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

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 gliomasApproach: 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.