Preoperative prediction of KRAS mutation status in colorectal cancer using a CT-based radiomics nomogram.

ABSTRACT:

Objective

This study aimed to develop a model to predict KRAS mutations in colorectal cancer according to radiomic signatures based on CT and clinical risk factors.

Methods

This retrospective study included 172 patients with colorectal cancer. All patients were randomized at a 7:3 ratio into a training cohort (n = 121, 38.8% positive for KRAS mutation) and a validation cohort (n = 51, 39.2% positive for KRAS mutation). Radiomics features were extracted from single-slice and full-volume regions of interest on the portal-venous CT images. The least absolute shrinkage and selection operator (LASSO) algorithm was adopted to construct a radiomics signature, and logistic regression was applied to select the significant variables to develop the clinical-radiomics mode

SUBMITTER: Xue T 

PROVIDER: S-EPMC10996413 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature