Abstract #3744

Habitat Analysis of Multi-parametric MRI for Predicting Postoperative Recurrence of Meningioma

Chengxiu Zhang¹, Yang Song², Lin Lin³, Rufei Zhang³, Minxiong Zhou⁴, Xu Yan², and Guang Yang¹

¹Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, ²MR Scientific Marketing, Siemens Healthineers, Shanghai, China, ³Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China, ⁴Shanghai University of Medicine & Health Sciences, Shanghai, China

Synopsis

We used multi-parametric MRI to predict the postoperative recurrence of meningioma. Compared to the usual radiomics on analyzing the whole tumor, we used an unsupervised clustering method to explore the tumor habitats. Interpretable features were extracted from subregions of the lesion and used to build a habitat radiomic model. The habitat model achieved an AUC of 0.711 compared with 0.569 achieved by whole tumor analysis. The split subregions of the tumor also have clear biological meanings to the radiologists.

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