Body composition assessment with ultrasound muscle measurement

Colorectal cancer (CRC) is a disease with a high prevalence and major impact on global health. Body composition (BC) data are of great importance in the assessment of nutritional status. Ultrasound (US) is an emerging, accessible and non-invasive technique that could be an alternative when it is not...

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Detalles Bibliográficos
Autores: Palmas Candia, Fiorella|||0000-0002-9941-1816, Mucarzel, Fernanda, Ricart Viles, Marta, Lluch, Amador, Zabalegui Eguinoa, Alba, Melian, Jose, Guerra, Raul|||0000-0002-4303-3051, Rodríguez, Aitor|||0000-0002-4838-781X, Roson, Nuria|||0000-0001-6751-7491, Ciudin, Andreea|||0000-0001-5622-0203, Burgos Peláez, Rosa|||0000-0003-3927-0887
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:304949
Acceso en línea:https://ddd.uab.cat/record/304949
https://dx.doi.org/urn:doi:10.3389/fnut.2024.1372816
Access Level:acceso abierto
Palabra clave:Ultrasound
Rectus femoris
Computed tomography
Colorectal cancer
Body composition
Descripción
Sumario:Colorectal cancer (CRC) is a disease with a high prevalence and major impact on global health. Body composition (BC) data are of great importance in the assessment of nutritional status. Ultrasound (US) is an emerging, accessible and non-invasive technique that could be an alternative when it is not feasible to perform computed tomography (CT). The aim of this study is to evaluate the correlation between CT, as a reference technique, and US of the rectus femoris (RF) as a "proof of concept," in a cohort of patients with CRC and assess the optimisation of results obtained by US when performed by our new semi-automated tool. A single-centre cross-sectional study including 174 patients diagnosed with CRC and undergoing surgery was carried out at the Vall d'Hebron Hospital. We found a strong correlation between CT and US of the RF area (r = 0.67; p < 0.005). The latter, is able to discriminate patients with worse prognosis in terms of length of hospital stay and discharge destination (AUC-ROC = 0.64, p 0.015). These results improve when they are carried out with the automatic tool (area AUC-ROC = 0.73, p 0.023), especially when normalised by height and eliminating patients who associate overflow. According to our results, the US could be considered as a valuable alternative for the quantitative assessment of muscle mass when CT is not feasible. These measurements are improved when measuring software is applied, such as "Bat" software.