Spectral CT quantitative parameters combined with clinical and CT features for predicting lymphovascular invasion of colorectal cancer
10.13929/j.issn.1003-3289.2025.02.022
- VernacularTitle:光谱CT定量参数联合临床及CT特征预测结直肠癌侵犯脉管
- Author:
Pengqiang LI
1
;
Nianjun LIU
;
Xiaoyue ZHANG
;
Yanfei WANG
;
Jinhui LAN
;
Huling REN
;
Jing WANG
;
Yu DOU
;
Junqiang LEI
Author Information
1. 兰州大学第一临床医学院,甘肃兰州 730000;兰州大学第一医院放射科,甘肃兰州 730000
- Publication Type:Journal Article
- Keywords:
colorectal neoplasms;
tomography,X-ray computed;
lymphovascular invasion
- From:
Chinese Journal of Medical Imaging Technology
2025;41(2):286-290
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of spectral CT quantitative parameters combined with clinical and CT features for predicting lymphovascular invasion(LVI)of colorectal cancer.Methods Clinical,pathological and preoperative abdominal spectral CT data of 98 colorectal cancer patients were retrospectively analyzed.According to pathological results,the patients were divided into LVI group(n=36)and non-LVI group(n=62).Univariate and multivariate logistic regression were used to compared clinical,pathological,conventional CT manifestations and spectral CT quantitative parameters between groups to screen independent predictors for LVI of colorectal cancer,and then a regression model was constructed.Receiver operating characteristic(ROC)curves were drawn,and the area under the curves(AUC)were calculated to evaluate the predictive efficacy of each single independent predictor and regression model for predicting LVI of colorectal cancer.Results Serum carbohydrate antigen 724,CT showed periintestinal fat infiltration and effective atomic number(Zeff)at venous phase were all independent predictors of LVI of colorectal cancer(OR=4.723,7.301 and 18.912,all P＜0.05).AUC of the above independent predictors was 0.582,0.723 and 0.691,respectively,while of the regression model was 0.837.Conclusion Spectral CT quantitative parameters combined with clinical and CT features could effectively predict LVI of colorectal cancer.
