Association of Spinal Cord Radiomic Features and Disability in Multiple Sclerosis

Radiomics identified pathological changes in pwMS in varying stages of the disease course that are undetectable by conventional spinal cord MRI. Radiomics may increase the yield of spinal cord MRI in pwMS and serve as biomarkers predicting disability worsening.

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Publication Details

Journal
Journal of Neuroimaging
Published
2025-09-01
DOI
https://doi.org/10.1111/jon.70089
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Association of Spinal Cord Radiomic Features and Disability in Multiple Sclerosis

Yadi Li, Daniel Ontaneda, Nicolas R. Thompson, Kunio Nakamura et al.
Journal of Neuroimaging
Radiomics and Machine Learning in Medical Imaging
article

Association of Spinal Cord Radiomic Features and Disability in Multiple Sclerosis

Yadi Li, Daniel Ontaneda, Nicolas R. Thompson, Kunio Nakamura, Jeffrey Lambe
article en

Abstract

Radiomics identified pathological changes in pwMS in varying stages of the disease course that are undetectable by conventional spinal cord MRI. Radiomics may increase the yield of spinal cord MRI in pwMS and serve as biomarkers predicting disability worsening.

Journal of NeuroimagingVol. 35(5)
Cleveland Clinic (US), Outcomes Research Consortium (US), Cleveland Clinic Lerner College of Medicine (US), Cleveland Research (United States) (US), The Neurological Institute (US)
Bristol-Myers Squibb, Patient-Centered Outcomes Research Institute, Race to Erase MS, Multiple Sclerosis Society, National Institutes of Health, Genentech
Openalex Percentile: Top 66%
Radiomics and Machine Learning in Medical Imaging
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