Cargando…

Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)

The use of rCBV as a response metric in clinical trials has been hampered, in part, due to variations in the biomarker consistency and associated interpretation across sites, stemming from differences in image acquisition and post-processing methods. This study leveraged a dynamic susceptibility con...

Descripción completa

Detalles Bibliográficos
Autores principales: Bell, Laura C., Semmineh, Natenael, An, Hongyu, Eldeniz, Cihat, Wahl, Richard, Schmainda, Kathleen M., Prah, Melissa A., Erickson, Bradley J., Korfiatis, Panagiotis, Wu, Chengyue, Sorace, Anna G., Yankeelov, Thomas E., Rutledge, Neal, Chenevert, Thomas L., Malyarenko, Dariya, Liu, Yichu, Brenner, Andrew, Hu, Leland S., Zhou, Yuxiang, Boxerman, Jerrold L., Yen, Yi-Fen, Kalpathy-Cramer, Jayashree, Beers, Andrew L., Muzi, Mark, Madhuranthakam, Ananth J., Pinho, Marco, Johnson, Brian, Quarles, C. Chad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403027/
https://www.ncbi.nlm.nih.gov/pubmed/30854448
http://dx.doi.org/10.18383/j.tom.2018.00041
_version_ 1783400493954891776
author Bell, Laura C.
Semmineh, Natenael
An, Hongyu
Eldeniz, Cihat
Wahl, Richard
Schmainda, Kathleen M.
Prah, Melissa A.
Erickson, Bradley J.
Korfiatis, Panagiotis
Wu, Chengyue
Sorace, Anna G.
Yankeelov, Thomas E.
Rutledge, Neal
Chenevert, Thomas L.
Malyarenko, Dariya
Liu, Yichu
Brenner, Andrew
Hu, Leland S.
Zhou, Yuxiang
Boxerman, Jerrold L.
Yen, Yi-Fen
Kalpathy-Cramer, Jayashree
Beers, Andrew L.
Muzi, Mark
Madhuranthakam, Ananth J.
Pinho, Marco
Johnson, Brian
Quarles, C. Chad
author_facet Bell, Laura C.
Semmineh, Natenael
An, Hongyu
Eldeniz, Cihat
Wahl, Richard
Schmainda, Kathleen M.
Prah, Melissa A.
Erickson, Bradley J.
Korfiatis, Panagiotis
Wu, Chengyue
Sorace, Anna G.
Yankeelov, Thomas E.
Rutledge, Neal
Chenevert, Thomas L.
Malyarenko, Dariya
Liu, Yichu
Brenner, Andrew
Hu, Leland S.
Zhou, Yuxiang
Boxerman, Jerrold L.
Yen, Yi-Fen
Kalpathy-Cramer, Jayashree
Beers, Andrew L.
Muzi, Mark
Madhuranthakam, Ananth J.
Pinho, Marco
Johnson, Brian
Quarles, C. Chad
author_sort Bell, Laura C.
collection PubMed
description The use of rCBV as a response metric in clinical trials has been hampered, in part, due to variations in the biomarker consistency and associated interpretation across sites, stemming from differences in image acquisition and post-processing methods. This study leveraged a dynamic susceptibility contrast magnetic resonance imaging digital reference object to characterize rCBV consistency across 12 sites participating in the Quantitative Imaging Network (QIN), specifically focusing on differences in site-specific imaging protocols (IPs; n = 17), and PMs (n = 19) and differences due to site-specific IPs and PMs (n = 25). Thus, high agreement across sites occurs when 1 managing center processes rCBV despite slight variations in the IP. This result is most likely supported by current initiatives to standardize IPs. However, marked intersite disagreement was observed when site-specific software was applied for rCBV measurements. This study's results have important implications for comparing rCBV values across sites and trials, where variability in PMs could confound the comparison of therapeutic effectiveness and/or any attempts to establish thresholds for categorical response to therapy. To overcome these challenges and ensure the successful use of rCBV as a clinical trial biomarker, we recommend the establishment of qualifying and validating site- and trial-specific criteria for scanners and acquisition methods (eg, using a validated phantom) and the software tools used for dynamic susceptibility contrast magnetic resonance imaging analysis (eg, using a digital reference object where the ground truth is known).
format Online
Article
Text
id pubmed-6403027
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Grapho Publications, LLC
record_format MEDLINE/PubMed
spelling pubmed-64030272019-03-08 Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO) Bell, Laura C. Semmineh, Natenael An, Hongyu Eldeniz, Cihat Wahl, Richard Schmainda, Kathleen M. Prah, Melissa A. Erickson, Bradley J. Korfiatis, Panagiotis Wu, Chengyue Sorace, Anna G. Yankeelov, Thomas E. Rutledge, Neal Chenevert, Thomas L. Malyarenko, Dariya Liu, Yichu Brenner, Andrew Hu, Leland S. Zhou, Yuxiang Boxerman, Jerrold L. Yen, Yi-Fen Kalpathy-Cramer, Jayashree Beers, Andrew L. Muzi, Mark Madhuranthakam, Ananth J. Pinho, Marco Johnson, Brian Quarles, C. Chad Tomography Research Articles The use of rCBV as a response metric in clinical trials has been hampered, in part, due to variations in the biomarker consistency and associated interpretation across sites, stemming from differences in image acquisition and post-processing methods. This study leveraged a dynamic susceptibility contrast magnetic resonance imaging digital reference object to characterize rCBV consistency across 12 sites participating in the Quantitative Imaging Network (QIN), specifically focusing on differences in site-specific imaging protocols (IPs; n = 17), and PMs (n = 19) and differences due to site-specific IPs and PMs (n = 25). Thus, high agreement across sites occurs when 1 managing center processes rCBV despite slight variations in the IP. This result is most likely supported by current initiatives to standardize IPs. However, marked intersite disagreement was observed when site-specific software was applied for rCBV measurements. This study's results have important implications for comparing rCBV values across sites and trials, where variability in PMs could confound the comparison of therapeutic effectiveness and/or any attempts to establish thresholds for categorical response to therapy. To overcome these challenges and ensure the successful use of rCBV as a clinical trial biomarker, we recommend the establishment of qualifying and validating site- and trial-specific criteria for scanners and acquisition methods (eg, using a validated phantom) and the software tools used for dynamic susceptibility contrast magnetic resonance imaging analysis (eg, using a digital reference object where the ground truth is known). Grapho Publications, LLC 2019-03 /pmc/articles/PMC6403027/ /pubmed/30854448 http://dx.doi.org/10.18383/j.tom.2018.00041 Text en © 2019 The Authors. Published by Grapho Publications, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Articles
Bell, Laura C.
Semmineh, Natenael
An, Hongyu
Eldeniz, Cihat
Wahl, Richard
Schmainda, Kathleen M.
Prah, Melissa A.
Erickson, Bradley J.
Korfiatis, Panagiotis
Wu, Chengyue
Sorace, Anna G.
Yankeelov, Thomas E.
Rutledge, Neal
Chenevert, Thomas L.
Malyarenko, Dariya
Liu, Yichu
Brenner, Andrew
Hu, Leland S.
Zhou, Yuxiang
Boxerman, Jerrold L.
Yen, Yi-Fen
Kalpathy-Cramer, Jayashree
Beers, Andrew L.
Muzi, Mark
Madhuranthakam, Ananth J.
Pinho, Marco
Johnson, Brian
Quarles, C. Chad
Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)
title Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)
title_full Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)
title_fullStr Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)
title_full_unstemmed Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)
title_short Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)
title_sort evaluating multisite rcbv consistency from dsc-mri imaging protocols and postprocessing software across the nci quantitative imaging network sites using a digital reference object (dro)
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403027/
https://www.ncbi.nlm.nih.gov/pubmed/30854448
http://dx.doi.org/10.18383/j.tom.2018.00041
work_keys_str_mv AT belllaurac evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT semminehnatenael evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT anhongyu evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT eldenizcihat evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT wahlrichard evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT schmaindakathleenm evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT prahmelissaa evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT ericksonbradleyj evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT korfiatispanagiotis evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT wuchengyue evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT soraceannag evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT yankeelovthomase evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT rutledgeneal evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT chenevertthomasl evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT malyarenkodariya evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT liuyichu evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT brennerandrew evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT hulelands evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT zhouyuxiang evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT boxermanjerroldl evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT yenyifen evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT kalpathycramerjayashree evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT beersandrewl evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT muzimark evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT madhuranthakamananthj evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT pinhomarco evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT johnsonbrian evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro
AT quarlescchad evaluatingmultisitercbvconsistencyfromdscmriimagingprotocolsandpostprocessingsoftwareacrossthenciquantitativeimagingnetworksitesusingadigitalreferenceobjectdro