新医学2025，Vol.56Issue(9)：833-841,9.DOI:10.12464/j.issn.0253-9802.2025-0098
常规MRI影像组学在预测胶质瘤IDH分型中的应用
Application of conventional MRI radiomics in predicting glioma IDH classification
摘要
Abstract
Objective To construct a model using radiomics to predict the mutation status of isocitrate dehydrogenase(IDH)in gliomas.Methods A retrospective analysis was conducted on preoperative magnetic resonance imaging(MRI)images of 336 glioma patients,and imaging features were extracted to construct an radiomics model.Receiver operating characteristic curve was used to evaluate the effectiveness of the model in predicting IDH mutation status.Results The radiomics features of each sequence were compressed and selected,of which 26 radiomics features were obtained from T1WI,24 radiomics features were obtained from T2WI,12 radiomics features were obtained from enhanced T1WI,and 27 radiomics features were obtained from the three sequences combined.In the single sequence model,the area under the curve(AUC)of T1WI was 0.780(95％CI 0.724-0.836)in the training set and 0.763(95％CI 0.650-0.876)in the test set.The AUC of T2WI was 0.790(95％CI 0.736-0.845)in training group and 0.785(95％CI 0.677-0.893)in test group.The AUC of enhanced T1WI was 0.815(95％CI 0.762-0.867)in the training group and 0.810(95％CI 0.702-0.918)in the test group.The radiomics model based on three sequences(T1WI,T2WI and enhanced T1WI)combined had the best prediction performance.The area under the curve of the training group was 0.877(95％CI 0.837-0.917),and the area under the curve of the test group was 0.862(95％CI 0.773-0.952).Conclusion The radiomics feature model based on conventional MRI can effectively predict the IDH genotype of gliomas,thereby further guiding clinical diagnosis and treatment,and evaluating patient prognosis.关键词
磁共振成像/影像组学/异柠檬酸脱氢酶/胶质瘤Key words
Magnetic resonance imaging/Radiomics/Isocitrate dehydrogenase/Glioma引用本文复制引用
胡文鐘,康晓伟,李艳,吴旭莎,印弘,李陈,席一斌..常规MRI影像组学在预测胶质瘤IDH分型中的应用[J].新医学,2025,56(9):833-841,9.基金项目
国家自然科学基金面上项目(82371936) （82371936）
陕西省自然科学基础研究重点项目(2023-JC-ZD-58) （2023-JC-ZD-58）
2024年西安英才计划菁英创新人才项目(XAYC240062) （XAYC240062）
