Regional Cerebral Atrophy Contributes to Personalized Survival Prediction in Amyotrophic Lateral Sclerosis: A Multicentre, Machine Learning, Deformation-Based Morphometry Study.

Journal: Annals of neurology

Published Date: Feb 22, 2025

Abstract

OBJECTIVE: Accurate personalized survival prediction in amyotrophic lateral sclerosis is essential for effective patient care planning. This study investigates whether grey and white matter changes measured by magnetic resonance imaging can improve individual survival predictions.

Authors

Isabelle Lajoie

Douglas Mental Health University Health Centre, Montreal, Quebec, Canada.
Sanjay Kalra

Department of Computing Science, University of Alberta, Edmonton, Canada.
Mahsa Dadar

Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.

Keywords

Aged Amyotrophic Lateral Sclerosis Atrophy Brain Disease Progression Female Gray Matter Humans Machine Learning Magnetic Resonance Imaging Male Middle Aged White Matter

External Resources

View on PubMed Access via DOI PubMed (39985309)

Regional Cerebral Atrophy Contributes to Personalized Survival Prediction in Amyotrophic Lateral Sclerosis: A Multicentre, Machine Learning, Deformation-Based Morphometry Study.

Abstract

Authors

Keywords

External Resources

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