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

Research output: Contribution to journal › Article › peer-review

11 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
Pages (from-to)	203-208
Number of pages	6
Journal	Tomography (Ann Arbor, Mich.)
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

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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 (Ann Arbor, Mich.), 6(2), 203-208. https://doi.org/10.18383/j.tom.2020.00012

@article{b84976cd82fc4a90b66c58ac48a411dc,

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}",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors.",

year = "2020",

month = jun,

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

language = "English",

volume = "6",

pages = "203--208",

journal = "Tomography (Ann Arbor, Mich.)",

issn = "2379-1381",

number = "2",

}

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 (Ann Arbor, Mich.), vol. 6, no. 2, pp. 203-208. https://doi.org/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. / Bell, Laura C.; Semmineh, Natenael; An, Hongyu et al.
In: Tomography (Ann Arbor, Mich.), Vol. 6, No. 2, 06.2020, p. 203-208.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Evaluating the use of rcbv as a tumor grade and treatment response classifier across nci quantitative imaging network sites

T2 - Part ii of the dsc-mri digital reference object (dro) challenge

AU - Bell, Laura C.

AU - Semmineh, Natenael

AU - An, Hongyu

AU - Eldeniz, Cihat

AU - Wahl, Richard

AU - Schmainda, Kathleen M.

AU - Prah, Melissa A.

AU - Erickson, Bradley J.

AU - Korfiatis, Panagiotis

AU - Wu, Chengyue

AU - Sorace, Anna G.

AU - Yankeelov, Thomas E.

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

PY - 2020/6

Y1 - 2020/6

N2 - 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.

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.

KW - DSC-MRI

KW - Digital reference object

KW - Multisite consistency

KW - Relative cerebral blood volume

KW - Standardization

KW - Treatment response

KW - Tumor grading

UR - http://www.scopus.com/inward/record.url?scp=85086686948&partnerID=8YFLogxK

U2 - 10.18383/j.tom.2020.00012

DO - 10.18383/j.tom.2020.00012

M3 - Article

C2 - 32548297

AN - SCOPUS:85086686948

SN - 2379-1381

VL - 6

SP - 203

EP - 208

JO - Tomography (Ann Arbor, Mich.)

JF - Tomography (Ann Arbor, Mich.)

IS - 2

ER -

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

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Keywords

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