The contrast-enhanced T1WI radiomics for predicting pathological grade in rectal adenocarcinoma
10.3969/j.issn.1002-1671.2024.08.015
- VernacularTitle:基于增强T1WI影像组学预测直肠腺癌病理分级
- Author:
Boquan WANG
1
;
Xiaofang GUO
;
Feng XIAO
;
Tingting NIE
;
Zilong YUAN
;
Yulin LIU
Author Information
1. 湖北省肿瘤医院放射科,湖北 武汉 430079
- Keywords:
magnetic resonance imaging;
radiomics;
rectal adenocarcinoma;
pathological grade
- From:
Journal of Practical Radiology
2024;40(8):1286-1290
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the feasibility of using contrast-enhanced T1WI radiomics in predicting the pathological grade in rectal adenocarcinoma.Methods The MRI and pathological data of 127 patients with rectal adenocarcinoma were analyzed retrospectively.ITK-SNAP software was used to manually draw region of interest(ROI)in rectal cancer on axial T,WI enhanced images.The radiomics features were extracted by the Pyradiomics software from ROI.The task was divided into two parts:task 1("high & non-high"group)predicted the high-differentiation and moderate/low-differentiation of the tumor;task 2("moderate & low"group)predicted the tumor's moderate-differentiation and low-differentiation in"non-high"group.Maximum relevance and minimum redundancy(mRMR)method was used to screen features.The five methods including least absolute shrinkage and selection operator(LASSO),logistic regression(LR),naive Bayes(NB),random forest(RF),and support vector machine(SVM)were used to build the models,and the efficiency of each model was evaluated and compared.Results In task 1,the area under the curve(AUC)of five methods were 0.86,0.90,0.59,1.00,0.99 in the training cohort and 0.71,0.62,0.53,0.67,0.64 in the testing cohort.In task 2,the AUC of five methods in the training cohort were 0.93,0.85,0.67,0.92,0.89,and in the testing cohort were 0.86,0.80,0.50,0.78,0.71.The models constructed by LASSO in both tasks were the dominant models,the AUC of the fusion model in the testing cohort which combined with age,gender and the dominant Radiomics score(Radscore)was 0.80[95％confidence interval(CI)0.63-0.96]in task 1,and the accuracy,sensitivity and specificity were 78.94％,77.78％,and 79.31％respectively.They were 0.89(95％CI 0.74-1.00),90.00％,95.65％,and 71.43％,respectively in task 2.The calibration curves showed that the fusion models had a good goodness of fit.Conclusion Based on the establishment of two dichotomous models,the radiomics based on the contrast-enhanced T1 WI is feasible in predicting the high,moderate and low differentiation degree of rectal adenocarcinoma.
