Left Ventricular End-diastolic Volume Index Research Articles

Correlation study between magnetic resonance imaging-quantitated cardiac iron deposition and left ventricular function in patients with β-thalassemia major in China.

To explore the correlation between cardiac iron deposition and left ventricular function indicators, such as left ventricular end-diastolic volume index, left ventricular end-systolic volume index, and left ventricular ejection fraction, and to evaluate the accuracy of predicting patients with cardiac iron deposition by using left ventricular ejection fraction as an index. This quantitative cross-sectional study involved one hundred and fifty transfusion-dependent patients with β-thalassemia major who were evaluated by magnetic resonance imaging to obtain T2* values, left ventricular end-diastolic volume index, left ventricular end-systolic volume index, and left ventricular ejection fraction. The relationship between cardiac R2* values and left ventricular end-diastolic volume index, left ventricular end-systolic volume index, and left ventricular ejection fraction was analyzed. Out of the 150 patients, cardiac iron overload was not observed for 92 patients, 42 patients exhibited mild to moderate cardiac iron overload, and 16 patients were severe cardiac iron overloaded. A linear correlation was not observed between the cardiac R2* values and left ventricular end-diastolic volume index, left ventricular end-systolic volume index, and left ventricular ejection fraction (P > 0.05). For the left ventricular ejection fraction index, the sensibility, specificity, positive predictive value, negative predictive value, and the agreement rate were 83.3%, 63.2%, 8.6%, 98.9%, and 64.0%, respectively; also, the area under the receiver operating characteristic curve was 0.348. A linear correlation was not observed between cardiac R2* values and left ventricular end-diastolic volume index, left ventricular end-systolic volume index, and left ventricular ejection fraction in patients with β-thalassemia major. Therefore, using left ventricular ejection fraction as an indirect index to predict cardiac iron deposition may be not reliable in clinical practice.

Myocardial work indices and global longitudinal strain: equivalent prognostic value in chronic HFrEF

Abstract Background Non-invasive myocardial work (MW) indices can be estimated from pressure-strain loops obtained by integrating left ventricular global longitudinal strain (LVGLS) with brachial systolic blood pressure (SBP) and cardiac event timings (opening and closure of the aortic and mitral valve). Compared to LV GLS, MW indices offer the possibility to correct myocardial performance for LV afterload and dyssynchrony. Purpose To assess whether MW indices could provide additional prognostic value in a contemporary cohort of stable outpatients with chronic heart failure with reduced ejection fraction (HFrEF) on optimal medical and device therapy, with controlled afterload and no dyssynchrony. Methods We retrospectively analyzed 307 patients (mean age 65.6±12.7 years, 78% males) with reduced LV ejection fraction (LVEF<50%). Liner regressions were performed to assess the relationships between MW indices and LVGLS, SBP, and parameters of inter- (i.e. inter-ventricular mechanical delay>40 msec) and intra-ventricular (i.e. mechanical dispersion>100 msec) dyssynchrony. The study endpoint was a composite of all-cause death/HF-hospitalization. Multivariable models including each MW indices once at a time [global work index (GWI), global constructive work (GCW), global wasted work (GWW) and global work efficiency (GWE)] were compared with the model including LVGLS by C-statistics. Results Mean LVEF was 32±9%, mean LVGLS was -9±3, mean GWI was 800±378 mmHg% and median NT-proBNP was 1.800 pg/ml (IQR: 731–4110). The majority of patients (84%) had SBP< 130 mmHg (mean 117±16 mmHg), and had no inter- (71%) and (68%) intra-ventricular dyssynchrony. Over a median follow-up of 20 months (IQR: 11-34), 82 patients reached the study endpoint. After multivariable adjustment for MAGGIC score, natriuretic peptide levels, LV end-diastolic volume index, left atrial volume index, E/e’ ratio, and TAPSE/PASP ratio, both GWI and GCW were independently associated with adverse outcomes, with identical goodness of fit compared to the model including LVGLS (C-index 0.75 for all). On the contrary, both GWW and GWE were not independently associated with outcomes. While GWI and GCW were strongly correlated with LVGLS (B coefficient<-0.85; Figure), their association with SBP was modest and there was no significant association between them and parameters of intra- and inter-ventricular dyssynchrony. Conclusions In a cohort of stable chronic HFrEF patients on optimal medical and device therapy, with controlled afterload and without dyssynchrony, MW indices showed similar prognostic value to LVGLS. Association between LVGLS and MW indices

Left ventricular force with resting volumetric transthoracic echocardiography identifies different phenotypes in heart failure with preserved ejection fraction

Abstract Background Heart failure and preserved ejection fraction (HFpEF) is a heterogeneous entity including patients with different phenotypes of reduced, normal, and supernormal left ventricular (LV) function. Objectives To assess the value of resting LV elastance with transthoracic echocardiography (TTE) to identify HFpEF phenotypes. Methods In a prospective, observational, multicenter study, 2380 HFpEF patients were recruited from July 2016 to May 2024 by 35 certified laboratories of 15 countries. HFpEF was diagnosed according to the European Society of Cardiology (ESC) guidelines. Systolic blood pressure (SBP) was measured. We assessed wall motion score index (WMSI), LV end-diastolic volume (EDV), end-systolic volume (ESV), EF, force (SBP/ESV), stroke volume (SV), arterial elastance (AE, SBP/SV), ventricular-arterial coupling (VAC, as SV/ESV), and left atrial volume index (LAVI). Global longitudinal strain (GLS) was available in 1164 (48.9%) patients. In 271 (11.4%) patients, N-terminal pro-brain natriuretic peptide (NT-proBNP) was assessed. Patients were divided into three groups based on rest force: low rest force group (< 25% percentile, Group 1), median rest force group (≥ 25% percentile & ≤ 75% percentile, Group 2), and high rest force group (> 75% percentile, Group 3). Results 330 (13.9%) patients presented with ischemic RWMA. The 3 groups showed a gradient with descending values (Group 3>2>1) for SBP, EF, GLS, AE, and VAC, with the opposite gradient (Group 1> 2> 3) for EDV, EDVi, ESV, ESVi, SV, SVi, and LAVI values (all P<0.01). Patients in Group 3 have higher NTproBNP level and higher percentage of B-line compared to groups 1 and 2 (P<0.05). The 3 groups were similar for values of coronary flow velocity, systolic pulmonary artery pressure, and E/e’ (see table). Univariable linear regression analysis showed that NTproBNP was correlated with force (r = 0.271, p < 0.001), VAC (r = 0.194, p = 0.001), LAVI (r = 0.327, p < 0.001), LVEDV (r = -0.245, p < 0.001), LVEDVi (r = -0.261, p < 0.001), LVESVi (r = -0.190, p = 0.002) and LVESV (r = -0.187, p = 0.002) (see figure). However, multivariable linear regression analysis showed that NTproBNP was independently associated with LAVI (β= 0.211, p < 0.001) and force (β= 1.804, p = 0.002). Conclusions HFpEF patients present with different LV contractile phenotypes, easily identified with resting LV force and volumetric TTE. LV force is linearly correlated with cardiac natriuretic peptide levels. The dominant hemodynamic feature of hypocontractile phenotype is a preload recruitment with dilation of LV EDV and normal SV, while the hypercontractile phenotype is characterized by a small LV with reduced SV. heat map

Impact of papillary muscle infarction on atrial and ventricular myocardial deformation in non-anterior STEMI patients.

The purpose of this study was to explore the impact of papillary muscle (PPM) infarction on left atrial and ventricular strain parameters in patients with non-anterior ST-segment elevation myocardial infarction (NA-STEMI) using cardiovascular magnetic resonance (CMR). This retrospective study performed CMR scans on 88 consecutive patients with NA-STEMI (68 males, 65 ± 10.05 years). Among them, 30 demonstrated PPM infarction (25 males, 67.12 ± 9.49 years), defined as late gadolinium enhancement (LGE) in a papillary muscle head in two contiguous LGE CMR slices, and confirmed on the long-axis LGE CMR slices. Atrial and ventricular strain were analyzed by CMR feature tracking with dedicated post-processing software. Patients with PPM infarction were older (p = 0.001), with lower left ventricular ejection fraction (p = 0.040), higher indexed left ventricular end-diastolic volume (p = 0.020), and end-systolic volume (p = 0.044) compared to patients without LGE in the papillary muscle. Additionally, patients with PPM infarction showed impaired reservoir strain, booster strain, global longitudinal strain (GLS), and higher LGE extent compared to NA-STEMI patients without PPM involvement (p = 0.001, p = 0.004, p = 0.001, and p = 0.003, respectively). In multivariable analysis, GLS, global radial strain, reservoir strain, and booster strain parameters were the only independent determinants of PPM infarction (p = 0.001, p = 0.041, p = 0.002, and p = 0.027, respectively). The presence of PPM infarction assessed by CMR is independently linked to atrial and ventricular strain impairment in patients with NA-STEMI.

Comprehensive 4D-flow cardiac magnetic resonance evaluation of the descending thoracic aorta in aortic regurgitation.

To assess the reproducibility of 4D-Flow cardiac magnetic resonance (CMR) parameters in the descending thoracic aorta-DTAo-(regurgitant fraction [RF], end-diastolic reverse flow [EDRF], and holodiastolic flow reversal [HDR]), and the relationship with RF in the sinotubular junction (STJ), and the left ventricular end-diastolic volume index (LVEDVI) in patients with chronic aortic regurgitation (AR). A descriptive study of these variables was conducted. A receiver operating characteristic curve was used to determine the optimal cut-off point. Thirty patients had severe AR (RF ≥ 30%, STJ) and 60 mild-to-moderate (RF < 30%). The mean age was 59 ± 17 years. Left ventricular ejection fraction (LVEF) was 56% (53-61%) and LVEDVI was 94 (76-128) mL/m2. Flow in the DTAo at the left inferior pulmonary vein (LIPV) was easily identifiable and measurements were highly reproducible. The intraclass correlation coefficient was 0.969 (95% CI: 0.954-0.980) for RF and 0.929 (95% CI: 0.893-0.952) for EDRF. Flow parameters measured at the LIPV were all significantly greater in the severe AR group: RF (21% vs. 6%, P < 0.001), EDRF (20 vs. 4 mL/s; P < 0.001), and HDR (20% vs. 8%; P < 0.001). Three parameters-presence of HDR, RF ≥ 17%, and EDRF ≥ 7 mL/s at the LIPV-were associated with RF ≥ 30% in the STJ and elevated LVEDVI. 4D-flow CMR can reproducibly assess flow in the DTAo in patients with chronic AR. An RF ≥ 17%, EDRF ≥ 7 mL/s, and/or the presence of HDR in the DTAo (LIPV) were associated with an RF ≥ 30% in STJ and elevated LVEDVI.

Predictive value of left atrial strain for left ventricular reverse remodeling in dilated cardiomyopathy.

Early prediction of left ventricular reverse remodeling (LVRR) can guide the subsequent treatment in dilated cardiomyopathy (DCM) patients. We aimed to investigate the value of left atrium (LA) strain for predicting LVRR in DCM patients. Clinical and imaging data of DCM patients were gather between January 2018 and January 2023. The participators were divided into LVRR group and non-LVRR group according to the ultrasound follow-up results. CMR images were process to yield LA fast long-axis strain parameters. Univariate and multivariate logistic regression analysis was used to screen the predictors and establish the prediction model. The study included 116 participants. LVRR occurred in 69 participants within 1 year. Compared with the non-LVRR group, the LVRR group has smaller left ventricular end-diastolic volume index (LVEDVi), late gadolinium enhancement extent (LGE%) and higher left atrial passive eject fraction (LAPEF), left atrial reservoir strain (LARS) and left atrial conduit strain (LACS). In multivariable logistic regression analysis, LVEDVi (HR: 0.990; 95 % CI: 0.981, 0.999; P = 0.037), LACS (HR: 1.434; 95 % CI: 1.025, 2.007; P = 0.035) and LGE% (HR: 0.713; 95 % CI: 0.584, 0.870; P = 0.001) were independent predictors of LVRR. The model based on NYHA, LVEDVi, LGE% and LACS had a better performance in predicting LVRR (AUC = 0.807; 95 % CI: 0.723; 0.874). LVEDVi, LACS and LGE% were independent predictors of LVRR within 1 year in DCM patients. The combination of NYHA, LVEDVi, LACS and LGE% has a better predictive performance.

Microvascular Dysfunction in Patients with Idiopathic Dilated Cardiomyopathy: Quantitative Assessment with Phase Contrast Cine MR Imaging of the Coronary Sinus

The purposes of this study were to compare global coronary flow reserve (CFR) between patients with idiopathic dilated cardiomyopathy (DCM) and risk-matched controls using cardiac MRI (CMR), and to evaluate the relationship between global CFR and CMR left ventricular (LV) parameters. Twenty-six patients with DCM and 26 risk-matched controls who underwent comprehensive CMR examination, including stress-rest coronary sinus flow measurement by phase contrast (PC) cine CMR were retrospectively studied. LV peak global longitudinal, radial, and circumferential strains (GLS, GRS, and GCS) were determined by feature tracking. Patients with DCM had significantly lower global CFR compared with the risk-matched controls (2.87 ± 0.86 vs. 4.03 ± 1.47, P = 0.001). Among the parameters, univariate linear regression analyses revealed significant correlation of global CFR with LV end-diastolic volume index (r = -0.396, P = 0.045), LV mass index (r = -0.461, P = 0.018), GLS (r = -0.558, P = 0.003), and GRS (r = 0.392, P = 0.047). Multiple linear regression analysis revealed GLS as the only independent predictor of global CFR (standardized β = -0.558, P = 0.003). Global CFR was significantly impaired in patients with idiopathic DCM and independently associated with LV GLS, suggesting that microvascular dysfunction may contribute to deterioration of LV function in patients with idiopathic DCM.

Left ventricular elastance with resting volumetric transthoracic echocardiography identifies different phenotypes in heart failure with preserved ejection fraction: A retrospective analysis of a multicenter prospective observational study.

Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous entity including patients with different phenotypes of near normal, normal, and supernormal left ventricular (LV) function. To assess the value of resting LV elastance (also known as force) with transthoracic echocardiography (TTE) to identify HFpEF phenotypes. In a prospective, observational, multicenter study, 2380 HFpEF patients were recruited from July 2016 to May 2024. Systolic blood pressure (SBP) was measured. We assessed LV end-diastolic volume (EDV), end-systolic volume (ESV), EF, force (SBP/ESV), stroke volume (SV), arterial elastance (AE), ventricular-arterial coupling (VAC), and left atrial volume index (LAVI). Global longitudinal strain (GLS) was available in 1164 (48.9%) patients. 680 patients finished follow-up with a composite end-point of major adverse cardiac events (MACEs). Patients were divided into three groups: low force (< 25th percentile, Group 1, < 3.24 mmHg/ml), intermediate force (≥ 25th percentile and ≤ 75 th percentile, Group 2, 3.24-5.48 mmHg/ml), and high force (> 75 th percentile, Group 3, >5.48 mmHg/ml). The 3 groups showed a gradient with descending values (Group 3>2>1) for SBP, EF, GLS, AE, and VAC, with the opposite gradient (Group 1> 2> 3) for EDV, ESV, SV, and LAVI values (all P<0.01). After a median follow-up of 16 months, 205 MACEs occurred in 138 patients. Cumulative MACEs rate was lowest in group 2 (14.7% person-year), higher in group 1 (16.1% person-year) and 3 (22.9% person-year, log rank p = 0.036). HFpEF patients present with different LV contractile phenotypes, easily identified with resting LV force and volumetric TTE. The dominant hemodynamic feature of hypocontractile phenotype is a preload recruitment with larger LV EDV and normal SV, while the hypercontractile phenotype is characterized by a small LV with reduced SV. The hypercontractile and hypocontractile phenotypes are associated with a higher risk of subsequent events.

