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Performance and limitations of noninvasive cardiac activation mapping
Open accessAbstract
BACKGROUND: Activation mapping using noninvasive electrocardiographic imaging (ECGi) has recently been used to describe the physiology of different cardiac abnormalities. These descriptions differ from prior invasive studies, and both methods have not been thoroughly confronted in a clinical setting. OBJECTIVE: The goal of the present study was to provide validation of noninvasive activation mapping in a clinical setting through direct confrontation with invasive epicardial contact measures. METHODS: Fifty-nine maps were obtained in 55 patients and aligned on a common geometry. Nearest-neighbor interpolation was used to avoid map smoothing. Quantitative comparison was performed by computing between-map correlation coefficients and absolute activation time errors. RESULTS: The mean activation time error was 20.4 ± 8.6 ms, and the between-map correlation was poor (0.03 ± 0.43). The results suggested high interpatient variability (correlation -0.68 to 0.82), wide QRS patterns, and paced rhythms demonstrating significantly better mean correlation (0.68 ± 0.17). Errors were greater in scarred regions (21.9 ± 10.8 ms vs 17.5 ± 6.7 ms; P < .01). Fewer epicardial breakthroughs were imaged using noninvasive mapping (1.3 ± 0.5 vs 2.3 ± 0.7; P < .01). Primary breakthrough locations were imaged 75.7 ± 38.1 mm apart. Lines of conduction block (jumps of ≥50 ms between contiguous points) due to structural anomalies were recorded in 27 of 59 contact maps and were not visualized at these same sites noninvasively. Instead, artificial lines appeared in 33 of 59 noninvasive maps in regions of reduced bipolar voltage amplitudes (P = .03). An in silico model confirms these artificial constructs. CONCLUSION: Overall, agreement of ECGi activation mapping and contact mapping is poor and heterogeneous. The between-map correlation is good for wide QRS patterns. Lines of block and epicardial breakthrough sites imaged using ECGi are inaccurate. Further work is required to improve the accuracy of the technique.
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A large body of literature has provided evidence that MCG enhances the non-invasive diagnostic and prognostic capability in numerous clinical fields, including earlier detection of myocardial ischemia, preventive arrhythmogenic risk assessment in adults and fetuses, and diagnosis of inflammatory cardiomyopathy and microvascular diseases.
“Indeed, a large body of literature has provided evidence that MCG enhances the non-invasive diagnostic and prognostic capability in numerous clinical fields, such as but not limited to the earlier detection of (sometimes electrically silent) myocardial ischemia (59, 88, 90, 323, 319), the preventive arrhythmogenic risk assessment in adults (53, 225, 325–322) as well as in fetuses (83, 323, 324),”
From Clinical magnetocardiography: the unshielded bet—past, present, and future (2023) · cites this paper as [323]
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Metadata
- Authors
- Duchateau, J., Sacher, F., Pambrun, T., Derval, N., Chamorro-Servent, J., Denis, A., Ploux, S., Hocini, M., Jaïs, P., Bernus, O., Haïssaguerre, M., & Dubois, R.
- Affiliations
- Université de Bordeaux (FR)
- ORCID
- Venue
- Heart Rhythm
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 16
- Issue
- 3
- Pages
- 435-442
- ISSN
- 1547-5271 (ISSN-L)
- OpenAlex
- W2898464271
- Cited by
- 146
- References
- 32
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 21 · 2023: 17 · 2022: 15 · 2021: 28 · 2020: 23 · 2019: 23
- FWCI
- 14.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Heart Rhythm (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Agence Nationale de la Recherche (IHU LIRYC ANR-10-IAHU-04)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Arrhythmias and Treatments
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Keywords
- electrocardiographic imaging, interpatient variability, conduction block, myocardial scar, pacing, bipolar voltage, in silico models
- MeSH terms
- Adult, Arrhythmias, Cardiac, Electrocardiography, Female, Humans, Male, Middle Aged, Reproducibility of Results, Cohort Studies, Body Surface Potential Mapping, Epicardial Mapping
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