Right ventricular electromechanical dyssynchrony in adults with repaired Tetralogy of Fallot

1. Introduction

Right ventricular (RV) functional assessment in adults with repaired Tetralogy of Fallot (ToF) is challenging and complicated by conduction aberrations, regional wall dyskinesia following surgical repair and remodelling due to residual pulmonary valve regurgitation (1). RV electromechanical dyssynchrony may develop as a result of these factors and is thought to lead to progressive dysfunction and increased risk of ventricular arrhythmias (2, 3). QRS prolongation secondary to right bundle branch block (RBBB) causes early septal depolarization and delayed activation of the RV free wall (4, 5). Mechanically, an abrupt rightward septal movement in early systole, with concomitant stretch and subsequent post-systolic shortening of the basal RV free wall reduces effective shortening time (3). As a result, increased mechanical dispersion within the RV segments contributes to an inefficient RV contraction pattern and compromises diastolic filling (1, 6). In recent years, speckle tracking echocardiography (STE) has emerged as a modality to quantify RV dyssynchrony. From an apical four-chamber echocardiographic view, RV deformational timings are measureable and mechanical dispersion amongst the RV lateral wall and septal segments can be derived (3–8). However, this single plane two-dimensional approach overlooks regional RV wall abnormalities which are present in ToF patients. The anterior outflow tract region is frequently dyskinetic following initial repair and/or subsequent valvular intervention, whilst other free wall regions may be impacted by subsequent remodelling (9, 10). Using novel two-dimensional multi-plane echocardiographic imaging (2D-MPE), the anterior and inferior RV free wall regions can be evaluated in addition to the lateral wall. Acquisitions are made from one apical acoustic window using electronic plane rotation at suitable temporal resolutions for deformational analysis (11, 12). This study therefore aims to evaluate the synchronicity of multiple RV walls in order to augment current understanding of the mechanisms behind RV dyssynchrony.

2. Methods

2.1. Study population

ToF patients who had undergone detailed imaging of the RV with 2D-MPE during routine outpatient follow up at our ACHD centre were included in this study. In addition to two- and three-dimensional trans-thoracic echocardiogram (2D/3D-TTE), all individuals on the same day had a 12 lead electrocardiogram (ECG). Cardiovascular magnetic resonance (CMR), Holter and exercise test data were included if performed within ninety days of the TTE and ECG. Patients were excluded from analysis when RV free wall strain was only measurable in one wall. A control group of age and gender matched healthy individuals was used for comparison of RV deformational and synchronicity parameters, none of whom underwent CMR. The study was carried out according to the principles of the Declaration of Helsinki, was approved by the local medical ethics committee and written informed consent was obtained from all subjects.

2.2. Echocardiographic acquisition and conventional measurements

An extensive TTE protocol was carried out according to international guidelines (13) with additional focus on RV structure and function by acquiring 2D-MPE and 3D-TTE recordings. All TTEs were performed by sonographers specialised in congenital echocardiography. Studies were acquired using an EPIQ7 ultrasound system (Philips Medical Systems, Best, The Netherlands) equipped with an X5-1 matrix array transducer (composed of 3,040 elements with 1–5 MHz). Spatial and temporal resolution were optimised for 2D RV focused images in order to perform strain analysis offline. 3D recordings of the right heart were either multi-beat full volume acquisitions or made with single beat HeartModel software (Philips Medical Systems). Recordings were optimised to include the right ventricle at the highest possible volume rate with slight over gaining of the 2D image. Conventional 2D echocardiographic parameters for left and right heart size and function were collected in addition to the grading of any valvular lesions as either less than (<) or equal or greater than (≥) moderate in severity using parameters as documented in published guidelines (14, 15). RV basal, mid and longitudinal linear dimensions alongside fractional area change (FAC) were measured in the standard focused RV apical four chamber view. Tricuspid annular plane systolic excursion (TAPSE) and tissue Doppler imaging derived tricuspid annular peak systolic velocity (RV-S') were measured at the basal RV lateral wall.

2.3. Advanced right ventricular assessment by 2D multi-plane and 3D echocardiography

The evaluation of regional RV wall function by 2D multi-plane echocardiography has been well documented in our previous publications (12, 16). In short, from a fixed apical probe position, electronic plane rotation around the RV apex allows visualisation of different RV free wall regions. Each RV wall is confirmed by the presence of a certain left-sided landmark associated with an approximate degree of electronic rotation. Throughout imaging, the RV should be non-foreshortened with the RV apex and interventricular septum centred along or as near to the midline of the imaging sector as possible. For this study, three views were utilised visualising the lateral, anterior and inferior RV wall regions. The first view at 0˚ shows the lateral RV wall with the left sided landmark being the mitral valve. The second view at approximately +40˚ shows the anterior RV wall and the coronary sinus and thirdly at approximately −40˚ the inferior RV wall and the aortic valve (Figure 1, Supplementary Videos S1–S3). The RV datasets were digitally exported to a vendor-neutral server (TomTec Imaging Systems, Unterschleissheim, Germany) and data analysis was performed offline by one experienced observer (DB). To assess peak systolic RV longitudinal strain, an RV algorithm wall motion tracking software was used (2D CPA, Image-Arena version 4.6; TomTec Imaging Systems). RV systole was determined as the time interval from electrocardiographic QRS onset to minimum RV cavity size, which was used as a surrogate for pulmonary valve closure. The endocardial borders of the RV free wall and septum were manually traced at end systole and adjusted accordingly in end diastole if required. This was performed in each of the other multi-plane views previously described. A single segment RV longitudinal strain (RV-LS) value for each wall was derived from the average of the basal, mid and apical segments. A measurement was considered feasible if all portions of the RV wall tracked acceptably throughout the cardiac cycle. If tracking was deemed inaccurate, the wall was excluded from analysis. The 3D datasets were digitally exported to the same TomTec server and analysed by DB using specialised RV analysis software (TomTec 4D-RV function 2.0). After placing set landmarks, RV volumes and ejection fraction (RVEF) were automatically calculated, with manual adjustment performed where necessary. In cases of inadequate tracking, the dataset was deemed unfeasible to measure and excluded from analysis.

FIGURE 1

Figure 1. Multi-plane imaging of the right ventricle (RV) using 2D multi-plane echocardiography. Views obtained by electronic plane rotation around a single RV focused apical echocardiographic position. 0° rotation: lateral wall; +40°: anterior wall; −40°: inferior wall.

2.4. Measures of electromechanical dyssynchrony

Parameters used to measure RV dyssynchrony are detailed in Table 1, Figure 2. Speckle tracking (STE) analysis of the basal and mid segments of the RV walls and septum were used with the apical segments excluded owing to high variability reported by previous studies (7). The time to peak longitudinal strain value (TTP-LS) of each segment was corrected for heart rate ([timing/R-R interval]×1000). RBBB-induced intra-RV depolarization delay results in early activation of the septum and late activation of the RV free wall, with the basal segment last to contract. In concurrence with the study by Hui et al. (6), intra-RV deformation delay was quantified as the difference in TTP-LS between the basal RV wall and mid-septum (RV wall-septum delay). Mechanical dispersion was calculated as the standard deviation of average TTP-LS values across the four basal to mid segments of the septum and RV lateral wall (MD-4). Furthermore, a six and eight segment “global” mechanical dispersion value was calculated when TTP-LS of other RV wall basal-mid segments were measureable in an individual (MD-6: inclusive anterior or inferior wall; MD-8: inclusive anterior and inferior walls). Significant post systolic shortening (PSS) of the basal RV wall segment was identified if peak strain occurred two or more frames following the end systolic marker. Significant pre-stretch (PS) was determined visually whereby the curve of the basal RV segment demonstrated sustained positive strain in early systole. The presence of a greater degree of RV dyssynchrony in ToF patients was determined using the upper 95% limit of normal (mean ± 2SD) of MD-4 values from the control group.

FIGURE 2

Figure 2. RV segmental strain curves in a repaired ToF patient with evidence of right ventricular (RV) dyssynchrony. Time to peak longitudinal strain (A) of the RV lateral wall and septum is measured at the basal and mid segments. There is presence of basal lateral wall pre-stretch (B) and post systolic shortening of the basal lateral wall and basal to mid septum (C). These characteristics result in a reduced effective shortening time (D).

TABLE 1

Table 1. Definitions of RV dyssynchrony parameters.

2.5. Cardiovascular magnetic resonance

CMR images were acquired using a Sigma 1.5-T whole-body scanner (GE Medical Systems, Milwaukee, WI) with dedicated phased-array cardiac surface coils. Details of the MR sequence used have been reported previously (17). Analysis of the CMR sequence was performed using a commercially available Advanced Windows workstation (GE Medical Systems) equipped with Q-mass (version 5.2, Medis Medical Imaging Systems, Leiden, the Netherlands). The ventricular volumetric dataset was quantitatively analysed by manually outlining RV endocardial borders in end systole and end diastole, excluding large trabeculae and the papillary muscles from the blood volume. RV end-diastolic and end-systolic volumes (indexed for body surface area), plus RV ejection fraction (RVEF) were calculated.

2.6. Clinical parameters

Clinically relevant arrhythmias were defined as the presence of >100 isolated ventricular ectopic beats or >20 couplets/non-sustained runs documented over a 24 h period (18). Exercise tolerance was presented using results from exercise-ECG or cardiopulmonary exercise testing (CPET). The percentage of predicted physical work capacity and peak oxygen consumption were collected. Exercise intolerance was defined as <70% of one of the respective predictive peak values.

2.6.1. Statistical analysis

The distribution of data was assessed using histograms and the Shapiro–Wilk test. Depending on the data distribution, continuous data is presented as mean ± standard deviation (SD) or median [inter-quartile range], whilst categorical data is presented as frequencies and percentages. For comparison of normally distributed continuous variables the independent samples T-test was used and in case of skewed distribution, the Mann–Whitney U-test was applied. For comparison of frequencies the X² test was used. The paired T-test was used for comparison of within-subject continuous parameters which were normally distributed, whilst the Wilcoxon Signed Rank test was used in case of skewed distribution. The Pearson correlation coefficient (r) was used to correlate measures of RV mechanical dispersion with CMR-derived RVEF. Multivariable linear regression analysis was undertaken with selected parameters (QRS duration; incidence of pulmonary valve re-intervention; trans-annular patch at initial repair; degree of pulmonary regurgitation; RV lateral wall strain). If parameters were suspected to be collinear, the multivariable analysis only included the parameter with the highest univariable correlation. Intra-observer agreement was assessed by repeated analysis in a random sample of twenty ToF study subjects performed at least six months after the initial analysis and blinded to the initial results. Assessment of inter-observer agreement was performed by a second experienced observer in the same sample (BB). The agreement between two measurements was determined as the mean of the differences +1.96 SD. Additionally, the intra-class correlation coefficient (ICC) was provided. All statistical analyses were performed using the Statistical Package for Social Sciences version 25 (SPSS, Inc., Armonk, NY, USA). The statistical tests were two-sided and a p-value < 0.05 was considered statistically significant.

3. Results

3.1. Demographics

One hundred and one ToF patients who had undergone detailed imaging of the RV with 2D-MPE in our ACHD centre were evaluated for study inclusion. Sixty-nine patients [age = 33 (23–45) years; 61% male] were ultimately included in the study whereby RV free wall strain was measurable in two or more RV walls, in addition to the RV septum. Thirty-two patients were excluded, predominantly due to poor image quality for strain analysis (Figure 3). Thirty-one (45%) patients had undergone CMR within ninety days of TTE, of which nineteen (61%) were same day examinations. Holter data was available in 25 (36%) patients, exercise-ECG in 34 (49%) and CPET in 19 (28%). Thirty-six (52%) patients had a transannular patch at initial repair, whilst thirty (43%) patients had undergone at least one subsequent pulmonary valve re-intervention. Twenty-five healthy individuals [age = 34 (25–46) years; 52% male] were included in the control group.

FIGURE 3

Figure 3. Study inclusion.

3.2. Baseline characteristics

Demographic, ECG, CMR and TTE data are detailed in Table 2. There were no significant differences in age, gender or body mass index between patients and control subjects. Forty-eight (71%) ToF patients had RBBB on ECG, eleven (16%) had RBBB plus left anterior fascicular block, whilst the remaining nine (13%) patients had no clear bundle branch block pattern. The number of ToF patients with ≥ moderate right sided valve disease was as follows: pulmonary valve insufficiency – 35 (51%); pulmonary valve stenosis – 8 (12%); tricuspid regurgitation – 4 (6%). Left ventricular systolic function was widely preserved [n = 67 (97%)]. Of the ToF patients who underwent CMR, RVEF was 46 ± 9%.

TABLE 2

Table 2. Baseline characteristics and echocardiography.

3.3. RV multi-wall deformation and synchronicity

Table 3 demonstrates all multi-wall longitudinal strain and synchronicity parameters in ToF patients and healthy controls. Whilst lateral wall LS was performed in all ToF patients, measurement feasibility was lower for the anterior [52 patients (75%)] and inferior walls [65 (94%)]. All RV walls were measureable in 48 (70%) patients and all healthy controls. LS values of all RV walls and septum were significantly lower in ToF patients compared to controls (p < 0.001). In ToF patients, LS was lower in the anterior wall (−18 ± 4%) compared to the lateral [−20 ± 4% (p = 0.001)] and inferior walls [−20 ± 4% (p = 0.008)]. Figure 4 demonstrates TTP-LS values across the basal RV walls and mid septum. In controls, TTP-LS occurred almost simultaneously across these segments, whilst in ToF patients regional differences were evident. In ToF, TTP-LS of all RV walls was significantly longer than that of the septum (p < 0.001). Furthermore, TTP-LS was longer in the lateral (409 ± 68 ms) and anterior (415 ± 80 ms) walls compared to the inferior wall [394 ± 68 ms (anterior vs. inferior wall, p = 0.04)]. This resulted in long intra-RV delays between the basal wall and mid-septal segments (lateral wall: 60 [19, 86] ms; anterior wall: 64 [19, 99] ms; inferior wall: 40 [−1, 82] ms). MD-4 and MD-6 values were significantly higher in ToF patients compared to healthy controls (MD-4: p < 0.001; MD-6: p = 0.03), whilst MD-8 values were not significantly different. PSS of at least one RV wall segment was identified in nineteen (28%) ToF patients and one control subject (4%, p = 0.01). PS was less prevalent, identified in nine (13%) ToF patients and one control subject (4%). Both PS and PSS were present in five (7%) ToF patients.

