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Abstract #2549

DCE-MRI-based radiomics model explained by SHAP method for predicting CDKN2A/B homozygous deletion in IDH-mutant Astrocytomas

Huiquan Yang1, Zhengyang Zhu1, Hongyang Lin2, Xin Zhang1, and Bing Zhang1
1Nanjing Drum Dower Hospital, Nanjing, China, 2National Taiwan Normal University, Taibei, China

Synopsis

Keywords: Tumors (Pre-Treatment), Radiomics

Motivation: Cyclin-dependent kinase inhibitor (CDKN) 2A/B homozygous deletion holds an important value in the prognostic analysis of IDH-mutant astrocytomas.

Goal(s): This study aimed to develop a radiomics model based on dynamic contrast-enhanced (DCE) MRI parameter maps for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytomas.

Approach: Radiomic features extracted by Pyradiomics, and selected by independent samples t-test and LASSO algorithm. Prediction models were constructed by support vector machine, and explained by Shapley Additive exPlanations method.

Results: The radiomics model based on mixed features from all DCE parameter maps exhibited AUC of 0.957 and 0.924 in the training set and validation set, respectively.

Impact: Our study proved that the DCE-MRI-based radiomics model has excellent ability to predict CDKN2A/B homozygous deletion status in IDH-mutant astrocytomas.

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