Tags

Type your tag names separated by a space and hit enter

Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles.
Front Cardiovasc Med. 2021; 8:791217.FC

Abstract

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 (R2 = 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.

Links

PMC Free PDF

Authors+Show Affiliations

El Hajjar AH
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Huang C
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Zhang Y
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Mekhael M
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Noujaim C
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Dagher L
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Nedunchezhian S
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Pottle C
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Kholmovski E
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.
Ayoub T
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Dhorepatil A
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.
Barakat M
Department of Cardiology, PeaceHealth, Bellingham, WA, United States.
Yamaguchi T
Department of Cardiology, Saga University, Saga, Japan.
Chelu M
Baylor Heart Clinic, Baylor College of Medicine, Houston, TX, United States.
Marrouche N
Tulane Research Innovation for Arrhythmia Discoveries, Tulane University School of Medicine, New Orleans, LA, United States.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

35155604

Citation

El Hajjar, Abdel Hadi, et al. "Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles." Frontiers in Cardiovascular Medicine, vol. 8, 2021, p. 791217.
El Hajjar AH, Huang C, Zhang Y, et al. Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles. Front Cardiovasc Med. 2021;8:791217.
El Hajjar, A. H., Huang, C., Zhang, Y., Mekhael, M., Noujaim, C., Dagher, L., Nedunchezhian, S., Pottle, C., Kholmovski, E., Ayoub, T., Dhorepatil, A., Barakat, M., Yamaguchi, T., Chelu, M., & Marrouche, N. (2021). Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles. Frontiers in Cardiovascular Medicine, 8, 791217. https://doi.org/10.3389/fcvm.2021.791217
El Hajjar AH, et al. Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles. Front Cardiovasc Med. 2021;8:791217. PubMed PMID: 35155604.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Acute Lesion Imaging in Predicting Chronic Tissue Injury in the Ventricles. AU - El Hajjar,Abdel Hadi, AU - Huang,Chao, AU - Zhang,Yichi, AU - Mekhael,Mario, AU - Noujaim,Charbel, AU - Dagher,Lilas, AU - Nedunchezhian,Saihariharan, AU - Pottle,Christopher, AU - Kholmovski,Eugene, AU - Ayoub,Tarek, AU - Dhorepatil,Aneesh, AU - Barakat,Michel, AU - Yamaguchi,Takano, AU - Chelu,Mihail, AU - Marrouche,Nassir, Y1 - 2022/01/28/ PY - 2021/10/08/received PY - 2021/12/07/accepted PY - 2022/2/14/entrez PY - 2022/2/15/pubmed PY - 2022/2/15/medline KW - animal model KW - arrhythmia KW - catheter ablation KW - electrophysiology KW - ventricular ablation SP - 791217 EP - 791217 JF - Frontiers in cardiovascular medicine JO - Front Cardiovasc Med VL - 8 N2 - 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 (R2 = 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. SN - 2297-055X UR - https://www.unboundmedicine.com/medline/citation/35155604/Acute_Lesion_Imaging_in_Predicting_Chronic_Tissue_Injury_in_the_Ventricles_ DB - PRIME DP - Unbound Medicine ER -