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Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction

BACKGROUND: Assessing the extent of ischemic and reperfusion-associated myocardial injuries remains challenging with current magnetic resonance imaging (MRI) techniques. Our aim was to develop a tissue characterization mapping (TCM) technique by combining late gadolinium enhancement (LGE) with our n...

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Autores principales: Suranyi, Pal, Elgavish, Gabriel A., Schoepf, U. Joseph, Ruzsics, Balazs, Kiss, Pal, van Assen, Marly, Jacobs, Brian E., Brott, Brigitta C., Elgavish, Ada, Varga-Szemes, Akos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909369/
https://www.ncbi.nlm.nih.gov/pubmed/29708212
http://dx.doi.org/10.1186/s41747-018-0037-6
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author Suranyi, Pal
Elgavish, Gabriel A.
Schoepf, U. Joseph
Ruzsics, Balazs
Kiss, Pal
van Assen, Marly
Jacobs, Brian E.
Brott, Brigitta C.
Elgavish, Ada
Varga-Szemes, Akos
author_facet Suranyi, Pal
Elgavish, Gabriel A.
Schoepf, U. Joseph
Ruzsics, Balazs
Kiss, Pal
van Assen, Marly
Jacobs, Brian E.
Brott, Brigitta C.
Elgavish, Ada
Varga-Szemes, Akos
author_sort Suranyi, Pal
collection PubMed
description BACKGROUND: Assessing the extent of ischemic and reperfusion-associated myocardial injuries remains challenging with current magnetic resonance imaging (MRI) techniques. Our aim was to develop a tissue characterization mapping (TCM) technique by combining late gadolinium enhancement (LGE) with our novel percent edema mapping (PEM) approach to enable the classification of tissue represented by MRI voxels as healthy, myocardial edema (ME), necrosis, myocardial hemorrhage (MH), or scar. METHODS: Six dogs underwent closed-chest myocardial infarct (MI) generation. Serial MRI scans were performed post-MI on days 3, 4, 6, 14, and 56, including T2 mapping and LGE. Dogs were sacrificed on day 4 (n = 4, acute MI) or day 56 (n = 2, chronic MI). TCMs were generated based on a voxel classification algorithm taking into account signal intensity from LGE and T2-based estimation of ME. TCM-based MI and MH were validated with post mortem triphenyl tetrazolium chloride (TTC) staining. Pearson’s correlation and Bland-Altman analyses were performed. RESULTS: The MI, ME, and MH measured by TCM were 13.4% [25(th)–75(th) percentile 1.6–28.8], 28.1% [2.1–37.5] and 4.3% [1.0–11.3], respectively. TCM measured higher MH and MI compared to TTC (p = 0.0033 and p = 0.0007, respectively). MH size was linearly correlated with MI size by both MRI (r = 0.9528, p < 0.0001) and TTC (r = 0.9625, p < 0.0001). MH quantification demonstrated good agreement between TCM and TTC (r = 0.8766, p < 0.0001, 2.4% overestimation by TCM). A similar correlation was observed for MI size (r = 0.9429, p < 0.0001, 6.1% overestimation by TCM). CONCLUSIONS: Preliminary results suggest that the TCM method is feasible for the in vivo localization and quantification of various MI-related tissue components.
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spelling pubmed-59093692018-04-24 Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction Suranyi, Pal Elgavish, Gabriel A. Schoepf, U. Joseph Ruzsics, Balazs Kiss, Pal van Assen, Marly Jacobs, Brian E. Brott, Brigitta C. Elgavish, Ada Varga-Szemes, Akos Eur Radiol Exp Original Article BACKGROUND: Assessing the extent of ischemic and reperfusion-associated myocardial injuries remains challenging with current magnetic resonance imaging (MRI) techniques. Our aim was to develop a tissue characterization mapping (TCM) technique by combining late gadolinium enhancement (LGE) with our novel percent edema mapping (PEM) approach to enable the classification of tissue represented by MRI voxels as healthy, myocardial edema (ME), necrosis, myocardial hemorrhage (MH), or scar. METHODS: Six dogs underwent closed-chest myocardial infarct (MI) generation. Serial MRI scans were performed post-MI on days 3, 4, 6, 14, and 56, including T2 mapping and LGE. Dogs were sacrificed on day 4 (n = 4, acute MI) or day 56 (n = 2, chronic MI). TCMs were generated based on a voxel classification algorithm taking into account signal intensity from LGE and T2-based estimation of ME. TCM-based MI and MH were validated with post mortem triphenyl tetrazolium chloride (TTC) staining. Pearson’s correlation and Bland-Altman analyses were performed. RESULTS: The MI, ME, and MH measured by TCM were 13.4% [25(th)–75(th) percentile 1.6–28.8], 28.1% [2.1–37.5] and 4.3% [1.0–11.3], respectively. TCM measured higher MH and MI compared to TTC (p = 0.0033 and p = 0.0007, respectively). MH size was linearly correlated with MI size by both MRI (r = 0.9528, p < 0.0001) and TTC (r = 0.9625, p < 0.0001). MH quantification demonstrated good agreement between TCM and TTC (r = 0.8766, p < 0.0001, 2.4% overestimation by TCM). A similar correlation was observed for MI size (r = 0.9429, p < 0.0001, 6.1% overestimation by TCM). CONCLUSIONS: Preliminary results suggest that the TCM method is feasible for the in vivo localization and quantification of various MI-related tissue components. Springer International Publishing 2018-03-16 /pmc/articles/PMC5909369/ /pubmed/29708212 http://dx.doi.org/10.1186/s41747-018-0037-6 Text en © The Author(s) 2018 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.
spellingShingle Original Article
Suranyi, Pal
Elgavish, Gabriel A.
Schoepf, U. Joseph
Ruzsics, Balazs
Kiss, Pal
van Assen, Marly
Jacobs, Brian E.
Brott, Brigitta C.
Elgavish, Ada
Varga-Szemes, Akos
Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction
title Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction
title_full Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction
title_fullStr Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction
title_full_unstemmed Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction
title_short Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction
title_sort myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel t2 map-based mri method in canine myocardial infarction
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909369/
https://www.ncbi.nlm.nih.gov/pubmed/29708212
http://dx.doi.org/10.1186/s41747-018-0037-6
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