A Protocol Investigation Comparing Transcatheter Repair with the Standard Surgical Procedure for Secondary Mitral Regurgitation.

Background: Secondary mitral regurgitation (SMR) is characterized by a pathological process impacting the left ventricle (LV) as opposed to the mitral valve (MV). In the absence of structural alterations to the MV, the expansion of the LV or impairment of the papillary muscles (PMs) may ensue. A number of technical procedures are accessible for the purpose of determining the optimal resolution for MR. Nevertheless, there is a dearth of rigorous data to facilitate a comparative analysis of MV replacement, MV repair (including subvalvular repair), and transcatheter mitral valve interventions (TMV-Is). The objective of this investigation is to evaluate and compare the efficacy and clinical outcomes of transcatheter mitral valve repair (TMV-r) utilizing the edge-to-edge mitral valve repair (TEER) procedure in comparison to conventional surgical mitral valve interventions (S-SMVis) in patients with secondary mitral regurgitation. Methods and analysis: A consortium of five cardiac surgery institutions from four European states and Japan have joined forces to establish a multicenter observational registry, designated TEERMISO. Patients who underwent technical procedures for SMR between January 2007 and December 2023 will be enrolled consecutively into the TEERMISO registry. The investigation team evaluated the comparative efficacy of replacement and repair techniques, utilizing both the standard surgical methodology and the transcatheter intervention. The primary clinical outcome will be the degree of left ventricular remodeling, as assessed by the left ventricular end-diastolic volume index, at 10 years. The forthcoming research will assess a variety of secondary endpoints, among which all-cause mortality will be the primary endpoint. Subsequent assessments will be made in the following order: functional status, hospitalization, neurocognition, physiological measures (echocardiographic assessment), occurrence of adverse clinical incidents, and reoperation. Ethics and dissemination: The multicenter design of the database is anticipated to reduce the potential for bias associated with institutional caseload and surgical experience. All participating centers possess an established mitral valve protocol that facilitates comprehensive follow-up and management of any delayed mitral complications following replacement surgery or surgical repair of the secondary mitral regurgitation. The data collected will provide insights into the impact of diverse surgical approaches on standard mitral valve surgery and TEER. This will facilitate the evaluation of LV remodeling over the course of long-term post-procedural follow-up. Trial Registration: ClinicalTrials.gov ID: NCT05090540; IRB ID: 202201143.

Empagliflozin to prevent worsening of left ventricular volumes and systolic function after myocardial infarction (EMPRESS-MI).

Patients with a reduced left ventricular ejection fraction (LVEF) following an acute myocardial infarction (MI) are considered to be at risk of progressive adverse cardiac remodelling which can lead to the development of heart failure and death. The early addition of a sodium-glucose cotransporter 2 (SGLT2) inhibitor to standard treatment may delay or prevent progressive adverse remodelling in these patients. We performed a randomized, double-blind, placebo-controlled, multicentre trial using cardiovascular magnetic resonance imaging (MRI), in patients with left ventricular systolic dysfunction following MI. Eligible patients were those ≥12 h and ≤14 days following acute MI, with an LVEF <45% by MRI. Patients were randomized to empagliflozin 10 mg once a day or matching placebo. The primary outcome was the change in left ventricular end-systolic volume indexed to body surface area (LVESVI) from baseline to 24 weeks. Secondary outcomes included measures of left ventricular and atrial volumes, left ventricular mass, LVEF, and high-sensitivity troponin I (hs-TnI) and N-terminal prohormone of B-type natriuretic peptide (NT-proBNP) concentrations. From October 2022 to January 2024, 105 eligible patients were randomized. The mean age was 63 ± 11 years and 90 (87%) were male. The mean LVEF was 34.8 ± 6.0%. In the placebo group, LVESVI decreased by 7.8 ± 16.3 ml/m2, left ventricular end-diastolic volume index (LVEDVI) did not change (-0.3 ± 18.7 ml/m2) and LVEF increased by 8.5 ± 7.4% at 24 weeks from baseline. Empagliflozin did not affect the change in LVESVI from baseline to 24 weeks (between-group difference = 0.3 ml/m2, 95% confidence interval -5.2 to 5.8; p = 0.92). Compared with placebo, empagliflozin also had no effect on LVEDVI, LVEF, left atrial volume index, left ventricular mass index, NT-proBNP, or hs-TnI, but did increase haematocrit and reduced uric acid and weight. In patients with left ventricular systolic dysfunction after an acute MI receiving contemporary standard of care, treatment with empagliflozin had no effect on cardiac volumes or LVEF compared with placebo. Progressive adverse cardiac remodelling did not occur in the majority of patients.

Biatrial and Biventricular Reference Ranges Based on Cardiac Magnetic Resonance in Sickle Cell Disease Patients Without Heart Damage.

We aimed to establish biatrial and biventricular reference ranges using cardiac magnetic resonance (CMR) parameters in SCD patients without heart damage. This study compared CMR parameters, quantified by cine SSFP sequences, in 48 adult SCD patients without apparent cardiac involvement (defined by the absence of known risk factors, normal electrocardiogram, and no macroscopic myocardial fibrosis or significant cardiac iron on T2* CMR) to matched cohorts of 96 healthy controls and 96 thalassemia major (TM) patients without cardiac damage. Nine paediatric SCD patients were also analysed and compared to age- and gender-matched groups of nine TM patients and nine healthy subjects. In all groups, studied males displayed higher biventricular volumes and mass indexes than females. Male SCD patients showed significantly higher left ventricular (LV) end-diastolic volume index (EDVI), LV end-systolic volume index (ESVI), LV stroke volume index (SVI), cardiac index, LV and right ventricular (RV) mass index, and atrial areas than healthy subjects. Females with SCD exhibited increased LV EDVI, LV SVI, RV mass index, and left atrial area index compared to healthy controls. SCD and TM patients showed comparable biatrial areas and biventricular volumes and function. When compared to TM, SCD males exhibited a larger mass index, while SCD females showed an increased RV mass index. CMR parameters were similar across all paediatric groups. By establishing the biatrial and biventricular reference ranges through CMR for adult male and female SCD patients, we aimed to prevent possible misdiagnosis of cardiomyopathy in this population by taking into account cardiac adaptation due to anaemia.

Effect of optimisation to contemporary HFrEF medical therapy with sacubitril/valsartan (Entresto) and dapaglifloziN on left Ventricular reverse remodelling as demonstrated by cardiac magnetic resonance (CMR) Imaging: the ENVI study

IntroductionHeart failure with reduced ejection fraction (HFrEF) guidelines recommend ‘four pillars’ of medical therapy and device therapy if left ventricular ejection fraction (LVEF) remains ≤35% after 3 months optimum medical...

Study on predicting new onset heart failure events in patients with hypertrophic cardiomyopathy using machine learning algorithms based on clinical and magnetic resonance features

Objective: To explore the value of predicting new-onset heart failure events in patients with hypertrophic cardiomyopathy (HCM) using clinical and cardiac magnetic resonance (CMR) features based on machine learning algorithms. Methods: The study was a retrospective cohort study. Patients with a confirmed diagnosis of HCM who underwent CMR examinations at Beijing Anzhen Hospital from May 2017 to March 2021 were selected and randomly divided into the training set and the validation set in a ratio of 7∶3. Clinical data and CMR parameters (including conventional parameters and radiomics features) were collected. The endpoint events were heart failure hospitalization and heart failure death, with follow-up ending in January 2023. Features with high stability and P value<0.05 in univariate Cox regression analysis were selected. Subsequently, three machine learning algorithms-random forest, decision tree, and XGBoost-were used to build heart failure event prediction models in the training set. The model performance was then evaluated using the independent validation set, with the performance assessed based on the concordance index. Results: A total of 462 patients were included, with a median age of 51 (39, 62) years, of whom 332 (71.9%) were male. There were 323 patients in the training set and 139 in the validation set. The median follow-up time was 42 (28, 52) months. A total of 44 patients (9.5% (44/462)) experienced endpoint events (8 cases of heart failure death and 36 cases of heart failure hospitalization), with 31 events in the training set and 13 in the validation set. Univariate Cox regression analysis identified 39 radiomic features, 4 conventional CMR parameters (left ventricular end-diastolic volume index, left ventricular end-systolic volume index, left ventricular ejection fraction, and late gadolinium enhancement ratio), and 1 clinical feature (history of non-sustained ventricular tachycardia) that could be included in the machine learning model. In the prediction models built with the training set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.966 (95%CI 0.813-0.995), 0.956 (95%CI 0.796-0.992), and 0.973 (95%CI 0.823-0.996), respectively. In the validation set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.854 (95%CI 0.557-0.964), 0.706 (95%CI 0.399-0.896), and 0.703 (95%CI 0.408-0.890), respectively. Conclusion: Integrating clinical and CMR features of HCM patients through machine learning aids in predicting heart failure events, with the random forest model showing superior performance.

Comparing HeartModelAI and cardiac magnetic resonance imaging for left ventricular volume and function evaluation in patients with dilated cardiomyopathy

BackgroundIntegration of artificial intelligence enhances precision, yielding dependable evaluations of left ventricular volumes and ejection fraction despite image quality variations. Commercial software like HeartModelAI provides fully automated 3DE quantification, simplifying the measurement of left chamber volumes and ejection fraction. In this manuscript, we present a cross-sectional study to assess and compare the diagnostic accuracy of automated 3D echocardiography (HeartModelAI) to the standard Cardiac Magnetic Resonance Imaging in patients with dilated cardiomyopathy.MethodsIn this cross-sectional study, 30 patients with dilated cardiomyopathy referring to the Tehran Heart Center with cardiac magnetic resonance imaging and comprehensive 3D transthoracic echocardiography within 24 h were included. All 3D volume analysis was performed with fully automated quantification software (HeartModelAI) using 3D images of 2,3, and 4-chamber views at the end of systole and diastole.ResultsExcellent Inter- and Intra-observer correlation coefficient was reported for HeartModelAI software for all indexes. HeartModelAI displayed a remarkable correlation with cardiac magnetic resonance for left ventricular end-systolic volume index (r = 0.918 and r = 0.911); nevertheless, it underestimated left ventricular end-systolic volume index and left ventricular end-diastolic volume index. Conversely, ejection fraction, stroke volume, and left ventricular mass were overestimated. It was found that manual contour correction can enhance the accuracy of automated model estimations, particularly concerning EF in participants needing correction.ConclusionHeartModelAI software emerges as a rapid and viable imaging approach for evaluating the left ventricle’s structure and function. In our study, LV volumes assessed by HeartModelAI demonstrated strong correlations with cardiac magnetic resonance imaging.

