A nomogram based on metabolic profiling to discriminate lung cancer among patients with lung nodules.

ABSTRACT:

Objective

To develop a nomogram that discriminates lung cancer from benign lung nodules through metabolic profiling.

Methods

This was a retrospective cohort study that recruited 848 participants who were randomized into training and validation sets at a 7:3 ratio. Clinical characteristics and metabolic profiles were retrieved. Variables in the training set with statistically significant differences were selected for further least absolute shrinkage and selection operator (LASSO) regression. The nomogram was built from 13 variables identified by stepwise regression analysis. Receiver operating characteristic, calibration curve, and decision curve analyses were conducted to evaluate the performance of the nomogram by internal validation.

Results

Thirteen variables were

SUBMITTER: Li C 

PROVIDER: S-EPMC10052511 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature