757 Cardio-TC role in patients selection for transcatheter edge to edge tricuspid repair

Aims Anatomic knowledge of the tricuspid valve (TV) is the first step in the management of patients with tricuspid regurgitation (TR) who are candidates for transcatheter tricuspid valve intervention (TTVI). Echocardiography is undoubtedly the first approach in assessing the aetiology and severity of TR and the size and function of the right chambers. Computed tomography (CT) provides a detailed morphological visualization of the cardiac structures owing to acquisition of 3D data with high spatial resolution. These findings may undoubtedly help in decision-making progress for novel transcatheter therapies. The purpose of the present study was to assess the geometrical changes of the TV complex using CT images, in patients suffering from functional TR and lead-induced TR. Methods The study population consisted of 21 consecutive patients with symptomatic severe TR referred to Policlinico Universitario Campus Biomedico between November 2020 and October 2021. Patients were prospectively included in the study only if they presented severe TR, diagnosed by echocardiography and underwent cardiac CT study dedicated to the right-chambers. The reconstructions were transferred to an external workstation for off-line image analysis. The following measurements were reported: tricuspid annulus area, perimeter, septal–lateral and antero-posterior diameters. Commissures were identified as antero-septal (AS), postero-septal (PS) and anteroposterior (AP). Were measured the inferior vena cava ostium to tricuspid valve centroid distance, anatomic regurgitant orifice area (AROA) and its position respect to the centroid, and the right chambers. Results All 21 patients underwent CT scan using Siemens SOMATOM Definition AS 128 Slice CT Machine. The measurements were calculated off-line using the 3mensio workstation. In our study population, the annulus resulted enlarged in the annulus area, perimeter, septal-lateral and anterior-posterior dimensions. Measurements did not differ significantly, except for the septal-lateral diameter that was smaller in systole (52.80 ± 7.28 mm vs. 47.83 ± 6.83 mm (P=0.027). Also, distances between the commissures were similar except for the AP-AS distance that was shorter in systole (45.26 ± 3.48 mm vs. 42.13 ± 3.73, P=0.007). The AROA resulted to be central in 7 patients, the IVC ostium to TV centroid distance was 23±3 mm. Right chambers and IVC resulted very enlarged in all patients. Conclusions CT provides a complete morphologic imaging of the heart structures, thanks to a high spatial resolution with excellent capacity to define the endocardial border and allows acquisition of three-dimensional data with high spatial resolution of the TV and provides valuable information about the geometric variations of the tricuspid complex in patients with TR. Image quality for analysis should be optimized with specific CT acquisition protocols that focus on the right ventricles.

Left atrial strain evaluation and prognostic value in constrictive pericarditis patients undergoing pericardiectomy

Background Left Atrial (LA) phasic volumes analyses is flawed with geometrical assumption requiring high endocardial border definition. LA strain analysis is an emergent technique that overcome some of these technical limitations. Prior studies of LA mechanics in pericardiectomy patients found improvement in LA strain at follow-up and manifested as symptomatic improvement, however their relationships with survival have not been investigated. Purpose We assessed LA strain before and after pericardiectomy and its association with all- cause mortality. Methods Consecutive patients with constrictive pericarditis who underwent pericardiectomy from 2000–2017 were retrospectively analyzed, analyzing pre-operative and post-operative (at 12 months) echocardiography. Exclusion criteria included atrial fibrillation, previous left sided valve surgery, concomitant valvular surgery at the index pericardiectomy, more than mild left sided valvulopathy and poor echocardiographic windows. Strain analyses was performed with Vector velocity imaging independent software. Univariate and multivariable analyses were utilized to identify factors associated with reduced survival. Results Amongst 190 patients included in the analyses, mean age was 58.5±12.7 years and 37 (19.5%) were female. The etiology of constriction was deemed idiopathic in 61.6% of the cases, median time interval surgery-postoperative echo was 67 days (IQR 6, 312 days). During median follow up of 3.3 years (IQR 0.73, 5.9 years) there were 37 deaths. After surgery, there was a significant decrease in LA reservoir, conduit and regional wall strains. (Table 1). Multivariable analysis demonstrated that postoperative 4C AL strain reservoir was independently associated with all-cause mortality (Table 2). Conclusions In pericardiectomy patients, postoperative 4C LA strain reservoir is independently associated with all-cause mortality. Perhaps, compensatory changes of septal and antero-posterior walls during constriction explain why after surgery these walls become less dynamic, negatively impacting the overall function. Overall, LA quantification and strains may become a useful clinical tool for risk stratification in pericardiectomy patients FUNDunding Acknowledgement Type of funding sources: None. Table 1. Left atrial variables. Table 2. All-cause mortality predictors

Semi-automated left ventricular endocardial detection versus hand-tracing in the measurement of left ventricular volumes and ejection fraction in daily clinical practice

Background The common method of assessing left ventricle (LV) volumes and ejection fraction (EF) is hand-tracing Biplane Simpson method. Alternatively, ultrasound vendors offer different semi-automated LV endocardial border detection software with anatomical intelligence to assess LV volumes and EF. By using speckle-tracking technique, this software tracks the LV endocardium throughout the cardiac cycle and computes the LV volumes in every image frame using the disk summation method from which a volume-curve is generated, and the EF is calculated using the maximum and minimum volumes obtained. Data on the performance of this method in comparison with the hand-tracing Biplane Simpson method in daily clinical practice is scarce. Purpose To determine the accuracy of LV volumes and EF using semi-automated LV endocardial detection tracing, and to compare the reproducibility of this method with the hand-tracing Biplane Simpson method, among operators with varying level of experience in echocardiography. Methods This was a single center retrospective observational study, conducted in year 2020. 127 patients, aged >18 years, who underwent clinically indicated transthoracic echocardiography were recruited. The echocardiographic images were analyzed independently in a blinded fashion by 3 operators – a sonographer, a fellow-in-training and a cardiologist specialized in echocardiography. The LV volumes and EF were first measured using hand-tracing Biplane Simpson method, then repeated using semi-automated tracing at a different time and the operator were blinded to the initial hand-tracing measurements. Results The mean age of patients was 50±16 years, 35.4% were male, mean body surface area was 1.62±0.18m2, 92.1% were in sinus rhythm, and 61.4% had good acoustic window. Table 1 shows the LV end-diastolic volume (EDV), end-systolic volume (ESV) and EF, measured using different method, by the 3 operators. There were excellent correlation and agreement between semi-automated tracing measurements and hand-tracing measurements of LV EDV (r=0.985, LOA [mean ± 1.96 SD] 16.9 ml, ICC 0.991), ESV (r=0.990, LOA 12.7 ml, ICC 0.994) and EF (r=0.962, LOA 7.43%, ICC 0.967) by experienced cardiologist. The limit of agreement (LOA) between cardiologist and sonographer for semi-automated tracing measurement of LV EDV, ESV and EF were 29.13 ml, 19.74 ml and 9.25% respectively, which was comparable with that of hand-tracing measurement. The agreement between cardiologist and fellow-in-training for semi-automated tracing measurement of LV volumes and EF was slightly better than hand-tracing method, with a LOA of 25.60 ml, 17.48 ml and 7.08%, for EDV, ESV and EF respectively (Table 2). Conclusion In daily clinical practice, measurement of LV volumes and EF using semi-automated LV endocardial tracing method is accurate and demonstrates comparable reproducibility with hand-tracing Biplane Simpson method among operators with different level of experience in echocardiography. FUNDunding Acknowledgement Type of funding sources: None.

Reconstruction of cardiovascular black-blood T2-weighted image by deep learning algorithm: A comparison with intensity filter

Background Deep learning–based methods have been used to denoise magnetic resonance imaging. Purpose The purpose of this study was to evaluate a deep learning reconstruction (DL Recon) in cardiovascular black-blood T2-weighted images and compare with intensity filtered images. Material and Methods Forty-five DL Recon images were compared with intensity filtered and the original images. For quantitative image analysis, the signal to noise ratio (SNR) of the septum, contrast ratio (CR) of the septum to lumen, and sharpness of the endocardial border were calculated in each image. For qualitative image quality assessment, a 4-point subjective scale was assigned to each image (1 = poor, 2 = fair, 3 = good, 4 = excellent). Results The SNR and CR were significantly higher in the DL Recon images than in the intensity filtered and the original images ( p < .05 in each). Sharpness of the endocardial border was significantly higher in the DL Recon and intensity filtered images than in the original images ( p < .05 in each). The image quality of the DL Recon images was significantly better than that of intensity filtered and original images ( p < .001 in each). Conclusions DL Recon reduced image noise while improving image contrast and sharpness in the cardiovascular black-blood T2-weight sequence.

