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Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force

OBJECTIVES: In the Cancer Core Europe Consortium (CCE), standardized biomarkers are required for therapy monitoring oncologic multicenter clinical trials. Multiparametric functional MRI and particularly diffusion-weighted MRI offer evident advantages for noninvasive characterization of tumor viabili...

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Autores principales: Sedlaczek, Oliver Lukas, Kleesiek, Jens, Gallagher, Ferdia A., Murray, Jacob, Prinz, Sebastian, Perez-Lopez, Raquel, Sala, Evia, Caramella, Caroline, Diffetock, Sebastian, Lassau, Nathalie, Priest, Andrew N., Suzuki, Chikako, Vargas, Roberto, Giandini, Tommaso, Vaiani, Marta, Messina, Antonella, Blomqvist, Lennart K., Beets-Tan, Regina G. H., Oberrauch, Petra, Schlemmer, Heinz-Peter, Bach, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705481/
https://www.ncbi.nlm.nih.gov/pubmed/35678860
http://dx.doi.org/10.1007/s00330-022-08880-7
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author Sedlaczek, Oliver Lukas
Kleesiek, Jens
Gallagher, Ferdia A.
Murray, Jacob
Prinz, Sebastian
Perez-Lopez, Raquel
Sala, Evia
Caramella, Caroline
Diffetock, Sebastian
Lassau, Nathalie
Priest, Andrew N.
Suzuki, Chikako
Vargas, Roberto
Giandini, Tommaso
Vaiani, Marta
Messina, Antonella
Blomqvist, Lennart K.
Beets-Tan, Regina G. H.
Oberrauch, Petra
Schlemmer, Heinz-Peter
Bach, Michael
author_facet Sedlaczek, Oliver Lukas
Kleesiek, Jens
Gallagher, Ferdia A.
Murray, Jacob
Prinz, Sebastian
Perez-Lopez, Raquel
Sala, Evia
Caramella, Caroline
Diffetock, Sebastian
Lassau, Nathalie
Priest, Andrew N.
Suzuki, Chikako
Vargas, Roberto
Giandini, Tommaso
Vaiani, Marta
Messina, Antonella
Blomqvist, Lennart K.
Beets-Tan, Regina G. H.
Oberrauch, Petra
Schlemmer, Heinz-Peter
Bach, Michael
author_sort Sedlaczek, Oliver Lukas
collection PubMed
description OBJECTIVES: In the Cancer Core Europe Consortium (CCE), standardized biomarkers are required for therapy monitoring oncologic multicenter clinical trials. Multiparametric functional MRI and particularly diffusion-weighted MRI offer evident advantages for noninvasive characterization of tumor viability compared to CT and RECIST. A quantification of the inter- and intraindividual variation occurring in this setting using different hardware is missing. In this study, the MRI protocol including DWI was standardized and the residual variability of measurement parameters quantified. METHODS: Phantom and volunteer measurements (single-shot T2w and DW-EPI) were performed at the seven CCE sites using the MR hardware produced by three different vendors. Repeated measurements were performed at the sites and across the sites including a traveling volunteer, comparing qualitative and quantitative ROI-based results including an explorative radiomics analysis. RESULTS: For DWI/ADC phantom measurements using a central post-processing algorithm, the maximum deviation could be decreased to 2%. However, there is no significant difference compared to a decentralized ADC value calculation at the respective MRI devices. In volunteers, the measurement variation in 2 repeated scans did not exceed 11% for ADC and is below 20% for single-shot T2w in systematic liver ROIs. The measurement variation between sites amounted to 20% for ADC and < 25% for single-shot T2w. Explorative radiomics classification experiments yield better results for ADC than for single-shot T2w. CONCLUSION: Harmonization of MR acquisition and post-processing parameters results in acceptable standard deviations for MR/DW imaging. MRI could be the tool in oncologic multicenter trials to overcome the limitations of RECIST-based response evaluation. KEY POINTS: • Harmonizing acquisition parameters and post-processing homogenization, standardized protocols result in acceptable standard deviations for multicenter MR–DWI studies. • Total measurement variation does not to exceed 11% for ADC in repeated measurements in repeated MR acquisitions, and below 20% for an identical volunteer travelling between sites. • Radiomic classification experiments were able to identify stable features allowing for reliable discrimination of different physiological tissue samples, even when using heterogeneous imaging data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08880-7.
