Body Composition to Define Prognosis of Cancers Treated by Anti-Angiogenic Drugs.

Pierre Decazes Samy Ammari Antoine De Prévia Léo Mottay Littisha Lawrance Younes BelkouchiBaya BenatsouLaurence AlbigesCorinne BalleyguierPierre VeraNathalie Lassau

Published in: Diagnostics (Basel, Switzerland) (2023)

automatic and 3D body composition on pre-therapeutic CT is feasible and can improve prognostication in patients treated with anti-angiogenic drugs. Moreover, the 3D measurements appear to be more effective than their 2D counterparts.

Keyphrases

body composition
resistance training
bone mineral density
computed tomography
deep learning
machine learning
image quality
contrast enhanced
magnetic resonance imaging
positron emission tomography
magnetic resonance
postmenopausal women
newly diagnosed
childhood cancer