Deep learning‐based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer

Deep learning‐based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer

Abstract Background Personalized therapy planning remains a significant challenge in advanced colorectal cancer care, despite extensive research on prognostic and predictive markers. A strong correlation of sarcopenia or overall body composition and survival has been described. Here, we explore whet...

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Bibliographic Details
Main Authors: Julius Keyl, René Hosch, Aaron Berger, Oliver Ester, Tobias Greiner, Simon Bogner, Jürgen Treckmann, Saskia Ting, Brigitte Schumacher, David Albers, Peter Markus, Marcel Wiesweg, Michael Forsting, Felix Nensa, Martin Schuler, Stefan Kasper, Jens Kleesiek
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:Journal of Cachexia, Sarcopenia and Muscle
Subjects:
Body composition
Machine learning
Colorectal cancer
Prognosis
Computed tomography
Online Access:https://doi.org/10.1002/jcsm.13158

Internet

https://doi.org/10.1002/jcsm.13158

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