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


     


Published online before print June 23, 2004, 10.1148/radiol.2322030198
This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
2322030198v1
232/2/461    most recent
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 Garaci, F. G.
Right arrow Articles by Simonetti, G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Garaci, F. G.
Right arrow Articles by Simonetti, G.
(Radiology 2004;232:461-465.)
© RSNA, 2004


Neuroradiology

Increased Brain Apparent Diffusion Coefficient in Tuberous Sclerosis1

Francesco G. Garaci, MD, Roberto Floris, MD, Alessandro Bozzao, MD, Guglielmo Manenti, MD, Alessandra Simonetti, MD, Tommaso Lupattelli, MD, Paolo Curatolo, MD and Giovanni Simonetti, MD

1 From the Departments of Diagnostic Imaging and Interventional Radiology (F.G.G., R.F., G.M., G.S.), Pediatrics (A.S.), and Neuroscience (P.C.), University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy; Department of Neuroradiology, University of Rome La Sapienza, Italy (A.B.); and Department of Radiology, University of Perugia, Italy (T.L.). Received February 5, 2003; revision requested April 14; final revision received October 27; accepted January 5, 2004. Address correspondence to F.G.G. (e-mail: francescogaraci@tiscali.it).


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
PURPOSE: To evaluate the water diffusivity of normal-appearing white matter (NAWM) in patients with tuberous sclerosis complex compared with that in control subjects.

MATERIALS AND METHODS: Diffusion and conventional magnetic resonance (MR) imaging examinations were performed in 18 patients with clinically established tuberous sclerosis complex (10 male and eight female patients; mean age, 20.1 years; range, 12–30 years), as well as in 18 age-matched control subjects (nine male and nine female; mean age, 20.2 years; range, 11–28 years). Apparent diffusion coefficients (ADCs) were generated, and small elliptic regions of interest were manually placed both in perilesional NAWM and in six anatomic locations of NAWM remote from hamartomatous lesions. Perilesional ADCs were compared with those at the same anatomic site on the contralateral side of the brain (generalized linear regression analysis). ADCs from the predetermined sites in patients were compared with those in control subjects (generalized linear regression analysis).

RESULTS: Supratentorial ADCs were higher in patients with tuberous sclerosis complex than in control subjects, and statistically significant differences were observed in the occipital white matter, frontal white matter, centrum semiovale, parietal white matter, and corona radiata (for each location, P < .001). Significant increases were also seen in the perilesional NAWM compared with NAWM at the same anatomic locations on the contralateral side (P < .001). Infratentorial ADCs were normal.

CONCLUSION: Significant ADC increases were measured in the supratentorial NAWM.

© RSNA, 2004

Index terms: Brain, MR, 13.12144 • Brain, white matter • Magnetic resonance (MR), diffusion study • Sclerosis, tuberous, 13.1832


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Tuberous sclerosis complex (TSC) is a congenital neurocutaneous syndrome classified as phacomatosis and characterized by widespread development of hamartomatous growth in multiple organ systems. Neurologic-based clinical manifestations include epilepsy, learning difficulties, and cognitive impairments (1). It is estimated that TSC affects one in 10,000 births (2). Results of linkage studies of familial TSC cases have demonstrated an autosomal dominant fashion, and two causative genes have been identified: TSC1 on chromosome band 9q34 and TSC2 on chromosome band 16p13.3 (3,4). TSC1 and TSC2 encode for hamartin and tuberin, respectively. These proteins are thought to be tumor suppressors and may be involved in the regulation of cell proliferation and differentiation (5). Typical central nervous system lesions of TSC are cortical tubers, subependymal nodules, white matter lesions, and subependymal giant cell astrocytomas (6). The histologic hallmark is the presence of abnormal giant cells with characteristics of both neurons and glia (7).

Magnetic resonance (MR) imaging plays an important role in the diagnosis of TSC; however, because of heterogeneous phenotypes, a clear correlation between brain lesions and clinical symptoms has not been defined. Diffusion-weighted MR imaging provides information on the motion of water molecules as a consequence of interaction with cellular structures. The trace of apparent diffusion coefficient (ADC) can be altered by pathologic processes that modify the tissue integrity and are undetectable at conventional MR imaging.

The purpose of this prospective study was to evaluate the water diffusivity of normal-appearing white matter (NAWM) in patients with TSC.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Subjects and Imaging
Eighteen patients (10 male and eight female) with established TSC according to the clinical diagnostic criteria (8) and 18 control subjects matched for age and sex were prospectively recruited for this study. The inclusion criterion for the patient group was a definitive diagnosis of TSC based on clinical and radiologic findings.

