title: Intravoxel incoherent motion diffusion-weighted MR imaging of gliomas: efficacy in preoperative grading.
abstract: The preoperative grading of gliomas, which is critical for guiding therapeutic strategies, remains unsatisfactory. We aimed to retrospectively assess the efficacy of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in the grading of gliomas. Forty-two newly diagnosed glioma patients underwent conventional MR imaging, DWI, and contrast-enhanced MR imaging. Parameters of apparent diffusion coefficient (ADC), slow diffusion coefficient (D), fast diffusion coefficient (D*), and fraction of fast ADC (f) were generated. They were tested for differences between low- and high-grade gliomas based on one-way ANOVA. Receiver-operating characteristic (ROC) analyses were conducted to determine the optimal thresholds as well as the sensitivity and specificity for grading. ADC, D, and f were higher in the low-grade gliomas, whereas D* tended to be lower (all P<0.05). The AUC, sensitivity, specificity and the cutoff value, respectively, for differentiating low- from high-grade gliomas for ADC, D and f, and differentiating high- from low-grade gliomas for D* were as follows: ADC, 0.926, 100%, 82.8%, and 0.7 × 10(-3) mm(2)/sec; D, 0.942, 92.3%, 86.2%, and 0.623 × 10(-3) mm(2)/sec; f, 0.902, 92.3%, 86.2%, and 35.3%; D*, 0.798, 79.3%, 84.6%, and 0.303 × 10(-3) mm(2)/sec. The IVIM DWI demonstrates efficacy in differentiating the low- from high-grade gliomas.
authors.affiliation: Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, P.R. China.
authors.forename: Yu-Chuan
authors.initials: YC
authors.lastname: Hu
authors.affiliation: Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, P.R. China.
authors.forename: Lin-Feng
authors.initials: LF
authors.lastname: Yan
authors.affiliation: Center for Clinical and Translational Science, Mayo Clinic, Rochester, Minnesota, USA.
authors.forename: Lang
authors.initials: L
authors.lastname: Wu
authors.affiliation: Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, P.R. China.
authors.forename: Pang
authors.initials: P
authors.lastname: Du
authors.affiliation: Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, P.R. China.
authors.forename: Bao-Ying
authors.initials: BY
authors.lastname: Chen
authors.affiliation: Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shanxi, P.R. China.
authors.forename: Liang
authors.initials: L
authors.lastname: Wang
authors.affiliation: Department of Pathology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shanxi, P.R. China.
authors.forename: Shu-Mei
authors.initials: SM
authors.lastname: Wang
authors.affiliation: Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, P.R. China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Han
authors.affiliation: Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, P.R. China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Tian
authors.affiliation: Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, P.R. China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Yu
authors.affiliation: MR Research China, GE healthcare Greater China, Beijing, China.
authors.forename: Tian-Yong
authors.initials: TY
authors.lastname: Xu
authors.affiliation: Department of Anatomy &K.K. Leung Brain Research Centre, Fourth Military Medical University, Xi'an, Shaanxi, PR China.
authors.forename: Wen
authors.initials: W
authors.lastname: Wang
authors.affiliation: Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, P.R. China.
authors.forename: Guang-Bin
authors.initials: GB
authors.lastname: Cui
mesh_terms: D000328:Adult; D000368:Aged; D016477:Artifacts; D001932:Brain Neoplasms / Q000473:pathology* / Q000601:surgery; D005260:Female; D005910:Glioma / Q000473:pathology* / Q000601:surgery; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009038:Motion; D060787:Neoplasm Grading; D011300:Preoperative Care / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D055815:Young Adult