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Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis

BACKGROUND: Although the presence of late gadolinium enhancement (LGE) using cardiovascular magnetic resonance imaging (CMR) is a significant discriminator of events in patients with suspected myocarditis, no data are available on the optimal LGE quantification method. METHODS: Six hundred seventy c...

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Autores principales: Gräni, Christoph, Eichhorn, Christian, Bière, Loïc, Kaneko, Kyoichi, Murthy, Venkatesh L., Agarwal, Vikram, Aghayev, Ayaz, Steigner, Michael, Blankstein, Ron, Jerosch-Herold, Michael, Kwong, Raymond Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393997/
https://www.ncbi.nlm.nih.gov/pubmed/30813942
http://dx.doi.org/10.1186/s12968-019-0520-0
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author Gräni, Christoph
Eichhorn, Christian
Bière, Loïc
Kaneko, Kyoichi
Murthy, Venkatesh L.
Agarwal, Vikram
Aghayev, Ayaz
Steigner, Michael
Blankstein, Ron
Jerosch-Herold, Michael
Kwong, Raymond Y.
author_facet Gräni, Christoph
Eichhorn, Christian
Bière, Loïc
Kaneko, Kyoichi
Murthy, Venkatesh L.
Agarwal, Vikram
Aghayev, Ayaz
Steigner, Michael
Blankstein, Ron
Jerosch-Herold, Michael
Kwong, Raymond Y.
author_sort Gräni, Christoph
collection PubMed
description BACKGROUND: Although the presence of late gadolinium enhancement (LGE) using cardiovascular magnetic resonance imaging (CMR) is a significant discriminator of events in patients with suspected myocarditis, no data are available on the optimal LGE quantification method. METHODS: Six hundred seventy consecutive patients (48 ± 16 years, 59% male) with suspected myocarditis were enrolled between 2002 and 2015. We performed LGE quantitation using seven different signal intensity thresholding methods based either on 2, 3, 4, 5, 6, 7 standard deviations (SD) above remote myocardium or full width at half maximum (FWHM). In addition, a LGE visual presence score (LGE-VPS) (LGE present/absent in each segment) was assessed. For each of these methods, the strength of association of LGE results with major adverse cardiac events (MACE) was determined. Inter-and intra-rater variability using intraclass-correlation coefficient (ICC) was performed for all methods. RESULTS: Ninety-eight (15%) patients experienced a MACE at a medium follow-up of 4.7 years. LGE quantification by FWHM, 2- and 3-SD demonstrated univariable association with MACE (hazard ratio [HR] 1.05, 95% confidence interval [CI]:1.02–1.08, p = 0.001; HR 1.02, 95%CI:1.00–1.04; p = 0.001; HR 1.02, 95%CI: 1.00–1.05, p = 0.035, respectively), whereas 4-SD through 7-SD methods did not reach significant association. LGE-VPS also demonstrated association with MACE (HR 1.09, 95%CI: 1.04–1.15, p < 0.001). In the multivariable model, FWHM, 2-SD methods, and LGE-VPS each demonstrated significant association with MACE adjusted to age, sex, BMI and LVEF (adjusted HR of 1.04, 1.02, and 1.07; p = 0.009, p = 0.035; and p = 0.005, respectively). In these, FWHM and LGE-VPS had the highest degrees of inter and intra-rater reproducibility based on their high ICC values. CONCLUSIONS: FWHM is the optimal semi-automated quantification method in risk-stratifying patients with suspected myocarditis, demonstrating the strongest association with MACE and the highest technical consistency. Visual LGE scoring is a reliable alternative method and is associated with a comparable association with MACE and reproducibility in these patients. TRIAL REGISTRATION NUMBER: NCT03470571. Registered 13th March 2018. Retrospectively registered.
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spelling pubmed-63939972019-03-11 Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis Gräni, Christoph Eichhorn, Christian Bière, Loïc Kaneko, Kyoichi Murthy, Venkatesh L. Agarwal, Vikram Aghayev, Ayaz Steigner, Michael Blankstein, Ron Jerosch-Herold, Michael Kwong, Raymond Y. J Cardiovasc Magn Reson Research BACKGROUND: Although the presence of late gadolinium enhancement (LGE) using cardiovascular magnetic resonance imaging (CMR) is a significant discriminator of events in patients with suspected myocarditis, no data are available on the optimal LGE quantification method. METHODS: Six hundred seventy consecutive patients (48 ± 16 years, 59% male) with suspected myocarditis were enrolled between 2002 and 2015. We performed LGE quantitation using seven different signal intensity thresholding methods based either on 2, 3, 4, 5, 6, 7 standard deviations (SD) above remote myocardium or full width at half maximum (FWHM). In addition, a LGE visual presence score (LGE-VPS) (LGE present/absent in each segment) was assessed. For each of these methods, the strength of association of LGE results with major adverse cardiac events (MACE) was determined. Inter-and intra-rater variability using intraclass-correlation coefficient (ICC) was performed for all methods. RESULTS: Ninety-eight (15%) patients experienced a MACE at a medium follow-up of 4.7 years. LGE quantification by FWHM, 2- and 3-SD demonstrated univariable association with MACE (hazard ratio [HR] 1.05, 95% confidence interval [CI]:1.02–1.08, p = 0.001; HR 1.02, 95%CI:1.00–1.04; p = 0.001; HR 1.02, 95%CI: 1.00–1.05, p = 0.035, respectively), whereas 4-SD through 7-SD methods did not reach significant association. LGE-VPS also demonstrated association with MACE (HR 1.09, 95%CI: 1.04–1.15, p < 0.001). In the multivariable model, FWHM, 2-SD methods, and LGE-VPS each demonstrated significant association with MACE adjusted to age, sex, BMI and LVEF (adjusted HR of 1.04, 1.02, and 1.07; p = 0.009, p = 0.035; and p = 0.005, respectively). In these, FWHM and LGE-VPS had the highest degrees of inter and intra-rater reproducibility based on their high ICC values. CONCLUSIONS: FWHM is the optimal semi-automated quantification method in risk-stratifying patients with suspected myocarditis, demonstrating the strongest association with MACE and the highest technical consistency. Visual LGE scoring is a reliable alternative method and is associated with a comparable association with MACE and reproducibility in these patients. TRIAL REGISTRATION NUMBER: NCT03470571. Registered 13th March 2018. Retrospectively registered. BioMed Central 2019-02-28 /pmc/articles/PMC6393997/ /pubmed/30813942 http://dx.doi.org/10.1186/s12968-019-0520-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Gräni, Christoph
Eichhorn, Christian
Bière, Loïc
Kaneko, Kyoichi
Murthy, Venkatesh L.
Agarwal, Vikram
Aghayev, Ayaz
Steigner, Michael
Blankstein, Ron
Jerosch-Herold, Michael
Kwong, Raymond Y.
Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis
title Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis
title_full Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis
title_fullStr Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis
title_full_unstemmed Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis
title_short Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis
title_sort comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393997/
https://www.ncbi.nlm.nih.gov/pubmed/30813942
http://dx.doi.org/10.1186/s12968-019-0520-0
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