Your browser doesn't support javascript.
loading
Prediction of radiofrequency ablation lesion formation using a novel temperature sensing technology incorporated in a force sensing catheter.
Rozen, Guy; Ptaszek, Leon; Zilberman, Israel; Cordaro, Kevin; Heist, E Kevin; Beeckler, Christopher; Altmann, Andres; Ying, Zhang; Liu, Zhenjiang; Ruskin, Jeremy N; Govari, Assaf; Mansour, Moussa.
Afiliação
  • Rozen G; Heart Center, Massachusetts General Hospital, Boston, Massachusetts.
  • Ptaszek L; Heart Center, Massachusetts General Hospital, Boston, Massachusetts.
  • Zilberman I; Biosense Webster Inc, Diamond Bar, California.
  • Cordaro K; Heart Center, Massachusetts General Hospital, Boston, Massachusetts.
  • Heist EK; Heart Center, Massachusetts General Hospital, Boston, Massachusetts.
  • Beeckler C; Biosense Webster Inc, Diamond Bar, California.
  • Altmann A; Biosense Webster Inc, Diamond Bar, California.
  • Ying Z; Heart Center, Massachusetts General Hospital, Boston, Massachusetts.
  • Liu Z; Heart Center, Massachusetts General Hospital, Boston, Massachusetts.
  • Ruskin JN; Heart Center, Massachusetts General Hospital, Boston, Massachusetts.
  • Govari A; Biosense Webster Inc, Diamond Bar, California.
  • Mansour M; Heart Center, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: mmansour@mgh.harvard.edu.
Heart Rhythm ; 14(2): 248-254, 2017 02.
Article em En | MEDLINE | ID: mdl-28104089
ABSTRACT

BACKGROUND:

Real-time radiofrequency (RF) ablation lesion assessment is a major unmet need in cardiac electrophysiology.

OBJECTIVE:

The purpose of this study was to assess whether improved temperature measurement using a novel thermocoupling (TC) technology combined with information derived from impedance change, contact force (CF) sensing, and catheter orientation allows accurate real-time prediction of ablation lesion formation.

METHODS:

RF ablation lesions were delivered in the ventricles of 15 swine using a novel externally irrigated-tip catheter containing 6 miniature TC sensors in addition to force sensing technology. Ablation duration, power, irrigation rate, impedance drop, CF, and temperature from each sensor were recorded. The catheter "orientation factor" was calculated using measurements from the different TC sensors. Information derived from all the sources was included in a mathematical model developed to predict lesion depth and validated against histologic measurements.

RESULTS:

A total of 143 ablation lesions were delivered to the left ventricle (n = 74) and right ventricle (n = 69). Mean CF applied during the ablations was 14.34 ± 3.55g, and mean impedance drop achieved during the ablations was 17.5 ± 6.41 Ω. Mean difference between predicted and measured ablation lesion depth was 0.72 ± 0.56 mm. In the majority of lesions (91.6%), the difference between estimated and measured depth was ≤1.5 mm.

CONCLUSION:

Accurate real-time prediction of RF lesion depth is feasible using a novel ablation catheter-based system in conjunction with a mathematical prediction model, combining elaborate temperature measurements with information derived from catheter orientation, CF sensing, impedance change, and additional ablation parameters.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Cicatriz / Ablação por Cateter / Ventrículos do Coração / Cuidados Intraoperatórios Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Cicatriz / Ablação por Cateter / Ventrículos do Coração / Cuidados Intraoperatórios Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article