Etelvino Silva

Integration of 3D Electroanatomic Maps and Magnetic Resonance Scar Characterization Into the Navigation System to Guide Ventricular Tachycardia Ablation

Background— Scar heterogeneity identified with contrast-enhanced cardiac magnetic resonance (CE-CMR) has been related to its arrhythmogenic potential by using different algorithms. The purpose of the study was to identify the algorithm that best fits with the electroanatomic voltage maps (EAM) to guide ventricular tachycardia (VT) ablation. Methods and Results— Three-dimensional scar reconstructions from preprocedural CE-CMR study at 3T were obtained and compared with EAMs of 10 ischemic patients submitted for a VT ablation. Three-dimensional scar reconstructions were created for the core (3D-CORE) and border zone (3D-BZ), applying cutoff values of 50%, 60%, and 70% of the maximum pixel signal intensity to discriminate between core and BZ. The left ventricular cavity from CE-CMR (3D-LV) was merged with the EAM, and the 3D-CORE and 3D-BZ were compared with the corresponding EAM areas defined with standard cutoff voltage values. The best match was obtained when a cutoff value of 60% of the maximum pixel signal intensity was used, both for core (r 2=0.827; P<0.001) and BZ (r 2=0.511; P=0.020), identifying 69% of conducting channels (CC) observed in the EAM. Matching improved when only the subendocardial half of the wall was segmented (CORE: r 2=0.808; P<0.001 and BZ: r 2=0.485; P=0.025), identifying 81% of CC. When comparing the location of each bipolar voltage intracardiac electrogram with respect to the 3D CE-CMR–derived structures, a Cohen &kgr; coefficient of 0.70 was obtained. Conclusions— Scar characterization by means of high resolution CE-CMR resembles that of EAM and can be integrated into the CARTO system to guide VT ablation.

Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography

This paper presents a new registration algorithm, called Temporal Diffeomorphic Free Form Deformation (TDFFD), and its application to motion and strain quantification from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consistency by representing the 4D velocity field as the sum of continuous spatiotemporal B-Spline kernels. The spatiotemporal displacement field is then recovered through forward Eulerian integration of the non-stationary velocity field. The strain tensor is computed locally using the spatial derivatives of the reconstructed displacement field. The energy functional considered in this paper weighs two terms: the image similarity and a regularization term. The image similarity metric is the sum of squared differences between the intensities of each frame and a reference one. Any frame in the sequence can be chosen as reference. The regularization term is based on the incompressibility of myocardial tissue. TDFFD was compared to pairwise 3D FFD and 3D+t FFD, both on displacement and velocity fields, on a set of synthetic 3D US images with different noise levels. TDFFD showed increased robustness to noise compared to these two state-of-the-art algorithms. TDFFD also proved to be more resistant to a reduced temporal resolution when decimating this synthetic sequence. Finally, this synthetic dataset was used to determine optimal settings of the TDFFD algorithm. Subsequently, TDFFD was applied to a database of cardiac 3D US images of the left ventricle acquired from 9 healthy volunteers and 13 patients treated by Cardiac Resynchronization Therapy (CRT). On healthy cases, uniform strain patterns were observed over all myocardial segments, as physiologically expected. On all CRT patients, the improvement in synchrony of regional longitudinal strain correlated with CRT clinical outcome as quantified by the reduction of end-systolic left ventricular volume at follow-up (6 and 12months), showing the potential of the proposed algorithm for the assessment of CRT.

Three-dimensional Architecture of Scar and Conducting Channels Based on High Resolution ce-CMR: Insights for Ventricular Tachycardia Ablation

Background—Conducting channels are the target for ventricular tachycardia (VT) ablation. Conducting channels could be identified with contrast enhanced–cardiac magnetic resonance (ce-CMR) as border zone (BZ) corridors. A 3-dimensional (3D) reconstruction of the ce-CMR could allow visualization of the 3D structure of these BZ channels. Methods and Results—We included 21 patients with healed myocardial infarction and VT. A 3D high-resolution 3T ce-CMR was performed before CARTO-guided VT ablation. The left ventricular wall was segmented and characterized using a pixel signal intensity algorithm at 5 layers (endocardium, 25%, 50%, 75%, epicardium). A 3D color-coded shell map was obtained for each layer to depict the scar core and BZ distribution. The presence/characteristics of BZ channels were registered for each layer. Scar area decreased progressively from endocardium to epicardium (scar area/left ventricular area: 34.0±17.4% at endocardium, 24.1±14.7% at 25%, 16.3±12.1% at 50%, 13.1±10.4 at 75%, 12.1±9.3% at epicardium; P<0.01). Forty-five BZ channels (2.1±1.0 per patient, 23.7±12.0 mm length, mean minimum width 2.5±1.5 mm) were identified, 85% between the endocardium and 50% shell and 76% present in ≥1 layer. The ce-CMR–defined BZ channels identified 74% of the critical isthmus of clinical VTs and 50% of all the conducting channels identified in electroanatomic maps. Conclusions—Scar area in patients with healed myocardial infarction decreases from the endocardium to the epicardium. BZ channels, more commonly seen in the endocardium, display a 3D structure within the myocardial wall that can be depicted with ce-CMR. The use of ce-CMR–derived maps to guide VT ablation warrants further investigation.

