Exploration of Fully‐Automated Body Composition Analysis Using Routine CT‐Staging of Lung Cancer Patients for Survival Prognosis

Exploration of Fully‐Automated Body Composition Analysis Using Routine CT‐Staging of Lung Cancer Patients for Survival Prognosis

ABSTRACT Background AI‐driven automated body composition analysis (BCA) may provide quantitative prognostic biomarkers derived from routine staging CTs. This two‐centre study evaluates the prognostic value of these volumetric markers for overall survival in lung cancer patients. Methods Lung cancer...

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Main Authors: Marc‐David Künnemann, Christian Römer, Anne Helfen, Annalen Bleckmann, Marcel Kemper, Walter Heindel, Tobias J. Brix, Michael Forsting, Johannes Haubold, Marcel Opitz, Martin Schuler, Felix Nensa, Katarzyna Borys, René Hosch
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Journal of Cachexia, Sarcopenia and Muscle
Subjects:
body composition analysis
deep learning
lung cancer
myosteatosis
sarcopenia
Online Access:https://doi.org/10.1002/jcsm.70021
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https://doi.org/10.1002/jcsm.70021

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