Fibrillation number based on wavelength and critical mass in patients who underwent radiofrequency catheter ablation for atrial fibrillation

Minki Hwang, Junbeum Park, Young Seon Lee, Jae Hyung Park, Sung Hwan Choi, Eun Bo Shim, huinam pak

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The heart characteristic length, the inverse of conduction velocity (CV), and the inverse of the refractory period are known to determine vulnerability to cardiac fibrillation (fibrillation number, FibN) in in silico or ex vivo models. The purpose of this study was to validate the accuracy of FibN through in silico atrial modeling and to evaluate its clinical application in patients with atrial fibrillation (AF) who had undergone radiofrequency catheter ablation. We compared the maintenance duration of AF at various FibN AF values using in silico bidomain atrial modeling. Among 60 patients (72% male, 54 ± 13 years old, 82% with paroxysmal AF) who underwent circumferential pulmonary vein isolation (CPVI) for AF rhythm control, we examined the relationship between FibN AF and postprocedural AF inducibility or induction pacing cycle length (iPCL). Clinical FibN AF was calculated using left atrium (LA) dimension (echocardiogram), the inverse of CV, and the inverse of the atrial effective refractory periods measured at proximal and distal coronary sinus. In silico simulation found a positive correlation between AF maintenance duration and FibN AF (R = 0.90, p < 0.001). After clinical CPVI, FibN AF (0.296 ± 0.038 versus 0.192 ± 0.028, p < 0.001) was significantly higher in patients with postprocedural AF inducibility (n = 41) than in those without (n = 19). Among 41 patients with postprocedural AF inducibility, FibN AF (P = 0.935, p <0.001) had excellent correlations with induction pacing cycle length. FibN AF , based on LA mass and wavelength, correlates well with AF maintenance in computational modeling and clinical AF inducibility after CPVI.

Original languageEnglish
Article number6928436
Pages (from-to)673-679
Number of pages7
JournalIEEE Transactions on Biomedical Engineering
Volume62
Issue number2
DOIs
Publication statusPublished - 2015 Feb 1

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Catheters
Ablation
Wavelength
Refractory materials

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Cite this

Hwang, Minki ; Park, Junbeum ; Lee, Young Seon ; Park, Jae Hyung ; Choi, Sung Hwan ; Shim, Eun Bo ; pak, huinam. / Fibrillation number based on wavelength and critical mass in patients who underwent radiofrequency catheter ablation for atrial fibrillation. In: IEEE Transactions on Biomedical Engineering. 2015 ; Vol. 62, No. 2. pp. 673-679.
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abstract = "The heart characteristic length, the inverse of conduction velocity (CV), and the inverse of the refractory period are known to determine vulnerability to cardiac fibrillation (fibrillation number, FibN) in in silico or ex vivo models. The purpose of this study was to validate the accuracy of FibN through in silico atrial modeling and to evaluate its clinical application in patients with atrial fibrillation (AF) who had undergone radiofrequency catheter ablation. We compared the maintenance duration of AF at various FibN AF values using in silico bidomain atrial modeling. Among 60 patients (72{\%} male, 54 ± 13 years old, 82{\%} with paroxysmal AF) who underwent circumferential pulmonary vein isolation (CPVI) for AF rhythm control, we examined the relationship between FibN AF and postprocedural AF inducibility or induction pacing cycle length (iPCL). Clinical FibN AF was calculated using left atrium (LA) dimension (echocardiogram), the inverse of CV, and the inverse of the atrial effective refractory periods measured at proximal and distal coronary sinus. In silico simulation found a positive correlation between AF maintenance duration and FibN AF (R = 0.90, p < 0.001). After clinical CPVI, FibN AF (0.296 ± 0.038 versus 0.192 ± 0.028, p < 0.001) was significantly higher in patients with postprocedural AF inducibility (n = 41) than in those without (n = 19). Among 41 patients with postprocedural AF inducibility, FibN AF (P = 0.935, p <0.001) had excellent correlations with induction pacing cycle length. FibN AF , based on LA mass and wavelength, correlates well with AF maintenance in computational modeling and clinical AF inducibility after CPVI.",
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Fibrillation number based on wavelength and critical mass in patients who underwent radiofrequency catheter ablation for atrial fibrillation. / Hwang, Minki; Park, Junbeum; Lee, Young Seon; Park, Jae Hyung; Choi, Sung Hwan; Shim, Eun Bo; pak, huinam.

In: IEEE Transactions on Biomedical Engineering, Vol. 62, No. 2, 6928436, 01.02.2015, p. 673-679.

Research output: Contribution to journalArticle

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N2 - The heart characteristic length, the inverse of conduction velocity (CV), and the inverse of the refractory period are known to determine vulnerability to cardiac fibrillation (fibrillation number, FibN) in in silico or ex vivo models. The purpose of this study was to validate the accuracy of FibN through in silico atrial modeling and to evaluate its clinical application in patients with atrial fibrillation (AF) who had undergone radiofrequency catheter ablation. We compared the maintenance duration of AF at various FibN AF values using in silico bidomain atrial modeling. Among 60 patients (72% male, 54 ± 13 years old, 82% with paroxysmal AF) who underwent circumferential pulmonary vein isolation (CPVI) for AF rhythm control, we examined the relationship between FibN AF and postprocedural AF inducibility or induction pacing cycle length (iPCL). Clinical FibN AF was calculated using left atrium (LA) dimension (echocardiogram), the inverse of CV, and the inverse of the atrial effective refractory periods measured at proximal and distal coronary sinus. In silico simulation found a positive correlation between AF maintenance duration and FibN AF (R = 0.90, p < 0.001). After clinical CPVI, FibN AF (0.296 ± 0.038 versus 0.192 ± 0.028, p < 0.001) was significantly higher in patients with postprocedural AF inducibility (n = 41) than in those without (n = 19). Among 41 patients with postprocedural AF inducibility, FibN AF (P = 0.935, p <0.001) had excellent correlations with induction pacing cycle length. FibN AF , based on LA mass and wavelength, correlates well with AF maintenance in computational modeling and clinical AF inducibility after CPVI.

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