title: Comparison of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging and Arterial Spin Labeling MR Imaging in Gliomas.
abstract: Gliomas grading is important for treatment plan; we aimed to investigate the application of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in gliomas grading, by comparing with the three-dimensional pseudocontinuous arterial spin labeling (3D pCASL). 24 patients (13 high grade gliomas and 11 low grade gliomas) underwent IVIM DWI and 3D pCASL imaging before operation; maps of fast diffusion coefficient (D (∗)), slow diffusion coefficient (D), fractional perfusion-related volume (f), and apparent diffusion coefficient (ADC) as well as cerebral blood flow (CBF) were calculated and then coregistered to generate the corresponding parameter values. We found CBF and D (∗) were higher in the high grade gliomas, whereas ADC, D, and f were lower (all P < 0.05). In differentiating the high from low grade gliomas, the maximum areas under the curves (AUC) of D (∗), CBF, and ADC were 0.857, 0.85, and 0.902, respectively. CBF was negatively correlated with f in tumor (r = -0.619, P = 0.001). ADC was positively correlated with D in both tumor and white matter (r = 0.887, P = 0.000 and r = 0.824, P = 0.000, resp.). There was no correlation between CBF and D (∗) in both tumor and white matter (P > 0.05). IVIM DWI showed more efficiency than 3D pCASL but less validity than conventional DWI in differentiating the high from low grade gliomas.
authors.affiliation: Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China ; School of Medical Imaging, Xuzhou Medical College, Xuzhou 221000, China.
authors.forename: Yuankai
authors.identifier: 0000-0002-4925-8075
authors.initials: Y
authors.lastname: Lin
authors.affiliation: Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
authors.forename: Jianrui
authors.identifier: 0000-0003-4548-8102
authors.initials: J
authors.lastname: Li
authors.affiliation: Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
authors.forename: Qiang
authors.identifier: 0000-0002-7739-7515
authors.initials: Q
authors.lastname: Xu
authors.affiliation: GE Healthcare China, Beijing 100000, China.
authors.forename: Zhenyu
authors.initials: Z
authors.lastname: Zhou
authors.affiliation: GE Healthcare China, Beijing 100000, China.
authors.forename: Zhongping
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: GE Healthcare China, Beijing 100000, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
authors.forename: Zongjun
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001932:Brain Neoplasms / Q000098:blood supply* / Q000503:physiopathology; D002560:Cerebrovascular Circulation; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D005910:Glioma / Q000098:blood supply* / Q000503:physiopathology; D006801:Humans; D008297:Male; D008875:Middle Aged; D009038:Motion; D060787:Neoplasm Grading; D012372:ROC Curve; D013113:Spin Labels; D066127:White Matter / Q000473:pathology; D055815:Young Adult
chemical_list: D013113:Spin Labels