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June 01, 2018; Volume 39,Issue 6
Quarles, C.C.
- EDITOR'S CHOICEAdult BrainOpen AccessMultisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative ProjectK.M. Schmainda, M.A. Prah, S.D. Rand, Y. Liu, B. Logan, M. Muzi, S.D. Rane, X. Da, Y.-F. Yen, J. Kalpathy-Cramer, T.L. Chenevert, B. Hoff, B. Ross, Y. Cao, M.P. Aryal, B. Erickson, P. Korfiatis, T. Dondlinger, L. Bell, L. Hu, P.E. Kinahan and C.C. QuarlesAmerican Journal of Neuroradiology June 2018, 39 (6) 1008-1016; DOI: https://doi.org/10.3174/ajnr.A5675
DSC-MR imaging data were collected after a preload and during a bolus injection of gadolinium contrast agent using a gradient recalled-echo-EPI sequence. Forty-nine low-grade and high-grade glioma datasets were uploaded to The Cancer Imaging Archive. Datasets included a predetermined arterial input function, enhancing tumor ROIs, and ROIs necessary to create normalized relative CBV and CBF maps. Seven sites computed 20 different perfusion metrics. For normalized relative CBV and normalized CBF, 93% and 94% of entries showed good or excellent cross-site agreement. All metrics could distinguish low- from high-grade tumors.
Quencer, Robert M.
- You have accessBrian C. Bowen, MD, PhDRobert M. QuencerAmerican Journal of Neuroradiology June 2018, 39 (6) 1191; DOI: https://doi.org/10.3174/ajnr.A5683
In this issue
American Journal of Neuroradiology
Vol. 39, Issue 6
1 Jun 2018
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