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Published online before print October 19, 2005, 10.1148/radiol.2373041435
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(Radiology 2005;237:1020-1028.)
© RSNA, 2005


Neuroradiology

Initial Ischemic Event: Perfusion-weighted MR Imaging and Apparent Diffusion Coefficient for Stroke Evolution1

Rüdiger J. Seitz, MD, Stefanie Meisel, MD, Patrick Weller, MD, Ulrich Junghans, MD, Hans-Jörg Wittsack, PhD and Mario Siebler, MD

1 From the Department of Neurology (R.J.S., S.M., P.W., U.J., M.S.) and Institute of Diagnostic Radiology (H.J.W.), Heinrich-Heine University of Düsseldorf, Moorenstrasse 5, D-40225 Düsseldorf, Germany. Received August 19, 2004; revision requested October 28; revision received November 8; accepted February 1, 2005. Supported by SFB 194 (TP A13), Kompetenznetz-Schlaganfall (BMBF, TP B5, TP C4), the Brain Imaging Center West (BMBF, TP4), and the Biomedizinisches Forschungszentrum of the Heinrich-Heine-University Düsseldorf. Address correspondence to R.J.S. (e-mail: seitz{at}neurologie.uni-duesseldorf.de).


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
PURPOSE: To prospectively determine if the degree of acute perfusion or diffusion abnormalities measured prior to treatment onset help predict the evolution of brain infarction on magnetic resonance (MR) images.

MATERIALS AND METHODS: Local ethics committee approval and informed consent were obtained. On parametric maps obtained in 64 patients (mean age, 64 years ± 13 [standard deviation]; 37 men and 27 women) with acute middle cerebral artery infarction, lesion volumetry was performed to determine time to peak, mean transit time, cerebral blood volume, and apparent diffusion coefficient obtained within 3 hours of symptom onset. The infarct lesions were assessed on T2-weighted MR images obtained at follow-up on day 8. Cerebrovascular changes were determined on MR angiograms. Inferential and correlation statistics were used.

RESULTS: A perfusion delay of more than 6 seconds relative to the nonaffected hemisphere on time-to-peak maps helped to predict the lesion volume on T2-weighted images (r = 0.686, P < .001). In contrast, neither the volume nor the degree of the diffusion abnormality helped to predict the infarct volume (r < 0.46). This was because in one subgroup of patients there was an increase and in one subgroup there was a decrease in infarct volume on the T2-weighted images (P < .001). There was a greater prevalence (P < .02) of cerebral artery abnormalities in the patients with larger infarcts. Clinically, the neurologic impairment was more severe (P < .01) and the mean arterial pressure higher (P < .04) in these patients.

CONCLUSION: The results suggest that in acute stroke the severity of the initial ischemic event as determined on time-to-peak maps indicates hemodynamic compromise in addition to internal carotid artery or middle cerebral artery occlusion, because of abnormalities in other cerebral arteries.

© RSNA, 2005


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
Diagnostic classification and clinical prognosis are the most important challenges in acute stroke. Diagnosis of ischemic stroke has been improved by the use of magnetic resonance (MR) imaging, since perfusion- and diffusion-weighted MR imaging allow the delineation of the actual ischemic lesion with high sensitivity and specificity (17). In ischemic brain tissue, diffusion-weighted MR images depict decreased movements of water protons owing to cytotoxic edema, which results in a decrease in the apparent diffusion coefficient (ADC) of water and an increase in signal intensity. Perfusion-weighted MR imaging provides information on the momentary hemodynamic state of the brain tissue, since perfusion-weighted images reveal impaired tissue perfusion caused by arterial blood vessel obstruction. Therefore, perfusion-weighted imaging yields information about pathologically hypoperfused regions even before genuine structural brain tissue damage has taken place and in particular during the first few hours after stroke onset. In acute stroke, the area with reduced tissue perfusion (as indicated on perfusion-weighted MR images) is typically much larger than the lesion on diffusion-weighted MR images (810).

Nevertheless, it is difficult to make a prognosis based on these imaging findings since the "perfusion-diffusion mismatch" is not a stable phenomenon but rather is subject to a complicated time course of ischemic lesion evolution (9,11). This is owing to changes at both ends (ie, water diffusion and tissue perfusion). First, it has been shown that the ADC in the initial stage of ischemia continuously drops to reach its minimum value of about 50% between 24 and 48 hours after symptom onset. Thereafter, the ADC rises again and reaches values even higher than its normal value, and the lesions depicted on diffusion-weighted images also expand spatially after about 8 days (12,13). Perfusion-weighted images, by contrast, may depict a variety of temporal patterns depending on the time and degree of spontaneous or treatment-induced reperfusion of the tissue (9). Nevertheless, there is the notion that the perfusion-diffusion mismatch region may be a potential target for early reperfusion procedures, such as systemic thrombolysis with recombinant tissue plasminogen activator (rtPA) (1416), a combination of rtPA with platelet glycoprotein IIb/IIIa receptor antagonists (17,18), or emergency carotid endarterectomy (19,20).

Results of recent observations have shown that brain infarcts may become as large as predicted from the ischemic abnormalities on the initial MR images (7,21), or they may regress (5,21) or deteriorate despite recanalization (18,22). We hypothesized that there are patients in whom ischemic lesion size decreases subsequent to treatment onset, while there are others in whom lesion size increases. Thus, the purpose of our study was to prospectively determine if the degree of acute perfusion or diffusion abnormalities measured prior to treatment onset help to predict the evolution of brain infarction on MR images.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
The study was approved by the Ethics Committee of the Heinrich-Heine-University Düsseldorf. All patients or their relatives gave informed consent prior to treatment.

Subjects
Sixty-four consecutive patients (mean age, 64 years ± 13 [standard deviation]; age range, 27–91 years; 37 men and 27 women) experiencing a first stroke participated in this study. Inclusion criteria were as follows: (a) a first hemiparetic brain infarct in the middle cerebral artery territory, (b) acute stroke MR imaging protocol (described later) performed before treatment onset, with perfusion-weighted images that showed a lesion within the middle cerebral artery territory, and (c) follow-up T2-weighted MR imaging performed between day 6 and day 11 (mean, day 8), with images that showed only one brain lesion in the middle cerebral artery territory.

All patients underwent continuous long-term blood pressure monitoring for at least 24 hours and were administered medication according to their individual requirements. In all patients, C-reactive protein, blood glucose, fibrinogen, hematocrit, and platelet levels were assessed as part of our routine investigation. Five different subgroups of patients were identified according to the therapeutic regimen they underwent, as follows:

Acute carotid endarterectomy.—Ten patients (58 years ± 10; five men and five women) underwent emergency carotid endarterectomy, which is detailed elsewhere (20). The patients had acute stroke syndrome characterized by sudden onset of a profound hemiparesis, as assessed with the European Stroke Scale (23) (score: range, 34–96; median, 88), that was caused by occlusion of the contralateral internal carotid artery. These patients underwent surgery within 48 hours after symptom onset.

Thrombolysis.—Sixteen patients aged 71 years ± 14 (nine men and seven women) with severe neurologic impairment (European Stroke Scale score: range, 11–95; median, 31) underwent systemic thrombolysis, which was initiated in the stroke unit at our institution an average of 153 minutes (range, 100–210 minutes) after symptom onset. They were administered a body weight–adjusted dose of intravenous rtPA (Boehringer, Ingelheim, Germany) over 1 hour, with an initial bolus of 10% (2426). Within the following 24 hours, these patients received 10 000 IU unfractionated heparin (Roche, Basel, Switzerland) intravenously and 3 g magnesium (Verla-Pharm, Tutzing, Germany) in saline per 24 hours.

Thrombolysis with rtPA and tirofiban.—Thirteen patients aged 63 years ± 15 (six men and seven women) were treated with intravenous rtPA followed immediately with tirofiban (MSD, Haar, Germany) as detailed elsewhere (the rtPA and tirofiban group) (18). These patients also had severe neurologic impairment (European Stroke Scale score: range, 12–84; median, 35). These patients were first administered an intravenous bolus of 20 mg rtPA, which was delivered 121 minutes (range, 60–270 minutes) after symptom onset; one patient was administered a bolus of 10 mg followed by a 1-hour infusion of an additional 40 mg rtPA. The rtPA treatment was followed with intravenous tirofiban. Tirofiban was administered according to a body weight–adjusted dose starting with a bolus of 0.4 (µg · kg–1)/min for 30 minutes, which was followed by the continuous infusion of 0.1 (µg · kg–1)/min, along with 10 000 IU unfractionated heparin and 3 g magnesium in saline per 24 hours. The tirofiban treatment was continued for at least 24 hours. It should be noted that the action of tirofiban can be well controlled because of its short half-life in plasma, approximately 1.6 hours, and the small risk of fatal or symptomatic intracranial hemorrhage (17,18).

Prevention of microemboli with tirofiban.—Eleven patients aged 63 years ± 7 (eight men and three women) had recurring or progressive stroke syndrome related to microemboli detected at transcranial Doppler sonography and therefore underwent treatment with tirofiban for at least 24 hours (up to 104 hours). As described previously, tirofiban was administered by means of a body weight–adjusted dose starting with a bolus of 0.4 (µg · kg–1)/min for 30 minutes, which was followed by continuous infusion of 0.1 (µg · kg–1)/min (18). The neurologic deficit was profound in all patients (European Stroke Scale score: range, 58–72; median, 61).

Patients not eligible for thrombolytic or surgical stroke therapy.—Fourteen patients aged 62 years ± 13 (nine men and five women) were moderately neurologically impaired (European Stroke Scale score: range, 39–99; median, 86). These patients had arrived at the hospital within 8 hours after stroke onset, but, because arrival was more than 3 hours after stroke onset or because of other medical contraindications, they were not eligible for systemic thrombolysis or acute carotid endarterectomy. These patients received a continuous infusion of 10 000 IU unfractionated heparin or high-dose heparin treatment because cardiac thromboembolism was suspected owing to atrial fibrillation and definite arrhythmia (n = 4); these patients also received 3 g magnesium in saline per 24 hours.

MR Imaging
The MR imaging protocol was part of our routine clinical protocol and was performed in patients as an initial investigation in the initial stage before any medical or surgical treatment. The protocol comprised the performance of T2- and diffusion-weighted sequences and an MR angiographic investigation and the acquisition of serial T2*-weighted image measurements, with 40 images obtained for the measurement of tissue perfusion (7,27). Imaging was performed by using a 1.5-T whole-body MR imager (Magnetom Vision; Siemens, Erlangen, Germany), and the total imaging time was approximately 20 minutes. All perfusion-, diffusion-, and T2-weighted MR imaging data were transferred to a workstation (Sparc II; Sun Microsystems, Santa Clara, Calif) with Windows NT (Microsoft, Redmond, Wash) and were analyzed offline by using computer programs that we have developed in-house (Stroketool; DIS-Digital Image Solutions, Cologne, Germany; available at www.digitalimagesolutions.de).

Perfusion-weighted MR imaging.—Perfusion-weighted imaging measurements were obtained by performing serial T2*-weighted single-shot echo-planar MR imaging sequences, with imaging of 12 sections 40 times every 2 seconds. The parameters were as follows: echo time, 54 msec; 12 sections with 5-mm section thickness; intersection gap, 1.5 mm; matrix, 128 x 128; field of view, 240 mm. At the time of the fourth imaging, a 15-mL bolus of gadopentetate dimeglumine (Magnevist; Schering, Berlin, Germany) was injected a rate of 5 mL/sec and was immediately followed with 15 mL of NaCl administered at the same rate. From the perfusion-weighted imaging data, time-to-peak (TTP) parameter maps were calculated as detailed previously (7). TTP here refers to the time between the start of imaging and the time at which the signal intensity reaches its minimum produced by the bolus of contrast agent administered at the T2*-weighted series of imaging.

By using the singular value decomposition algorithm described by Ostergaard et al (2830), we also calculated maps of the mean transit time (MTT), the regional cerebral blood flow (rCBF), and the regional cerebral blood volume (rCBV) by using the logarithmic relation c(t) {propto} –ln[S(t)/S0]/TE, where c(t) is the concentration of contrast agent at time t, S(t) is the signal intensity at time t, S0 is the precontrast signal intensity, and TE is the echo time. The arterial input functions needed for the calculation based on the singular value decomposition algorithm to determine rCBF, MTT, and rCBV were defined interactively by selecting 5 pixels in the supraclinoidal portion of the internal carotid artery in the nonaffected hemisphere. The time course of this mean signal intensity was used as an arterial input function for the deconvolution of the tissue signal intensity–time curves, as suggested previously (29). To minimize interindividual variations, image intensity in supraventricular white matter in the nonaffected hemisphere was set to 22 mL/100 g/min (30,31). For this purpose, regions of interest on image sections through the basal ganglia and thalamus (38 mL) and dorsal to the lateral ventricle (33 mL) were used to determine the mean rCBF in the contralesional hemisphere (ie, the nonaffected hemisphere contralateral to the infarct) (S.M. and P.W., 10 and 3 years of experience in MR imaging, respectively).

Diffusion-weighted MR imaging.—Diffusion-weighted MR imaging was performed by using a single-shot echo-planar sequence with two b values, 0 and 1000 sec/mm2, in three dimensions in space—readout, phase-encoding, and section-selection directions—to result in four images per section. The imaging parameters were echo time, 100 msec; 20 transverse sections with 5-mm section thickness; intersection gap, 1.5 mm; matrix, 96 x 128; field of view, 240 mm; and imaging time, 26 seconds. Also, diffusion-weighted imaging maps were converted to quantitative maps of ADC according to the exponential relation S(b) = S(0) exp(–b · ADC), where S(b) is the signal intensity by using a diffusion weighting with the value b, and S(0) is the signal intensity with b = 0. To get the quantitative three-dimensional trace ADC image map, we calculated the average from the three ADC maps resulting from the images with diffusion weighting in the different directions in space: readout, section-selection, and phase-encoding directions.

T2-weighted MR imaging.—For T2-weighted imaging, we used a turbo gradient-echo spin-echo sequence, with 7040/115 (repetition time msec/echo time msec), echo train length of 69, 20 transverse sections obtained parallel to the base of the skull, section thickness of 5 mm, intersection gap of 1.5 mm, flip angle of 160°, field of view of 230 mm, matrix of 345 x 512, and imaging time of 1 minute 17 seconds.

MR angiography.—For MR angiography, we used a three-dimensional time-of-flight investigation with the following sequence parameters: 35/7.2; flip angle, 20°; 1.5-mm section thickness; matrix, 200 x 512; 108 sections acquired; field of view, 200 mm; total imaging time, 6 minutes 44 seconds. Data of the entire three-dimensional data set were computed to show six projections with a rotation angle of 180°, each in a lateral and a sagittal plane. The field of view included the distal and siphon parts of the internal carotid arteries, the distal parts of the vertebral arteries, the basilar artery, the circle of Willis, and the intracranial arteries up to the branches of their third portions.

Lesion Volumetry on Perfusion-weighted MR Images
Volumetric analysis of the ischemic brain tissue was performed on TTP, MTT, and rCBV maps from each patient independently by two of the investigators (S.M., P.W.) who were blinded to any treatment, clinical information, and timing of the MR imaging examinations. Mean voxel signal intensity determined by means of manually drawn regions of interest in the unaffected contralateral hemisphere excluding artifacts and ventricles (30–40 mL) served as a reference standard (7). The method of referring to the contralateral tissue minimized the variation among the individual patients. Three different parameters were chosen to assess the degree of ischemic perfusion impairment, as follows:

First, to delineate severe ischemia, we used the model-independent TTP maps and applied a time delay of 6 seconds after bolus arrival relative to the unaffected contralesional hemisphere. This threshold enabled prediction of the subsequent infarct lesion, as reported previously (7,27). Specifically, it was found that a delay of 4 seconds led to overestimation of the ischemic lesion volume, while a delay of 8 seconds or more depicted the ischemic lesion only partially. By referring to the nonaffected hemisphere, differences in bolus delay within the brain owing to individual cardiac output were treated as statistical fluctuations.

Second, we wanted to determine the entire portion of brain tissue with impaired perfusion. Therefore, we analyzed the MTT images. The MTT values, determined by means of regions of interest (30–40 mL) manually drawn in gray and white matter dorsal to the lateral ventricle in the nonaffected hemisphere, were in the range of 3–5 seconds in individual patients. To delineate the ischemic area on the affected image sections, we used a threshold of 5–7 seconds, which was 2 seconds longer than that of the reference. This step of 2 seconds equaled the temporal resolution of the dynamic MR data acquisition and, therefore, was the most sensitive measure of abnormal perfusion.

Third, the areas of maximal depression of perfusion in white and gray matter structures were identified best on the rCBV images. For volumetry, regions of interest drawn to cover gray and white matter dorsal to the lateral ventricle in the nonaffected hemisphere (30–40 mL) typically had a mean value of 3–4 mL/100 g. A threshold of 2 mL/100 g, which was below that of normal white matter, was used to indicate the maximal ischemia in both the cerebral cortex and the white matter on the affected image sections.

These automatically defined areas of impaired perfusion were superimposed onto the rCBF maps to measure the mean rCBF separately for the abnormal TTP, MTT, and rCBV areas across the image sections affected.

ADC Evaluation
On diffusion-weighted images (S.M., P.W.), a threshold of 20% above the signal intensity in the region of interest in the nonaffected hemisphere (30–40 mL) was used for delineating the lesion volume, as detailed previously (12). In addition, the mean ADC in lesions on diffusion-weighted images was determined. Also, the maximal ADC decrease was determined as follows: The individual voxels on each image section with the lowest ADC within the ischemic lesion were identified and were averaged over all affected images in each patient. To control for global variation of ADC among the patients, the percentage change of the lowest ADC (x10–3 mm2/sec) within the ischemic lesion was also calculated in comparison with the mean ADC (x10–3 mm2/sec) obtained from a region of interest in the nonaffected hemisphere (30–40 mL) in each patient.

For follow-up evaluation on day 8, lesions on the T2-weighted MR images were defined interactively in each patient by two independent observers (S.M. and P.W.) and were manually outlined. The lesions had an interobserver reliability of less than 7% (four of 64 patients).

MR Angiogram Analysis
The MR angiograms from the initial imaging protocol were analyzed independently by two investigators (R.J.S. and U.J., 7 and 5 years of experience in MR angiography, respectively) who were blinded to the patients and the treatment regimens. Evaluation comprised the distal parts of the internal carotid artery, the distal vertebral arteries, the basilar artery, and the anterior, middle, and posterior cerebral arteries in both cerebral hemispheres. Abnormalities were classified with respect to presence of occlusion or subtotal signal intensity loss in an artery, presence of circumscribed arterial stenosis, and reduced arterial flow signal intensity. Abnormalities were graded as follows: score of 0, no abnormality; score of 1, occlusion of the internal carotid or middle cerebral artery; score of 2, occlusion of the internal carotid and middle cerebral arteries; and score of 3, multiple abnormalities in at least three arteries in one or both cerebral hemispheres.

Statistical Analysis
Statistical analysis was performed (S.M., R.J.S.) by using statistical software (SPSS 10.1 for Windows; SPSS, Chicago, Ill). Two groups of patients were defined on the basis of enlargement (group 1) or shrinkage (group 2) of the infarct lesions on T2-weighted images on day 8 in comparison with the size of the acute ischemic lesions on diffusion-weighted images obtained before treatment onset. Explorative evaluation of the perfusion-weighted imaging and ADC data and the laboratory findings in patients was subsequently performed to determine possible predictors by using a two-tailed t test for independent samples and within group comparisons. Only group differences with P < .05 were considered significant. Also, prediction of the lesion size at T2-weighted imaging by using the diffusion- and perfusion-weighted imaging data was determined with use of correlation coefficients. Evaluation of the neurologic impairment, as assessed with the European Stroke Scale, among the patient groups was performed with the nonparametric Mann-Whitney test. Group comparison of the abnormalities in the cerebral arterial circulation was performed with the distribution-free Wilcoxon signed rank test. Interobserver errors of the T2-weighted imaging lesion data were calculated from mean square deviations and are given as percentages. Those percentages were averages over the individual square deviations relative to the corresponding mean values.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
Two Patient Groups
The different evolution of the ischemic lesions can be appreciated qualitatively in the two example patients shown in Figure 1. By means of formal testing, the amount of lesion increase in group 1 patients was significant (P < .001), as was the amount of lesion regression in the group 2 patients (P < .001). Notably, the lesions at T2-weighted imaging were larger in group 1 (the lesion volume increase group) than in group 2 (the lesion volume regression group). This difference was significant (P < .001). With respect to the type of stroke treatment performed, the results were balanced across both patient groups (Table 1). Also, the results were comparable across the two groups in regard to age and the normal values for the hematocrit, platelet count, C-reactive protein, fibrinogen, and blood glucose levels (Table 2). Moreover, the patient groups were comparable concerning a short stroke onset–to–MR imaging interval of 150–180 minutes (Table 3). However, the patients in group 1 had a higher mean arterial pressure than did those in group 2 during the first 24 hours after stroke onset as documented by means of continuous blood pressure recording (Table 2). This difference was significant (P < .04).



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Figure 1. Transverse perfusion-weighted (TTP) (serial T2*-weighted single-shot echo-planar), diffusion-weighted (DWI) (echo-planar), and T2-weighted (T2) (turbo gradient-echo spin-echo) imaging maps in representative patients from each group who were subjected to combined thrombolysis with 20 mg rtPA and tirofiban. Top row: Patient from group 2 (T2<DWI) had a left frontal ischemic lesion. Bottom row: Patient from group 1 (T2>DWI) had a right corticostriatal infarct. Note complete resolution of the ischemic lesion in the group 2 patient, who had a normal MR angiogram, and lesion growth in the group 1 patient, who had severe and widespread cerebrovascular abnormalities. Both patients exhibit a larger abnormality on perfusion-weighted images (left images) than on diffusion-weighted images (middle images). Note that the area of severely abnormal perfusion (TTP > 6 seconds: red area on left image) was far larger in the patient with a large lesion at T2-weighted imaging (right image) than in the patient with complete resolution of the ischemic lesion.

 

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TABLE 1. Treatment Regimens in Patients with Stroke

 

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TABLE 2. Clinical Characteristics in Patients with Stroke

 

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TABLE 3. Ischemic Lesion Measurements in Patients with Stroke

 
MR Angiographic Abnormalities
The MR angiograms in both patient groups revealed severe cerebrovascular changes affecting the internal carotid artery and/or the intracranial cerebral arteries in both hemispheres (Fig 2). However, 77% (24 of 31) of the patients in group 2 (regression group) had an occlusion of either the internal carotid artery or the middle cerebral artery (Fig 3). In contrast, 58% (19 of 33) of the patients in group 1 (increase group) had an occlusion of the internal carotid artery and of the ipsilateral middle cerebral artery or, in addition to these changes, clearly discernible stenoses of ipsilateral anterior or posterior cerebral arteries or of the contralateral cerebral arteries (Fig 3). In both groups, there were single patients with no abnormalities of the cerebral arteries (Fig 3). Results of statistical testing proved that cerebral artery abnormalities were significantly less severe (P < .02) in group 2 patients compared with group 1 patients. This suggested insufficient collateralization in the patients with lesion volume increase at T2-weighted imaging (group 1).



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Figure 2a. Transverse time-of-flight MR angiograms (35/7.2; flip angle, 20°) in three representative patients. (a) Occlusion of a branch (arrow) of the right middle cerebral artery in the presence of otherwise normal cerebral arteries. (b) Right middle cerebral artery occlusion and prominent stenoses of the right posterior cerebral artery and impaired signal intensity in the contralateral left anterior cerebral artery (arrows). (c) Severe vascular abnormalities with an nearly complete occlusion of the left internal carotid artery and impaired signal intensity in the left middle cerebral artery (arrows), in addition to widespread arterial stenoses in left anterior and posterior cerebral arteries.

 


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Figure 2b. Transverse time-of-flight MR angiograms (35/7.2; flip angle, 20°) in three representative patients. (a) Occlusion of a branch (arrow) of the right middle cerebral artery in the presence of otherwise normal cerebral arteries. (b) Right middle cerebral artery occlusion and prominent stenoses of the right posterior cerebral artery and impaired signal intensity in the contralateral left anterior cerebral artery (arrows). (c) Severe vascular abnormalities with an nearly complete occlusion of the left internal carotid artery and impaired signal intensity in the left middle cerebral artery (arrows), in addition to widespread arterial stenoses in left anterior and posterior cerebral arteries.

 


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Figure 2c. Transverse time-of-flight MR angiograms (35/7.2; flip angle, 20°) in three representative patients. (a) Occlusion of a branch (arrow) of the right middle cerebral artery in the presence of otherwise normal cerebral arteries. (b) Right middle cerebral artery occlusion and prominent stenoses of the right posterior cerebral artery and impaired signal intensity in the contralateral left anterior cerebral artery (arrows). (c) Severe vascular abnormalities with an nearly complete occlusion of the left internal carotid artery and impaired signal intensity in the left middle cerebral artery (arrows), in addition to widespread arterial stenoses in left anterior and posterior cerebral arteries.

 


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Figure 3. Graph of distribution of the abnormalities on MR angiograms (MRA) in the two patient groups (P < .02). The majority of patients in group 2 (T2<DWI) had vascular abnormalities affecting the internal carotid or middle cerebral artery (grade 1). In group 1 (T2>DWI), the majority of patients had vascular abnormalities affecting both the internal carotid artery and the ipsilateral middle cerebral artery (grade 2) or additional intracerebral arteries (grade 3). In both groups, there were few patients with no discernible abnormalities of the cerebral arteries (grade 0).

 
Lesion Volumetry
The volume of lesions on TTP maps at a threshold delay of 6 seconds (relative to the nonaffected hemisphere), which were obtained within 3 hours after symptom onset, correlated with the lesion volumes obtained at T2-weighted imaging on day 8 (Fig 4). In contrast, neither the lesion volume on the diffusion-weighted images nor the depressions of the ADC correlated with the resulting lesions on T2-weighted images (Fig 4). Subgroup analysis revealed that the lesions on TTP images correlated with the lesions on T2-weighted images in both group 1 and group 2 patients, while the lesions on diffusion-weighted images did not (r = 0.458). In group 2 only (regression group), the lesion volume on diffusion-weighted images correlated with the lesion volume on T2-weighted images (r = 0.851, P < .001). The rCBF in the lesions on TTP maps correlated neither with the lesion volume on the TTP maps nor with the ADC values (r < 0.3). Thus, the initial lesion volume on TTP maps was the best predictor of the volume of the resulting infarct lesion on T2-weighted images.



