Abstract #1579

Detecting microstructural features in gliomas with differences in malignancy and IDH-1 mutation status with a three-component diffusion model

Mengqiu Cao¹, Xiaoqing Wang², Fang Liu², Ke Xue³, and Yongming Dai³

¹Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, ²Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, ³MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China

Synopsis

Keywords: Tumors, Diffusion/other diffusion imaging techniques

Evaluation of the degree of malignancy of gliomas, including the histopathological and molecular features, is of great importance for neurosurgeons in making individualized operation plans before surgery. In our study, the clinical value of a three-component diffusion model in characterizing gliomas malignancy and IDH-1 mutation status was evaluated. Our results showed that the three-component diffusion model exhibited great potential in evaluating the phenotype and genotype of gliomas by providing more complex microstructural information and showed significantly optimal diagnostic performance than the mono-exponential, bi-exponential and DKI models.

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