Advancing body composition assessment in patients with cancer: First comparisons of traditional versus multicompartment models

•4C body composition modeling reveals hydration variations in patients with cancer.•Compared to a 4C model, DXA is preferred for clinical body composition.•Regional lean soft tissue by DXA is higher than that predicted by abdominal CT scan.•Differences between DXA and CT result in a lower muscle mas...

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Veröffentlicht in:	Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2024-09, Vol.125, p.112494, Article 112494
Hauptverfasser:	Bennett, Jonathan P., Ford, Katherine L., Siervo, Mario, Gonzalez, Maria Cristina, Lukaski, Henry C., Sawyer, Michael B., Mourtzakis, Marina, Deutz, Nicolaas E.P., Shepherd, John A., Prado, Carla M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accessibility Agreements bioelectrical impedance bioelectrical impedance analysis, BIA Bioelectricity Body composition Body mass index Cancer Cancer therapies Classification Clinical medicine Colorectal cancer Colorectal carcinoma colorectal neoplasms Computed tomography Criteria densitometry Dual energy X-ray absorptiometry DXA Electrocardiography Electrodes Error analysis Fat-free body mass Fat-free mass lean body mass Malnutrition Medical records Multicompartment model Muscles nutrition Nutrition research Oncology Patients Plethysmography Proteins regression analysis Regression models Root-mean-square errors Skeletal muscle Soft tissues Software
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