Contrast echocardiography

Contrast echocardiography has become an established technique to enhance endocardial border definition in those with suboptimal images. This has been enabled by newer intravenously administered ultrasound contrast agents that can traverse the pulmonary circulation intact, coupled with ultrasound imaging techniques designed specifically to allow good visualization of these agents in the left ventricular cavity and myocardium. Contrast echocardiography improves the evaluation of left ventricular function providing more accurate and reproducible measurements of volumes and ejection fraction. Contrast use in stress echocardiography improves the feasibility, diagnostic accuracy, and reader confidence in the test. Consequently, contrast agents enhance decision-making, shorten time to diagnosis, and reduce downstream costs in those with difficult acoustic windows. The technique is particularly useful in delineating apical pathology, and may be used to assess cardiac masses and aortic diseases. Myocardial perfusion may also be assessed during resting and stress echocardiography, improving the evaluation of coronary artery disease.

Abstract 14082: The Effect of Diagnostic Ultrasound Mediated High Mechanical Impulses on Cardiac Output During an Ultrasound Enhancing Agent Infusion

Introduction: Diagnostic ultrasound high mechanical index (MI) impulses are used during an ultrasound enhancing agent (UEA) infusion to improve endocardial border resolution and study myocardial perfusion. They have also been shown to cause endothelial shear, resulting in prolonged increases in ATP release and augment microvascular flow. The potential for these high MI impulses to alter cardiac output (CO) are unknown. Hypothesis: To study the impact of high MI impulses on CO Methods: Fifty one patients (mean age 63±15 years; 41% female) referred for contrast echocardiography underwent very low MI imaging with intermittent high MI impulses (1.6-1.7 Megahertz) in three different apical windows during either a Definity (Lantheus Medical) or Lumason (Bracco Diagnostics) infusion or bolus. CO was determined from Doppler measurements of left ventricular outflow tract stroke volume and heart rate. Mean contrast enhanced biplane left ventricular ejection fraction (LVEF) was 53±15%; (range 10-75%). CO from baseline without contrast (COwoC) and baseline after contrast (COwC) before high MI impulses were compared to CO after contrast and after high MI impulses (COaHMI). All CO measurements were made by an independent reviewer blinded to time of measurement (before or after high MI impulses). Results: Although heart rate did not change before and after intermittent high MI impulse administration, COaHMI increased significantly when compared to COwoC and COwC (p< 0.001 for both comparisons; Figure). In nine patients (18%), CO increased by more than 20%. In patients with LVEF < 40% COwC was 2.4±0.8 liters per minute (LPM) and COaHMI increased to 2.7± 0.8 LPM (p=0001). In patients with LVEF≥40%, COwC was 3.4±1.06 LPM while COaHMI increased to 3.8± 1.2 LPM (p=0.00001). Conclusions: Application of diagnostic guided high MI impulses during a commercially available microbubble infusion significantly increases CO irrespective of underlying left ventricular systolic function.

Left ventricular septal convexity in differentiating hypertrophic cardiomyopathy from hypertensive heart disease – cardiac MRI study

Background Subjects with hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) have left ventricular hypertrophy (LVH). It is a common clinical problem to distinguish HCM from HHD. Septal convexity (SC) into the left ventricle is increased in subjects with hypertrophic cardiomyopathy (HCM)-causing mutations with and without LVH. Purpose Our objective was to study if SC by cardiac magnetic resonance (CMR) differentiates between HCM and HHD. Methods We measured SC in 29 subjects with hypertension and LVH (left ventricular maximal wall thickness (LVMWT) ≥13 mm), in 49 subjects with HCM (LVMWT ≥13 mm) caused by the D175N mutation in the alpha-tropomyosin (TPM1) or the Q1061X mutation in the myosin binding protein C (MYBPC3) genes, and in 20 healthy controls with no LVH. SC into the LV was measured in end-diastolic 4-chamber images as the maximal distance between LV septal endocardial border and a line connecting septal mid-wall points at the level of tricuspid valve insertion and at the level of apical right ventricular insertion on the LV. Results Subjects with HCM had significantly increased septal convexity compared to subjects with HHD both in non-indexed and in BSA-indexed measurements (10.7±4.0 mm vs 4.9±2.7 mm, P&lt;0.001 and 5.5±2.1 mm/m2 vs 2.4±1.3 mm/m2, P&lt;0.001). To differentiate between HCM and HHD, septal convexity cutoff value of 7.85 mm performed best with sensitivity of 77% and specificity of 90%. BSA-indexed SC cutoff value of 3.68 mm differentiated between HCM and HHD with sensitivity of 81% and specificity of 86%. Conclusions CMR derived septal convexity is easily measured and is useful in discriminating between HCM caused by sarcomere mutations versus HHD. Measurement of septal convexity Funding Acknowledgement Type of funding source: Private grant(s) and/or Sponsorship. Main funding source(s): Finnish Foundation of Cardiovascular Research, the special governmental subsidy for health sciences research of the University Hospital of Kuopio

