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Prognostic value of computed tomography‐based volumetric body composition analysis in patients with head and neck cancer: Feasibility study
Author(s) -
Choi Yangsean,
Ahn KookJin,
Jang Jinhee,
Shin NaYoung,
Jung SoLyung,
Kim Bumsoo,
Kim MinSik,
Kim YeonSil
Publication year - 2020
Publication title -
head and neck
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.012
H-Index - 127
eISSN - 1097-0347
pISSN - 1043-3074
DOI - 10.1002/hed.26310
Subject(s) - medicine , head and neck cancer , hazard ratio , proportional hazards model , multivariate analysis , computed tomography , nuclear medicine , retrospective cohort study , radiation therapy , radiology , confidence interval
Abstract Background This study aimed to evaluate whether computed tomography (CT)‐based volumetric body composition analysis has prognostic value in head and neck cancer (HNC) patients. Methods This single‐center retrospective study included 79 patients with HNC treated with definitive radiotherapy from March 2009 to December 2018. The patients were assessed for (a) weight‐based variables and (b) pretreatment and posttreatment CT‐based body composition variables. Overall survival (OS) and recurrence‐free survival (RFS) analyses were conducted using Cox proportional hazards analyses. Results Depletion of cervical skeletal muscle volume on presentation was associated with poor OS (hazard ratio [HR] = 3.1; 95% CI = 1.2‐7.8; P = .016). Low fat proportions before and after treatment were associated with poor OS (HR = 2.5‐3.5; 95% CI = 1.3‐9.3; P = .013‐.026). In multivariate Cox analysis, increased posttreatment fat attenuation demonstrated the greatest prognostic value for both OS (HR = 4.7; 95% CI = 2.2‐10.3; P < .001) and RFS (HR = 4.3; 95% CI = 2.0‐9.5; P < .001). Conclusions CT‐based body composition analysis has the potential for risk assessment in patients with HNC.