Multiparameter body composition analysis on chest CT predicts clinical outcomes in resectable non-small cell lung cancer.

ABSTRACT:

Objectives

This study investigates the association between baseline CT body composition parameters and clinical outcomes in patients with resectable non-small cell lung cancer (NSCLC).

Methods

Patients who underwent surgical resection for NSCLC between January 2006 and December 2017 were retrospectively enrolled in this multicenter study. Body composition metrics, including the area of skeletal muscle, intermuscular adipose tissue, subcutaneous adipose tissue, visceral adipose tissue, muscle radiodensity, and derivative parameters from five basic metrics mentioned before, were calculated based on preoperative non-contrast-enhanced chest CT images at L1 level. The Cox proportional hazards regression analysis was used to evaluate the association between body composition metric

SUBMITTER: Huang Y 

PROVIDER: S-EPMC11803022 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature