Evaluating the use of rcbv as a tumor grade and treatment response classifier across nci quantitative imaging network sites: Part ii of the dsc-mri digital reference object (dro) challenge

Laura C. Bell; Natenael Semmineh; Hongyu An; Cihat Eldeniz; Richard Wahl; Kathleen M. Schmainda; Melissa A. Prah; Bradley J. Erickson; Panagiotis Korfiatis; Chengyue Wu; Anna G. Sorace; Thomas E. Yankeelov; Neal Rutledge; Thomas L. Chenevert; Dariya Malyarenko; Yichu Liu; Andrew Brenner; Leland S. Hu; Yuxiang Zhou; Jerrold L. Boxerman; Yi Fen Yen; Jayashree Kalpathy-Cramer; Andrew L. Beers; Mark Muzi; Ananth J. Madhuranthakam; Marco Pinho; Brian Johnson; C. Chad Quarles

doi:10.18383/j.tom.2020.00012

Evaluating the use of rcbv as a tumor grade and treatment response classifier across nci quantitative imaging network sites: Part ii of the dsc-mri digital reference object (dro) challenge

Laura C. Bell, Natenael Semmineh, Hongyu An, Cihat Eldeniz, Richard Wahl, Kathleen M. Schmainda, Melissa A. Prah, Bradley J. Erickson, Panagiotis Korfiatis, Chengyue Wu, Anna G. Sorace, Thomas E. Yankeelov, Neal Rutledge, Thomas L. Chenevert, Dariya Malyarenko, Yichu Liu, Andrew Brenner, Leland S. Hu, Yuxiang Zhou, Jerrold L. BoxermanYi Fen Yen, Jayashree Kalpathy-Cramer, Andrew L. Beers, Mark Muzi, Ananth J. Madhuranthakam, Marco Pinho, Brian Johnson, C. Chad Quarles

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1 Scopus citations

Abstract

We have previously characterized the reproducibility of brain tumor relative cerebral blood volume (rCBV) using a dynamic susceptibility contrast magnetic resonance imaging digital reference object across 12 sites using a range of imaging protocols and software platforms. As expected, reproducibility was highest when imaging protocols and software were consistent, but decreased when they were variable. Our goal in this study was to determine the impact of rCBV reproducibility for tumor grade and treatment response classification. We found that varying imaging protocols and software platforms produced a range of optimal thresholds for both tumor grading and treatment response, but the performance of these thresholds was similar. These findings further underscore the importance of standardizing acquisition and analysis protocols across sites and software benchmarking.

Original language	English (US)
Pages (from-to)	203-208
Number of pages	6
Journal	Tomography
Volume	6
Issue number	2
DOIs	https://doi.org/10.18383/j.tom.2020.00012
State	Published - Jun 2020

Keywords

DSC-MRI
Digital reference object
Multisite consistency
Relative cerebral blood volume
Standardization
Treatment response
Tumor grading

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.18383/j.tom.2020.00012

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Bell, L. C., Semmineh, N., An, H., Eldeniz, C., Wahl, R., Schmainda, K. M., Prah, M. A., Erickson, B. J., Korfiatis, P., Wu, C., Sorace, A. G., Yankeelov, T. E., Rutledge, N., Chenevert, T. L., Malyarenko, D., Liu, Y., Brenner, A., Hu, L. S., Zhou, Y., ... Quarles, C. C. (2020). Evaluating the use of rcbv as a tumor grade and treatment response classifier across nci quantitative imaging network sites: Part ii of the dsc-mri digital reference object (dro) challenge. Tomography, 6(2), 203-208. https://doi.org/10.18383/j.tom.2020.00012

