Dual-energy CT quantitative parameters combined with CT features for predicting perineural invasion of colorectal adenocarcinoma
10.13929/j.issn.1003-3289.2023.12.019
- VernacularTitle:双能CT定量参数联合CT特征预测结直肠腺癌周围神经浸润
- Author:
Doudou HUANG
1
;
Junfan CHEN
;
Xin WEI
;
Yindeng LUO
;
Xinjie LIU
Author Information
1. 重庆医科大学附属第二医院放射科,重庆 400010
- Keywords:
colorectal neoplasms;
spectral imaging;
perineural invasion
- From:
Chinese Journal of Medical Imaging Technology
2023;39(12):1827-1832
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of dual-energy CT quantitative parameters combined with CT features for predicting perineural invasion(PNI)of colorectal adenocarcinoma.Methods Preoperative whole-abdominal CT data of 79 patients with colorectal adenocarcinoma confirmed by postoperative pathology were retrospectively analyzed.The patients were divided into PNI group(n=31)or no PNI group(n=48).Univariate analysis was used to compare CT features and dual-energy CT quantitative parameters between groups,and the variables with significant differences were included in binary logistic regression analysis to construct a combined model.Receiver operating characteristic(ROC)curves were drawn and area under the curve(AUC)were calculated,the efficacy of single CT parameters and combined model for predicting PNI of colorectal adenocarcinoma were evaluated.Results There were significant differences of the location of the primary lesion,the maximum thickness of the diseased intestinal wall,the presence or absence of peritumoral lymph node metastases,peritumoral mesenteric streak shadow and tumor deposits shown on CT between groups(all P＜0.05).Significant differences of the arterial phase slope of energy spectrum curve(λHU),iodine concentration(IC),normalized IC(NIC),dual energy index and the venous phase NIC of dual energy index were found between groups(all P＜0.05).AUC of the above single parameters for predicting PNI of colorectal adenocarcinoma ranged from 0.615 to 0.698,while of the combined model was 0.864.Conclusion Dual-energy CT quantitative parameters combined with CT features could be used to effectively predict PNI of colorectal adenocarcinoma.
