Multimodal Radiomics Combined with Habitat Analysis for Precise Preoperative Differentiation of WHO Grade I Meningioma Subtypes.
Authors
Affiliations (6)
Affiliations (6)
- Department of Radiology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, China (C.Z., H.W., R.J., P.W.).
- Department of Nuclear Medicine, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, China (H.Z.).
- Department of Research and Development, Chengdu, Sichuan Province, United Imaging Intelligence Co., Ltd Chengdu, China (Y.L.).
- Department of Radiology, Xindu District Hospital of Traditional Chinese Medicine, Chengdu, Sichuan Province, China (H.Y.).
- Department of Radiology, Chinese People's Liberation Army Marine Corps Hospital, Chaozhou, Guangdong Province, China (C.Y.).
- Department of Radiology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, China (C.Z., H.W., R.J., P.W.). Electronic address: [email protected].
Abstract
Preoperative differentiation of World Health Organization (WHO) Grade I meningioma subtypes is clinically needed but limited with conventional magnetic resonance imaging (MRI). A retrospective multicenter cohort of 334 patients (162 fibrous, 91 transitional, 81 meningothelial) was enrolled. T1-weighted contrast-enhanced (T1CE) and T2-weighted (T2WI) MRI were analyzed. Radiomics features were extracted and habitat analysis performed using K-Means clustering. Logistic Regression (LR), Random Forest, and XGBoost models combining radiomics and habitat features were developed and validated in an independent test set (n=67). The optimal combined T1CE+T2WI+habitat model with LR achieved an area under the curve (AUC) of 0.863 (95% CI: 0.763-0.954) and accuracy of 0.716 in the test set, outperforming unimodal radiomics (T1CE LR AUC=0.770), multimodal radiomics (T1CE+T2WI LR AUC=0.823), and habitat-only (LR AUC=0.619) models. Habitat analysis identified distinct imaging subregions corresponding to histological characteristics. Integrating multimodal radiomics and habitat analysis enables accurate noninvasive preoperative discrimination of WHO Grade I meningioma subtypes, providing a valuable tool for neurosurgical decision-making.