Clinical history and physical examination were used to assess the 18 control subjects. Among the control subjects, 12 underwent MR imaging for a pituitary study, four underwent imaging for cephalalgia, and two were healthy volunteers.

The mean age among patients with TSC was 20.1 years (range, 12–30 years); the mean age was 19.4 years (age range, 12–30 years) among male patients and 21.0 years (age range, 19–27 years) among female patients. Among control subjects, the mean age was 20.2 years (age range, 11–28 years); the mean age was 19.5 years (age range, 14–28 years) among male subjects and 20.8 years (age range, 11–27 years) among female subjects. Written informed consent was obtained from all participants, or, if participants were minors (age, <18 years), consent was obtained from their parents. The study was approved by the local ethics committee.

MR imaging was performed at 1.5 T (Intera; Philips Medical Systems, Best, the Netherlands) and included the following: transverse and sagittal spin-echo T1-weighted sequences (550/10 [repetition time msec/echo time msec]) with two signals acquired, a section thickness of 4 mm, and a gap of 1 mm; transverse spin-echo intermediate- and T2-weighted sequences (3,000/60) with one signal acquired, a section thickness of 4 mm, and a gap of 1 mm; transverse fluid-attenuated inversion-recovery (FLAIR) T2-weighted sequences (8,000/100/2,000 [repetition time msec/echo time msec/inversion time msec]); and single-shot echo-planar diffusion-weighted sequences (b factor, 0–1,000 sec/mm2). Diffusion gradients were applied in each of three orthogonal directions (x, y, z), and ADC maps were generated by using the Stejskal and Tanner equation (9): S = S0exp(–b · ADC), where S is the signal intensity when the maximum diffusion-sensitizing gradient, b, is applied, and S0 is the signal intensity without the diffusion gradient. From ADCx, ADCy, and ADCz, a directionally averaged trace was calculated, as follows: trace ADC = (ADCx + ADCy + ADCz)/3.

MR Image Analysis
An experienced neuroradiologist (R.F., more than 5 years of experience) who was aware of each subject’s status (either patient or control subject) independently performed the diffusion-weighted image analyses on a workstation. He identified all the hamartomatous lesions on both FLAIR and spin-echo T2-weighted images. Both FLAIR and spin-echo T2-weighted images were used to determine whether the white matter surrounding the hamartomas appeared to be normal or not. FLAIR images were used as an anatomic reference for the placement and tracing of the regions of interest (ROIs) over the NAWM. Small elliptic ROIs of 20.0–34.5 mm2 were placed on the FLAIR images and automatically superimposed by the software (Easy Vision; Philips Medical Systems) on the ADC maps. ROIs were never placed over hyperintense areas on spin-echo T2-weighted or FLAIR images. Six pairs of ROIs were drawn bilaterally for each subject (in both patients and control subjects) over the NAWM in six predetermined anatomic locations (six per side, 12 total). The white matter locations were frontal, occipital, parietal, corona radiata, centrum semiovale (Fig 1), and brachium pontis. Parietal, frontal, and corona radiata ROIs were drawn away from the ventricles to exclude visibly apparent areas of periventricular white matter hyperintensity. On FLAIR images, ROIs were also placed over the NAWM surrounding the hamartomas and over the contralateral NAWM as a control and were thus automatically superimposed on the ADC maps. The latter ROIs were placed as close as possible to the same anatomic location as the perilesional white matter that did not show any signal intensity abnormality on conventional images (Fig 2).



View larger version (112K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 1. A, Transverse FLAIR MR image (8,000/100/2,000, two signals acquired) shows cortical tubers (arrows). FLAIR images were used as a reference for correct placement (remote from hyperintense areas) of ROIs over NAWM on ADC maps. B, Transverse ADC map with ROIs at the level of the centrum semiovale.

 


View larger version (84K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 2. A, Transverse FLAIR image (8,000/100/2,000, two signals acquired) in a patient with TSC shows multiple hamartomas (arrows). FLAIR images were used as a reference for placement of ROIs on ADC maps. B, Transverse ADC map with ROIs over the perilesional NAWM (arrows) and the contralateral comparison (arrowheads).

 
Statistical Analysis
The power analysis was performed with {alpha} = .05 by using a two-sided t test with equal means, unequal variances, and equal number size (Stata version 7.0; Stata, College Station, Tex). For all supratentorial regions, the resulting power was greater than or equal to .99. For the brachium pontis location, the power was equal to .80.

