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Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project

Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer... ORIGINAL RESEARCH ADULT BRAIN Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project X K.M. Schmainda, X M.A. Prah, X S.D. Rand, X Y. Liu, X B. Logan, X M. Muzi, X S.D. Rane, X X. Da, X Y.-F. Yen, X J. Kalpathy-Cramer, X T.L. Chenevert, X B. Hoff, X B. Ross, X Y. Cao, X M.P. Aryal, X B. Erickson, X P. Korfiatis, X T. Dondlinger, X L. Bell, X L. Hu, X P.E. Kinahan, and X C.C. Quarles ABSTRACT BACKGROUND AND PURPOSE: Standardassessmentcriteriaforbraintumorsthatonlyincludeanatomicimagingcontinuetobeinsufficient. While numerous studies have demonstrated the value of DSC-MR imaging perfusion metrics for this purpose, they have not been incorporated due to a lack of confidence in the consistency of DSC-MR imaging metrics across sites and platforms. This study addresses this limitation with a comparison of multisite/multiplatform analyses of shared DSC-MR imaging datasets of patients with brain tumors. MATERIALS AND METHODS: 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 (TE/TR  30/1200 ms; flip angle  72°). Forty-nine low-grade (n  13) and high-grade (n  36) glioma datasets were http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Neuroradiology American Journal of Neuroradiology

Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project

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References (55)

Publisher
American Journal of Neuroradiology
Copyright
© 2018 by American Journal of Neuroradiology
ISSN
0195-6108
eISSN
1936-959X
DOI
10.3174/ajnr.A5675
Publisher site
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Abstract

ORIGINAL RESEARCH ADULT BRAIN Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project X K.M. Schmainda, X M.A. Prah, X S.D. Rand, X Y. Liu, X B. Logan, X M. Muzi, X S.D. Rane, X X. Da, X Y.-F. Yen, X J. Kalpathy-Cramer, X T.L. Chenevert, X B. Hoff, X B. Ross, X Y. Cao, X M.P. Aryal, X B. Erickson, X P. Korfiatis, X T. Dondlinger, X L. Bell, X L. Hu, X P.E. Kinahan, and X C.C. Quarles ABSTRACT BACKGROUND AND PURPOSE: Standardassessmentcriteriaforbraintumorsthatonlyincludeanatomicimagingcontinuetobeinsufficient. While numerous studies have demonstrated the value of DSC-MR imaging perfusion metrics for this purpose, they have not been incorporated due to a lack of confidence in the consistency of DSC-MR imaging metrics across sites and platforms. This study addresses this limitation with a comparison of multisite/multiplatform analyses of shared DSC-MR imaging datasets of patients with brain tumors. MATERIALS AND METHODS: 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 (TE/TR  30/1200 ms; flip angle  72°). Forty-nine low-grade (n  13) and high-grade (n  36) glioma datasets were

Journal

American Journal of Neuroradiology – American Journal of Neuroradiology

Published: Jun 1, 2018

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