4.7 Article

Intravoxel incoherent motion diffusion-weighted imaging analysis of diffusion and microperfusion in grading gliomas and comparison with arterial spin labeling for evaluation of tumor perfusion

期刊

JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 44, 期 3, 页码 620-632

出版社

WILEY
DOI: 10.1002/jmri.25191

关键词

intravoxel incoherent motion (IVIM); arterial spin labeling (ASL); diffusion; perfusion; gliomas

资金

  1. Ministry of Science and Technology of China [2011BAI08B10]
  2. National Natural Science Foundation of China [81171308, 81401389]

向作者/读者索取更多资源

PurposeTo determine the utility of intravoxel incoherent motion (IVIM) imaging in grading gliomas and compare IVIM perfusion metrics with arterial spin labeling (ASL)-derived cerebral blood flow (CBF). Materials and MethodsFifty-two patients with pathologically confirmed gliomas underwent IVIM and ASL imaging at 3.0T. IVIM perfusion-related diffusivity (D*), perfusion fraction (f), product of f and D*(fxD*), true diffusivity (D), and apparent diffusion coefficient (ADC) were obtained to distinguish glioma grades. The CBF derived from pseudocontinuous ASL within the solid tumor was compared and correlated with IVIM perfusion metrics for grading of gliomas. Values were also normalized to the contralateral normal-appearing white matter. Receiver-operating characteristic was performed to determine diagnostic efficiency. The reliability was estimated with intraclass coefficient, coefficient of variance, and Bland-Altman plots. ResultsIVIM perfusion metrics and CBF were significantly higher in the high-grade than the low-grade gliomas (P < 0.001), ADC and D were significantly lower in the high-grade than the low-grade gliomas (P < 0.001). fxD* differed significantly between grades II through IV (P < 0.05 for all). The other metrics showed significant difference between grade II and grade III (P < 0.05 for all). Area under the curve (AUC) was largest for fxD* in distinguishing high-grade from low-grade gliomas (AUC=0.979, P < 0.001) and between grade II and grade III (AUC=0.957, P < 0.001). fxD* improved diagnostic performance of CBF in grading gliomas and showed strong correlation with CBF (r=0.696, P < 0.001). ConclusionIVIM-derived metrics are promising biomarkers in preoperative grading gliomas. IVIM imaging may be an additive method to ASL and ADC for evaluating tumor perfusion and diffusion. J. Magn. Reson. Imaging 2016;44:620-632.

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