A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer.

ABSTRACT:

Background

Accurate lymph node metastasis (LNM) prediction in colorectal cancer (CRC) patients is of great significance for treatment decision making and prognostic evaluation. We aimed to develop and validate a clinical-radiomics nomogram for the individual preoperative prediction of LNM in CRC patients.

Methods

We enrolled 766 patients (458 in the training set and 308 in the validation set) with clinicopathologically confirmed CRC. We included nine significant clinical risk factors (age, sex, preoperative carbohydrate antigen 19-9 (CA19-9) level, preoperative carcinoembryonic antigen (CEA) level, tumor size, tumor location, histotype, differentiation and M stage) to build the clinical model. We used analysis of variance (ANOVA), relief and recursive feature elimination (RF

SUBMITTER: Li M 

PROVIDER: S-EPMC6993349 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature