Dual-energy CT combined with histogram parameters in the assessment of perineural invasion in colorectal cancer.

ABSTRACT:

Purpose

The purpose is to evaluate the predictive value of dual-energy CT (DECT) combined with histogram parameters and a clinical prediction model for perineural invasion (PNI) in colorectal cancer (CRC).

Methods

We retrospectively analyzed clinical and imaging data from 173 CRC patients who underwent preoperative DECT-enhanced scanning at two centers. Data from Qinghai University Affiliated Hospital (n = 120) were randomly divided into training and validation sets, while data from Lanzhou University Second Hospital (n = 53) served as the external validation set. Regions of interest (ROIs) were delineated to extract spectral and histogram parameters, and multivariate logistic regression identified optimal predictors. Six machine learning models-support vector machine (SVM),

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12116712 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature