Body composition from single versus multi‐slice abdominal computed tomography: Concordance and associations with colorectal cancer survival

Autor: Ijeamaka Anyene, Bette Caan, Grant R. Williams, Karteek Popuri, Leon Lenchik, Smith Giri, Vincent Chow, Mirza Faisal Beg, Elizabeth M. Cespedes Feliciano
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Cachexia, Sarcopenia and Muscle, Vol 13, Iss 6, Pp 2974-2984 (2022)
Druh dokumentu: article
ISSN: 2190-6009
2190-5991
DOI: 10.1002/jcsm.13080
Popis: Abstract Background Computed tomography (CT) scans are routinely obtained in oncology and provide measures of muscle and adipose tissue predictive of morbidity and mortality. Automated segmentation of CT has advanced past single slices to multi‐slice measurements, but the concordance of these approaches and their associations with mortality after cancer diagnosis have not been compared. Methods A total of 2871 patients with colorectal cancer diagnosed during 2012–2017 at Kaiser Permanente Northern California underwent abdominal CT scans as part of routine clinical care from which mid‐L3 cross‐sectional areas and multi‐slice T12–L5 volumes of skeletal muscle (SKM), subcutaneous adipose (SAT), visceral adipose (VAT) and intermuscular adipose (IMAT) tissues were assessed using Data Analysis Facilitation Suite, an automated multi‐slice segmentation platform. To facilitate comparison between single‐slice and multi‐slice measurements, sex‐specific z‐scores were calculated. Pearson correlation coefficients and Bland–Altman analysis were used to quantify agreement. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for death adjusting for age, sex, race/ethnicity, height, and tumour site and stage. Results Single‐slice area and multi‐slice abdominal volumes were highly correlated for all tissues (SKM R = 0.92, P
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