The impact of maternal diabetes on fetal left atrial size and function

Introduction The developmental impact of maternal diabetes on the fetal left atrium (LA) is unclear. Purpose To determine if maternal diabetes mellitus (DM) impacts fetal LA size and function (fetal LA strain (LAS)). Methods We evaluated LA area (LAA) and LAS on fetuses of diabetic and control mothers who attended a mandated 24 week fetal morphology scan. Participants were excluded from the study if: there was a history of pre-eclampsia or if the fetus did not have adequate images for LAS analysis We used fetal cardiac 4-chamber view for analysis. A region of interest was drawn along the LA endocardial border for tracking and was used for assessment of maximum LAA. Baseline variables were compared using Student t test or Mann-Whitney U test and are presented as Mean ± Standard Deviation or Median (Interquartile range (IQR)). Body mass index (BMI), maternal age, gestational age, fetal heart rate (FHR), smoking status, estimated fetal weight (EFW) and Maternal DM were analysed in univariate and multivariate models with respect to LAA and LAS. Results 160 pregnant women (50 controls, 110 diabetics) were scanned. 9 were excluded due to poor image quality, resulting in 104 mothers with diabetes (T1DM 9, T2DM 8, and gestational DM 87) and 47 controls without diabetes. The mothers were well matched for age, blood pressure, smoking prevalence and gestational age. The diabetic mothers had a significantly higher BMI: Median (IQR) ((30.4 kg/m2 (25.1–34.8) vs 20.8 kg/m2 (21.4–27.4), p&lt;0.001) and had higher weight (77 kg (65–93) vs 64 kg (62–68), p&lt;0.001). FHR was higher in fetuses of diabetic mothers (147±10 vs 144±8, p 0.04). Maternal DM resulted in larger LAA 1.68 cm2±0.39 cm2 vs 1.56 cm2±0.36 cm2; p=0. 08, however the result was not significant. The LAS was significantly lower in fetuses with maternal DM compared to fetuses of controls: 28.8% ± 8.8% vs 32.3% ± 9.2%; p 0.033. On multivariate analysis (Table 1), the predictors of LAS were Maternal DM and FHR and predictors of LAA were EFW and Maternal DM. Conclusions Maternal diabetes modulates both LA size and LA function. The association between LA function and FHR may provide an explanation for fetal tachycardia in Maternal DM. Fetal left atrial strain Funding Acknowledgement Type of funding source: None

