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Abstract #4886

Prediction of Lesion Growth in Multiple Sclerosis: A longitudinal Study with High-resolution Whole-brain MRSI

Bin Bo1, Tianyang Sheng2, Weijun Tang3, Ziyu Meng1,4, Yibo Zhao5, Yudu Li5,6,7, Wen Jin5,8, Zhi-Pei Liang5,8, Xiangjun Chen2, and Yao Li1,4
1National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China, 3Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China, 4Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China, 5Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 7National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 8Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Synopsis

Keywords: Neuroinflammation, Multiple Sclerosis

Motivation: Detecting diffuse inflammation can help predict lesion growth in multiple sclerosis (MS), but conventional MRI/MRSI lacks the necessary sensitivity and efficacy.

Goal(s): To investigate whether neuroinflammatory and neuronal biomarkers measured using high-resolution whole-brain MRSI could predict lesion growth in MS patients.

Approach: High-resolution neurometabolite mapping was performed in a longitudinal cohort of 34 MS patients over six months using the SPICE technology.

Results: Lac/NAA and mI/NAA levels within baseline lesions were significantly correlated with increasing lesion volumes. Combining all MRSI biomarkers yielded the best performance in predicting enlarging lesion volumes and identifying patients with higher risk of lesion growth.

Impact: High-resolution whole-brain MRSI provides a promising tool for predicting lesion growth and stratifying patients with higher risk of enlarging lesions during short-term follow-up in MS.

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Keywords