FIGURE 4

Figure 4. Differences in median time to peak longitudinal strain values across the basal right ventricular free wall and mid-septum in ToF patients (left panel) and healthy controls (right panel).

TABLE 3

Table 3. RV deformation and synchronicity parameters in ToF patients and controls.

3.4. RV dyssynchrony in ToF

A greater degree of RV dyssynchrony in ToF patients was defined as an MD-4 value above 38 ms. According to this criterion, greater RV dyssynchrony was present in 38 (55%) patients (Table 4). There were no significant differences in QRS duration or bundle branch block type in patients with or without greater dyssynchrony, nor for incidence of pulmonary valve re-intervention or degree of pulmonary regurgitation. Incidence of clinically relevant arrhythmias was similar between groups where Holter data was available (43% of patients with MD-4 > 38 ms vs. 55% with MD-4 < 38 ms, p = 0.56). Exercise intolerance from available exercise–ECG or CPET was evident in one patient with greater RV dyssynchrony and in two patients with less RV dyssynchrony (p = 0.77). There was no relationship between percentage of predicted peak oxygen consumption and MD-4 value (r = −0.14, p = 0.57). Lateral and anterior wall-septum delays were significantly longer in ToF patients with greater RV dyssynchrony (73 [37–108] ms vs. 37 [0–63] ms, p = 0.006; 91 [52–116] ms vs. 41 [1–69] ms, p = 0.013 – Figure 5). RV septum LS was also significantly lower (−13 ± 3% vs. −15 ± 4%, p = 0.034), although there were no significant differences in RV wall LS. Furthermore, there was a trend towards a higher incidence of PSS in patients with greater RV dyssynchrony (14 [37%] vs. 5 [16%], p = 0.06). These findings did not however translate to a significant difference between groups in RVEF as measured by either 3D-TTE (44 ± 6% vs. 47 ± 6%, p = 0.25) or CMR (46 ± 8% vs. 47 ± 9%, p = 0.54). In seventeen patients who underwent CMR with gadolinium, late gadolinium enhancement (LGE) was predominantly seen at the inferior RV insertion point. Four patients with an MD-4 value >38 ms also had extensive LGE in the RVOT, compared to none with MD-4 < 38 ms (p = 0.18).

FIGURE 5

Figure 5. Box and whisker plots demonstrating intra-RV delays between each basal RV wall and mid septal segment in ToF patients with and without greater degree of RV dyssynchrony [mechanical dispersion (MD-4) value >38 ms]. Left panel (A): RV lateral wall; middle panel (B): RV anterior wall; right panel (C): RV inferior wall.

TABLE 4

Table 4. RV functional and synchronicity parameters in ToF patients with and without greater degree of RV dyssynchrony.

3.5. Association between RV dyssynchrony and RVEF

MD-4 and MD-8 values displayed moderate negative associations with CMR-derived RVEF (MD-4: r = −0.38, p = 0.017; MD-8: r = −0.51, p = 0.007). Associations were strengthened in a multiple regression model, predominantly by the inclusion of lateral wall longitudinal strain (MD-4: r = −0.64, p = <0.001; MD-8: r = −0.65, p = 0.006). Further inclusion of pulmonary regurgitation severity and incidence of pulmonary valve re-intervention only marginally increased the r value (MD-4: r = −0.67, p = 0.003; MD-8: r = −0.68, p = 0.026). Weaker associations were identified between 3D-TTE-derived RVEF and mechanical dispersion values (MD-4: r = −0.18, p = 0.22; MD-8: r = −0.30, p = 0.09). No associations were found between RV wall to septum delays and CMR-RVEF (r values <0.1). Furthermore, very weak associations were found between indices of RV dyssynchrony and QRS duration or with RV wall LS (all r values <0.2).

