The value of ablation parameter indices for predicting mature atrial scar formation in humans: An in vivo assessment using cardiac magnetic resonance imaging
Introduction 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 magne...
Saved in:
Published in | Journal of cardiovascular electrophysiology Vol. 30; no. 1; pp. 67 - 77 |
---|---|
Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.01.2019
|
Subjects | |
Online Access | Get full text |
ISSN | 1045-3873 1540-8167 1540-8167 |
DOI | 10.1111/jce.13754 |
Cover
Summary: | Introduction
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 mm3). 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. |
---|---|
Bibliography: | This study was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre award to Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London, by the NIHR Healthcare Technology Co‐operative for Cardiovascular Disease at Guy’s and St Thomas’ NHS Foundation Trust, and by the Cardiovascular HTC. Other authors: No disclosures. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1045-3873 1540-8167 1540-8167 |
DOI: | 10.1111/jce.13754 |