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Figure 4a. Scatterplots of prediction of lesion volumes at T2-weighted imaging on day 8 and the acute ischemic lesions recorded within 3 hours after symptom onset in group 1 ({bullet}) and group 2 ({circ}). (a) Correlation of ischemic lesion volumes on the TTP maps at a delay of 6 seconds (TTP6s-Lesion) relative to the nonaffected contralateral hemisphere and the lesion on T2-weighted images (T2-lesions) (r = 0.686, P < .001; regression formula: y = 0.6x + 23.77). (b) No correlation of the acute lesion volumes on diffusion-weighted images (DWI-Lesion) and the lesion volumes on T2-weighted images (T2-Lesion) (r = 0.458). (c) No correlation of the maximal ADC depression in the ischemic lesions and the lesion volumes on T2-weighted images (T2-Lesion) (r = 0.286).

 


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Figure 4b. Scatterplots of prediction of lesion volumes at T2-weighted imaging on day 8 and the acute ischemic lesions recorded within 3 hours after symptom onset in group 1 ({bullet}) and group 2 ({circ}). (a) Correlation of ischemic lesion volumes on the TTP maps at a delay of 6 seconds (TTP6s-Lesion) relative to the nonaffected contralateral hemisphere and the lesion on T2-weighted images (T2-lesions) (r = 0.686, P < .001; regression formula: y = 0.6x + 23.77). (b) No correlation of the acute lesion volumes on diffusion-weighted images (DWI-Lesion) and the lesion volumes on T2-weighted images (T2-Lesion) (r = 0.458). (c) No correlation of the maximal ADC depression in the ischemic lesions and the lesion volumes on T2-weighted images (T2-Lesion) (r = 0.286).

 


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Figure 4c. Scatterplots of prediction of lesion volumes at T2-weighted imaging on day 8 and the acute ischemic lesions recorded within 3 hours after symptom onset in group 1 ({bullet}) and group 2 ({circ}). (a) Correlation of ischemic lesion volumes on the TTP maps at a delay of 6 seconds (TTP6s-Lesion) relative to the nonaffected contralateral hemisphere and the lesion on T2-weighted images (T2-lesions) (r = 0.686, P < .001; regression formula: y = 0.6x + 23.77). (b) No correlation of the acute lesion volumes on diffusion-weighted images (DWI-Lesion) and the lesion volumes on T2-weighted images (T2-Lesion) (r = 0.458). (c) No correlation of the maximal ADC depression in the ischemic lesions and the lesion volumes on T2-weighted images (T2-Lesion) (r = 0.286).

 
Volumetric analysis of the perfusion-weighted MR images showed that the total ischemic areas as determined by means of lesions on the MTT maps were similar between the two groups (Fig 5). The lesions on MTT maps corresponded to a reduced rCBF of some 30 mL/100 g/min in either group (Table 3). This was a profound rCBF depression compared with the mean rCBF in the contralesional (nonaffected) hemisphere (58 mL/100 g/min ± 9). Likewise, the areas of maximal ischemia signified by a severely depressed rCBV and rCBF were also of similar magnitude (Fig 5, Table 3). The area of severe ischemia, which was delineated by a delay of 6 seconds on the TTP maps, was smaller than the lesions on MTT maps, particularly in the patients with lesion regression (group 2) (Fig 5). The difference between the lesion volume on MTT and TTP maps was significant (P < .02). Note, however, that the rCBF reduction in the lesions on TTP maps was comparable in both groups (Table 3). Figure 5 shows that the lesions were smaller on T2-weighted images than on TTP maps in group 2, which was a significant difference (P < .03). Moreover, the lesions were smaller on diffusion-weighted images than on MTT maps but were comparable among the two groups of patients (Fig 6, Table 3). In contrast, the lesions were larger on TTP maps than on diffusion-weighted images (P < .002) in group 1 patients only (Table 3). Also, the mean ADCs in the lesions and the maximal ADC decreases on diffusion-weighted images were comparable among the two patient groups (65% and 45% relative to the contralateral hemisphere, respectively) (Fig 6, Table 3).



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Figure 5. Graph of lesion volumes in group 1 (T2>DWI) and group 2 (T2<DWI) patients shows that lesion volumes on TTP maps were slightly smaller than those on MTT maps in group 1 (P < .02) and were even smaller in group 2 (P < .001). In fact, lesion volume on TTP maps differed between the two groups (P < .02). Note that lesions on T2-weighted images at day 8 (T2,d8) were smaller than those on TTP maps in patients with lesion regression on T2-weighted images (group 2) (P < .03).

 


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Figure 6. Graph of lesion volumes in group 1 (T2>DWI) and group 2 (T2<DWI) patients shows that the lesions were smaller on diffusion-weighted images (DWI) than on MTT maps in both patient groups but were not different between the groups. The ADC within the ischemic lesions relative to the contralesional hemisphere also did not differ between groups. The amount of lesion increase in group 1 was significant (P < .001), as was the amount of lesion regression in group 2 (P < .001). Note the group difference (P < .001) in lesions on T2-weighted images at day 8 (T2,d8).

 
Figure 7 compares the proportions of ischemic alteration in the acute ischemic lesions for the two patient groups. This graph allows comparison of the proportion of the severely depressed perfusion relative to the total ischemic area directly among the two patient groups. It shows that the relative portion of severe ischemia on the initial perfusion-weighted images (ie, TTP and rCBV) was smaller in group 2 patients than in group 1 patients. In fact, severe ischemia amounted to approximately 38% (36 of 94 mL) of the entire ischemic area as determined with the MTT maps in group 2, while severe ischemia (ie, TTP and rCBV) made up about 66% (67 of 101 mL) of the entire ischemic area (ie, MTT) in group 1. As expected, this was paralleled by a greater neurologic impairment in group 1 than in group 2 both in the initial stage and on follow-up images on day 8 (Table 2). For both time points this difference was significant (P < .01).



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Figure 7. Comparison of the different portions of ischemia in the acute ischemic lesions among the two patient groups. In group 2 (T2<DWI), the relative portion of severe ischemia (on TTP maps) was smaller than that in group 1 (T2>DWI). Thus, the relative portion of slight ischemia (on MTT maps) was far larger in the patients with lesion regression at T2-weighted imaging (group 2). Note that the total ischemic lesions were virtually identical between the two groups.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
The results of this study show that acute stroke may result in either growth or decline of the initial ischemic lesion. By using explorative statistics we aimed at identifying possible predictors. We found that the most important factor in determining stroke evolution in the first 3 hours after symptom onset is the volume of severe ischemia, which was assessed on TTP maps. In fact, a perfusion delay of 6 seconds relative to the nonaffected hemisphere on TTP maps acquired before the initiation of stroke treatment helped predict the lesion size on T2-weighted images on day 8 irrespective of the treatment regimen, which substantiates earlier findings from our laboratory (7,27).

