Deep learning models for deriving optimised measures of fat and muscle mass from MRI

Deep learning models for deriving optimised measures of fat and muscle mass from MRI

Abstract Fat and muscle mass are potential biomarkers of wellbeing and disease in oncology, but clinical measurement methods vary considerably. Here we evaluate the accuracy, precision and ability to track change for multiple deep learning (DL) models that quantify fat and muscle mass from abdominal...

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Main Authors: Belvin Thomas, M. Adam Ali, Fatima M. H. Ali, Anthony Chung, Manjiri Joshi, Sophia Maiguma-Wilson, Gabrielle Reiff, Hadil Said, Pardis Zalmay, Michael Berks, Matthew D. Blackledge, James P. B. O’Connor
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Biomarker
Cachexia
MRI
Oncology
Sarcopaenia
Wellbeing
Online Access:https://doi.org/10.1038/s41598-025-07867-w
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https://doi.org/10.1038/s41598-025-07867-w

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