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Published online before print July 29, 2009, doi:10.1212/WNL.0b013e3181b64bf7)
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Volume 73, Number 12, September 22, 2009
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NEUROLOGY 2009;73:941-948
© 2009 American Academy of Neurology

In vivo imaging of cortical pathology in multiple sclerosis using ultra-high field MRI

C. Mainero, MD, PhD, T. Benner, PhD, A. Radding, A. van der Kouwe, PhD, R. Jensen, MD, B. R. Rosen, MD, PhD and R. P. Kinkel, MD

From the HMS/MIT/A. Athinoula Martinos Center for Biomedical Imaging (C.M., T.B., A.R., A.v.d.K., B.R.R.), Massachusetts General Hospital; and Beth Israel Deaconess Medical Center (R.J., R.P.K.), Harvard Medical School, Boston, MA.

Address correspondence and reprint requests to Dr. Caterina Mainero, Athinoula Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129 caterina{at}nmr.mgh.harvard.edu

Objective: We used ultra-high field MRI to visualize cortical lesion types described by neuropathology in 16 patients with multiple sclerosis (MS) compared with 8 age-matched controls; to characterize the contrast properties of cortical lesions including T2*, T2, T1, and phase images; and to investigate the relationship between cortical lesion types and clinical data.

Methods: We collected, on a 7-T scanner, 2-dimensional fast low-angle shot (FLASH)-T2*-weighted spoiled gradient-echo, T2-weighted turbo spin-echo (TSE) images (0.33 x 033 x 1 mm3), and a 3-dimensional magnetization-prepared rapid gradient echo.

Results: Overall, 199 cortical lesions were detected in patients on both FLASH-T2* and T2-TSE scans. Seven-tesla MRI allowed for characterization of cortical plaques into type I (leukocortical), type II (intracortical), and type III/IV (subpial extending partly or completely through the cortical width) lesions as described histopathologically. Types III and IV were the most frequent type of cortical plaques (50.2%), followed by type I (36.2%) and type II (13.6%) lesions. Each lesion type was more frequent in secondary progressive than in relapsing–remitting MS. This difference, however, was significant only for type III/IV lesions. T2*-weighted images showed the highest, while phase images showed the lowest, contrast-to-noise ratio for all cortical lesion types. In patients, the number of type III/IV lesions was associated with greater disability (p < 0.02 by Spearman test) and older age (p < 0.04 by Spearman test).

Conclusions: Seven-tesla MRI detected different histologic cortical lesion types in our small multiple sclerosis (MS) sample, suggesting, if validated in a larger population, that it may prove a valuable tool to assess the contribution of cortical MS pathology to clinical disability.

Abbreviations: ANOVA = analysis of variance; BN = background noise; CNR = contrast-to-noise ratio; DIR = double-inversion recovery; EDSS = Expanded Disability Status Scale; FLAIR = fluid-attenuated inversion recovery; FLASH = fast low-angle shot; GM = gray matter; MPRAGE = magnetization-prepared rapid gradient echo; MR = magnetic resonance; MS = multiple sclerosis; NACGM = normal-appearing cortical gray matter; RF = radiofrequency; ROI = region of interest; RRMS = relapsing–remitting multiple sclerosis; SNR = signal-to-noise ratio; SPMS = secondary progressive multiple sclerosis; TA = time of acquisition; TE = echo time; TR = repetition time; TSE = turbo spin-echo; WM = white matter.


Supplemental data at www.neurology.org

Editorial, page 918

e-Pub ahead of print on July 29, 2009, at www.neurology.org.

*These authors contributed equally to this work.

The study was sponsored by A. A. Martinos Center internal funds and by the NIH (5P41 RR14075 08).

Disclosure: Author disclosures are provided at the end of the article.

Received February 26, 2009. Accepted in final form June 9, 2009.


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