A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities

In this paper, we present a new method for the automatic comparison of myocardial motion patterns and the characterization of their degree of abnormality, based on a statistical atlas of motion built from a reference healthy population. Our main contribution is the computation of atlas-based indexes that quantify the abnormality in the motion of a given subject against a reference population, at every location in time and space. The critical computational cost inherent to the construction of an atlas is highly reduced by the definition of myocardial velocities under a small displacements hypothesis. The indexes we propose are of notable interest for the assessment of anomalies in cardiac mobility and synchronicity when applied, for instance, to candidate selection for cardiac resynchronization therapy (CRT). We built an atlas of normality using 2D ultrasound cardiac sequences from 21 healthy volunteers, to which we compared 14 CRT candidates with left ventricular dyssynchrony (LVDYS). We illustrate the potential of our approach in characterizing septal flash, a specific motion pattern related to LVDYS and recently introduced as a very good predictor of response to CRT.

Use of myocardial scar characterization to predict ventricular arrhythmia in cardiac resynchronization therapy

AIMS There is insufficient evidence to implant a combined cardiac resynchronization therapy (CRT) device with defibrillation capabilities (CRT-D) in all CRT candidates. The aim of the study was to assess myocardial scar size and its heterogeneity as predictors of sudden cardiac death (SCD) in CRT candidates. METHODS AND RESULTS A cohort of 78 consecutive patients with dilated cardiomyopathy and class I indication for CRT-D were prospectively enrolled. Before CRT-D implantation, a contrast-enhanced cardiac magnetic resonance (ce-CMR) was performed. The core and border zone (BZ) of the myocardial scar were characterized and quantified with a customized post-processing software. The first appropriate implantable cardioverter defibrillator (ICD) therapy was considered as a surrogate of SCD. During a mean follow-up of 25 months (25-75th percentiles, 15-34), appropriate ICD therapy occurred in 11.5% of patients. In a multivariate Cox proportional hazards regression model for clinical and ce-CMR variables, the scar mass percentage [hazards ratio (HR) per 1% increase 1.1 (1.06-1.15), P < 0.01], the BZ mass [HR per 1 g increase 1.06 (1.04-1.09), P < 0.01], and the BZ percentage of the scar [HR per 1% increase 1.06 (1.02-1.11), P < 0.01], were the only independent predictors of appropriate ICD therapy. Receiver-operating characteristic curve analysis showed that a scar mass <16% and a BZ < 9.5 g had a negative predictive value of 100%. CONCLUSIONS The presence, size, and heterogeneity of myocardial scar independently predict appropriate ICD therapies in CRT candidates. The ce-CMR-based scar analysis might help identify a subgroup of patients at relatively low risk of SCD.

Decreased likelihood of response to cardiac resynchronization in patients with severe heart failure

We hypothesized that a very advanced stage of dilated cardiomyopathy is associated with lower response to cardiac resynchronization therapy (CRT).

Biventricular pacing in hypertrophic obstructive cardiomyopathy: a pilot study.

BACKGROUND Right ventricular apex pacing for gradient reduction in hypertrophic obstructive cardiomyopathy (HOCM) with severe left ventricular (LV) obstruction has yielded conflicting results. OBJECTIVE The purpose of this study was to assess the feasibility and effectiveness of biventricular pacing in HOCM. METHODS Transvenous biventricular pacing was attempted in 12 severely symptomatic HOCM patients. Optimal intervals were programmed after implant. Echocardiographic LV pressure gradient and synchrony were assessed. LV lead implantation was successful in 9 patients. Optimal pacing mode was biventricular in 6 patients, left ventricular only in 2 patients, and right ventricular only in 1 patient. RESULTS Functional capacity and quality of life progressively improved. New York Heart Association functional class decreased from 3.2 ± 0.4 at baseline to 1.9 ± 0.3 at 3 months and to 1.4 ± 0.5 at 1 year (P <.05); 6-minute walk test increased from 349 ± 116 m at baseline to 454 ± 144 m at 3 months and to 517 ± 206 m (P <.05); and quality of life increased from 54 ± 16 points at baseline to 28 ± 13 points at 3 months and 27 ± 15 points at 1 year (P <.05). There was also a progressive reduction in LV gradient from 74 ± 23 mmHg at baseline to 50 ± 27 mmHg acutely, 40 ± 26 mmHg at 3 months, and 28 ± 17 mmHg at 1 year (P <.05). Gradient reduction was associated with diminished peak longitudinal displacement of the LV septum and earlier displacement of the lateral wall. A progressive reduction of LV mass was observed, from 356 ± 110 g at baseline to 315 ± 70 g at 3 months (P = .13) and to 284 ± 42 g at 1 year (P <.05). CONCLUSION Biventricular pacing is feasible and usually the best configuration for gradient reduction in HOCM. Biventricular pacing reduces LV hypertrophy.