Correlating Electrocardiograms with Echocardiographic Parameters in Hemodynamically-Significant Aortic Regurgitation Using Deep Learning.

Of all electrocardiogram (ECG) deep-learning (DL) models used to detect left-sided valvular heart diseases, aortic regurgitation (AR) has been the hardest to detect. Moreover, to what extent ECGs could detect AR-related left ventricular (LV) remodeling and dysfunction is unknown. We aimed to evaluate the ability of DL-based ECG models to predict LV remodeling parameters associated with hemodynamically significant AR. From 573 consecutive patients, 1457 12-lead ECGs close to baseline transthoracic echocardiograms confirming ≥ moderate-severe AR and before aortic valve surgery were retrospectively collected. A ResNet-based model was used to predict LV ejection fraction (LVEF), LV end-diastolic dimension (LVEDD), LV end-systolic dimension index (LVESDi), LV mass index (LVMi), LV end-diastolic volume index (LVEDVi), LV end-systolic volume index (LVESVi), and bicuspid aortic valve (BAV) from the ECGs. Five-fold cross-validation was used for model development (80%) with the held-out testing set (20%) to evaluate its performance. Our DL model achieved area under receiver operating characteristic curves (AUROCs) of 0.77, 0.80, and 0.87 for discriminating LVEF < 55%, < 50%, and < 40%. For LVEDD > 65 mm, LVESDi > 30 mm/m2, LVESVi > 45 ml/m2, LVEDVi > 99 ml/m2, LVMi > 158 mm/m2, and BAV, our model also achieved significant results, with AUROCs of 0.83, 0.85, 0.84, 0.81, 0.78, and 0.74, respectively. The SHapley Additive exPlanation values showed that our model focused on the QRS complex while making decisions. Our DL model found correlations between ECGs and parameters indicating LV remodeling and dysfunction in patients with significant AR. Analyzing ECGs with DL models may assist in the timely detection of LV dysfunction and screening for the necessity of additional echocardiography exams, especially when echocardiography might not be readily available.

Echocardiographic Evaluation of Chronic Aortic Regurgitation: Comparison With Cardiac Magnetic Resonance and Implications for Guideline Recommendations.

Guidelines for echocardiographic evaluation of aortic regurgitation (AR) have not been validated against an independent quantitative standard. The aim of this study was to evaluate the accuracy of the ASE (American Society of Echocardiography) AR guidelines against cardiac magnetic resonance (CMR) and to develop simplified approaches for detection of significant AR. Patients with AR underwent echocardiography and CMR<4 hours apart. AR severity was graded according to ASE guidelines. Quantitation of regurgitant volume (RegV) was performed with pulsed Doppler at the mitral annulus and right ventricular outflow compared with left ventricular (LV) outflow, and with proximal isovelocity surface area. The authors studied 81 patients; median age was 52 years, and 58% had a bicuspid aortic valve. According to echo, 35 (43%) patients had mild AR, 18 (22%) moderate, 12 (15%) moderate to severe, and 16 (20%) had severe AR. The area under the curve (AUC) for detection of severe AR by CMR using ASE grading was 0.9 (82.4% sensitivity and 96.9% specificity). Feasibility of RegV quantitation was >88% using either echo volumetric method, and it was low for proximal isovelocity surface area (37%). The highest accuracy for echo parameters against CMR was seen with vena contracta width, jet width, and LV end-diastolic volume index (AUC: 0.86-0.89); pressure half-time had the lowest accuracy. Without RegV quantitation, a vena contracta width≥0.5cm and indexed LV end-diastolic volume≥82mL/m2 had 95.5% positive predictive value and 87.5% negative predictive value for identifying≥moderate to severe AR by CMR (AUC: 0.89). The ASE guidelines display very good performance in identifying significant AR. A simplified approach using vena contracta width and LV volumes can be used to reliably identify significant AR. Further validation of the findings in larger cohorts and against clinical outcomes is needed.

Evaluating Impact of Surgical Myocardial Revascularization on Global Left Ventricular Systolic Function and Immediate Postoperative Outcome using Transesophageal Echocardiography

Abstract Background and Aims: Surgical myocardial revascularization is supposed to improve the global left ventricular (LV) function by improving the blood supply in significantly occluded coronary arteries. Transesophageal echocardiography (TEE) provides an excellent opportunity to evaluate cardiac function in operating room. Present study was aimed at evaluating impact of surgical myocardial revascularization on global LV systolic function. Comparison of LV fractional shortening (LV-FS), fractional area change (LV-FAC), ejection fraction (LV-EF), indexed LV volumes (indexed LV volumes at end diastole, LV volumes at end systole) and “Tei” (Myocardial performance) index obtained prior and after surgical myocardial revascularization was done for quantitative analysis. Also, the determinants of immediate postoperative outcome were evaluated based on need of pharmacological and/or mechanical cardiovascular support, mechanical ventilation, intensive care unit (ICU) stay, morbidity and mortality in immediate postoperative period. These outcome measures were correlated with baseline values of TEE derived echo indices. Methods: One hundred and ten subjects with significant coronary artery disease scheduled for elective myocardial revascularization surgery. Fourteen subjects were excluded due to presence of either hemodynamic instability requiring either pharmacological or mechanical cardiovascular support, before coronary revascularization (n = 6), presence of Grade III mitral regurgitation (MR) in baseline TEE (n = 2) and arrythmias (n = 6). Ninety six subjects were evaluated for global LV systolic function using TEE before and after surgical revascularization. Subjects were followed in ICU for the outcome. Immediate postoperative outcome was measured as “good” or “poor” based on vasoactive inotropic score, requirement of Intra-aortic balloon counter pulsation (IABP) and mechanical cardiovascular support (VA-ECMO) to maintain cardiac output, duration of mechanical ventilation, postoperative ICU stay, morbidity and mortality. Results: In 96 subjects analyzed, there was a significant improvement in TEE derived LV-FS (38.60 ± 16.38 vs. 31.31 ± 13.14) (P = 0.002), FAC (51.94 ± 16.06 vs. 43.99 ± 16.02) (P ≤ 0.001), EF (53.08 ± 9.97 vs. 46.71 ± 7.53) (P &lt; 0.00001), LV end diastolic volume index (34.84 ± 13.43 vs. 40.08 ± 17.22) (P = 0.0188) and “Tei” index (0.47 ± 0.13 vs. 0.53 ± 0.13) (P = 0.0007). Thirty three subjects required either prolonged stay in ICU (&gt;7 days), (n = 20) and/or mechanical ventilatory support (&gt;24 h), (n = 10) and/or mechanical cardiovascular support (IABP/VA ECMO placement), (n = 7) and/or suffered mortality (n = 2) in postoperative period were categorized as “poor” outcome. Presence of type II diabetes mellitus, Chronic obstructive pulmonary disease (COPD), higher grade of ischemic MR, larger LV end diastolic volume, use of cardiopulmonary bypass and allogenic blood transfusion during surgery were the determinants of “poor” outcome. Conclusion: Surgical myocardial revascularization improved global LV systolic function irrespective of baseline LV EF. Immediate postoperative outcome was strongly determined by presence of diabetes, COPD, higher grade of ischemic MR and larger LV end diastolic volumes. Preoperative (Baseline) LV EF and myocardial performance index did not determine “poor” postoperative outcome following surgical myocardial revascularization in subjects with LVEF &gt;35%.

Cocoa flavanols alleviate early diastolic dysfunction by decreasing left atrial volume in healthy elderly individuals

Abstract Background Enlargement of the left atrium (LA) predicts future cardiovascular events. Current guidelines recommend cocoa flavanol (CF) intake as it provides cardiovascular and metabolic benefits, although underlying mechanisms are not fully revealed. In this study, we hypothesized that CF intake reverses LA enlargement as a surrogate marker for diastolic dysfunction in elderly individuals without cardiovascular diseases. Methods and Results In a randomized, double-blinded trial, we investigated the effects of CF on systolic and diastolic heart function in healthy elderly individuals. Precise assessment of left-atrial and left-ventricular volume as well as strain rates, all together as emblems of early subclinical cardiac impairment, and markers of systolic function were measured by high-resolution cardiac magnetic resonance (CMR) imaging before and after CF intake. Sixty-three participants (59% male) aged ≥ 55 years received either 500 mg CF (n=30) or a placebo (n=33) twice daily for 30 days. CF counteracted subclinical cardiac dysfunction, evidenced by a reduction in maximal LA volume and LA volume index by 12.6±3.5% (p=0.0063 and p=0.0067) and LV end-diastolic volume (LVEDV) and LVEDV index by ~4.9±1.9% (p=0.049 and p=0.0413). CF intake did not influence strain, strain rate, and systolic function parameters, while the systolic blood pressure decreased by 7 mmHg [~4.7±1.9% (p=0.04)]. Conclusion We provide evidence that CF intake mitigates early changes of diastolic dysfunction and improves cardiovascular health by reversing left atrial and left ventricular remodeling. Cocoa flavanol consumption may prevent age-related cardiac changes in healthy elderly individuals and promote a health span free from cardiovascular diseases.

Cardiac magnetic resonance characteristics of the athlete's heart: deeper insights into cardiac remodelling

Abstract Cardiac magnetic resonance (CMR) offers precise quantification for myocardial parameters. Understanding the effects of different training volumes on the athlete’s heart could be the key to distinguishing between cardiac conditions. This study aims to investigate CMR parameters including T1- and T2 mapping in healthy athletes and less active individuals and explore their relationship with training volumes in both sexes. We included healthy athletes (weekly training hours &amp;gt;7) and less active age- and sex-matched control individuals (weekly training hours ≤6), and performed CMR examinations. We assessed ventricular volumes, masses, and function, and conducted T1- and T2-mapping on non-contrast short-axis images. A total of 270 CMR examinations were conducted, comprising 185 athletes (119 males, mean age 22±6 years, weekly training hours: 19±7) and 85 controls (50 males, mean age 26±3 years, weekly training hours: 3±2). In male athletes compared to less active individuals, we observed pronounced signs of sports-related cardiac remodeling, including increased end-diastolic volume and mass index (Left ventricular end-diastolic volume index (LVEDVi): 120±16 vs 97±12 ml/m2, p&amp;lt;0.001; left ventricular mass index (LVMi): 70±14 vs 53±9 g/m2, p&amp;lt;0.001). Similarly, female athletes exhibited significant sports adaptations compared to controls (LVEDVi: 103±12 vs 86±11 ml/m2, p&amp;lt;0.001; LVMi: 54±9 vs 39±5 g/m2, p&amp;lt;0.001). T1-mapping values in athletes were lower than in the control group for both sexes (males: 939±25 vs 961±20 p&amp;lt;0.001, females: 966±21 vs 985±17, p&amp;lt;0.001). T1 values showed negative correlations with training hours (r=-0.362, p&amp;lt;0.001), LVEDVi (r=-0.411, p&amp;lt;0.001), and LVMi (r=-0.546, p&amp;lt;0.001). A significant association between T1 values and training hours persisted across various models. In the raw model, every additional training hour correlated with a T1 reduction of 0.946 ms (p&amp;lt;0.001). Adjusting for age, sex, and heart rate (HR) in model 2, the association remained significant, with each additional training hour corresponding to a T1 reduction of 0.825 ms (p&amp;lt;0.001). Further adjustments for LVMi in model 3 revealed a significant association, with a decrease of 0.565 ms in T1 values for each additional training hour (p=0.002). Among athletes, training years associated with decreased T1 and increased ventricular end-diastolic volumes and myocardial mass indices (LVEDVi: r=0,232, p=0,002; p&amp;lt;0,001; LVMi: r=0,279, p&amp;lt;0,001; T1-mapping: r=-0,169; p=0,026). Examining the differences between sexes we found that female athletes respond slightly less to a unit of exercise compared to males. Our findings underscore that different training hours and invested years have a meaningful impact on physiological adaptation. Female athletes’ heart responds slightly less to these effects. But in both sexes, higher training hours resulted in lower T1 and this relationship persisted independent of the influences of age, HR, and LVMi.

Dynamic changes of excessive trabeculation in dilated cardiomyopathy: a longitudinal cardiovascular magnetic resonance study

Abstract Background A portion of dilated cardiomyopathy (DCM) patients present with left ventricular (LV) excessive trabeculation at diagnosis. It remains unknown if the extent of trabeculation would be reduced after guideline-directed medical therapy (GDMT). Purpose To investigate the dynamic change of excessive trabeculation after GDMT in patients with DCM, and its relationship with that in LV structure and function. Methods A group of DCM patients with baseline and follow-up cardiovascular magnetic resonance (CMR) examination after 1-2 years of GDMT were enrolled. Trabeculation was assessed by Petersen method as measuring the thickness of the most prominent non-compacted (NC) layer and the corresponding compacted (C) segment at the apical long-axis view at end-diastole. Excessive trabeculation was defined as the NC/C ratio &amp;gt; 2.3, and a regression was reached if it decreased to ≤ 2.3. Major adverse cardiovascular events (MACE) consisted of cardiovascular death, heart transplantation, and heart failure readmission. Results Among 218 DCM patients (45 ± 14 years, 67.4% male), 58 (26.6%) met the excessive trabeculation criteria at baseline. Despite a similar LV ejection fraction (LVEF), patients with excessive trabeculation had a higher LV end-diastolic dimension (73.3 ± 9.0 vs. 70.5 ± 8.0mm) and native T1 (1325.3 ± 71.2 vs. 1305.5 ± 65.9mm) (both p&amp;lt;0.05) with a trend of more late gadolinium enhancement (51.7% vs. 39.4% of patients). After 15 months of GDMT, patients with excessive trabeculation (n=58) showed a decreased NC layer (12.7 ± 3.4 vs. 11.3 ± 3.0 mm) and NC/C ratio (3.1 ± 0.9 vs. 2.7 ± 0.9) (both p &amp;lt; 0.05), 25.9% of whom showed a regression of trabeculation. Patients with the regression had a lower NC/C ratio (1.8 ± 0.4 vs. 3.0 ± 0.8, p &amp;lt; 0.001) and LV end-diastolic volume index (LVEDVi) (121.5 ± 40.5 ml/m2 vs. 165.9 ± 67.8ml/m2, p=0.004) compared with those without. The change of (△) NC/C ratio was associated with that of LVEDVi (r = 0.323), and LVEF as well (r = -0.254) (both p &amp;lt; 0.001). Excessive trabeculation at baseline did not differentiate patients with a higher risk of MACE by Kaplan-Meier survival curve (p= 0.208), but its persistent presence at follow-up did (p= 0.004). However, when put △NC/C ratio, △LVEDVi, △LVEF and In NT-proBNP into multivariate cox regression model, only the △LVEDVi (HR, 0.963; 95% CI: 0.942, 0.985; P = 0.001) and In NT-proBNP (HR, 2.016; 95% CI: 1.288, 3.157; P = 0.002) were independent predictors of MACE. Conclusions Regression of excessive trabeculation occurred after GDMT in DCM patients that was related somewhat to LV reverse remodeling and not an independent predictor of MACE. It may also indicate the interconnection between LV remodeling and trabeculation.