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The value of ablation parameter indices for predicting mature atrial scar formation in humans: An in vivo assessment using cardiac magnetic resonance imaging
Author(s) -
Chubb Henry,
Lal Kulvinder,
Kiedrowicz Radoslaw,
Karim Rashed,
Williams Steven E.,
Harrison James,
Whitaker John,
Wright Matthew,
Razavi Reza,
O’Neill Mark
Publication year - 2019
Publication title -
journal of cardiovascular electrophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.193
H-Index - 138
eISSN - 1540-8167
pISSN - 1045-3873
DOI - 10.1111/jce.13754
Subject(s) - medicine , ablation , magnetic resonance imaging , atrial fibrillation , predictive value , cardiology , radiofrequency ablation , nuclear medicine , rf ablation , catheter ablation , logistic regression , radiology
The VisiTag module (CARTO3) provides an objective assessment of radiofrequency (RF) ablation parameters. This study aimed to determine the predictive value and optimal VisiTag threshold settings for prediction of gaps in mature atrial scar, as assessed non‐invasively using cardiac magnetic resonance (CMR) imaging. Methods Twenty‐four subjects (11 paroxysmal atrial fibrillation) underwent first‐time RF ablation with operators blinded to VisiTag data. Three‐dimensional late gadolinium enhancement (LGE) CMR scans were performed at 3 months (1.3 × 1.3 × 4 mm 3 ). A survey of UK operators defined the standard VisiTag settings (“Force,” 8 g; “Time,” 10 seconds; “Percentage Time,” 50%; “Range,” 3 mm; “Impedance” and “Temperature” “off”). Each ablation procedure was exported 27 times, varying single VisiTag parameters from default values. The presence of gaps in VisiTag markers (18 sectors) was assessed for each export and compared with gaps in CMR enhancement. Results At default settings, VisiTag gaps were specific (97.5%) but less sensitive (50.4%) for CMR gaps. Sensitivity improved at higher thresholds (89.2% at 20 g, 85.6% at 30 seconds, 88.5% impedance 10 Ω, 92.8% temperature 42°C), but with a lower positive predictive value (PPV) (42.3%, 42.7%, 41.1%, and 37.7%, respectively, vs 90.9% at baseline). “Force” thresholds demonstrated stable PPV from 2 to 8 g ( P = 0.24), but a rapid fall at forces more than 10 g. The binomial logistic regression model explained 41.7% of gaps; χ 2 (4), 148; P < 0.0001, correctly classifying 82% of cases (specificity 94.9%, sensitivity 56.8%). Conclusion Gaps in VisiTags predict gaps in CMR LGE enhancement with high specificity at default settings. Sensitivity may be improved using more stringent thresholds but at the potential cost of unnecessary ablation, particularly when a force more than 10 g is stipulated.