Abstract #2495

Spatial Habitats Analysis based on Multiparametric Physiologic MR Imaging Predicts Survival of Patients with Glioblastoma

Mengqiu Cao¹, Liu Fang¹, Xiaoqing Wang¹, Xinyue Liang², Yongming Dai², and Zhou Yan¹

¹Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, ²MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China

Synopsis

Keywords: Tumors, Tumor, glioblastoma

Glioblastoma (GBM) is characterized remarkably high tumors heterogeneity which contribute to its poor survival and effective therapies. We build the spatial habitats based on multiparametric physiologic MRI (diffusion-weighted and perfusion-weighted MRI) to describe the intratumoral heterogeneity of gliomas and explore the possibility of the link between theses habitats and progression-free survival (PFS). This shows the spatial correspondence with molecular histological features and MRI images. This also provide valuable information to identify tumor progression areas that may require biopsy and potential treatment resistance subregions which tend to be the target areas of treatment.

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