3.6. Intra- and inter-observer variability

All intra- and inter-observer agreements are presented in Table 5. Intra-observer agreement was excellent for all LS and timing parameters [ICC ≥ 0.7 except for RV inferior wall-septum delay (0.64)]. Inter-observer agreement for LS measurements was overall lower, although timing parameters were comparable and in the case of MD indices superior to intra-observer agreement (ICC ≥ 0.88).

TABLE 5

Table 5. Intra- and inter-observer agreements of multi-RV wall strain and electromechanical dyssynchrony parameters.

5. Discussion

This is the first study evaluating RV dyssynchrony across multiple RV walls using speckle tracking echocardiography. 2D-MPE imaging provides a more global approach to RV wall deformational assessment and is particularly pertinent in ToF owing to the presence of regional wall abnormalities (16). We found differences in TTP-LS across all RV segments in ToF, leading to a dyssynchronous and inefficient contraction sequence in contrast to relatively simultaneous activation in healthy individuals. The lateral and anterior RV walls are last to reach peak deformation, resulting in longer electromechanical delays with the septum and increased intra-RV mechanical dispersion. Combined with reduced LS, there is impairment of the entire anterior wall, most likely associated with previous surgical repair of the RV outflow tract and subsequent RV remodelling. In a smaller subset of ToF patients who underwent CMR, mechanical dispersion indices displayed moderate negative associations with RVEF, although strengthened when the lateral wall LS was taken into consideration. A greater degree of RV dyssynchrony was therefore not consistently reflective of dysfunction and other TTE functional parameters should be supportive.

5.1. RV electromechanical function in ToF

Regional differences in TTP-LS and high intra-RV mechanical dispersion reflect the complex electromechanical factors present in ToF. TTP-LS occurred earliest in the RV septum and following delayed activation of the RV free wall, the basal inferior wall reached peak deformation before the lateral and anterior walls. Whilst RBBB is ubiquitous, QRS prolongation was not associated with indices of RV dyssynchrony. In cases of proximal block, RV depolarisation occurs via the anterior and posterior fascicles of the left bundle, lengthening QRS duration and delaying RV free wall activation (19). However, in an electrophysiological (EP) study of ToF patients, Verzaal et al. (20) demonstrated that functional blocks often occurred in the repaired RVOT region, whilst conduction properties of the working myocardium were fairly well preserved. Proximity to the dyskinetic RVOT is therefore a likely cause of the electromechanical abnormalities of the RV anterior wall. Post-operative RV remodelling also impacts intra-myocardial conduction and factors such as by scar size, patch material, degree of myocardial fibrosis and residual pulmonary valve regurgitation may have varying effects on electromechanical function across the RV segments (21–23). Seventeen CMR studies were performed with gadolinium which broadly demonstrated LGE at the inferior RV insertion point. There was however a higher incidence of RVOT LGE in patients with longer anterior wall to septum mechanical delays. This may indicate higher scar burden in patients with greater dyssynchrony, although needs to be demonstrated in a larger study.

A four-segment mechanical dispersion measurement (MD-4), reflecting differences in TTP-LS between basal to mid segments of the septum and lateral wall, compared favourably with that of the study by Yim et al. (3). It is however debatable whether extra RV wall segments are warranted for a more accurate calculation. Mechanical dispersion derived including the anterior and inferior wall segments (MD-6/8), remained stable in ToF patients but considerably increased in healthy individuals, suggestive of high variability. MD-4 seems suitable for use in daily practice given that lateral wall deformational timings are comparable to those of the anterior wall. The additional RV segments may however have more relevance in pre/post resynchronisation studies.

Segmental post systolic shortening after pulmonary valve closure was present in one third of ToF patients and was more prevalent in those with greater RV dyssynchrony. Pre-stretch was however less prevalent in our study population than has been described in RV dyssynchrony studies performed in children (3, 4, 6). This may be a consequence of lower imaging resolution in adult patients leading to subtleties in deformation being missed. Conversely, this could be due to selection bias in our sampled population, with fewer cases of significant RV dysfunction.

5.2. Clinical impact and future directions

As the population of ToF patients continues to grow and age worldwide, incidence of right ventricular failure is increasing and treatment options are limited. In cases of significant dysfunction associated with RV dyssynchrony, there is evidence that some patients may benefit from cardiac resynchronisation therapy (19). In EP studies, the RVOT has been identified as the latest region to be activated in a majority of ToF patients and RV apical pacing may therefore not be sufficient to rectify electrical delays (24–26). Resynchronisation of septal and RV free wall contraction by pacing from the area of latest RV activation can lead to an increase in contraction efficiency, improvement in diastolic filling and subsequent reverse remodelling (26–29). In this setting, 2D-MPE has a role in identifying regions of late mechanical activation and evaluating global RV response to electrical resynchronisation.

