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Abstract #3581

Triexponential multi-b-value diffusion-weighted imaging metrics may detect WHO grade and key molecular markers in glioma patients

Zhengyang Zhu1, Jianan Zhou1, Zengping Lin2, Jianmin Yuan2, Huiquan Yang1, Chuanshuai Tian1, Xin Zhang1, and Bing Zhang1
1Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, 2Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China, Shanghai, China

Synopsis

Keywords: Tumors (Pre-Treatment), Brain, Ki67, IDH, Glioma

Motivation: WHO grade, Ki67 and IDH mutation are important for management and prognosis evaluation in glioma patients.

Goal(s): To investigate the value of Tri-exponential model (TEM) in preidcting WHO grade, Ki67 and IDH mutation of gliomas

Approach: 12 b-value DWI were obtained from glioma patients, TEM, SEM and IVIM model were analyzed for each patient. Univariate and Multivariate Logistic Regression were utilized to construct prediction model.

Results: TEM model achieved highest AUC on WHO Grade prediction task, while IVIM performed better on Ki67 and IDH mutation prediction task.

Impact: This study illustrated the potential of applying TEM model on predicting WHO grade Ki67 and IDH mutation in adult diffuse gliomas.

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Keywords