P900 The Heart Model: Automated LVEF calculation in the real world

Background Heart Model (HM) is a proprietary, model-based algorithm for measurement of left ventricular ejection fraction (LVEF) in a 3D dataset acquired from an apical 4-chamber view by transthoracic echocardiography (TTE). There is evidence for superior reproducibility compared to 2D echo methods for LVEF measurement. Objective To assess the correlation of LVEF by HM with conventional, 2D LVEF methods. Methods All TTEs performed between 04-08/02/2019 by 2 HM-trained sonographers were included. Demographic characteristics, indication for TTE, LVEF by Simpson"s (LVEF_S), by "eyeballing" (LVEF_EB) and by HM (LVEF_HM), were recorded; LVEF for each study was also estimated by eye-balling by an experienced observer unaware of the reported LVEF (LVEF_IND). We compared LVEF by each method, their reciprocal correlations and their correlation with LVEF_HM. Image quality was rated excellent (endocardial border visible for all segments in the 3 apical views), good (&lt; 1 segment was not visible / view), adequate (&lt; 3 segments were not visible) and limited (&lt;4 segments were not visible). Indications for TTE were: assessment of LVEF in 1/3 of the studies, murmurs in 1/5, and other indications in the rest. Results We included 74 patients (42 M, mean age (SD) 69.8(13.9), range 18-92 years). Forty-nine (66%) patients were in sinus rhythm, 23 (31%) were in AF, and the rest were in various paced rhythms. Fifty patients (68%) had excellent, good or adequate images. The EFs calculated by different methods are shown in the Table (p &gt; 0.05 for all), an the Bland Altman plot (LVEF_EB vs HM) in the figure. LVEF_HM correlated modestly with the other methods if all studies were included (r = 0.535 LVEF_HM vs. LVEF_EB); the correlation improved if only good-quality studies were included (r = 0.769, p &lt; 0.001 for both). All combinations of LVEF_IND, LVEF_EB and LVEF_S had correlation coefficients &gt;0.93. Conclusions The Heart Model algorithm for LVEF measurement correlates well with traditional 2D methods in patients with good endocardial border definition, where its use can potentially improve reproducibility and reduce exam duration. LVEF by method (good-quality studies) N = 50 Simpson"s Eyeballing HeartModel Independent Mean(%) 48.6 48.9 50.9 48.8 SD(%) 17.8 16.6 14.9 15.7 Median(%) 54.5 52.5 53 50 Range(%) 16-74 17.5-72.5 19-88 15-75 SD - standard deviation Independent - LVEF estimate (eyeballing) by independent observer unaware of reported EFs. LVEF_EB was chosen as it was available inall the reports. Abstract P900 Figure. Bland Altman Plot (LVEF_EB vs LVEF_HM)

1030 Usefulness of novel fully automated 2D speckle tracking software for left ventricular, left atrial, and right ventricular longitudinal strain analysis

Funding Acknowledgements Philips Medical Systems Background Continuous efforts of EACVI-ASE strain standardization task force make inter-vendor variability of left ventricular (LV) global longitudinal strain (GLS) lower. However, observer variability is still a major source of measurement inconsistency. The adoption of fully automated 2D strain software has a potential to eliminate this problem. Purpose We aimed to validate the usefulness of novel fully automated LV, left atrial (LA), and right ventricular (RV) 2D speckle tracking software packages. Methods We retrospectively selected 91 healthy subjects who had undergone 2D echocardiography using a specific ultrasound machine (EPIQ, Philips Medical Systems). Standard apical 4-chamber, 2-chamber, and long-axis views which encompassed whole part of both left ventricle and left atrium and RV focused view were acquired in all subjects. Novel fully automated speckle tracking software packages (AutoStrain, QLAB 13.0) were used for measuring GLS on the three apical views, LA longitudinal strain (LALS) on the apical-4-chamber view, and RV free wall longitudinal strain (RVfwLS) on the RV-focused view. Image quality was assessed by 3-point scales (good, fair, and poor). Endocardial border detection was also classified into 3 groups (adequate, poor, and no detection). Endocardial border was manually adjusted, when required. Results of fully automated analysis and results with fully automated analysis + manual editing were compared. Results Mean age was 37 ± 13 years, and 61 subjects were men. The image quality was categorized more than "fair" in 80% of subjects. The software did not recognize LA border in 3 cases and RV border in 4 cases. Thus, the feasibility of fully automated LV, LA, and RV analysis were 100%, 97%, and 96%, respectively. LVGLS, LALS, and RVfwLS using fully automated approach were 19.7 ± 2.3%, 45.5 ± 11.6%, and 25.7 ± 5.6%, respectively. Manual correction was required in all cases. LVGLS, LALS, and RVfwLS after the manual editing were 18.9 ± 2.1%, 44.0 ± 10.4%, and 26.6 ± 6.4%. The intraclass correlation coefficient (ICC) between the two methods were 0.86, 0.72, and 0.74. The fully automated analysis took 22 ± 2 sec, 11 ± 1 sec, and 10 ± 1 sec for the measurements of LVGLS, LALS, and RVfwLS. The corresponding values with manual editing were 98 ± 18 sec, 53 ± 12 sec, and 52 ± 12 sec, respectively. Inter-observer ICCs of LVGLS, LALS, and RVfwLS with fully automated approach were all 1.0, but corresponding values after the manual editing were 0.82, 0.74, and 0.79, respectively. Conclusions Novel fully automated 2D speckle tracking software packages provide LVGLS, LALS, and RVfwLS within one minute, and these values were well correlated with the corresponding values after the manual editing, especially for LVGLS. This is a time-saving approach for longitudinal strain analysis in the three cardiac chambers. Further studies should be required to validate their potential utility in clinical setting.