%0 Journal Article %A T.B. Nguyen %A G.O. Cron %A J.F. Mercier %A C. Foottit %A C.H. Torres %A S. Chakraborty %A J. Woulfe %A G.H. Jansen %A J.M. Caudrelier %A J. Sinclair %A M.J. Hogan %A R.E. Thornhill %A I.G. Cameron %T Diagnostic Accuracy of Dynamic Contrast-Enhanced MR Imaging Using a Phase-Derived Vascular Input Function in the Preoperative Grading of Gliomas %D 2012 %R 10.3174/ajnr.A3012 %J American Journal of Neuroradiology %P 1539-1545 %V 33 %N 8 %X BACKGROUND AND PURPOSE: The accuracy of tumor plasma volume and Ktrans estimates obtained with DCE MR imaging may have inaccuracies introduced by a poor estimation of the VIF. In this study, we evaluated the diagnostic accuracy of a novel technique by using a phase-derived VIF and “bookend” T1 measurements in the preoperative grading of patients with suspected gliomas. MATERIALS AND METHODS: This prospective study included 46 patients with a new pathologically confirmed diagnosis of glioma. Both magnitude and phase images were acquired during DCE MR imaging for estimates of Ktrans_ϕ and Vp_ϕ (calculated from a phase-derived VIF and bookend T1 measurements) as well as Ktrans_SI and Vp_SI (calculated from a magnitude-derived VIF without T1 measurements). RESULTS: Median Ktrans_ϕ values were 0.0041 minutes−1 (95 CI, 0.00062–0.033), 0.031 minutes−1 (0.011–0.150), and 0.088 minutes−1 (0.069–0.110) for grade II, III, and IV gliomas, respectively (P ≤ .05 for each). Median Vp_ϕ values were 0.64 mL/100 g (0.06–1.40), 0.98 mL/100 g (0.34–2.20), and 2.16 mL/100 g (1.8–3.1) with P = .15 between grade II and III gliomas and P = .015 between grade III and IV gliomas. In differentiating low-grade from high-grade gliomas, AUCs for Ktrans_ϕ, Vp_ϕ, Ktrans_SI, and Vp_SI were 0.87 (0.73–1), 0.84 (0.69–0.98), 0.81 (0.59–1), and 0.84 (0.66–0.91). The differences between the AUCs were not statistically significant. CONCLUSIONS: Ktrans_ϕ and Vp_ϕ are parameters that can help in differentiating low-grade from high-grade gliomas. AUCarea under the receiver operating characteristic curveCT(t)tissue contrast concentration curve with timeCIconfidence intervalCVcoefficient of variationDCEdynamic contrast-enhancedKtrans_ϕvolume transfer coefficient obtained from phase-derived vascular input functionKtrans_SIvolume transfer coefficient obtained from magnitude-derived vascular input functionNPVnegative predictive valuePPVpositive predictive valueR1rate of longitudinal relaxationR2*observed rate of transverse relaxationROCreceiver operating characteristic analysisT1longitudinal relaxation timeVp_SIplasma volume obtained from magnitude-derived vascular input functionVIFvascular input functionVp_ϕplasma volume obtained from phase-derived vascular input function %U https://www.ajnr.org/content/ajnr/33/8/1539.full.pdf