Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles
BackgroundChronic 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.ObjectiveThe aim of this study is to determine whether acute lesion visualization usi...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-01-01
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| Series: | Frontiers in Cardiovascular Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2021.791217/full |
| _version_ | 1818332688591880192 |
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| author | Abdel Hadi El Hajjar Chao Huang Yichi Zhang Mario Mekhael Charbel Noujaim Lilas Dagher Saihariharan Nedunchezhian Christopher Pottle Eugene Kholmovski Eugene Kholmovski Tarek Ayoub Aneesh Dhorepatil Michel Barakat Takano Yamaguchi Mihail Chelu Nassir Marrouche |
| author_facet | Abdel Hadi El Hajjar Chao Huang Yichi Zhang Mario Mekhael Charbel Noujaim Lilas Dagher Saihariharan Nedunchezhian Christopher Pottle Eugene Kholmovski Eugene Kholmovski Tarek Ayoub Aneesh Dhorepatil Michel Barakat Takano Yamaguchi Mihail Chelu Nassir Marrouche |
| author_sort | Abdel Hadi El Hajjar |
| collection | DOAJ |
| description | BackgroundChronic 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.ObjectiveThe 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.MethodsFocal 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 (R2 = 0.75).ConclusionChronic 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. |
| first_indexed | 2024-12-13T13:39:43Z |
| format | Article |
| id | doaj.art-b4c908be79da4ab6b6a9814127b47284 |
| institution | Directory Open Access Journal |
| issn | 2297-055X |
| language | English |
| last_indexed | 2024-12-13T13:39:43Z |
| publishDate | 2022-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj.art-b4c908be79da4ab6b6a9814127b472842022-12-21T23:43:37ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2022-01-01810.3389/fcvm.2021.791217791217Acute Lesion Imaging in Predicting Chronic Tissue Injury in the VentriclesAbdel Hadi El Hajjar0Chao Huang1Yichi Zhang2Mario Mekhael3Charbel Noujaim4Lilas Dagher5Saihariharan Nedunchezhian6Christopher Pottle7Eugene Kholmovski8Eugene Kholmovski9Tarek Ayoub10Aneesh Dhorepatil11Michel Barakat12Takano Yamaguchi13Mihail Chelu14Nassir Marrouche15Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesDepartment of Cardiology, PeaceHealth, Bellingham, WA, United StatesDepartment of Cardiology, Saga University, Saga, JapanBaylor Heart Clinic, Baylor College of Medicine, Houston, TX, United StatesTulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United StatesBackgroundChronic 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.ObjectiveThe 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.MethodsFocal 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 (R2 = 0.75).ConclusionChronic 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.https://www.frontiersin.org/articles/10.3389/fcvm.2021.791217/fullarrhythmiaventricular ablationcatheter ablationanimal modelelectrophysiology |
| spellingShingle | Abdel Hadi El Hajjar Chao Huang Yichi Zhang Mario Mekhael Charbel Noujaim Lilas Dagher Saihariharan Nedunchezhian Christopher Pottle Eugene Kholmovski Eugene Kholmovski Tarek Ayoub Aneesh Dhorepatil Michel Barakat Takano Yamaguchi Mihail Chelu Nassir Marrouche Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles Frontiers in Cardiovascular Medicine arrhythmia ventricular ablation catheter ablation animal model electrophysiology |
| 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 | arrhythmia ventricular ablation catheter ablation animal model electrophysiology |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2021.791217/full |
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