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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