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NODDI-derived U-Fiber MRI Markers for Risk Stratification of Progression Independent of Relapse Activity in Relapsing-remitting Multiple Sclerosis.

Aug 2026 · Academic Radiology · 0 citations · 26 references
Medicine

TL;DR

Advanced diffusion MRI-derived U-fiber metrics may complement clinical measures for exploratory PIRA risk stratification in RRMS and warrant validation in independent multicenter cohorts.

Abstract

Rationale

AND

Objectives

Progression independent of relapse activity (PIRA) contributes to disability accumulation in relapsing-remitting multiple sclerosis (RRMS), but magnetic resonance imaging (MRI) markers of its microstructural substrate remain unclear. We evaluated whether U-fiber metrics derived from neurite orientation dispersion and density imaging and diffusion tensor imaging are associated with subsequent PIRA and may support MRI-based risk stratification.

Materials And Methods

This single-center longitudinal study included 138 patients with RRMS who underwent 3 T brain MRI and were followed for a median of 3.0 years. PIRA required an Expanded Disability Status Scale (EDSS) worsening confirmed over 6 months; events preceded by a relapse within 90 days or followed by a relapse before the 6-month confirmation assessment were excluded. Metrics were extracted from 16 atlas-based superficial U-fiber bundles. Candidate variables underwent univariable screening, variance inflation factor filtering, and exploratory multivariable logistic regression to construct a reduced model. Performance was assessed using five-fold cross-validation, calibration, Brier score, decision curve analysis, and continuous net reclassification improvement (NRI).

Results

PIRA developed in 35 patients (25.4%). Symbol Digit Modalities Test (SDMT), EDSS, right occipitotemporal neurite density index (NDI), right parietotemporal NDI, and right occipitotemporal FA were retained. The reduced model achieved an AUC of 0.793 (95% confidence interval [CI], 0.693-0.893) and a Brier score of 0.143. Adding U-fiber metrics improved reclassification beyond SDMT and EDSS (continuous NRI, 0.518; 95% CI, 0.138-0.882; p = 0.006).

Conclusion

Advanced diffusion MRI-derived U-fiber metrics may complement clinical measures for exploratory PIRA risk stratification in RRMS and warrant validation in independent multicenter cohorts.

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