{"title":"Distinct microstructural white matter alterations in demyelinating diseases: Insights from myelin- and axon-sensitive MRI","authors":"Yasunobu Hoshino , Akifumi Hagiwara , Yuji Tomizawa , Naohisa Hara , Moto Nakaya , Junko Kikuta , Satoru Kamio , Hanna Okada , Koji Kamagata , Shigeki Aoki , Nobutaka Hattori","doi":"10.1016/j.msard.2026.107078","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>We aimed to compare microstructural white matter alterations in multiple sclerosis (MS), anti–aquaporin-4 antibody-positive neuromyelitis optica spectrum disorders (AQP4-NMOSD), and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) using advanced quantitative MRI.</div></div><div><h3>Methods</h3><div>This retrospective study included 84 participants (24 MS, 18 AQP4-NMOSD, 20 MOGAD, and 22 healthy controls). Quantitative MR relaxometry and multi-shell diffusion-weighted imaging were acquired at 3 T to derive myelin volume fraction (MVF), axonal volume fraction, g-ratio, and diffusion tensor metrics. Normal-appearing white matter (NAWM) was analyzed in all patients, and plaque-based analyses were performed in patients with focal white matter lesions (20 MS, 8 AQP4-NMOSD, 8 MOGAD). Diagnostic performance was assessed using receiver operating characteristic (ROC) analyses.</div></div><div><h3>Results</h3><div>In NAWM, MS showed significantly lower fractional anisotropy than MOGAD or controls (P < 0.05), and AQP4-NMOSD exhibited lower MVF than MOGAD (P < 0.05). Among patients with lesions, plaques in MS had significantly lower MVF and higher g-ratio than those in AQP4-NMOSD (P < 0.0001) and MOGAD (P < 0.05). Plaques in AQP4-NMOSD showed a lower g-ratio than MOGAD (P < 0.01). Univariate ROC analyses revealed that plaque g-ratio distinguished AQP4-NMOSD from MS (AUC 0.92 [95%CI, 0.82–1.00], sensitivity 100.0%, specificity 75.0%) and from MS + MOGAD (AUC 0.88 [0.77–0.99], sensitivity 100.0%, specificity 75.0%). A multivariate model combining NAWM and plaque metrics further improved discrimination (AUC 0.95 [0.88–1.00], sensitivity 75.0%, specificity 95.0%, and AUC 0.91 [0.81–1.00], sensitivity 50.0%, specificity 92.9%).</div></div><div><h3>Conclusion</h3><div>Quantitative MRI metrics—especially MVF and g-ratio—demonstrate distinct microstructural profiles among MS, AQP4-NMOSD, and MOGAD, enabling improved disease differentiation.</div></div>","PeriodicalId":18958,"journal":{"name":"Multiple sclerosis and related disorders","volume":"109 ","pages":"Article 107078"},"PeriodicalIF":3.0000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiple sclerosis and related disorders","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211034826001148","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/16 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
We aimed to compare microstructural white matter alterations in multiple sclerosis (MS), anti–aquaporin-4 antibody-positive neuromyelitis optica spectrum disorders (AQP4-NMOSD), and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) using advanced quantitative MRI.
Methods
This retrospective study included 84 participants (24 MS, 18 AQP4-NMOSD, 20 MOGAD, and 22 healthy controls). Quantitative MR relaxometry and multi-shell diffusion-weighted imaging were acquired at 3 T to derive myelin volume fraction (MVF), axonal volume fraction, g-ratio, and diffusion tensor metrics. Normal-appearing white matter (NAWM) was analyzed in all patients, and plaque-based analyses were performed in patients with focal white matter lesions (20 MS, 8 AQP4-NMOSD, 8 MOGAD). Diagnostic performance was assessed using receiver operating characteristic (ROC) analyses.
Results
In NAWM, MS showed significantly lower fractional anisotropy than MOGAD or controls (P < 0.05), and AQP4-NMOSD exhibited lower MVF than MOGAD (P < 0.05). Among patients with lesions, plaques in MS had significantly lower MVF and higher g-ratio than those in AQP4-NMOSD (P < 0.0001) and MOGAD (P < 0.05). Plaques in AQP4-NMOSD showed a lower g-ratio than MOGAD (P < 0.01). Univariate ROC analyses revealed that plaque g-ratio distinguished AQP4-NMOSD from MS (AUC 0.92 [95%CI, 0.82–1.00], sensitivity 100.0%, specificity 75.0%) and from MS + MOGAD (AUC 0.88 [0.77–0.99], sensitivity 100.0%, specificity 75.0%). A multivariate model combining NAWM and plaque metrics further improved discrimination (AUC 0.95 [0.88–1.00], sensitivity 75.0%, specificity 95.0%, and AUC 0.91 [0.81–1.00], sensitivity 50.0%, specificity 92.9%).
Conclusion
Quantitative MRI metrics—especially MVF and g-ratio—demonstrate distinct microstructural profiles among MS, AQP4-NMOSD, and MOGAD, enabling improved disease differentiation.
期刊介绍:
Multiple Sclerosis is an area of ever expanding research and escalating publications. Multiple Sclerosis and Related Disorders is a wide ranging international journal supported by key researchers from all neuroscience domains that focus on MS and associated disease of the central nervous system. The primary aim of this new journal is the rapid publication of high quality original research in the field. Important secondary aims will be timely updates and editorials on important scientific and clinical care advances, controversies in the field, and invited opinion articles from current thought leaders on topical issues. One section of the journal will focus on teaching, written to enhance the practice of community and academic neurologists involved in the care of MS patients. Summaries of key articles written for a lay audience will be provided as an on-line resource.
A team of four chief editors is supported by leading section editors who will commission and appraise original and review articles concerning: clinical neurology, neuroimaging, neuropathology, neuroepidemiology, therapeutics, genetics / transcriptomics, experimental models, neuroimmunology, biomarkers, neuropsychology, neurorehabilitation, measurement scales, teaching, neuroethics and lay communication.