A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis.

Federico Spagnolo; Pedro M. Gordaliza; Aarushi Bhardwaj; P.-F. Lu; Mario Ocampo-Pineda; Meritxell Bach Cuadra; Matthias Weigel; Esther Ruberte; Xinjie Chen; Tommaso Sirito; Alessandro Cagol; Vincent Andrearczyk; Adrien Depeursinge; Cristina Granziera

doi:10.1177/13524585261421491

March 6, 2026

A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis.

View Full Paper

Ask AI

Bookmark

Share

Key Points

The aim is to develop a deep learning network to classify different lesion types in multiple sclerosis, enhancing diagnostic accuracy.
Implemented a multi-modal deep learning network
Classified paramagnetic rim lesions and remyelinated lesions
Utilized magnetic resonance imaging for lesion detection
Achieved high accuracy in classifying paramagnetic rim lesions
Successfully detected remyelinated lesions
Potential to improve personalized treatment strategies for individuals with multiple sclerosis

Implication

Demonstrates high-accuracy lesion classification in multiple sclerosis, guiding personalized treatment decisions.

Abstract

Deep learning can automate the classification of PRLs and QSM lesion phenotypes with high accuracy, potentially facilitating the detection of PRLs (included in the new diagnostic criteria) and remyelinated lesions, guiding personalized treatment decisions in pwMS.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Spagnolo et al. (2026) studied this question.

synapsesocial.com/papers/69ada8dfbc08abd80d5bc48c https://doi.org/10.1177/13524585261421491

View Full Paper

Ask AI

Bookmark

Share

A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis.

Key Points

Implication

Abstract

Discussion

Cite This Study

A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis.

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading