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Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver
As the burden of liver disease reaches epidemic levels, there is a high unmet medical need to develop robust, accurate and reproducible non-invasive methods to quantify liver tissue characteristics for use in clinical development and ultimately in clinical practice. This prospective cross-sectional...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457552/ https://www.ncbi.nlm.nih.gov/pubmed/30970039 http://dx.doi.org/10.1371/journal.pone.0214921 |
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author | Bachtiar, Velicia Kelly, Matthew D. Wilman, Henry R. Jacobs, Jaco Newbould, Rexford Kelly, Catherine J. Gyngell, Michael L. Groves, Katherine E. McKay, Andy Herlihy, Amy H. Fernandes, Carolina C. Halberstadt, Mark Maguire, Marion Jayaratne, Naomi Linden, Sophia Neubauer, Stefan Banerjee, Rajarshi |
author_facet | Bachtiar, Velicia Kelly, Matthew D. Wilman, Henry R. Jacobs, Jaco Newbould, Rexford Kelly, Catherine J. Gyngell, Michael L. Groves, Katherine E. McKay, Andy Herlihy, Amy H. Fernandes, Carolina C. Halberstadt, Mark Maguire, Marion Jayaratne, Naomi Linden, Sophia Neubauer, Stefan Banerjee, Rajarshi |
author_sort | Bachtiar, Velicia |
collection | PubMed |
description | As the burden of liver disease reaches epidemic levels, there is a high unmet medical need to develop robust, accurate and reproducible non-invasive methods to quantify liver tissue characteristics for use in clinical development and ultimately in clinical practice. This prospective cross-sectional study systematically examines the repeatability and reproducibility of iron-corrected T1 (cT1), T2*, and hepatic proton density fat fraction (PDFF) quantification with multiparametric MRI across different field strengths, scanner manufacturers and models. 61 adult participants with mixed liver disease aetiology and those without any history of liver disease underwent multiparametric MRI on combinations of 5 scanner models from two manufacturers (Siemens and Philips) at different field strengths (1.5T and 3T). We report high repeatability and reproducibility across different field strengths, manufacturers, and scanner models in standardized cT1 (repeatability CoV: 1.7%, bias -7.5ms, 95% LoA of -53.6 ms to 38.5 ms; reproducibility CoV 3.3%, bias 6.5 ms, 95% LoA of -76.3 to 89.2 ms) and T2* (repeatability CoV: 5.5%, bias -0.18 ms, 95% LoA -5.41 to 5.05 ms; reproducibility CoV 6.6%, bias -1.7 ms, 95% LoA -6.61 to 3.15 ms) in human measurements. PDFF repeatability (0.8%) and reproducibility (0.75%) coefficients showed high precision of this metric. Similar precision was observed in phantom measurements. Inspection of the ICC model indicated that most of the variance in cT1 could be accounted for by study participants (ICC = 0.91), with minimal contribution from technical differences. We demonstrate that multiparametric MRI is a non-invasive, repeatable and reproducible method for quantifying liver tissue characteristics across manufacturers (Philips and Siemens) and field strengths (1.5T and 3T). |
format | Online Article Text |
id | pubmed-6457552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64575522019-05-03 Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver Bachtiar, Velicia Kelly, Matthew D. Wilman, Henry R. Jacobs, Jaco Newbould, Rexford Kelly, Catherine J. Gyngell, Michael L. Groves, Katherine E. McKay, Andy Herlihy, Amy H. Fernandes, Carolina C. Halberstadt, Mark Maguire, Marion Jayaratne, Naomi Linden, Sophia Neubauer, Stefan Banerjee, Rajarshi PLoS One Research Article As the burden of liver disease reaches epidemic levels, there is a high unmet medical need to develop robust, accurate and reproducible non-invasive methods to quantify liver tissue characteristics for use in clinical development and ultimately in clinical practice. This prospective cross-sectional study systematically examines the repeatability and reproducibility of iron-corrected T1 (cT1), T2*, and hepatic proton density fat fraction (PDFF) quantification with multiparametric MRI across different field strengths, scanner manufacturers and models. 61 adult participants with mixed liver disease aetiology and those without any history of liver disease underwent multiparametric MRI on combinations of 5 scanner models from two manufacturers (Siemens and Philips) at different field strengths (1.5T and 3T). We report high repeatability and reproducibility across different field strengths, manufacturers, and scanner models in standardized cT1 (repeatability CoV: 1.7%, bias -7.5ms, 95% LoA of -53.6 ms to 38.5 ms; reproducibility CoV 3.3%, bias 6.5 ms, 95% LoA of -76.3 to 89.2 ms) and T2* (repeatability CoV: 5.5%, bias -0.18 ms, 95% LoA -5.41 to 5.05 ms; reproducibility CoV 6.6%, bias -1.7 ms, 95% LoA -6.61 to 3.15 ms) in human measurements. PDFF repeatability (0.8%) and reproducibility (0.75%) coefficients showed high precision of this metric. Similar precision was observed in phantom measurements. Inspection of the ICC model indicated that most of the variance in cT1 could be accounted for by study participants (ICC = 0.91), with minimal contribution from technical differences. We demonstrate that multiparametric MRI is a non-invasive, repeatable and reproducible method for quantifying liver tissue characteristics across manufacturers (Philips and Siemens) and field strengths (1.5T and 3T). Public Library of Science 2019-04-10 /pmc/articles/PMC6457552/ /pubmed/30970039 http://dx.doi.org/10.1371/journal.pone.0214921 Text en © 2019 Bachtiar et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bachtiar, Velicia Kelly, Matthew D. Wilman, Henry R. Jacobs, Jaco Newbould, Rexford Kelly, Catherine J. Gyngell, Michael L. Groves, Katherine E. McKay, Andy Herlihy, Amy H. Fernandes, Carolina C. Halberstadt, Mark Maguire, Marion Jayaratne, Naomi Linden, Sophia Neubauer, Stefan Banerjee, Rajarshi Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver |
title | Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver |
title_full | Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver |
title_fullStr | Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver |
title_full_unstemmed | Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver |
title_short | Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver |
title_sort | repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457552/ https://www.ncbi.nlm.nih.gov/pubmed/30970039 http://dx.doi.org/10.1371/journal.pone.0214921 |
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