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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleBrainF

Identification and Clinical Impact of Multiple Sclerosis Cortical Lesions as Assessed by Routine 3T MR Imaging

A. Mike, B.I. Glanz, P. Hildenbrand, D. Meier, K. Bolden, M. Liguori, E. Dell'Oglio, B.C. Healy, R. Bakshi and C.R.G. Guttmann
American Journal of Neuroradiology March 2011, 32 (3) 515-521; DOI: https://doi.org/10.3174/ajnr.A2340
A. Mike
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B.I. Glanz
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P. Hildenbrand
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D. Meier
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K. Bolden
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M. Liguori
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E. Dell'Oglio
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B.C. Healy
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R. Bakshi
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C.R.G. Guttmann
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Abstract

BACKGROUND AND PURPOSE: Histopathologic studies have reported widespread cortical lesions in MS; however, in vivo detection by using routinely available pulse sequences is challenging. We investigated the relative frequency and subtypes of cortical lesions and their relationships to white matter lesions and cognitive and physical disability.

MATERIALS AND METHODS: Cortical lesions were identified and classified on the basis of concurrent review of 3D FLAIR and 3D T1-weighted IR-SPGR 3T MR images in 26 patients with MS. Twenty-five patients completed the MACFIMS battery. White matter lesion volume, cortical lesion number, and cortical lesion volume were assessed.

RESULTS: Overall, 249 cortical lesions were detected. Cortical lesions were present in 24/26 patients (92.3%) (range per patient, 0–30; mean, 9.6 ± 8.8). Most (94.4%, n = 235) cortical lesions were classified as mixed cortical-subcortical (type I); the remaining 5.6% (n = 14) were classified as purely intracortical (type II). Subpial cortical lesions (type III) were not detected. White matter lesion volume correlated with cortical lesion number and cortical lesion volume (rS = 0.652, rS = 0.705, respectively; both P < .001). After controlling for age, depression, and premorbid intelligence, we found that all MR imaging variables (cortical lesion number, cortical lesion volume, white matter lesion volume) correlated with the SDMT score (R2 = 0.513, R2 = 0.449, R2 = 0.418, respectively; P < .014); cortical lesion number also correlated with the CVLT-II scores (R2 = 0.542–0.461, P < .043). The EDSS scores correlated with cortical lesion number and cortical lesion volume (rS = 0.472, rS = 0.404, respectively; P < .05), but not with white matter lesion volume.

CONCLUSIONS: Our routinely available imaging method detected many cortical lesions in patients with MS and was useful in their precise topographic characterization in the context of the gray matter−white matter junction. Routinely detectable cortical lesions were related to physical disability and cognitive impairment.

Abbreviations

BVMT-R
Brief Visuospatial Memory Test-Revised
CES-D
Center for Epidemiologic Studies Depression Scale
CLN
cortical lesion number
CLV
cortical lesion volume
COWAT
Controlled Oral Word Association Test
CVLT-II
California Verbal Learning Test, second edition
D-KEFS
Delis-Kaplan Executive Function System Sorting Test
EDSS
Expanded Disability Status Scale
FLAIR
fluid-attenuated inversion recovery
IR-SPGR
inversion recovery spoiled gradient recalled
JLO
Judgment of Line Orientation Test
MACFIMS
Minimal Assessment of Cognitive Function in Multiple Sclerosis
Max
maximum
Min
minimum
MS
multiple sclerosis
N/A
not applicable
NAART
North American Adult Reading Test
PASAT
Paced Auditory Serial Addition Test
RR
relapsing-remitting
rS
Spearman correlation coefficient
SDMT
Symbol Digit Modalities Test
SP
secondary-progressive
St β
partial regression coefficient for standardized data
TLV
total lesion volume = CLV + WMLV
WMLV
white matter lesion volume
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American Journal of Neuroradiology: 32 (3)
American Journal of Neuroradiology
Vol. 32, Issue 3
1 Mar 2011
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Cite this article
A. Mike, B.I. Glanz, P. Hildenbrand, D. Meier, K. Bolden, M. Liguori, E. Dell'Oglio, B.C. Healy, R. Bakshi, C.R.G. Guttmann
Identification and Clinical Impact of Multiple Sclerosis Cortical Lesions as Assessed by Routine 3T MR Imaging
American Journal of Neuroradiology Mar 2011, 32 (3) 515-521; DOI: 10.3174/ajnr.A2340

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Identification and Clinical Impact of Multiple Sclerosis Cortical Lesions as Assessed by Routine 3T MR Imaging
A. Mike, B.I. Glanz, P. Hildenbrand, D. Meier, K. Bolden, M. Liguori, E. Dell'Oglio, B.C. Healy, R. Bakshi, C.R.G. Guttmann
American Journal of Neuroradiology Mar 2011, 32 (3) 515-521; DOI: 10.3174/ajnr.A2340
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