| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4224835 | European Journal of Radiology | 2016 | 10 Pages |
•In cerebral gliomas, DCE-MRI is able to overcome DSC-MRI shortcomings.•DCE-MRI is as accurate as DSC-MRI for glioma grading.•Hotspot and histogram analyses performed equally for glioma grading.•The combination of DCE-derived Vp and Ktrans improves the diagnostic performance.
IntroductionDynamic susceptibility contrast (DSC)-MRI is a perfusion technique with high diagnostic accuracy for glioma grading, despite limitations due to inherent susceptibility effects. Dynamic contrast-enhanced (DCE)-MRI has been proposed as an alternative technique able to overcome the DSC-MRI shortcomings.This pilot study aimed at comparing the diagnostic accuracy of DSC and DCE-MRI for glioma grading by evaluating two estimates of blood volume, the DCE-derived plasma volume (Vp) and the DSC-derived relative cerebral blood volume (rCBV), and a measure of vessel permeability, the DCE-derived volume transfer constant Ktrans.MethodsTwenty-six newly diagnosed glioma patients underwent 3T-MR DCE and DSC imaging. Parametric maps of CBV, Vp and Ktrans were calculated and the region of highest value (hotspot) was measured on each map. Histograms of rCBV, Vp and Ktrans values were calculated for the tumor volume. Statistical differences according to WHO grade were assessed. The diagnostic accuracy for tumor grading of the two techniques was determined by ROC analysis.ResultsrCBV, Vp and Ktrans measures differed significantly between high and low-grade gliomas. Hotspot analysis showed the highest correlation with grading. Ktrans hotspots co-localized with Vp hotspots only in 56% of enhancing gliomas. For differentiating high from low-grade gliomas the AUC was 0.987 for rCBVmax, and 1.000 for Vpmax and Ktransmax. Combination of DCE-derived Vp and Ktrans parameters improved the diagnostic performance of the histogram method.ConclusionThis initial experience of DCE-derived Vp evaluation shows that this parameter is as accurate as the well-established DSC-derived rCBV for glioma grading. DCE-derived Ktrans is equally useful for grading, providing different informations with respect to Vp.
