Automatic assessment of body composition in children with lymphoma: results of a [ 18 F]FDG-PET/MR study.

Chiara GiraudoCeleste CavallinMarta PillonElisa CarraroGiulia FicheraDiego CecchinPietro Zucchetta

Published in: European radiology (2024)

T1w Dixon images can be used for the automatic segmentation and quantification of body composition. Muscle and subcutaneous fat volume do not act as predictors of the response to treatment in children with lymphoma. Chemotherapy induces changes in body composition in children with lymphoma.

Keyphrases

pet ct
body composition
resistance training
deep learning
bone mineral density
positron emission tomography
young adults
diffuse large b cell lymphoma
convolutional neural network
machine learning
adipose tissue
squamous cell carcinoma
magnetic resonance
computed tomography
postmenopausal women
neural network