Prediction of the short-term efficacy of uterine artery embolization for the treatment of uterus adenomyosis based on MR T2 weighted imaging radiomics:a preliminary study
10.3969/j.issn.1008-794X.2025.11.005
- VernacularTitle:基于MR T2加权成像影像组学预测子宫动脉栓塞术治疗子宫腺肌病中近期效果初步研究
- Author:
Bing LI
1
;
Dongcun YUAN
Author Information
1. 230001 安徽合肥 安徽省妇女儿童医学中心放射介入科
- Keywords:
adenomyosis;
uterine arterial embolization;
curative effect prediction;
MR T2 weighted imaging radiomics
- From:
Journal of Interventional Radiology
2025;34(11):1191-1196
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the clinical value of preoperative MR T2 weighted imaging(T2WI)radiomics in predicting the short-term efficacy of uterine artery embolization(UAE)for the treatment of uterus adenomyosis.Methods The clinical data of 140 patients with uterus adenomyosis,who received initial UAE treatment,were retrospectively analyzed.Pelvic MRI examination was performed within one week before treatment,and the patients were followed up with pelvic MRI at 6 months and 12 months after treatment.The efficacy of UAE was evaluated according to the criteria for remission of adenomyosis.Using stratified sampling,patients were divided into a training group(n=98)and a testing group(n=42)at a 7∶3 ratio.According to the treatment response,patients were divided into an effective group(n=101)and an ineffective group(n=39).ITK-SNAP software was used to delineate the lesion area on preoperative MR T2WI and the radiomics features were extracted.Using univariate analysis,the minimum absolute shrinkage and selection operator regression method to screen out the radiomics features and to establish an radiomics model.By using receiver operating characteristic(ROC)curve the predictive efficacy of radiomics model for ineffective treatment of adenomyosis after UAE was evaluated,and the area under the curve(AUC)was calculated.Decision curve analysis was adopted to evaluate the clinical practical value of the model.Results Nine most valuable radiomics features were enrolled in the predictive model.The AUC of the radiomics model for predicting ineffective treatment after UAE in patients with uterus adenomyosis was 0.838(95％CI:0.751-0.924)in the training group and 0.817(95％CI:0.677-0.954)in the testing group.Decision curve analysis showed that the radiomics model had a high clinical net benefit.Conclusion The model constructed based on MR T2WI radiomics can effectively predict the short-term effect of UAE treatment for adenomyosis,which helps to identify the risk of ineffective treatment early,and the treatment strategy can be timely adjusted.