5.3. Study limitations

Limitations of this study include a relatively small sample size, particularly for comparison of RV dyssynchrony parameters with CMR-derived function. Furthermore, 14/31 (45%) patients underwent CMR without gadolinium, which limited the evaluation of corresponding scar burden in the RV myocardium. These findings should be interpreted on this basis and thus further robust research is required. RV deformation was only measured in the longitudinal direction and thus components of radial and circumferential shortening were not considered. Furthermore, LV deformation was not quantified therefore the effect of ventricular interdependence on RV mechanics (30, 31) was overlooked. Due to its retro-sternal position, it remains difficult to quantify subvalvular RVOT function with STE, therefore this region could not be evaluated. Multi-RV wall strain measurements were not made simultaneously as this is not possible with 2D-MPE imaging, however all timing indices were corrected for the heart rate on each acquisition. Technological advances may make 3D-STE of the RV more attractive in the coming years, enabling multi-RV wall deformational evaluation to be performed simultaneously and faster (32).

6. Conclusion

A high proportion of ToF patients will develop RV dysfunction following initial or subsequent reparative surgery and treatment options are limited. 2D-MPE imaging enables a more global quantification of RV deformation, providing insights into regional electromechanical function and mechanisms of dyssynchrony. We found that RV dyssynchrony is characterised by electromechanical delays between the lateral, anterior and septal walls, resulting in increased intra-RV mechanical dispersion. Prospectively, 2D-MPE imaging may have an emerging role evaluating RV mechanical response to electrical resynchronisation therapy.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Ethics statement

The studies involving human participants were reviewed and approved by the Erasmus MC medical ethics committee (MEC-2019 0465). The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

DB and AvdB contributed to the design of this study. DB performed all echocardiographic measurements, collated and analysed all data and wrote the manuscript. MK contributed to the collection of clinical data and critically reviewed the manuscript. BLB performed inter-observer measurements on a subset of the study population. TST provided guidance on electrophysiology and critically reviewed the manuscript. AvdB, JM, JC and JRH critically reviewed the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fped.2023.1085730/full#supplementary-material.

SUPPLEMENTARY VIDEO S1

Echocardiographic video loop of the mitral valve view demonstrating the right ventricular lateral wall (0º electronic rotation).

SUPPLEMENTARY VIDEO S2

Echocardiographic video loop of the coronary sinus view demonstrating the right ventricular anterior wall (approximately +40º electronic rotation).

SUPPLEMENTARY VIDEO S3

Echocardiographic video loop of the aortic valve view demonstrating the right ventricular inferior wall (approximately -40º electronic rotation).

References

1. Larios G, Friedberg MK. Imaging in repaired tetralogy of fallot with a focus on recent advances in echocardiography. Curr Opin Cardiol. (2017) 32(5):490–502. doi: 10.1097/HCO.0000000000000426

PubMed Abstract | CrossRef Full Text | Google Scholar

2. D'Andrea A, Caso P, Sarubbi B, D'Alto M, Giovanna Russo M, Scherillo M, et al. Right ventricular myocardial activation delay in adult patients with right bundle branch block late after repair of tetralogy of fallot. Eur J Echocardiogr. (2004) 5(2):123–31. doi: 10.1016/S1525-2167(03)00053-2

CrossRef Full Text | Google Scholar

3. Yim D, Hui W, Larios G, Dragulescu A, Grosse-Wortmann L, Bijnens B, et al. Quantification of right ventricular electromechanical dyssynchrony in relation to right ventricular function and clinical outcomes in children with repaired tetralogy of fallot. J Am Soc Echocardiogr. (2018) 31(7):822–30. doi: 10.1016/j.echo.2018.03.012

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Hui W, Slorach C, Bradley TJ, Jaeggi ET, Mertens L, Friedberg MK. Measurement of right ventricular mechanical synchrony in children using tissue Doppler velocity and two-dimensional strain imaging. J Am Soc Echocardiogr. (2010) 23(12):1289–96. doi: 10.1016/j.echo.2010.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Mueller M, Rentzsch A, Hoetzer K, Raedle-Hurst T, Boettler P, Stiller B, et al. Assessment of interventricular and right-intraventricular dyssynchrony in patients with surgically repaired tetralogy of fallot by two-dimensional speckle tracking. Eur J Echocardiogr. (2010) 11(9):786–92. doi: 10.1093/ejechocard/jeq067