Generalized linear regression analysis was performed by using the Pearson {chi}2 test for trend to assess differences in values between (a) the NAWM of the TSC group and control subjects (centrum semiovale, frontal area, corona radiata, occipital area, parietal area, brachium pontis) and (b) the perilesional NAWM versus contralateral NAWM in the TSC group.

Differences with a P value less than .05 were considered statistically significant. Data are presented as means (10–6 mm2/sec) ± standard deviations.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
All subjects with TSC had cortical tubers, subependymal nodules, or white matter lesions on MR images.

We found statistically significant differences in all supratentorial NAWM locations in the TSC group compared with these values in the same anatomic locations in the control group (Table). In particular, these statistically significant differences were observed between the TSC group and control group, respectively, as follows: centrum semiovale (768 ± 33 vs 699 ± 35, P < .001), frontal white matter (752 ± 25 vs 695 ± 30, P < .001), corona radiata (778 ± 42 vs 709 ± 24, P < .001), occipital white matter (783 ± 39 vs 706 ± 36, P < .001), and parietal white matter (767 ± 37 vs 724 ± 53, P < .001) (Fig 3). No statistically significant differences were observed in the brachium pontis location (696 ± 48 vs 666 ± 50, P = .052).


View this table:
[in this window]
[in a new window]

 
Comparison of ADCs in Subjects with and Those without TSC

 


View larger version (37K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 3. Comparison of mean ADCs (10–6 mm2/sec) between patients with and those without TSC by anatomic site (A, corona radiata; B, frontal white matter; C, centrum semiovale; D, occipital white matter). Differences in ADCs between patients and control subjects were statistically significant (generalized linear regression analysis, P < .05) except for in the brachium pontis (not shown). Std. Dev. = standard deviation, Std. Err. = standard error.

 
Statistically significant differences in ADCs were also observed in the NAWM surrounding the hamartomas when compared with the contralateral (same anatomic site, TSC group) location (820 ± 64 vs 763 ± 42, P < .001).


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
TSC is a disorder of cell migration, proliferation, and differentiation. The population of neuroepithelial cells in TSC is an abnormal cellular line of neuroblasts, which often fails to show clear neuronal and glial differentiation (10).

Some neuroastrocytes show partial migration, which results in heterotopic islets of dysplastic cells that may have characteristics of both neurons and glia. More differentiated cells migrate to the cortical plate; this results in clusters of dysplastic cortex (cortical tubers), which are responsible for both epilepsy and mental retardation.

Since results of fetal ultrasonography studies have shown that cranial abnormalities are detectable in TSC patients at as early as 14 weeks of gestation, the cellular effect of TSC gene mutations certainly occurs earlier than middle to late corticogenesis (11).

In the present study, we observed increased ADCs in all supratentorial NAWM of TSC patients, and, in addition, our observations of regions of NAWM surrounding the hamartomatous lesions revealed significant differences in ADCs compared with those of the contralateral side.

ADCs are rotationally invariant measurements of the diffusion of water molecules within a tissue (12). Diffusivity of water molecules is primarily related to microscopic structural barriers that alter the random motion of water on a molecular level (13). Because the degree of biologic membrane permeability is small, the main contribution of the diffusion constant comes from diffusion pathways that move around the cells rather than those that cross cell membranes. Experimental models have revealed that axonal cell membranes account for most of the restriction of water motion in white matter (14). Pathologic disruption of cell membranes, loss of myelin, or any process that may alter the integrity of axons would reduce the restriction of water motion, and, therefore, the ADCs would be expected to increase.

The increase in ADCs in supratentorial NAWM of patients with TSC may be caused by loss of tissue organization or by axonal hypomielination undetectable (unless large enough to be depicted) on conventional MR images.

Results of pathology studies have demonstrated that white matter lesions are invariably present in patients with TSC. On a microscopic level, these foci are characterized by disorganized heterotopic cells and hypomielination (7). They may be seen on spin-echo T2-weighted or FLAIR images as linear or curvilinear regions of hyperintensity (unless heavily calcified) that extend from subependymal nodules to cortical tubers. However, many of these disorganized foci are microscopic and, therefore, are not depicted at imaging (15). In addition, subtle pathologic changes in white matter areas distant from classical lesions have not been studied in detail.

Increases in ADCs within hamartomatous lesions have been described previously (16). In our study, the increase in ADCs observed in all white matter supratentorial locations, remote from any hyperintense area, suggests widespread ultrastructural changes and, therefore, may reflect diffuse microstructural damage.

