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This study was supported by the Instituto de Salud Carlos III PI20/00693/CB16/11/00354, cofunded by the European Union and grant 2021_SGR_01350, SGR21/GENCAT, Spain.

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Personalized voltage maps guided by cardiac magnetic resonance in the era of high-density mapping

Publicado en:Heart Rhythm. 21 (10): 1811-1819 - 2024-10-01 21(10), DOI: 10.1016/j.hrthm.2024.04.074

Autores: Vazquez-Calvo, Sara; Garre, Paz; Ferro, Elisenda; Sanchez-Somonte, Paula; Guichard, Jean-Baptiste; Falzone, Pasquale Valerio; Guasch, Eduard; Porta-Sanchez, Andreu; Tolosana, Jose Maria; Borras, Roger; Arbelo, Elena; Ortiz-Perez, Jose T; Prats, Susana; Perea, Rosario J; Brugada, Josep; Mont, Lluis; Roca-Luque, Ivo

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Background Voltage mapping could identify the conducting channels potentially responsible for ventricular tachycardia (VT). Standard thresholds (0.5-1.5 mV) were established using bipolar catheters. No thresholds have been analyzed with high-density mapping catheters. In addition, channels identified by cardiac magnetic resonance (CMR) has been proven to be related with VT. Objective The purpose of this study was to analyze the diagnostic yield of a personalized voltage map using CMR to guide the adjustment of voltage thresholds. Methods All consecutive patients with scar-related VT undergoing ablation after CMR (from October 2018 to December 2020) were included. First, personalized CMR-guided voltage thresholds were defined systematically according to the distribution of the scar and channels. Second, to validate these new thresholds, a comparison with standard thresholds (0.5-1.5 mV) was performed. Tissue characteristics of areas identified as deceleration zones (DZs) were recorded for each pair of thresholds. In addition, the relation of VT circuits with voltage channels was analyzed for both maps. Results Thirty-two patients were included [mean age 66.6 +/- 11.2 years; 25 (78.1%) ischemic cardiomyopathy]. Overall, 52 DZs were observed: 44.2% were identified as border zone tissue with standard cutoffs vs 75.0% using personalized voltage thresholds (P = .003). Of the 31 VT isthmuses detected, only 35.5% correlated with a voltage channel with standard thresholds vs 74.2% using adjusted thresholds (P = .005). Adjusted cutoff bipolar voltages that better matched CMR images were 0.51 +/- 0.32 and 1.79 +/- 0.71 mV with high interindividual variability (from 0.14-1.68 to 0.7-3.21 mV). Conclusion Personalized voltage CMR-guided personalized voltage maps enable a better identification of the substrate with a higher correlation with both DZs and VT isthmuses than do conventional voltage maps using fixed thresholds.

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