A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer.

ABSTRACT: Background: Radiomics refers to the extraction of a large amount of image information from medical images, which can provide decision support for clinicians. In this study, we developed and validated a radiomics-based nomogram to predict the prognosis of colorectal cancer (CRC). Methods: A total of 381 patients with colorectal cancer (primary cohort: n = 242; validation cohort: n = 139) were enrolled and radiomic features were extracted from the vein phase of preoperative computed tomography (CT). The radiomics score was generated by using the least absolute shrinkage and selection operator algorithm (LASSO). A nomogram was constructed by combining the radiomics score with clinicopathological risk factors for predicting the prognosis of CRC patients. The perform

SUBMITTER: Cai D 

PROVIDER: S-EPMC7817969 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature