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Index by author

June 01, 2018; Volume 39,Issue 6

  1. Kinahan, P.E.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project
      K.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. Quarles
      American 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.

  2. Kluck, B.W.

    1. Multisociety Consensus Quality Improvement Revised Consensus Statement for Endovascular Therapy of Acute Ischemic Stroke
      From the American Association of Neurological Surgeons (AANS), American Society of Neuroradiology (ASNR), Cardiovascular and Interventional Radiology Society of Europe (CIRSE), Canadian Interventional Radiology Association (CIRA), Congress of Neurological Surgeons (CNS), European Society of Minimally Invasive Neurological Therapy (ESMINT), European Society of Neuroradiology (ESNR), European Stroke Organization (ESO), Society for Cardiovascular Angiography and Interventions (SCAI), Society of Interventional Radiology (SIR), Society of NeuroInterventional Surgery (SNIS), and World Stroke Organization (WSO), D. Sacks, B. Baxter, B.C.V. Campbell, J.S. Carpenter, C. Cognard, D. Dippel, M. Eesa, U. Fischer, K. Hausegger, J.A. Hirsch, M.S. Hussain, O. Jansen, M.V. Jayaraman, A.A. Khalessi, B.W. Kluck, S. Lavine, P.M. Meyers, S. Ramee, D.A. Rüfenacht, C.M. Schirmer and D. Vorwerk
      American Journal of Neuroradiology June 2018, 39 (6) E61-E76; DOI: https://doi.org/10.3174/ajnr.A5638

  3. Korfiatis, P.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project
      K.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. Quarles
      American 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.

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