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The value of contrast enhanced MRI radiomics in predicting the IDH 1 genotype in high-grade gliomas / 中华放射学杂志
Chinese Journal of Radiology ; (12): 445-449, 2020.
Article in Chinese | WPRIM | ID: wpr-868297
ABSTRACT

Objective:

To explore the predictive value of a radiomics model based on preoperative contrast enhanced MRI in the assessment of the isocitrate dedydrogenase 1 (IDH 1) genotype in high-grade glioma.

Methods:

A retrospective analysis was performed on a dataset including 182 patients with high-grade glioma confirmed by surgical pathology between December 2012 and January 2018 in the Affiliated Hospital of Qingdao University. There were 79 patients with IDH1-mutant glioma (45 cases with WHO grade Ⅲ, 34 with WHO grade Ⅳ) and 103 with IDH 1 wild-type glioma (33 cases with WHO grade Ⅲ, 70 cases with WHO grade Ⅳ). All patients had complete preoperative brain contrast enhanced MRI.The cases were divided into a training dataset and a validation dataset at a ratio of 7∶3 using stratified random sampling. Radiomic features were initially extracted using A.K (Analysis Kit, GE healthcare) software, and were selected and excluded using Kruskal-Wallis and Spearman analyses. Using R softwear " GLM" function, the Lasso-logistic model was finally conducted to obtain the optimized subset of the feature to build the radiomics model, and the model was then tested with cross-validation. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the performance of the model in differentiating IDH1-mutant type and wild-type gliomas.

Results:

The radiomics model showed good performance in IDH genotype differentiation in both the training dataset (AUC 0.870, 95% CI 0.754 to 0.855, accuracy rate 79.8%, sensitivity 85.5%, specificity 75.4%, positive predictive value 0.734, negative predictive value 0.867) and the validation dataset (AUC 0.860, 95% CI 0.690 to 0.913, accuracy rate 78.9%, sensitivity 91.3%, specificity 69.0%, positive predictive value 0.700, negative predictive value 0.909).

Conclusion:

The radiomics model based on the preoperative enhanced MR can provide a way to predict the IDH1 genotype in high-grade gliomas.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Radiology Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Radiology Year: 2020 Type: Article