): 611 - 613.
[Full Text]


Home page
Am. J. Neuroradiol.Home page
K. Kikuchi, H. Miki, and A. Nakagawa
The Utility of Diffusion-weighted Imaging with Navigator-echo Technique for the Diagnosis of Spinal Epidermoid Cysts
AJNR Am. J. Neuroradiol., June 1, 2000; 21(6): 1164 - 1166.
[Abstract] [Full Text]


Home page
StrokeHome page
T. Neumann-Haefelin, H.-J. Wittsack, G. R. Fink, F. Wenserski, T.-Q. Li, R. J. Seitz, M. Siebler, U. Modder, and H.-J. Freund
Diffusion- and Perfusion-Weighted MRI : Influence of Severe Carotid Artery Stenosis on the DWI/PWI Mismatch in Acute Stroke
Stroke, June 1, 2000; 31(6): 1311 - 1317.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
W. T. C. Yuh, T. Ueda, M. White, M. E. Schuster, and T. Taoka
The Need for Objective Assessment of the New Imaging Techniques and Understanding the Expanding Roles of Stroke Imaging
AJNR Am. J. Neuroradiol., November 1, 1999; 20(10): 1779 - 1784.
[Full Text]


Home page
RadiologyHome page
M. Qiao, K. L. Malisza, M. R. Del Bigio, and U. I. Tuor
Transient Hypoxia-Ischemia in Rats: Changes in Diffusion-Sensitive MR Imaging Findings, Extracellular Space, and Na +-K+-Adenosine Triphosphatase and Cytochrome Oxidase Activity
Radiology, April 1, 2002; 223(1): 65 - 75.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Beauchamp, N. J.
Right arrow Articles by vanZijl, P. C. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Beauchamp, N. J., Jr
Right arrow Articles by vanZijl, P. C. M.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
RADIOLOGY RADIOGRAPHICS RSNA JOURNALS ONLINE