Abstract
Purpose: To evaluate the feasibility of a simplified method based on diffusion-weighted imaging (DWI) acquired with three b-values to measure tissue perfusion linked to microcirculation, to validate it against from perfusion-related parameters derived from intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced (DCE) magnetic resonance (MR) imaging, and to investigate its utility to differentiate low- from high-grade gliomas.Materials and Methods: The prospective study was approved by the local institutional review board and written informed consent was obtained from all patients. From May 2016 and May 2017, 50 patients confirmed with glioma were assessed with multi-b-value DWI and DCE MR imaging at 3.0 T. Besides conventional apparent diffusion coefficient (ADC0,1000) map, perfusion-related parametric maps for IVIM-derived perfusion fraction (f) and pseudodiffusion coefficient (D*), DCE MR imaging-derived pharmacokinetic metrics, including Ktrans, ve and vp, as well as a metric named simplified perfusion fraction (SPF), were generated. Correlation between perfusion-related parameters was analyzed by using the Spearman rank correlation. All imaging parameters were compared between the low-grade (n = 19) and high-grade (n = 31) groups by using the Mann-Whitney U test. The diagnostic performance for tumor grading was evaluated with receiver operating characteristic (ROC) analysis.Results: SPF showed strong correlation with IVIM-derived f and D* (ρ = 0.732 and 0.716, respectively; both P < 0.001). Compared with f, SPF was more correlated with DCE MR imaging-derived Ktrans (ρ = 0.607; P < 0.001) and vp (ρ = 0.397; P = 0.004). Among all parameters, SPF achieved the highest accuracy for differentiating low- from high-grade gliomas, with an area under the ROC curve value of 0.942, which was significantly higher than that of ADC0,1000 (P = 0.004). By using SPF as a discriminative index, the diagnostic sensitivity and specificity were 87.1% and 94.7%, respectively, at the optimal cut-off value of 19.26%.Conclusion: The simplified method to measure tissue perfusion based on DWI by using three b-values may be helpful to differentiate low- from high-grade gliomas. SPF may serve as a valuable alternative to measure tumor perfusion in gliomas in a noninvasive, convenient and efficient way.
Highlights
Cerebral gliomas are the most common type of primary malignant brain tumors and have a poor survival rate compared with other tumor types (Kelly, 2010)
simplified perfusion fraction (SPF) was more correlated with Dynamic contrastenhanced (DCE) magnetic resonance (MR) imaging-derived Ktrans (ρ = 0.607; P < 0.001) and vp (ρ = 0.397; P = 0.004)
The simplified method to measure tissue perfusion based on Diffusion-weighted imaging (DWI) by using three b-values may be helpful to differentiate low- from high-grade gliomas
Summary
Cerebral gliomas are the most common type of primary malignant brain tumors and have a poor survival rate compared with other tumor types (Kelly, 2010). Diffusion-weighted imaging (DWI), which derives its image contrast from differences in the motion of water molecules within tissues, is a noninvasive and endogenouscontrast imaging technique that has proven useful for tumor characterization and treatment response evaluation (Le Bihan, 1991; Koh and Collins, 2007). It has been recognized that ADC value calculated by a monoexponential model is affected by tissue diffusion and microcirculation in capillary network (Le Bihan et al, 1988; Koh et al, 2011). Tissue ADC values are often higher than expected, which is attributed to the perfusion effect from microcirculation (Le Bihan et al, 1988; Koh et al, 2011)
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