Abstract #2927

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

Oun Al-iedani^1,2, Karen Ribbons², Jeannette Lechner-Scott^2,3,4, Neda Gholizadeh¹, Scott Quadrelli⁵, Rodney Lea², Ovidiu Andronesi⁶, and Saadallah Ramadan^1,2

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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