In contrast, neither the volume of the pretreatment lesions on diffusion-weighted images nor the magnitude of the ADC changes in lesions on diffusion-weighted images were discriminating in the first 3 hours after stroke onset. This was an unexpected finding given the reported association between ADC changes and perfusion abnormalities (32). However, in the initial stage of ischemia, the lesions on diffusion-weighted images are inhomogeneous and differ from normal tissue in various ways, showing different dynamics of lesion evolution toward infarction (11). In the 6-hour period after stroke onset, even a small decrease in the ADC, in the range of a few percent, relative to the contralateral hemisphere was shown to accommodate infarct growth (21). In contrast, the comparable extent of the lesions on diffusion-weighted imagines and of the ADC depressions across the two patient groups in our study suggests that the 3-hour interval between stroke onset and MR imaging determined the manifestation of diffusion abnormalities in the ischemic brain lesions. Accordingly, diffusion-weighted imaging changes develop further in the presence of extensive ischemia, which probably requires a longer period of time than 3 hours.

As known from clinical and pathophysiologic studies, blood flow obstruction by means of vessel stenosis or thromboembolism impairs cerebral perfusion. Compared with other measures of cerebral perfusion, such as rCBF, MTT, or rCBV, TTP maps show the perfusion abnormality readily, since they are model-independent and can be calculated fast. Notably, the effect of the TTP lesion measurements for determining the acute neurologic deficit as well as of the infarct volume for determining the resulting neurologic deficit found in this study is also well in line with results of previous studies from our and from other laboratories (3335).

In this study, we were able to show that the initial ischemic event resulted in addition to acute middle or internal cerebral artery occlusion from widespread arterial changes, such as vessel stenosis or occlusion in multiple cerebral arteries at MR angiography. MR angiography has recently been established as a valid and sensitive tool to demonstrate pathologic findings in extra- and intracranial arteries in acute stroke (36,37). Our findings suggest that the acute macrovascular occlusion of the middle cerebral artery causing the acute neurologic stroke syndrome apparently induced a particularly devastating perfusion deficit when a compensatory redistribution of arterial blood along collateral vessels was impaired. This supports earlier findings determined with transcranial Doppler sonography (38), conventional angiography (39), and positron emission tomography (PET) measurements of oxygen extraction (40) that showed the importance of viable collateral vessels in the circle of Willis for a beneficial outcome after ischemia. Recently, the importance of viable collateral vessels was also shown for intraarterial thrombolysis (41).

Surprisingly, the normal values of hematocrit, platelet counts, fibrinogen, C-reactive protein, and blood glucose, which are well-recognized cerebrovascular risk indicators, did not separate the patient groups with larger infarctions from those with smaller infarctions. However, an elevated mean arterial pressure was found in the patients with lesion volume increase at T2-weighted imaging (group 1). Although our blood pressure recordings were performed after stroke and therefore were influenced by it, our observation supports high blood pressure as a risk factor for stroke and stroke outcome, although there is no linear relationship (42). Our findings of an excess of the area of severe hypoperfusion relative to the early lesion on diffusion-weighted images substantiates the concept of the perfusion-diffusion mismatch as a quantitative and reliable measure (10,27) with important pathophysiologic and therapeutic implications, as we will discuss.

Perfusion imaging is the method of choice for demonstrating ischemic brain tissue in the hyperacute stage of stroke (27,43). We used parametric maps of cerebral perfusion that were calculated from the dynamically recorded MR imaging data, as established by Ostergaard et al (28,29). The maps closely corresponded to rCBF measurements obtained with PET in healthy subjects (30) and allowed us to estimate a normal rCBF of 58 mL/100 g/min in the nonaffected hemisphere (44) and severely depressed rCBF values in the different portions of the acute ischemic lesions. We found that the central infarct portions with the maximal perfusion abnormality, which progress irreversibly to infarction (44,45), and the outer areas with only a slight perfusion abnormality were similar among the two patient groups. To determine the area of maximal perfusion impairment, we used parametric rCBV maps since they show a lack of perfusion affecting both gray and white matter to a similar degree. Conversely, the entire area of impaired perfusion was sensitively assessed on parametric MTT maps without difference between gray and white matter. A similar grading of the perfusion impairment can be obtained from the model-independent TTP maps by using different delays in comparison with the nonaffected hemisphere (7,27), but the estimates of this semiquantitative measure have no biologic scale.

However, the volume of severe ischemia determined at a TTP delay of some 6 seconds relative to the nonaffected hemisphere helped to predict the definite infarct lesion (7,27,44,46,47). The ischemic lesions at this threshold were different among the two groups. The rCBF in the TTP lesions corresponded to a severely depressed rCBF of 25 mL/100 g/min, which is in the range of normal white matter. At this degree of hypoperfusion, cortical neurons are known to release the excitatory glutamate as a critical step in the initiation of excitotoxicity (44,48). Thus, irrespective of the different treatment regimens in our patients, the TTP threshold of 6 seconds seemed to indicate the viability threshold of ischemic brain tissue (14,49,50). Our data are consistent with recent observations (43,51) of lesions of considerable size on T2-weighted images on day 8 in patients who were successfully treated with rtPA because of thromboembolic stroke. Thus, despite the clinical improvement, thrombolysis apparently cannot completely prevent the transition of ischemic tissue to necrosis. One may speculate that an additional application of antiglutamatergic or other neuroprotective drugs may enhance the amount of salvageable brain tissue threatened by ischemia.

Finally, the ischemic brain lesions in which smaller regions had TTP greater than 6 seconds induced a lesser acute neurologic deficit and a faster and better neurologic recovery than did ischemic brain lesions in which larger regions had TTP greater than 6 seconds. This corresponded to previous observations showing that larger middle cerebral artery infarctions induce a more severe neurologic deficit (33,35,52). However, even the patients with more severe ischemic lesions improved to a degree comparable to that of the patients with smaller ischemic lesions. It should be noted that recovery from hemiplegia and hemiparesis continues for at least 4–6 weeks after stroke (33).

Our findings are limited by the fact that this was an analysis of two relatively small patient groups subjected to different treatment regimens. Moreover, follow-up perfusion studies are expected to show whether the onset or rate of reperfusion may be different between the patients with lesion regression (group 2) and those with volume increase (group 1) at T2-weighted imaging. Finally, voxel-by-voxel coregistrations of the different MR images should be suited to show which portions of the ischemic lesions are actually salvaged from tissue necrosis.

In conclusion, our data showed that ischemic lesions with a large proportion of severe ischemia (TTP, >6 seconds) exhibited widespread MR angiographic abnormalities in several cerebral arteries, which resulted in hemodynamic compromise. Consequently, systemic thrombolysis may act on the ischemic area not only by resolving the thromboembolus that has obstructed the middle cerebral artery but also by improving blood circulation in the net of collateral vessels. This is probably why the combination of systemic thrombolysis with platelet receptor antagonists has been shown to be particularly effective in acute thromboembolic infarction of the middle cerebral artery (18,53). Thus, for future trials, a TTP of more than 6 seconds appears to be an easy-to-determine parametric surrogate marker for efficacy of acute stroke treatment.


