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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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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. |
format | Online Article Text |
id | pubmed-4272542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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