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Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles
BACKGROUND: Chronic lesion formation after cardiac tissue ablation is an important indicator for procedural outcome. Moreover, there is a lack of knowledge regarding the features that predict chronic lesion formation. OBJECTIVE: The aim of this study is to determine whether acute lesion visualizatio...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831749/ https://www.ncbi.nlm.nih.gov/pubmed/35155604 http://dx.doi.org/10.3389/fcvm.2021.791217 |
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author | El Hajjar, Abdel Hadi Huang, Chao Zhang, Yichi Mekhael, Mario Noujaim, Charbel Dagher, Lilas Nedunchezhian, Saihariharan Pottle, Christopher Kholmovski, Eugene Ayoub, Tarek Dhorepatil, Aneesh Barakat, Michel Yamaguchi, Takano Chelu, Mihail Marrouche, Nassir |
author_facet | El Hajjar, Abdel Hadi Huang, Chao Zhang, Yichi Mekhael, Mario Noujaim, Charbel Dagher, Lilas Nedunchezhian, Saihariharan Pottle, Christopher Kholmovski, Eugene Ayoub, Tarek Dhorepatil, Aneesh Barakat, Michel Yamaguchi, Takano Chelu, Mihail Marrouche, Nassir |
author_sort | El Hajjar, Abdel Hadi |
collection | PubMed |
description | BACKGROUND: Chronic lesion formation after cardiac tissue ablation is an important indicator for procedural outcome. Moreover, there is a lack of knowledge regarding the features that predict chronic lesion formation. OBJECTIVE: The aim of this study is to determine whether acute lesion visualization using late gadolinium enhanced magnetic resonance imaging (LGE-MRI) can reliably predict chronic lesion size. METHODS: Focal lesions were created in left and right ventricles of canine models using either radiofrequency (RF) ablation or cryofocal ablation. Multiple ablation parameters were used. The first LGE-MRI was acquired within 1–5 h post-ablation and the second LGE-MRI was obtained 47–82 days later. Corview software was used to perform lesion segmentations and size calculations. RESULTS: Fifty-Five lesions were created in different locations in the ventricles. Chronic volume size decreased by a mean of 62.5 % (95% CI 58.83–67.97, p < 0.0005). Similar regression of lesion volume was observed regardless of ablation location (p = 0.32), ablation technique (p = 0.94), duration (p = 0.37), power (p = 0.55) and whether lesions were connected or not (p = 0.35). There was no significant difference in lesion volume reduction assessed at 47–54 days and 72–82 days after ablation (p = 0.31). Chronic lesion volume was equal to 0.32 of the acute lesion volumes (R(2) = 0.75). CONCLUSION: Chronic tissue injury related to catheter ablation can be reliably modeled as a linear function of the acute lesion volume as assessed by LGE-MRI, regardless of the ablation parameters. |
format | Online Article Text |
id | pubmed-8831749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88317492022-02-12 Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles El Hajjar, Abdel Hadi Huang, Chao Zhang, Yichi Mekhael, Mario Noujaim, Charbel Dagher, Lilas Nedunchezhian, Saihariharan Pottle, Christopher Kholmovski, Eugene Ayoub, Tarek Dhorepatil, Aneesh Barakat, Michel Yamaguchi, Takano Chelu, Mihail Marrouche, Nassir Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Chronic lesion formation after cardiac tissue ablation is an important indicator for procedural outcome. Moreover, there is a lack of knowledge regarding the features that predict chronic lesion formation. OBJECTIVE: The aim of this study is to determine whether acute lesion visualization using late gadolinium enhanced magnetic resonance imaging (LGE-MRI) can reliably predict chronic lesion size. METHODS: Focal lesions were created in left and right ventricles of canine models using either radiofrequency (RF) ablation or cryofocal ablation. Multiple ablation parameters were used. The first LGE-MRI was acquired within 1–5 h post-ablation and the second LGE-MRI was obtained 47–82 days later. Corview software was used to perform lesion segmentations and size calculations. RESULTS: Fifty-Five lesions were created in different locations in the ventricles. Chronic volume size decreased by a mean of 62.5 % (95% CI 58.83–67.97, p < 0.0005). Similar regression of lesion volume was observed regardless of ablation location (p = 0.32), ablation technique (p = 0.94), duration (p = 0.37), power (p = 0.55) and whether lesions were connected or not (p = 0.35). There was no significant difference in lesion volume reduction assessed at 47–54 days and 72–82 days after ablation (p = 0.31). Chronic lesion volume was equal to 0.32 of the acute lesion volumes (R(2) = 0.75). CONCLUSION: Chronic tissue injury related to catheter ablation can be reliably modeled as a linear function of the acute lesion volume as assessed by LGE-MRI, regardless of the ablation parameters. Frontiers Media S.A. 2022-01-28 /pmc/articles/PMC8831749/ /pubmed/35155604 http://dx.doi.org/10.3389/fcvm.2021.791217 Text en Copyright © 2022 El Hajjar, Huang, Zhang, Mekhael, Noujaim, Dagher, Nedunchezhian, Pottle, Kholmovski, Ayoub, Dhorepatil, Barakat, Yamaguchi, Chelu and Marrouche. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine El Hajjar, Abdel Hadi Huang, Chao Zhang, Yichi Mekhael, Mario Noujaim, Charbel Dagher, Lilas Nedunchezhian, Saihariharan Pottle, Christopher Kholmovski, Eugene Ayoub, Tarek Dhorepatil, Aneesh Barakat, Michel Yamaguchi, Takano Chelu, Mihail Marrouche, Nassir Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles |
title | Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles |
title_full | Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles |
title_fullStr | Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles |
title_full_unstemmed | Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles |
title_short | Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles |
title_sort | acute lesion imaging in predicting chronic tissue injury in the ventricles |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831749/ https://www.ncbi.nlm.nih.gov/pubmed/35155604 http://dx.doi.org/10.3389/fcvm.2021.791217 |
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