    ACKNOWLEDGMENTS
 
The authors thank Erika Rädisch, MR technician, for expert technical assistance.


    FOOTNOTES
 

Abbreviations: ADC = apparent diffusion coefficient • MTT = mean transit time • rCBF = regional cerebral blood flow • rCBV = regional cerebral blood volume • rtPA = recombinant tissue plasminogen activator • TTP = time to peak

Authors stated no financial relationship to disclose.

Author contributions: Guarantors of integrity of entire study, R.J.S., H.J.W., M.S.; study concepts/study design or data acquisition or data analysis/interpretation, all authors; manuscript drafting or manuscript revision for important intellectual content, all authors; approval of final version of submitted manuscript, all authors; literature research, R.J.S., H.J.W., M.S.; clinical studies, R.J.S., U.J., M.S.; statistical analysis, S.M., R.J.S.; and manuscript editing, R.J.S., U.J., M.S.


    References
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 

  1. Rordorf G, Koroshetz WJ, Copen WA, et al. Regional ischemia and ischemic injury in patients with acute middle cerebral artery stroke as defined by early diffusion-weighted and perfusion-weighted MRI. Stroke 1998;29(5):939–943.[Abstract/Free Full Text]
  2. Sunshine JL, Tarr RW, Lanzieri CF, Landis DM, Selman WR, Lewin JS. Hyperacute stroke: ultrafast MR imaging to triage patients prior to therapy. Radiology 1999;212:325–332.[Abstract/Free Full Text]
  3. Butcher K, Parsons M, Baird T, et al. Perfusion thresholds in acute stroke thrombolysis. Stroke 2003;34:2159–2164.[Abstract/Free Full Text]
  4. Shih LC, Saver JL, Alger JR, et al. Perfusion-weighted magnetic resonance imaging thresholds identifying core, irreversibly infarcted tissue. Stroke 2003;34:1425–1430.[Abstract/Free Full Text]
  5. Fiehler J, Knudsen K, Kucinski T, et al. Predictors of apparent diffusion coefficient normalization in stroke patients. Stroke 2004;35:514–519.[Abstract/Free Full Text]
  6. Fiebach JB, Schellinger PD, Gass A, et al. Stroke magnetic resonance imaging is accurate in hyperacute intracerebral hemorrhage: a multicenter study on the validity of stroke imaging. Stroke 2004;35:502–506.[Abstract/Free Full Text]
  7. Wittsack HJ, Ritzl A, Fink GR, et al. MR imaging in acute stroke: diffusion-weighted and perfusion imaging parameters for predicting infarct size. Radiology 2002;222:397–403.[Abstract/Free Full Text]
  8. Baird AE, Benfield A, Schlaug G, et al. Enlargement of human cerebral ischemic lesion volume measured by diffusion-weighted magnetic resonance imaging. Ann Neurol 1997;41(5):581–589.[CrossRef][Medline]
  9. Schwamm LH, Koroshetz WJ, Sorensen AG, et al. Time course of lesion development in patients with acute stroke. Stroke 1998;29:2268–2276.[Abstract/Free Full Text]
  10. Coutts SB, Simon JE, Tomanek AI, et al. Reliability of assessing percentage of diffusion-perfusion mismatch. Stroke 2003;34:1681–1683.[Abstract/Free Full Text]
  11. Nagesh V, Welch KM, Windham JP, et al. Time course of ADCw changes in ischemic stroke: beyond the human eye! Stroke 1998;29:1778–1782.
  12. 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.[CrossRef][Medline]
  13. Beaulieu C, de Crespigny A, Tong DC, Moseley ME, Albers GW, Marks MP. Longitudinal magnetic resonance imaging study of perfusion and diffusion in stroke: evolution of lesion volume and correlation with clinical outcome. Ann Neurol 1999;46(4):568–578.[CrossRef][Medline]
  14. Kidwell CS, Saver JL, Mattiello J, et al. Thrombolytic reversal of acute human cerebral ischemic injury shown by diffusion/perfusion magnetic resonance imaging. Ann Neurol 2000;47(4):462–469.[CrossRef][Medline]
  15. Rother J, Schellinger PD, Gass A, et al. Effect of intravenous thrombolysis on MRI parameters and functional outcome in acute stroke <6 hours. Stroke 2002;33(10):2438–2445.[Abstract/Free Full Text]
  16. Chalela JA, Kang DW, Luby M, et al. Early magnetic resonance imaging findings in patients receiving tissue plasminogen activator predict outcome: insights into the pathophysiology of acute stroke in the thrombolysis era. Ann Neurol 2004;55:105–112.[CrossRef][Medline]
  17. The Abciximab in Ischemic Stroke Investigators. Abciximab in acute ischemic stroke: a randomized, double-blind, placebo-controlled, dose-escalation study. Stroke 2000;31:601–609.[Abstract/Free Full Text]
  18. Seitz RJ, Meisel S, Moll M, Wittsack HJ, Junghans U, Siebler M. The effect of combined thrombolysis with rtPA and tirofiban on ischemic brain lesions. Neurology 2004;62:2110–2112.[Abstract/Free Full Text]
  19. Eckstein HH, Ringleb P, Dorfler A, et al. The Carotid Surgery for Ischemic Stroke trial: a prospective observational study on carotid endarterectomy in the early period after ischemic stroke. J Vasc Surg 2002;36:997–1004.[CrossRef][Medline]
  20. Huber R, Muller BT, Seitz RJ, Siebler M, Modder U, Sandmann W. Carotid surgery in acute symptomatic patients. Eur J Vasc Endovasc Surg 2003;25:60–67.[CrossRef][Medline]
  21. Oppenheim C, Grandin C, Samson Y, et al. Is there an apparent diffusion coefficient threshold in predicting tissue viability in hyperacute stroke? Stroke 2001;32:2486–2491.
  22. Singer OC, Du Mesnil De Rochemont R, Foerch C, et al. Early functional recovery and the fate of the diffusion/perfusion mismatch in patients with proximal middle cerebral artery occlusion. Cerebrovasc Dis 2004;17:13–20.[CrossRef][Medline]
  23. Hantson L, De Weerdt W, De Keyser J, et al. The European Stroke Scale. Stroke 1994;25:2215–2219.[Abstract]
  24. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. Tissue plasminogen activator for acute ischemic stroke. N Engl J Med 1995;333:1581–1587.[Abstract/Free Full Text]
  25. Fiorelli M, Bastianello S, von Kummer R, et al. Hemorrhagic transformation within 36 hours of a cerebral infarct: relationships with early clinical deterioration and 3-month outcome in the European Cooperative Acute Stroke Study I (ECASS I) cohort. Stroke 1999;30:2280–2284.[Abstract/Free Full Text]