Electrocardiographic versus echocardiographic optimization of the interventricular pacing delay in patients undergoing cardiac resynchronization therapy.

Electrocardiographic VV Optimization. Introduction: Echocardiographic optimization of the VV interval may improve CRT response, but it is time‐consuming and not routinely performed. The aim of this study was to compare the response to cardiac resynchronization therapy (CRT) when the interventricular pacing (VV) interval was optimized by Tissue Doppler Imaging (TDI) to CRT response when it was optimized following QRS width criteria.

Optimization of the Interventricular Delay in Cardiac Resynchronization Therapy Using the QRS Width

Optimization of the interventricular pacing delay (VV) in cardiac resynchronization therapy is time-consuming and not routinely performed. The aim of the present study was to compare the acute hemodynamic response obtained by different VV programming methods. Several methods for optimizing the VV using electrocardiographic or echocardiographic measurements were performed. The effect of programming an empirical prefixed VV of 0 ms was also evaluated. Invasive first derivative of left ventricular (LV) pressure over time (dP/dt max) was measured at several VV values, and the hemodynamic response that could be obtained by each noninvasive VV selection method was extrapolated from the curve of LV dP/dt max versus VV. The study included 25 patients (80% men, age 66 +/- 9 years, 44% ischemic). The maximum achievable LV dP/dt during biventricular pacing was obtained by a median left ventricular preactivation of 30 ms and increased the baseline unpaced LV dP/dt from 774 +/- 181 to 934 +/- 179 mm Hg/s (p <0.001). The noninvasive optimization method selected the VV leading to the narrowest QRS measured from the earliest deflection and obtained the smallest difference with regard to the maximum achievable LV dP/dt. Furthermore, of all the VV optimization methods tested, this was the only 1 that significantly improved on the hemodynamic response obtained by programming a predefined VV of 0 ms in all patients (925 +/- 178 vs 906 +/- 183 mm Hg/s; p = 0.003). In conclusion, achieving the narrowest QRS measured from the earliest deflection obtained a better acute hemodynamic response than the other VV optimization methods. It also improved the response obtained by default simultaneous biventricular pacing, although this improvement was limited in magnitude.

Assessment of Left Ventricular Dyssynchrony by Real-Time Three-Dimensional Echocardiography

INTRODUCTION AND OBJECTIVES A number of different imaging methods have been proposed as possible tools for assessing left ventricular (LV) mechanical dyssynchrony. The aim of this study was to evaluate the usefulness of real-time three-dimensional echocardiography (RT3DE) for studying LV mechanical dyssynchrony. METHODS In total, 60 individuals underwent RT3DE, including 10 healthy volunteers, 23 patients with acute ST-segment elevation myocardial infarction and 27 patients with dilated cardiomyopathy. The LV volume was recorded throughout the full cardiac cycle using RT3DE, after which LV mechanical dyssynchrony was determined. The extent of LV mechanical dyssynchrony was characterized using the systolic dyssynchrony index (SDI), which was calculated from the variation in the time required to reach the minimum regional systolic volume in the 16 LV segments analyzed. RESULTS The SDI was significantly higher in patients with dilated cardiomyopathy, at 14.3%+/-7.5% compared with 1.5%+/-0.7% in healthy volunteers and 8.1%+/-7.1% in acute myocardial infarction patients (ANOVA, P< .001). Basal and mid ventricular segments showed the greatest delays. All patients with dilated cardiomyopathy received cardiac resynchronization therapy. In this patient subgroup, the SDI exhibited an immediate significant decrease (to 9.7%+/-6.8%; P< .05) and a progressive decrease during 6 months of follow-up (to 4.9%+/-3.1%; P< .05). CONCLUSIONS The new imaging technique of RT3DE can be used to assess LV mechanical dyssynchrony and is able to identify the LV segments with the greatest time delays.