[Quantitative evaluation of intravoxel incoherent motion diffusion-weighted imaging and three-dimensional arterial spin labeling in Ki-67 labeling index and grading of brain gliomas].

To investigate the value of multiple parameters derived from intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and three-dimensional arterial spin labeling (3D-ASL) in Ki-67 labeling index (Ki-67 LI) and grading of human brain gliomas. From December 2015 to May 2018, 45 patients of gliomas confirmed by surgical pathology in Li Huili Hospital, Ningbo Medical Center were divided into low-grade group (20 cases of WHO grade Ⅱ) and high-grade group (12 cases of WHO grade Ⅲ, 13 cases of WHO grade Ⅳ), and the Ki-67 LI of glioma was obtained by immunohistochemistry. All patients, 24 males and 21 females, aged 25-83 years, mean(53±12)years, underwent conventional magnetic resonance imaging (MRI), IVIM-DWI and 3D-ASL before operation, then measured the true water diffusion coefficient (D), microcirculation perfusion coefficient (D()), perfusion fraction (f) and cerebral blood flow (CBF) in the tumor solid area and the contralateral normal white matter area. Those parameters and the Ki-67 LI were compared between the low-and high-grade groups with test. correlation was used to analyze the correlation between the quantitative parameters and Ki-67 LI. The ROC curve was used to assess the diagnostic efficacy of parameters in the grading assessment of brain gliomas. The D(0.791×10(-3)mm(2)/s) and f (0.261) of the high-grade group were lower than those of the low-grade group, whereas D() (4.153×10(-3) mm(2)/s), CBF(102.027 ml·min(-1)·100 g(-1)) and Ki-67 LI (0.25) were higher (0.05). There was a moderate negative correlation between D, f and Ki-67 LI(-0.513,-0.457, all 0.05). There was no significant correlation between D() and Ki-67 LI (0.571). The area under the curve (AUC) for identifying high-and low-grade gliomas by D, D(), f and CBF values was 0.965, 0.745, 0.842, and 0.830 respectively (all 0.05). D and f can be used for quantitative prediction of Ki-67 LI. IVIM-DWI and 3D-ASL are helpful in the grading assessment of gliomas, and the diagnostic efficiency of D is the highest.