Journal of Cardiovascular Development and Disease (Sep 2023)

Evaluation of Pulmonary Vein Fibrosis Following Cryoballoon Ablation of Atrial Fibrillation: A Semi-Automatic MRI Analysis

  • Andrea Ballatore,
  • Erika Negrello,
  • Marco Gatti,
  • Mario Matta,
  • Paolo Desalvo,
  • Lorenzo Marcialis,
  • Stefania Marconi,
  • Davide Tore,
  • Massimo Magnano,
  • Arianna Bissolino,
  • Giulia De Lio,
  • Gaetano Maria De Ferrari,
  • Michele Conti,
  • Riccardo Faletti,
  • Matteo Anselmino

DOI
https://doi.org/10.3390/jcdd10090396
Journal volume & issue
Vol. 10, no. 9
p. 396

Abstract

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Current guidelines recommend the use of cardiac magnetic resonance imaging (MRI) for the management of atrial fibrillation (AF). However, the widespread use of cardiac MRI in clinical practice is difficult to achieve. The aim of the present study is to assess whether cardiac MRI can be adopted to identify ablation-induced fibrosis, and its relationship with AF recurrences. Fifty patients undergoing AF cryoballoon ablation were prospectively enrolled. Cardiac MRI was performed before and 30 days after the index ablation. Commercially available software and a specifically designed image processing workflow were used to quantify left atrium (LA) fibroses. Thirty-six patients were finally included in the analysis; twenty-eight were analyzed with the dedicated workflow. Acute electrical isolation was achieved in 98% of the treated pulmonary veins (PVs). After a median follow-up of 16 months, AF recurrences occurred in 12 patients (33%). In both analyses, no differences were found between the subgroups of patients with and without recurrence in the variation of either LA fibrosis or fibrosis at the ostium of the PV, before and after ablation. The ability to predict arrhythmic recurrences evaluated via the ROC curve of the variations in both LA fibrosis (AUC 0.566) and PV fibrosis (AUC 0.600) was low. Cardiac MRI holds the potential to provide clinically significant information on LA disease and AF progression; however, LA fibrosis cannot be easily identified, either by currently available commercial programs or custom tools.

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