Preoperative prediction of perineural invasion and lymphovascular invasion with CT radiomics in gastric cancer.

ABSTRACT:

Objectives

To determine whether contrast-enhanced CT radiomics features can preoperatively predict lymphovascular invasion (LVI) and perineural invasion (PNI) in gastric cancer (GC).

Methods

A total of 148 patients were included in the LVI group, and 143 patients were included in the PNI group. Three predictive models were constructed, including clinical, radiomics, and combined models. A nomogram was developed with clinical risk factors to predict LVI and PNI status. The predictive performance of the three models was mainly evaluated using the mean area under the curve (AUC). The performance of three predictive models was assessed concerning calibration and clinical usefulness.

Results

In the LVI group, the predictive power of the combined model (AUC=0.871, 0.822) ou

SUBMITTER: He Y 

PROVIDER: S-EPMC10837067 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature