Intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma
10.13929/j.issn.1003-3289.2025.04.013
- VernacularTitle:术中超声影像组学预测高级别脑胶质瘤异柠檬酸脱氢酶1(IDH1)突变
- Author:
Huiyu MA
1
;
Wei ZHANG
;
Chao HOU
;
Linggang CHENG
;
Wenkai ZHANG
;
Lizhi YANG
;
Wen HE
Author Information
1. 首都医科大学附属北京天坛医院超声科,北京 100070
- Publication Type:Journal Article
- Keywords:
glioma;
ultrasonography;
isocitrate dehydrogenase;
radiomics
- From:
Chinese Journal of Medical Imaging Technology
2025;41(4):569-572
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.
