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ABSTRACT: Background
Nutritional indicators play an important role in predicting the prognosis of digestive system cancers. Measures of adipose tissue distribution derived from computed tomography (CT), such as subcutaneous fat volume, are promising for assessing systemic inflammation and nutritional status. However, their integration into standardized prognostic models is still limited. This study aimed to increase the performance of the Cox regression model (Coxm) by adding the third lumbar vertebra centroid level subcutaneous fat volume (L3 CLSFV) and to assess its influence on prognostic prediction model.Methods
We constructed two Cox regression models, Coxm1 and Coxm2, using clinical features and nutritional indicators from the training cohort of patients with digestive system c
SUBMITTER: Zheng L
PROVIDER: S-EPMC12780588 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature