B Lee1, J E Park2, A Bjørnerud3, J H Kim4, J Y Lee5, H S Kim6. 1. From the Department of Radiology (B.L.), Seoul Metropolitan Government-Seoul National University, Boramae Medical Center, Seoul, Korea. 2. Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea jieunp@gmail.com. 3. Department of Diagnostic Physics (A.B.), Rikshopitalet University Hospital, Oslo, Norway. 4. NordicNeuroLab (J.H.K.), Seoul, Korea. 5. Department of Radiology (J.Y.L.), Soonchunhyang University Bucheon Hospital, Bucheon, Korea. 6. Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Abstract
BACKGROUND AND PURPOSE: A small subset of primary central nervous system lymphomas exhibits high cerebral blood volume, which is indistinguishable from that in glioblastoma on dynamic susceptibility contrast MR imaging. Our study aimed to test whether estimates of combined perfusion and vascular permeability metrics derived from DSC-MR imaging can improve the diagnostic performance in differentiating hypervascular primary central nervous system lymphoma from glioblastoma. MATERIALS AND METHODS: A total of 119 patients (with 30 primary central nervous system lymphomas and 89 glioblastomas) exhibited hypervascular foci using the reference method of leakage-corrected CBV (reference-normalized CBV). An alternative postprocessing method used the tissue residue function to calculate vascular permeability (extraction fraction), leakage-corrected CBV, cerebral blood flow, and mean transit time. Parameters were compared using Mann-Whitney U tests, and the diagnostic performance to distinguish primary central nervous system lymphoma from glioblastoma was calculated using the area under the curve from the receiver operating characteristic curve and was cross-validated with bootstrapping. RESULTS: Hypervascular primary central nervous system lymphoma showed similar leakage-corrected normalized CBV and leakage-corrected CBV compared with glioblastoma (P > .05); however, primary central nervous system lymphoma exhibited a significantly higher extraction fraction (P < .001) and CBF (P = .01) and shorter MTT (P < .001) than glioblastoma. The extraction fraction showed the highest diagnostic performance (the area under the receiver operating characteristic curve [AUC], 0.78; 95% confidence interval, 0.69-0.85) for distinguishing hypervascular primary central nervous system lymphoma from glioblastoma, with a significantly higher performance than both CBV (AUC, 0.53-0.59, largest P = .02) and CBF (AUC, 0.72) and MTT (AUC, 0.71). CONCLUSIONS: Estimation of vascular permeability with DSC-MR imaging further characterizes hypervascular primary central nervous system lymphoma and improves diagnostic performance in glioblastoma differentiation.
BACKGROUND AND PURPOSE: A small subset of primary central nervous system lymphomas exhibits high cerebral blood volume, which is indistinguishable from that in glioblastoma on dynamic susceptibility contrast MR imaging. Our study aimed to test whether estimates of combined perfusion and vascular permeability metrics derived from DSC-MR imaging can improve the diagnostic performance in differentiating hypervascular primary central nervous system lymphoma from glioblastoma. MATERIALS AND METHODS: A total of 119 patients (with 30 primary central nervous system lymphomas and 89 glioblastomas) exhibited hypervascular foci using the reference method of leakage-corrected CBV (reference-normalized CBV). An alternative postprocessing method used the tissue residue function to calculate vascular permeability (extraction fraction), leakage-corrected CBV, cerebral blood flow, and mean transit time. Parameters were compared using Mann-Whitney U tests, and the diagnostic performance to distinguish primary central nervous system lymphoma from glioblastoma was calculated using the area under the curve from the receiver operating characteristic curve and was cross-validated with bootstrapping. RESULTS:Hypervascular primary central nervous system lymphoma showed similar leakage-corrected normalized CBV and leakage-corrected CBV compared with glioblastoma (P > .05); however, primary central nervous system lymphoma exhibited a significantly higher extraction fraction (P < .001) and CBF (P = .01) and shorter MTT (P < .001) than glioblastoma. The extraction fraction showed the highest diagnostic performance (the area under the receiver operating characteristic curve [AUC], 0.78; 95% confidence interval, 0.69-0.85) for distinguishing hypervascular primary central nervous system lymphoma from glioblastoma, with a significantly higher performance than both CBV (AUC, 0.53-0.59, largest P = .02) and CBF (AUC, 0.72) and MTT (AUC, 0.71). CONCLUSIONS: Estimation of vascular permeability with DSC-MR imaging further characterizes hypervascular primary central nervous system lymphoma and improves diagnostic performance in glioblastoma differentiation.
Authors: Patrick Y Wen; Michael Weller; Eudocia Quant Lee; Brian M Alexander; Jill S Barnholtz-Sloan; Floris P Barthel; Tracy T Batchelor; Ranjit S Bindra; Susan M Chang; E Antonio Chiocca; Timothy F Cloughesy; John F DeGroot; Evanthia Galanis; Mark R Gilbert; Monika E Hegi; Craig Horbinski; Raymond Y Huang; Andrew B Lassman; Emilie Le Rhun; Michael Lim; Minesh P Mehta; Ingo K Mellinghoff; Giuseppe Minniti; David Nathanson; Michael Platten; Matthias Preusser; Patrick Roth; Marc Sanson; David Schiff; Susan C Short; Martin J B Taphoorn; Joerg-Christian Tonn; Jonathan Tsang; Roel G W Verhaak; Andreas von Deimling; Wolfgang Wick; Gelareh Zadeh; David A Reardon; Kenneth D Aldape; Martin J van den Bent Journal: Neuro Oncol Date: 2020-08-17 Impact factor: 12.300