OBJECTIVES: In an in vitro model, the authors tested the hypotheses that: 1) lesion dimensions correlate with lesion size index (LSI); and 2) LSI could predict lesion dimensions better than power, contact force (CF), and force-time integral (FTI). BACKGROUND: When performing radiofrequency (RF) catheter ablation for cardiac arrhythmias, reliable predictors of lesion quality are lacking. The LSI is a multiparametric index incorporating time, power, CF, and impedance recorded during ablation. METHODS: RF lesions were created on porcine myocardial slabs by using an open-tip irrigated catheter capable of real-time monitoring of catheter-tissue CF. Initially, 3 power settings of 20, 25, and 30 W were used with a fixed CF of 10 g. A fixed power of 20 W was then set with a CF of 20 and 30 g, thereby yielding a total of 5 ablation groups. In each group, LSI values of 5, 6, 7, and 8 were targeted. Sixty RF lesions were created by using 20 ablation protocols (3 lesions for each protocol). RESULTS: Lesion width and depth were not correlated with power or CF, but the results significantly correlated with FTI (p < 0.01) and LSI (p < 0.0001). Four steam pops occurred with power set at 30 W; no pops were noted with 20 or 25 W even when high LSI values were targeted. CONCLUSIONS: In this in vitro model, FTI and LSI predicted RF lesion dimensions, whereas power and CF did not. The LSI predictive value was higher than that of FTI. Steam pops occurred only using high ablation power levels, regardless of the targeted LSI.
OBJECTIVES: In an in vitro model, the authors tested the hypotheses that: 1) lesion dimensions correlate with lesion size index (LSI); and 2) LSI could predict lesion dimensions better than power, contact force (CF), and force-time integral (FTI). BACKGROUND: When performing radiofrequency (RF) catheter ablation for cardiac arrhythmias, reliable predictors of lesion quality are lacking. The LSI is a multiparametric index incorporating time, power, CF, and impedance recorded during ablation. METHODS: RF lesions were created on porcine myocardial slabs by using an open-tip irrigated catheter capable of real-time monitoring of catheter-tissue CF. Initially, 3 power settings of 20, 25, and 30 W were used with a fixed CF of 10 g. A fixed power of 20 W was then set with a CF of 20 and 30 g, thereby yielding a total of 5 ablation groups. In each group, LSI values of 5, 6, 7, and 8 were targeted. Sixty RF lesions were created by using 20 ablation protocols (3 lesions for each protocol). RESULTS:Lesion width and depth were not correlated with power or CF, but the results significantly correlated with FTI (p < 0.01) and LSI (p < 0.0001). Four steam pops occurred with power set at 30 W; no pops were noted with 20 or 25 W even when high LSI values were targeted. CONCLUSIONS: In this in vitro model, FTI and LSI predicted RF lesion dimensions, whereas power and CF did not. The LSI predictive value was higher than that of FTI. Steam pops occurred only using high ablation power levels, regardless of the targeted LSI.
Authors: Martina Zaltieri; Pietro Rossi; Stefano Bianchi; Marco Polselli; Marta Niscola; Veronica Fanti; Carlo Massaroni; Emiliano Schena; Filippo Maria Cauti Journal: J Interv Card Electrophysiol Date: 2022-02-17 Impact factor: 1.900
Authors: Sergio Castrejón-Castrejón; Marcel Martínez Cossiani; Marta Ortega Molina; Carlos Escobar; Consuelo Froilán Torres; Nerea Gonzalo Bada; Marta Díaz de la Torre; José Manuel Suárez Parga; José Luis López Sendón; José Luis Merino Journal: J Interv Card Electrophysiol Date: 2019-11-12 Impact factor: 1.900
Authors: Luca De Mattia; Martino Crosato; Stefano Indiani; Elena Causin; Claudia Licciardello; Paolo Antonio Maria Squasi; Alessandro De Leo; Vittorio Calzolari Journal: J Atr Fibrillation Date: 2018-04-30
Authors: José Manuel Alfonso-Almazán; Jorge G Quintanilla; María Jesús García-Torrent; Santiago Laguna-Castro; Cruz Rodríguez-Bobada; Pablo González; Juan José González-Ferrer; Pablo Salinas; Victoria Cañadas-Godoy; Javier Moreno; Luis Borrego-Bernabé; Nicasio Pérez-Castellano; José Jalife; Julián Perez-Villacastín; David Filgueiras-Rama Journal: Circ Arrhythm Electrophysiol Date: 2019-03
Authors: Martina Zaltieri; Greta Allegretti; Carlo Massaroni; Emiliano Schena; Filippo Maria Cauti Journal: Sensors (Basel) Date: 2020-11-13 Impact factor: 3.576