Increased diffusivity of NAWM in patients with TSC may be caused by subtle radial hypomyelinated tracts, which usually extend from subependymal areas to the cortex. These tracts may be seen as linear areas of increased signal intensity on T2-weighted images. However, because we never placed ROIs on ADC maps over areas that were hyperintense either on spin-echo T2-weighted or on FLAIR images, the increased diffusivity of water molecules in NAWM could be more diffused than expected. Conversely, our findings might also indicate the presence of subtle disorganized white matter with heterotopic neurons, which is undetectable on conventional MR images.

Since ROIs had not been drawn below and/or between tubers and subependymal areas, the axonal microstructural damage demonstrated in our study would not be exclusively related to the linear band of cell migration but rather to the migration, differentiation, and organization of the white matter as a whole.

Whatever the explanation, we believe these findings are of interest, given the difficulty in diagnosis because of the absence of a reliable molecular marker and the great variability in clinical expression.

In a report of a combined study of functional magnetoencephalography and MR imaging, it was suggested that neuronal malfunctioning may not be restricted to the area of cortical tubers but may also affect functionally correlated regions (17). In addition, positron emmision tomography with fluorine 18 fluorodeoxyglucose demonstrated that cortical tubers represent areas of hypometabolism (18). Rintahaka and Chugani (19) confirmed that these areas correspond to cortical tubers on MR images. Furthermore, it has been demonstrated that hypometabolic areas are larger than lesions observed on MR images (20). Our results are congruent with those of this latter study in that we also clearly demonstrated that areas surrounding tubers, which appear normal on FLAIR images, show the greatest increases in ADCs. However, the most important result of our study is that there were widespread increases in ADCs for all white matter locations within the supratentorial regions in the TSC group. In addition, since it is well known that tubers rarely occur in the cerebellum (6), it is not surprising that we found no significant differences in ADCs within the infratentorial location (brachium pontis).

Our results might add clinically useful information in the diagnostic evaluation of patients with minor symptoms and the explanation of the variable clinical symptoms, and the results might also provide hints on the real extension of the epileptogenic zone. Finally, our findings might also help in understanding the physiopathogenesis of TSC in general.

One limitation of this study is that we did not evaluate the extent of the NAWM changes with other techniques, such as magnetization transfer and diffusion tensor MR imaging, which might have resulted in more detailed information on such subtle abnormalities. Further studies with other MR techniques are needed to confirm our findings.

Since the genetic mutation, which likely occurs in a dysplastic stem cell, represents the principal cause of events leading to hamartomatous lesions, diffuse ultrastructural changes reported herein may represent an important binding link between the molecular biologic events and the neurologic phenotype.


    FOOTNOTES
 
Abbreviations: ADC = apparent diffusion coefficient, FLAIR = fluid-attenuated inversion recovery, NAWM = normal-appearing white matter, ROI = region of interest, TSC = tuberous sclerosis complex

Author contributions: Guarantors of integrity of entire study, F.G.G., G.S.; study concepts and design, F.G.G., R.F., A.B.; literature research, G.M., A.S., P.C.; clinical studies, G.M., A.S., P.C.; data acquisition and analysis/interpretation, F.G.G., G.M., T.L.; statistical analysis, A.B., F.G.G.; manuscript preparation, F.G.G., A.B., P.C., R.F., T.L.; manuscript editing, F.G.G., R.F.; manuscript definition of intellectual content, revision/review, and final version approval, all authors


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Curatolo P, Verdecchia M, Bombardieri R. Tuberous sclerosis complex: a review of neurological aspects. Eur J Paediatr Neurol 2002; 6:15-23.[CrossRef][Medline]
  2. O’Callaghan FJ, Shiell AW, Osborne JP, Martyn CM. Prevalance of tuberous sclerosis estimated by capture-recapture analysis (letter). Lancet 1998; 351:1490.[Medline]
  3. Fryer AE, Chalmers AH, Osborne JP. Examining the parents of children with tuberous sclerosis (letter). Lancet 1986; 2:1467.
  4. Kandt RS, Haines L, Smith M, et al. Linkage of an important gene locus for tuberous sclerosis to a chromosome 16 marker for polycystic kidney disease. Nat Genet 1992; 2:37-41.[CrossRef][Medline]
  5. Tsuchiya H, Orimoto K, Kobayashi K, Hino O. Presence of potent transcriptional activation domains in the predisposing tuberous sclerosis (Tsc2) gene product of the Eker rat model. Cancer Res 1996; 56:429-433.[Abstract/Free Full Text]
  6. Braffman BH, Bilaniuk LT, Naidich TP, et al. MR imaging of tuberous sclerosis: pathogenesis of this phakomatosis, use of gadopentetate dimeglumine, and literature review. Radiology 1992; 183:227- 238.[Abstract/Free Full Text]
  7. Mizuguchi M, Takashima S. Neuropathology of tuberous sclerosis. Brain Dev 2001; 23:508-515.[CrossRef][Medline]
  8. Gomez MR, Northrup H. Tuberous sclerosis complex consensus conference: revised clinical diagnostic criteria. J Child Neurol 1998; 13:624-628.[Abstract/Free Full Text]
  9. Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 1986; 161:401-409.[Abstract/Free Full Text]
  10. Crino PB, Henske EP. New developments in the tuberous sclerosis complex. Neurology 1999; 53:1384-1390.[Abstract/Free Full Text]
  11. Brackley KJ, Farndon PA, Weaver JB, Dow DJ, Chapman S, Kilby MD. Prenatal diagnosis of tuberous sclerosis with intracerebral signs at 14 weeks’ gestation. Prenat Diagn 1999; 19:575-579.[CrossRef][Medline]
  12. Pierpaoli C, Jezzard P, Basser PJ, Barnett A, Di Chiro G. Diffusion tensor MR imaging of the human brain. Radiology 1996; 201:637-648.[Abstract/Free Full Text]
  13. Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson 1996; 111:209-219.[CrossRef][Medline]
  14. Beaulieu C, Allen PS. Determinants of anisotropic water diffusion in nerves. Magn Reson Med 1994; 31:394-400.[Medline]
  15. Barkocich AJ. Pediatric neuroimaging 3rd ed. Philadelphia, Pa: Lippincott Williams & Wilkins, 2000; 404-415.
  16. Sener RN. Tuberous sclerosis: diffusion MRI findings in the brain. Eur Radiol 2002; 12:138-143.[CrossRef][Medline]
  17. Peresson M, Lopez L, Narici L, Curatolo P. Magnetic source imaging and reactivity to rhythmical stimulation in tuberous sclerosis. Brain Dev 1998; 20:512-518.[CrossRef][Medline]
  18. Szelies B, Herholz K, Heiss WD, et al. Hypometabolic cortical lesions in tuberous sclerosis with epilepsy: demonstration by positron emission tomography. J Comput Assist Tomogr 1983; 7:946-953.[Medline]
  19. Rintahaka PJ, Chugani HT. Clinical role of positron emission tomography in children with tuberous sclerosis complex. J Child Neurol 1997; 12:42-52.[Abstract/Free Full Text]
  20. Chugani HT, Da Silva E, Chugani DC. Infantile spasms. III. Prognostic implications of bitemporal hypometabolism on positron emission tomography. Ann Neurol 1996; 39:643-649.



This article has been cited by other articles:


Home page
Am. J. Roentgenol.Home page
B. N. Kalantari and N. Salamon
Neuroimaging of Tuberous Sclerosis: Spectrum of Pathologic Findings and Frontiers in Imaging
Am. J. Roentgenol., May 1, 2008; 190(5): W304 - W309.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
M.I. Makki, D.C. Chugani, J. Janisse, and H.T. Chugani
Characteristics of Abnormal Diffusivity in Normal-Appearing White Matter Investigated with Diffusion Tensor MR Imaging in Tuberous Sclerosis Complex
AJNR Am. J. Neuroradiol., October 1, 2007; 28(9): 1662 - 1667.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
M.L. White, W.L. Hadley, Y. Zhang, and M.A. Dogar
Analysis of Central Nervous System Vasculitis with Diffusion-Weighted Imaging and Apparent Diffusion Coefficient Mapping of the Normal-Appearing Brain
AJNR Am. J. Neuroradiol., May 1, 2007; 28(5): 933 - 937.
[Abstract] [Full Text] [PDF]


Home page
PediatricsHome page
K. Yamada, H. Matsuzawa, M. Uchiyama, I. L. Kwee, and T. Nakada
Brain Developmental Abnormalities in Prader-Willi Syndrome Detected by Diffusion Tensor Imaging
Pediatrics, August 1, 2006; 118(2): e442 - e448.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
2322030198v1
232/2/461    most recent
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 Garaci, F. G.
Right arrow Articles by Simonetti, G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Garaci, F. G.
Right arrow Articles by Simonetti, G.


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