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Abstract #2927

Neurometabolic Mapping of RRMS patients using multi-slice Spiral-MRSI and support vector machine techniques

Oun Al-iedani1,2, Karen Ribbons2, Jeannette Lechner-Scott2,3,4, Neda Gholizadeh1, Scott Quadrelli5, Rodney Lea2, Ovidiu Andronesi6, and Saadallah Ramadan1,2
1School of Health Sciences, University of Newcastle, Newcastle, Australia, 2Hunter Medical Research Institute (HMRI), Newcastle, Australia, 3School of Medicine and Public Health, University of Newcastle, Newcastle, Australia, 4Department of Neurology, John Hunter Hospital, Newcastle, Australia, 5Faculty of Medicine, University of Queensland, Herston, Australia, 6Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States

The study designed a novel neurometabolic mapping using multi-slice Spiral-MRSI with multi-voxel segmentation and support vector machine(SVM) techniques to demonstrate the true nature of NAWM and WML of RRMS patients, compared to HCs. 3D-Spiral-MRSI covering 75% of the brain on 16 RRMS and 9 HCs were used. Multi-slice-MRSI was processed using novel pipeline with 3-model SVM classifications. Neurometabolic mapping revealed that (NAA/tCr) in WM-lesions was significantly lower than NAWM-MS and HCs with HCs vs WML model achieving highest sensitivity and specificity. Multi-slice-spiral-MRSI may enhance diagnosis and clinical monitoring of RRMS patients, and is sensitive in diagnosing RRMS even in NAWM.

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