Abstract #3766

Optimized Susceptibility Weighted Imaging for the Detection of Central Vein Sign in Multiple Sclerosis at 3-tesla

Sreekanth Madhusoodhanan Nair¹, Yin-Chen Hsu², Elaina Luskin¹, Diana Ayrapetyan³, Angel Liu¹, Nader Binesh⁴, Marcel Maya⁴, Yibin Xie², Debiao Li², Marwa Kaisey³, Omar Al-Louzi^3,5, Daniel Ontaneda⁶, Nancy L Sicotte³, and Pascal Sati^1,2,3

¹Neuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ²Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ³Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ⁴Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ⁵Visual Outcomes Laboratory, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ⁶The Mellen Center for Multiple Sclerosis and Research, Department of Neurology, Cleveland Clinic Foundation, Cleveland, OH, United States

Synopsis

Keywords: Multiple Sclerosis, biomarkers

Motivation: Standard SWI results in isointense or hypointense appearance of brain lesions preventing adequate detection of the central vein sign (CVS).

Goal(s): This study aims to evaluate an optimized SWI protocol for improved detection of CVS at 3T.

Approach: An optimized SWI protocol was developed by reducing the flip angle (from 15° to 5°) to provide adequate image contrast for CVS detection and compared against standard SWI.

Results: CVS detection was increased by 23% when using optimized SWI as compared to standard. Diagnostic classification was also improved using optimized SWI (7/10 MS-patients classified as CVS-positive) versus standard SWI (3/10 MS-patients classified as CVS-positive).

Impact: Optimized SWI protocol increases CVS detection and improves diagnostic classification for MS as compared to standard SWI.

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