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Lesion size and shape in central vein sign assessment for multiple sclerosis diagnosis: An in vivo and postmortem MRI study

Authors :
Omar Al-Louzi
Sargis Manukyan
Maxime Donadieu
Martina Absinta
Vijay Letchuman
Brent Calabresi
Parth Desai
Erin S Beck
Snehashis Roy
Joan Ohayon
Dzung L Pham
Anish Thomas
Steven Jacobson
Irene Cortese
Pavan K Auluck
Govind Nair
Pascal Sati
Daniel S Reich
Source :
Mult Scler
Publication Year :
2022
Publisher :
SAGE Publications, 2022.

Abstract

Background: The “central vein sign” (CVS), a linear hypointensity on T2*-weighted imaging corresponding to a central vein/venule, is associated with multiple sclerosis (MS) lesions. The effect of lesion-size exclusion criteria on MS diagnostic accuracy has not been extensively studied. Objective: Investigate the optimal lesion-size exclusion criteria for CVS use in MS diagnosis. Methods: Cross-sectional study of 163 MS and 51 non-MS, and radiological/histopathological correlation of 5 MS and 1 control autopsy cases. The effects of lesion-size exclusion on MS diagnosis using the CVS, and intralesional vein detection on histopathology were evaluated. Results: CVS+ lesions were larger compared to CVS− lesions, with effect modification by MS diagnosis (mean difference +7.7 mm3, p = 0.004). CVS percentage-based criteria with no lesion-size exclusion showed the highest diagnostic accuracy in differentiating MS cases. However, a simple count of three or more CVS+ lesions greater than 3.5 mm is highly accurate and can be rapidly implemented (sensitivity 93%; specificity 88%). On magnetic resonance imaging (MRI)-histopathological correlation, the CVS had high specificity for identifying intralesional veins (0/7 false positives). Conclusion: Lesion-size measures add important information when using CVS+ lesion counts for MS diagnosis. The CVS is a specific biomarker corresponding to intralesional veins on histopathology.

Details

ISSN :
14770970 and 13524585
Volume :
28
Database :
OpenAIRE
Journal :
Multiple Sclerosis Journal
Accession number :
edsair.doi.dedup.....3d5d81b721043c143d0a0c552e0af8c1