  26. Hacke W, Kaste M, Fieschi C, et al. Randomised double-blind placebo-controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II). Lancet 1998;352:1245–1251.[CrossRef][Medline]
  27. Neumann-Haefelin T, Wittsack HJ, Wenserski F, et al. Diffusion- and perfusion-weighted MRI: the DWI/PWI mismatch region in acute stroke. Stroke 1999;30:1591–1597.[Abstract/Free Full Text]
  28. 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(5):726–736.[Medline]
  29. Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. I. Mathematical approach and statistical analysis. Magn Reson Med 1996;36(5):715–725.[Medline]
  30. Ostergaard L, Johannsen P, Host-Poulsen P, et al. Cerebral blood flow measurements by magnetic resonance imaging bolus tracking: comparison with [(15)O]H2O positron emission tomography in humans. J Cereb Blood Flow Metab 1998;18:935–940.[CrossRef][Medline]
  31. Seitz RJ, Roland PE. Variability of the regional cerebral blood flow pattern studied with [11C]-fluoromethane and position emission tomography (PET). Comput Med Imaging Graph 1992;16:311–322.[CrossRef][Medline]
  32. Fiehler J, Knab R, Reichenbach JR, Fitzek C, Weiller C, Rother J. Apparent diffusion coefficient decreases and magnetic resonance imaging perfusion parameters are associated in ischemic tissue of acute stroke patients. J Cereb Blood Flow Metab 2001;21(5):577–584.[Medline]
  33. Binkofski F, Seitz RJ, Arnold S, Classen J, Benecke R, Freund HJ. Thalamic metabolism and corticospinal tract integrity determine motor recovery in stroke. Ann Neurol 1996;39(4):460–470.[CrossRef][Medline]
  34. Tong DC, Yenari MA, Albers GW, O'Brien M, Marks MP, Moseley ME. Correlation of perfusion- and diffusion-weighted MRI with NIHSS score in acute (<6.5 hour) ischemic stroke. Neurology 1998;50:864–870.[Abstract/Free Full Text]
  35. Schlaug G, Benfield A, Baird AE, et al. The ischemic penumbra: operationally defined by diffusion and perfusion MRI. Neurology 1999;53(7):1528–1537.[Abstract/Free Full Text]
  36. Staroselskaya IA, Chaves C, Silver B, et al. Relationship between magnetic resonance arterial patency and perfusion-diffusion mismatch in acute ischemic stroke and its potential clinical use. Arch Neurol 2001;58:1069–1074.[Abstract/Free Full Text]
  37. Derex L, Nighoghossian N, Hermier M, Adeleine P, Froment JC, Trouillas P. Early detection of cerebral arterial occlusion on magnetic resonance angiography: predictive value of the baseline NIHSS score and impact on neurological outcome. Cerebrovasc Dis 2002;13:225–229.[Medline]
  38. van Everdingen KJ, Visser GH, Klijn CJ, Kappelle LJ, van der Grond J. Role of collateral flow on cerebral hemodynamics in patients with unilateral internal carotid artery occlusion. Ann Neurol 1998;44:167–176.[CrossRef][Medline]
  39. Mull M, Schwarz M, Thron A. Cerebral hemispheric low-flow infarcts in arterial occlusive disease: lesion patterns and angiomorphological conditions. Stroke 1997;28:118–123.[Abstract/Free Full Text]
  40. Furlan M, Marchal G, Viader F, Derlon JM, Baron JC. Spontaneous neurological recovery after stroke and the fate of the ischemic penumbra. Ann Neurol 1996;40(2):216–226.[CrossRef][Medline]
  41. Arnold M, Nedeltchev K, Mattle HP, et al. Intra-arterial thrombolysis in 24 consecutive patients with internal carotid artery T occlusions. J Neurol Neurosurg Psychiatry 2003;74:739–742.[Abstract/Free Full Text]
  42. Castillo J, Leira R, Garcia MM, Serena J, Blanco M, Davalos A. Blood pressure decrease during the acute phase of ischemic stroke is associated with brain injury and poor stroke outcome. Stroke 2004;35:520–526.[Abstract/Free Full Text]
  43. Parsons MW, Barber PA, Chalk J, et al. Diffusion- and perfusion-weighted MRI response to thrombolysis in stroke. Ann Neurol 2002;51(1):28–37.[CrossRef][Medline]
  44. Hossmann KA. Viability thresholds and the penumbra of focal ischemia. Ann Neurol 1994;36:557–565.[CrossRef][Medline]
  45. Rohl L, Ostergaard L, Simonsen CZ, et al. Viability thresholds of ischemic penumbra of hyperacute stroke defined by perfusion-weighted MRI and apparent diffusion coefficient. Stroke 2001;32(5):1140–1146.[Abstract/Free Full Text]
  46. Darby DG, Barber PA, Gerraty RP, et al. Pathophysiological topography of acute ischemia by combined diffusion-weighted and perfusion MRI. Stroke 1999;30(10):2043–2052.[Abstract/Free Full Text]
  47. Wu O, Koroshetz WJ, Ostergaard L, et al. Predicting tissue outcome in acute human cerebral ischemia using combined diffusion- and perfusion-weighted MR imaging. Stroke 2001;32(4):933–942.[Abstract/Free Full Text]
  48. Dirnagl U, Iadecola C, Moskowitz MA. Pathobiology of ischaemic stroke: an integrated view. Trends Neurosci 1999;22:391–397.[CrossRef][Medline]
  49. Parsons MW, Yang Q, Barber PA, et al. Perfusion magnetic resonance imaging maps in hyperacute stroke: relative cerebral blood flow most accurately identifies tissue destined to infarct. Stroke 2001;32:1581–1587.[Abstract/Free Full Text]
  50. Nighoghossian N, Hermier M, Adeleine P, et al. Baseline magnetic resonance imaging parameters and stroke outcome in patients treated by intravenous tissue plasminogen activator. Stroke 2003;34(2):458–463.[Abstract/Free Full Text]
  51. Kidwell CS, Saver JL, Starkman S, et al. Late secondary ischemic injury in patients receiving intraarterial thrombolysis. Ann Neurol 2002;52(6):698–703.[CrossRef][Medline]
  52. Wintermark M, Reichhart M, Thiran JP, et al. Prognostic accuracy of cerebral blood flow measurement by perfusion computed tomography, at the time of emergency room admission, in acute stroke patients. Ann Neurol 2002;51(4):417–432.[CrossRef][Medline]
  53. Seitz RJ, Hamzawi M, Junghans U, Ringleb AP, Schranz C, Siebler M. Thrombolysis with rtPA and tirofiban in acute stroke: a pilot study. Stroke 2003;34:1932–1935.[Abstract/Free Full Text]



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