Value of intratumor and peritumor imaging radiomics features in predicting efficacy of radiotherapy for hepatocellular carcinoma
10.19745/j.1003-8868.2025200
- VernacularTitle:瘤内和瘤周影像组学特征在预测肝细胞癌放疗疗效中的应用价值
- Author:
Xing-yu DU
1
;
Jin-kai LI
1
;
Yuan-yuan TANG
1
;
Xiao-yan XU
1
;
Xi-Sheng LIU
1
Author Information
1. 江苏省人民医院,南京医科大学第一附属医院,南京 210029
- Publication Type:Journal Article
- Keywords:
radiomics;
peritumor;
intratumor;
hepatocellular carcinoma;
primary hepatic carcinoma;
intensity-modulated radiation therapy;
therapeutic efficacy prediction
- From:
Chinese Medical Equipment Journal
2025;46(11):50-56
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop a fused model based on combined intratumor-peritumor radiomics features and clinical risk factors to accurately predict the efficacy of radiotherapy for hepatocellular carcinoma(HCC).Methods A retrospective study was conducted on 124 HCC patients(95 males and 29 females)undergoing IMRT at the radiotherapy center of some hospital,who were divided into a training set and a validation set in a 7∶3 ratio.According to relevant standards for evaluating solid tumor treatment efficacy the patients at the progressive disease phase were enrolled into a non-response group,and the ones at the phases of complete response,partial response and stable disease were included into a response group.Firstly,radiomics features were extracted from pre-radiotherapy contrast-enhanced CT images,and were screened with the least absolute shrinkage and selection operator(LASSO)regression to obtain valuable radiomics features;secondly,the scores of intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features underwent binary Logistic regression(LR)analysis by using the glmnet package in R software(version 4.2.0),so as to construct three models for intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features;finally,a fused model was established based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors,and the corresponding Nomogram,calibration curve and clinical decision curve were plotted.R software(version 4.4.1)was used for image analysis and statistical analysis.Results The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors achieved an AUC of 0.87 on both the training and validation sets,outperforming the models based solely on intratumor radiomics features,peritumor radiomics features or combined intratumor-peritumor radiomics features.The Nomogram plot showed the prediction probability of the fused model for the short-term treatment response rate was 10%-90%within the total score range of 42-93 points,and the calibration and clinical decision curves indicated that the fused model gained advantages in prediction and clinical application.Conclusion The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors predicts the short-term efficacy of HCC radiotherapy effectively,providing references for formulating radiotherapy plans and guiding subsequent treatment decisions.
