scholarly journals Noninvasive Mapping of Repolarization With Electrocardiographic Imaging

2021 ◽  
Vol 10 (9) ◽  
Author(s):  
Yoram Rudy
Author(s):  
Luigi Pannone ◽  
Cinzia Monaco ◽  
Antonio Sorgente ◽  
Pasquale Vergara ◽  
Paul‐Adrian Calburean ◽  
...  

Background The rate of sudden cardiac death (SCD) in Brugada syndrome (BrS) is ≈1%/y. Noninvasive electrocardiographic imaging is a noninvasive mapping system that has a role in assessing BrS depolarization and repolarization abnormalities. This study aimed to analyze electrocardiographic imaging parameters during ajmaline test (AJT). Methods and Results All consecutive epicardial maps of the right ventricle outflow tract (RVOT‐EPI) in BrS with CardioInsight were retrospectively analyzed. (1) RVOT‐EPI activation time (RVOT‐AT); (2) RVOT‐EPI recovery time, and (3) RVOT‐EPI activation‐recovery interval (RVOT‐ARI) were calculated. ∆RVOT‐AT, ∆RVOT‐EPI recovery time, and ∆RVOT‐ARI were defined as the difference in parameters before and after AJT. SCD‐BrS patients were defined as individuals presenting a history of aborted SCD. Thirty‐nine patients with BrS were retrospectively analyzed and 12 patients (30.8%) were SCD‐BrS. After AJT, an increase in both RVOT‐AT [105.9 milliseconds versus 65.8 milliseconds, P <0.001] and RVOT‐EPI recovery time [403.4 milliseconds versus 365.7 milliseconds, P <0.001] was observed. No changes occurred in RVOT‐ARI [297.5 milliseconds versus 299.9 milliseconds, P =0.7]. Before AJT no differences were observed between SCD‐BrS and non SCD‐BrS in RVOT‐AT, RVOT‐EPI recovery time, and RVOT‐ARI ( P =0.9, P =0.91, P =0.86, respectively). Following AJT, SCD‐BrS patients showed higher RVOT‐AT, higher ∆RVOT‐AT, lower RVOT‐ARI, and lower ∆RVOT‐ARI ( P <0.001, P <0.001, P =0.007, P =0.002, respectively). At the univariate logistic regression, predictors of SCD‐BrS were the following: RVOT‐AT after AJT (specificity: 0.74, sensitivity 1.00, area under the curve 0.92); ∆RVOT‐AT (specificity: 0.74, sensitivity 0.92, area under the curve 0.86); RVOT‐ARI after AJT (specificity 0.96, sensitivity 0.58, area under the curve 0.79), and ∆RVOT‐ARI (specificity 0.85, sensitivity 0.67, area under the curve 0.76). Conclusions Noninvasive electrocardiographic imaging can be useful in evaluating the results of AJT in BrS.


2019 ◽  
Vol 11 (3) ◽  
pp. 459-471 ◽  
Author(s):  
Ghassen Cheniti ◽  
Stephane Puyo ◽  
Claire A. Martin ◽  
Antonio Frontera ◽  
Konstantinos Vlachos ◽  
...  

Heart Rhythm ◽  
2007 ◽  
Vol 4 (8) ◽  
pp. 1081-1084 ◽  
Author(s):  
Yong Wang ◽  
Phillip S. Cuculich ◽  
Pamela K. Woodard ◽  
Bruce D. Lindsay ◽  
Yoram Rudy

Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S174-S175
Author(s):  
Peter Henry Waddingham ◽  
Michele Orini ◽  
Jan Mangual ◽  
Amal G. Muthumala ◽  
Simon Sporton ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pavel Jurak ◽  
Laura R. Bear ◽  
Uyên Châu Nguyên ◽  
Ivo Viscor ◽  
Petr Andrla ◽  
...  

AbstractThe study introduces and validates a novel high-frequency (100–400 Hz bandwidth, 2 kHz sampling frequency) electrocardiographic imaging (HFECGI) technique that measures intramural ventricular electrical activation. Ex-vivo experiments and clinical measurements were employed. Ex-vivo, two pig hearts were suspended in a human-torso shaped tank using surface tank electrodes, epicardial electrode sock, and plunge electrodes. We compared conventional epicardial electrocardiographic imaging (ECGI) with intramural activation by HFECGI and verified with sock and plunge electrodes. Clinical importance of HFECGI measurements was performed on 14 patients with variable conduction abnormalities. From 3 × 4 needle and 108 sock electrodes, 256 torso or 184 body surface electrodes records, transmural activation times, sock epicardial activation times, ECGI-derived activation times, and high-frequency activation times were computed. The ex-vivo transmural measurements showed that HFECGI measures intramural electrical activation, and ECGI-HFECGI activation times differences indicate endo-to-epi or epi-to-endo conduction direction. HFECGI-derived volumetric dyssynchrony was significantly lower than epicardial ECGI dyssynchrony. HFECGI dyssynchrony was able to distinguish between intraventricular conduction disturbance and bundle branch block patients.


2007 ◽  
Vol 29 (3) ◽  
pp. 137-154 ◽  
Author(s):  
Kana Fujikura ◽  
Jianwen Luo ◽  
Viktor Gamarnik ◽  
Mathieu Pernot ◽  
Royd Fukumoto ◽  
...  

The pulse-wave velocity (PWV) has been used as an indicator of vascular stiffness, which can be an early predictor of cardiovascular mortality. A noninvasive, easily applicable method for detecting the regional pulse wave (PW) may contribute as a future modality for risk assessment. The purpose of this study was to demonstrate the feasibility and reproducibility of PW imaging (PWI) during propagation along the abdominal aortic wall by acquiring electrocardiography-gated (ECG-gated) radiofrequency (rf) signals noninvasively. An abdominal aortic aneurysm (AAA) was induced using a CaCl2 model in order to investigate the utility of this novel method for detecting disease. The abdominal aortas of twelve normal and five CaCl2, mice were scanned at 30 MHz and electrocardiography (ECG) was acquired simultaneously. The radial wall velocities were mapped with 8000 frames/s. Propagation of the PW was demonstrated in a color-coded ciné-loop format in all cases. In the normal mice, the wave propagated in linear fashion from a proximal to a distal region. However, in CaCl2 mice, multiple waves were initiated from several regions (i.e., most likely initiated from various calcified regions within the aortic wall). The regional PWV in normal aortas was 2.70 ± 0.54 m/s ( r2 = 0.85 ± 0.06, n = 12), which was in agreement with previous reports using conventional techniques. Although there was no statistical difference in the regional PWV between the normal and CaCl2-treated aortas (2.95 ± 0.90 m/s ( r2 = 0.51 ± 0.22, n = 5)), the correlation coefficient was found to be significantly lower in the CaCl2-treated aortas ( p<0.01). This state-of-the-art technique allows noninvasive mapping of vascular disease in vivo. In future clinical applications, it may contribute to the detection of early stages of cardiovascular disease, which may decrease mortality among high-risk patients.


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