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spelling pubmed-97054812022-11-30 Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force Sedlaczek, Oliver Lukas Kleesiek, Jens Gallagher, Ferdia A. Murray, Jacob Prinz, Sebastian Perez-Lopez, Raquel Sala, Evia Caramella, Caroline Diffetock, Sebastian Lassau, Nathalie Priest, Andrew N. Suzuki, Chikako Vargas, Roberto Giandini, Tommaso Vaiani, Marta Messina, Antonella Blomqvist, Lennart K. Beets-Tan, Regina G. H. Oberrauch, Petra Schlemmer, Heinz-Peter Bach, Michael Eur Radiol Magnetic Resonance OBJECTIVES: In the Cancer Core Europe Consortium (CCE), standardized biomarkers are required for therapy monitoring oncologic multicenter clinical trials. Multiparametric functional MRI and particularly diffusion-weighted MRI offer evident advantages for noninvasive characterization of tumor viability compared to CT and RECIST. A quantification of the inter- and intraindividual variation occurring in this setting using different hardware is missing. In this study, the MRI protocol including DWI was standardized and the residual variability of measurement parameters quantified. METHODS: Phantom and volunteer measurements (single-shot T2w and DW-EPI) were performed at the seven CCE sites using the MR hardware produced by three different vendors. Repeated measurements were performed at the sites and across the sites including a traveling volunteer, comparing qualitative and quantitative ROI-based results including an explorative radiomics analysis. RESULTS: For DWI/ADC phantom measurements using a central post-processing algorithm, the maximum deviation could be decreased to 2%. However, there is no significant difference compared to a decentralized ADC value calculation at the respective MRI devices. In volunteers, the measurement variation in 2 repeated scans did not exceed 11% for ADC and is below 20% for single-shot T2w in systematic liver ROIs. The measurement variation between sites amounted to 20% for ADC and < 25% for single-shot T2w. Explorative radiomics classification experiments yield better results for ADC than for single-shot T2w. CONCLUSION: Harmonization of MR acquisition and post-processing parameters results in acceptable standard deviations for MR/DW imaging. MRI could be the tool in oncologic multicenter trials to overcome the limitations of RECIST-based response evaluation. KEY POINTS: • Harmonizing acquisition parameters and post-processing homogenization, standardized protocols result in acceptable standard deviations for multicenter MR–DWI studies. • Total measurement variation does not to exceed 11% for ADC in repeated measurements in repeated MR acquisitions, and below 20% for an identical volunteer travelling between sites. • Radiomic classification experiments were able to identify stable features allowing for reliable discrimination of different physiological tissue samples, even when using heterogeneous imaging data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08880-7. Springer Berlin Heidelberg 2022-06-09 2022 /pmc/articles/PMC9705481/ /pubmed/35678860 http://dx.doi.org/10.1007/s00330-022-08880-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Magnetic Resonance
Sedlaczek, Oliver Lukas
Kleesiek, Jens
Gallagher, Ferdia A.
Murray, Jacob
Prinz, Sebastian
Perez-Lopez, Raquel
Sala, Evia
Caramella, Caroline
Diffetock, Sebastian
Lassau, Nathalie
Priest, Andrew N.
Suzuki, Chikako
Vargas, Roberto
Giandini, Tommaso
Vaiani, Marta
Messina, Antonella
Blomqvist, Lennart K.
Beets-Tan, Regina G. H.
Oberrauch, Petra
Schlemmer, Heinz-Peter
Bach, Michael
Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
title Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
title_full Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
title_fullStr Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
title_full_unstemmed Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
title_short Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force
title_sort quantification and reduction of cross-vendor variation in multicenter dwi mr imaging: results of the cancer core europe imaging task force
topic Magnetic Resonance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705481/
https://www.ncbi.nlm.nih.gov/pubmed/35678860
http://dx.doi.org/10.1007/s00330-022-08880-7
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