Bell, LC, Semmineh, N, An, H, Eldeniz, C, Wahl, R, Schmainda, KM, Prah, MA, Erickson, BJ, Korfiatis, P, Wu, C, Sorace, AG, Yankeelov, TE, Rutledge, N, Chenevert, TL, Malyarenko, D, Liu, Y, Brenner, A, Hu, LS , Zhou, Y, Boxerman, JL, Yen, YF, Kalpathy-Cramer, J, Beers, AL, Muzi, M, Madhuranthakam, AJ, Pinho, M, Johnson, B & Quarles, CC 2020, 'Evaluating the use of rcbv as a tumor grade and treatment response classifier across nci quantitative imaging network sites: Part ii of the dsc-mri digital reference object (dro) challenge', Tomography, vol. 6, no. 2, pp. 203-208. https://doi.org/10.18383/j.tom.2020.00012

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title = "Evaluating the use of rcbv as a tumor grade and treatment response classifier across nci quantitative imaging network sites: Part ii of the dsc-mri digital reference object (dro) challenge",

abstract = "We have previously characterized the reproducibility of brain tumor relative cerebral blood volume (rCBV) using a dynamic susceptibility contrast magnetic resonance imaging digital reference object across 12 sites using a range of imaging protocols and software platforms. As expected, reproducibility was highest when imaging protocols and software were consistent, but decreased when they were variable. Our goal in this study was to determine the impact of rCBV reproducibility for tumor grade and treatment response classification. We found that varying imaging protocols and software platforms produced a range of optimal thresholds for both tumor grading and treatment response, but the performance of these thresholds was similar. These findings further underscore the importance of standardizing acquisition and analysis protocols across sites and software benchmarking.",

keywords = "DSC-MRI, Digital reference object, Multisite consistency, Relative cerebral blood volume, Standardization, Treatment response, Tumor grading",

author = "Bell, {Laura C.} and Natenael Semmineh and Hongyu An and Cihat Eldeniz and Richard Wahl and Schmainda, {Kathleen M.} and Prah, {Melissa A.} and Erickson, {Bradley J.} and Panagiotis Korfiatis and Chengyue Wu and Sorace, {Anna G.} and Yankeelov, {Thomas E.} and Neal Rutledge and Chenevert, {Thomas L.} and Dariya Malyarenko and Yichu Liu and Andrew Brenner and Hu, {Leland S.} and Yuxiang Zhou and Boxerman, {Jerrold L.} and Yen, {Yi Fen} and Jayashree Kalpathy-Cramer and Beers, {Andrew L.} and Mark Muzi and Madhuranthakam, {Ananth J.} and Marco Pinho and Brian Johnson and Quarles, {C. Chad}",

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month = jun,

doi = "10.18383/j.tom.2020.00012",

language = "English (US)",

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AU - Wahl, Richard

AU - Schmainda, Kathleen M.

AU - Prah, Melissa A.

AU - Erickson, Bradley J.

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AU - Sorace, Anna G.

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AU - Rutledge, Neal

AU - Chenevert, Thomas L.

AU - Malyarenko, Dariya

AU - Liu, Yichu

AU - Brenner, Andrew

AU - Hu, Leland S.

AU - Zhou, Yuxiang

AU - Boxerman, Jerrold L.

AU - Yen, Yi Fen

AU - Kalpathy-Cramer, Jayashree

AU - Beers, Andrew L.

AU - Muzi, Mark

AU - Madhuranthakam, Ananth J.

AU - Pinho, Marco

AU - Johnson, Brian

AU - Quarles, C. Chad

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AB - We have previously characterized the reproducibility of brain tumor relative cerebral blood volume (rCBV) using a dynamic susceptibility contrast magnetic resonance imaging digital reference object across 12 sites using a range of imaging protocols and software platforms. As expected, reproducibility was highest when imaging protocols and software were consistent, but decreased when they were variable. Our goal in this study was to determine the impact of rCBV reproducibility for tumor grade and treatment response classification. We found that varying imaging protocols and software platforms produced a range of optimal thresholds for both tumor grading and treatment response, but the performance of these thresholds was similar. These findings further underscore the importance of standardizing acquisition and analysis protocols across sites and software benchmarking.

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KW - Treatment response

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Evaluating the use of rcbv as a tumor grade and treatment response classifier across nci quantitative imaging network sites: Part ii of the dsc-mri digital reference object (dro) challenge

Abstract

Keywords

ASJC Scopus subject areas

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