A Cross-Sectional Validation of Horos and CoreSlicer Software Programs for Body Composition Analysis in Abdominal Computed Tomography Scans in Colorectal Cancer Patients.

Andrés Jiménez-SánchezMaría Elisa Soriano-RedondoJosé Luis Pereira-Cunill Antonio Jesús Martínez-OrtegaJosé Ramón Rodríguez-MowbrayIrene María Ramallo-SolísPedro Pablo García-Luna

Published in: Diagnostics (Basel, Switzerland) (2024)

Both software programs were feasible tools in the study group. The MT CSA showed great inter-software agreement and no muscle atrophy misdiagnosis. Segmentation differences in the MT intensity and VAT CSA caused limited diagnostic misclassification in the study sample.

Keyphrases

body composition
computed tomography
public health
resistance training
magnetic resonance imaging
bone mineral density
deep learning
positron emission tomography
magnetic resonance
data analysis
machine learning
convolutional neural network
pet ct