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Endogenous assessment of chronic myocardial infarction with T(1ρ)-mapping in patients

BACKGROUND: Detection of cardiac fibrosis based on endogenous magnetic resonance (MR) characteristics of the myocardium would yield a measurement that can provide quantitative information, is independent of contrast agent concentration, renal function and timing. In ex vivo myocardial infarction (MI...

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Autores principales: van Oorschot, Joep WM, El Aidi, Hamza, Jansen of Lorkeers, Sanne J, Gho, Johannes MIH, Froeling, Martijn, Visser, Fredy, Chamuleau, Steven AJ, Doevendans, Pieter A, Luijten, Peter R, Leiner, Tim, Zwanenburg, Jaco JM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4272542/
https://www.ncbi.nlm.nih.gov/pubmed/25526973
http://dx.doi.org/10.1186/s12968-014-0104-y
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author van Oorschot, Joep WM
El Aidi, Hamza
Jansen of Lorkeers, Sanne J
Gho, Johannes MIH
Froeling, Martijn
Visser, Fredy
Chamuleau, Steven AJ
Doevendans, Pieter A
Luijten, Peter R
Leiner, Tim
Zwanenburg, Jaco JM
author_facet van Oorschot, Joep WM
El Aidi, Hamza
Jansen of Lorkeers, Sanne J
Gho, Johannes MIH
Froeling, Martijn
Visser, Fredy
Chamuleau, Steven AJ
Doevendans, Pieter A
Luijten, Peter R
Leiner, Tim
Zwanenburg, Jaco JM
author_sort van Oorschot, Joep WM
collection PubMed
description BACKGROUND: Detection of cardiac fibrosis based on endogenous magnetic resonance (MR) characteristics of the myocardium would yield a measurement that can provide quantitative information, is independent of contrast agent concentration, renal function and timing. In ex vivo myocardial infarction (MI) tissue, it has been shown that a significantly higher T(1ρ) is found in the MI region, and studies in animal models of chronic MI showed the first in vivo evidence for the ability to detect myocardial fibrosis with native T(1ρ)-mapping. In this study we aimed to translate and validate T(1ρ)-mapping for endogenous detection of chronic MI in patients. METHODS: We first performed a study in a porcine animal model of chronic MI to validate the implementation of T(1ρ)-mapping on a clinical cardiovascular MR scanner and studied the correlation with histology. Subsequently a clinical protocol was developed, to assess the feasibility of scar tissue detection with native T(1ρ)-mapping in patients (n = 21) with chronic MI, and correlated with gold standard late gadolinium enhancement (LGE) CMR. Four T(1ρ)-weighted images were acquired using a spin-lock preparation pulse with varying duration (0, 13, 27, 45 ms) and an amplitude of 750 Hz, and a T(1ρ)-map was calculated. The resulting T(1ρ)-maps and LGE images were scored qualitatively for the presence and extent of myocardial scarring using the 17-segment AHA model. RESULTS: In the animal model (n = 9) a significantly higher T(1ρ) relaxation time was found in the infarct region (61 ± 11 ms), compared to healthy remote myocardium (36 ± 4 ms) . In patients a higher T(1ρ) relaxation time (79 ± 11 ms) was found in the infarct region than in remote myocardium (54 ± 6 ms). Overlap in the scoring of scar tissue on LGE images and T(1ρ)-maps was 74%. CONCLUSION: We have shown the feasibility of native T(1ρ)-mapping for detection of infarct area in patients with a chronic myocardial infarction. In the near future, improvements on the T(1ρ) -mapping sequence could provide a higher sensitivity and specificity. This endogenous method could be an alternative for LGE imaging, and provide additional quantitative information on myocardial tissue characteristics.
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spelling pubmed-42725422014-12-21 Endogenous assessment of chronic myocardial infarction with T(1ρ)-mapping in patients van Oorschot, Joep WM El Aidi, Hamza Jansen of Lorkeers, Sanne J Gho, Johannes MIH Froeling, Martijn Visser, Fredy Chamuleau, Steven AJ Doevendans, Pieter A Luijten, Peter R Leiner, Tim Zwanenburg, Jaco JM J Cardiovasc Magn Reson Research BACKGROUND: Detection of cardiac fibrosis based on endogenous magnetic resonance (MR) characteristics of the myocardium would yield a measurement that can provide quantitative information, is independent of contrast agent concentration, renal function and timing. In ex vivo myocardial infarction (MI) tissue, it has been shown that a significantly higher T(1ρ) is found in the MI region, and studies in animal models of chronic MI showed the first in vivo evidence for the ability to detect myocardial fibrosis with native T(1ρ)-mapping. In this study we aimed to translate and validate T(1ρ)-mapping for endogenous detection of chronic MI in patients. METHODS: We first performed a study in a porcine animal model of chronic MI to validate the implementation of T(1ρ)-mapping on a clinical cardiovascular MR scanner and studied the correlation with histology. Subsequently a clinical protocol was developed, to assess the feasibility of scar tissue detection with native T(1ρ)-mapping in patients (n = 21) with chronic MI, and correlated with gold standard late gadolinium enhancement (LGE) CMR. Four T(1ρ)-weighted images were acquired using a spin-lock preparation pulse with varying duration (0, 13, 27, 45 ms) and an amplitude of 750 Hz, and a T(1ρ)-map was calculated. The resulting T(1ρ)-maps and LGE images were scored qualitatively for the presence and extent of myocardial scarring using the 17-segment AHA model. RESULTS: In the animal model (n = 9) a significantly higher T(1ρ) relaxation time was found in the infarct region (61 ± 11 ms), compared to healthy remote myocardium (36 ± 4 ms) . In patients a higher T(1ρ) relaxation time (79 ± 11 ms) was found in the infarct region than in remote myocardium (54 ± 6 ms). Overlap in the scoring of scar tissue on LGE images and T(1ρ)-maps was 74%. CONCLUSION: We have shown the feasibility of native T(1ρ)-mapping for detection of infarct area in patients with a chronic myocardial infarction. In the near future, improvements on the T(1ρ) -mapping sequence could provide a higher sensitivity and specificity. This endogenous method could be an alternative for LGE imaging, and provide additional quantitative information on myocardial tissue characteristics. BioMed Central 2014-12-20 /pmc/articles/PMC4272542/ /pubmed/25526973 http://dx.doi.org/10.1186/s12968-014-0104-y Text en © van Oorschot et al.; licensee BioMed Central Ltd. 2014 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 work is properly credited. 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
van Oorschot, Joep WM
El Aidi, Hamza
Jansen of Lorkeers, Sanne J
Gho, Johannes MIH
Froeling, Martijn
Visser, Fredy
Chamuleau, Steven AJ
Doevendans, Pieter A
Luijten, Peter R
Leiner, Tim
Zwanenburg, Jaco JM
Endogenous assessment of chronic myocardial infarction with T(1ρ)-mapping in patients
title Endogenous assessment of chronic myocardial infarction with T(1ρ)-mapping in patients
title_full Endogenous assessment of chronic myocardial infarction with T(1ρ)-mapping in patients
title_fullStr Endogenous assessment of chronic myocardial infarction with T(1ρ)-mapping in patients
title_full_unstemmed Endogenous assessment of chronic myocardial infarction with T(1ρ)-mapping in patients
title_short Endogenous assessment of chronic myocardial infarction with T(1ρ)-mapping in patients
title_sort endogenous assessment of chronic myocardial infarction with t(1ρ)-mapping in patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4272542/
https://www.ncbi.nlm.nih.gov/pubmed/25526973
http://dx.doi.org/10.1186/s12968-014-0104-y
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