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Hui W, Slorach C, Dragulescu A, Mertens L, Bijnens B, Friedberg MK. Mechanisms of right ventricular electromechanical dyssynchrony and mechanical inefficiency in children after repair of tetralogy of fallot. Circ Cardiovasc Imaging. (2014) 7(4):610–8. doi: 10.1161/CIRCIMAGING.113.001483

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Badagliacca R, Reali M, Poscia R, Pezzuto B, Papa S, Mezzapesa M, et al. Right intraventricular dyssynchrony in idiopathic, heritable, and anorexigen-induced pulmonary arterial hypertension: clinical impact and reversibility. JACC Cardiovasc Imaging. (2015) 8(6):642–52. doi: 10.1016/j.jcmg.2015.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Driessen MMP, Leiner T, Sieswerda GT, van Dijk APJ, Post MC, Friedberg MK, et al. RV Adaptation to increased afterload in congenital heart disease and pulmonary hypertension. PLoS One. (2018) 13(10):e0205196. doi: 10.1371/journal.pone.0205196

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Uebing A, Gibson DG, Babu-Narayan SV, Diller GP, Dimopoulos K, Goktekin O, et al. Right ventricular mechanics and QRS duration in patients with repaired tetralogy of Fallot: implications of infundibular disease. Circulation. (2007) 116(14):1532–9. doi: 10.1161/CIRCULATIONAHA.107.688770

PubMed Abstract | CrossRef Full Text | Google Scholar

10. van der Hulst AE, Roest AA, Holman ER, de Roos A, Blom NA, Bax JJ, et al. Real-time three-dimensional echocardiography: segmental analysis of the right ventricle in patients with repaired tetralogy of fallot. J Am Soc Echocardiogr. (2011) 24(11):1183–90. doi: 10.1016/j.echo.2011.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

11. McGhie JS, Menting ME, Vletter WB, Frowijn R, Roos-Hesselink JW, Soliman OI, et al. A novel 13-segment standardized model for assessment of right ventricular function using two-dimensional iRotate echocardiography. Echocardiography. (2016) 33(3):353–61. doi: 10.1111/echo.13102

PubMed Abstract | CrossRef Full Text | Google Scholar

12. McGhie JS, Menting ME, Vletter WB, Frowijn R, Roos-Hesselink JW, van der Zwaan HB, et al. Quantitative assessment of the entire right ventricle from one acoustic window: an attractive approach. Eur Heart J Cardiovasc Imaging. (2017) 18(7):754–62. doi: 10.1093/ehjci/jew165

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American society of echocardiography and the European association of cardiovascular imaging. Eur Heart J Cardiovasc Imaging. (2015) 16(3):233–70. doi: 10.1093/ehjci/jev014

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Lancellotti P, Tribouilloy C, Hagendorff A, Popescu BA, Edvardsen T, Pierard LA, et al. Recommendations for the echocardiographic assessment of native valvular regurgitation: an executive summary from the European association of cardiovascular imaging. Eur Heart J Cardiovasc Imaging. (2013) 14(7):611–44. doi: 10.1093/ehjci/jet105

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Van Berendoncks A, Van Grootel R, McGhie J, van Kranenburg M, Menting M, Cuypers J, et al. Echocardiographic parameters of severe pulmonary regurgitation after surgical repair of tetralogy of fallot. Congenit Heart Dis. (2019) 14(4):628–37. doi: 10.1111/chd.12762

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Bowen DJ, van Berendoncks AM, McGhie JS, Roos-Hesselink JW, van den Bosch AE. Multi-plane echocardiographic assessment of right ventricular function in adults with repaired tetralogy of fallot. Int J Cardiovasc Imaging. (2021) 37(10):2905–15. doi: 10.1007/s10554-021-02273-5

PubMed Abstract | CrossRef Full Text | Google Scholar

17. van der Zwaan HB, Geleijnse ML, McGhie JS, Boersma E, Helbing WA, Meijboom FJ, et al. Right ventricular quantification in clinical practice: two-dimensional vs. Three-dimensional echocardiography compared with cardiac magnetic resonance imaging. Eur J Echocardiogr. (2011) 12(9):656–64. doi: 10.1093/ejechocard/jer107

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Valente AM, Gauvreau K, Assenza GE, Babu-Narayan SV, Schreier J, Gatzoulis MA, et al. Contemporary predictors of death and sustained ventricular tachycardia in patients with repaired tetralogy of fallot enrolled in the INDICATOR cohort. Heart. (2014) 100(3):247–53. doi: 10.1136/heartjnl-2013-304958

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Thambo JB, De Guillebon M, Dos Santos P, Xhaet O, Ploux S, Iriart X, et al. Electrical dyssynchrony and resynchronization in tetralogy of fallot. Heart Rhythm. (2011) 8(6):909–14. doi: 10.1016/j.hrthm.2010.12.044

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Verzaal NJ, Massé S, Downar E, Nanthakumar K, Delhaas T, Prinzen FW. Exploring the cause of conduction delays in patients with repaired Tetralogy of Fallot. Europace. (2021) 23(23 Suppl 1):i105–i12. doi: 10.1093/europace/euaa400

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Babu-Narayan SV, Kilner PJ, Li W, Moon JC, Goktekin O, Davlouros PA, et al. Ventricular fibrosis suggested by cardiovascular magnetic resonance in adults with repaired tetralogy of fallot and its relationship to adverse markers of clinical outcome. Circulation. (2006) 113(3):405–13. doi: 10.1161/CIRCULATIONAHA.105.548727

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Cochet H, Iriart X, Allain-Nicolaï A, Camaioni C, Sridi S, Nivet H, et al. Focal scar and diffuse myocardial fibrosis are independent imaging markers in repaired tetralogy of Fallot. Eur Heart J Cardiovasc Imaging. (2019) 20(9):990–1003. doi: 10.1093/ehjci/jez068

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Wald RM, Haber I, Wald R, Valente AM, Powell AJ, Geva T. Effects of regional dysfunction and late gadolinium enhancement on global right ventricular function and exercise capacity in patients with repaired tetralogy of fallot. Circulation. (2009) 119(10):1370–7. doi: 10.1161/CIRCULATIONAHA.108.816546

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Nanthakumar K, Massé S, Poku K, Silversides CK, Chauhan VS, Mariani JA, et al. Intraoperative high-density global mapping in adult-repaired tetralogy of fallot altered left ventricular and right ventricular activation and implications for resynchronization strategies. J Am Coll Cardiol. (2010) 55(21):2409–11. doi: 10.1016/j.jacc.2010.02.027

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Thambo JB, De Guillebon M, Xhaet O, Dos Santos P, Roubertie F, Labrousse L, et al. Biventricular pacing in patients with Tetralogy of Fallot: non-invasive epicardial mapping and clinical impact. Int J Cardiol. (2013) 163(2):170–4. doi: 10.1016/j.ijcard.2011.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Vojtovic P, Kucera F, Kubuš P, Gebauer R, Matejka T, Tláskal T, et al. Acute right ventricular resynchronization improves haemodynamics in children after surgical repair of tetralogy of fallot. Europace. (2018) 20(2):323–8. doi: 10.1093/europace/euw414

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Janoušek J, Kovanda J, Ložek M, Tomek V, Gebauer R, Kubuš P, et al. Cardiac resynchronization therapy for treatment of chronic subpulmonary right ventricular dysfunction in congenital heart disease. Circ Arrhythm Electrophysiol. (2019) 12(5):e007157. doi: 10.1161/CIRCEP.119.007157

CrossRef Full Text | Google Scholar

28. Janoušek J, Kovanda J, Ložek M, Tomek V, Vojtovič P, Gebauer R, et al. Pulmonary right ventricular resynchronization in congenital heart disease: acute improvement in right ventricular mechanics and contraction efficiency. Circ Cardiovasc Imaging. (2017) 10(9):e006424. doi: 10.1161/CIRCIMAGING.117.006424.

CrossRef Full Text | Google Scholar

29. Kubuš P, Materna O, Tax P, Tomek V, Janoušek J. Successful permanent resynchronization for failing right ventricle after repair of tetralogy of Fallot. Circulation. (2014) 130(22):e186–90. doi: 10.1161/CIRCULATIONAHA.114.012205

CrossRef Full Text | Google Scholar

30. Menting ME, Eindhoven JA, van den Bosch AE, Cuypers JA, Ruys TP, van Dalen BM, et al. Abnormal left ventricular rotation and twist in adult patients with corrected tetralogy of fallot. Eur Heart J Cardiovasc Imaging. (2014) 15(5):566–74. doi: 10.1093/ehjci/jet244

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Menting ME, van den Bosch AE, McGhie JS, Eindhoven JA, Cuypers JA, Witsenburg M, et al. Assessment of ventricular function in adults with repaired Tetralogy of Fallot using myocardial deformation imaging. Eur Heart J Cardiovasc Imaging. (2015) 16(12):1347–57. doi: 10.1093/ehjci/jev090

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Moceri P, Duchateau N, Gillon S, Jaunay L, Baudouy D, Squara F, et al. Three-dimensional right ventricular shape and strain in congenital heart disease patients with right ventricular chronic volume loading. Eur Heart J Cardiovasc Imaging. (2021) 22(10):1174–81. doi: 10.1093/ehjci/jeaa189

PubMed Abstract | CrossRef Full Text | Google Scholar