Head-to-Head Comparison of Global Longitudinal Strain Measurements among Nine Different Vendors

The Effect of Smoothing and Drift Compensation on Fetal Strain

OBJECTIVE

The aim of this study was to assess the effect of user-regulated image-processing settings (spatial smoothing, temporal smoothing and drift compensation) on fetal left ventricular strain.

METHODS

Left ventricular average longitudinal strain was acquired from the four-chamber view of the fetal heart from 34 fetuses, with 30 fetuses presenting adequate quality. A total of 18 different settings for spatial smoothing, temporal smoothing and drift compensation were examined. At each setting the average strain for the 30 fetuses was calculated, whereby one could examine whether there was an average difference in fetal strain at the different settings. Furthermore, the difference between the highest and lowest strain values across the 18 settings was assessed for each fetus (min-max difference). The average min-max difference was then calculated across the 30 fetuses to calculate the mean discrepancy in fetal strain due to smoothing settings.

RESULTS

The average effect of the smoothing settings as well as drift compensation by them was small. However, when examining the discrepancy induced by the different settings together, they induced average proportional differences of approximately 18% for the endocardial and epicardial layers and 15% for the mid-wall layer.

CONCLUSION

This study shows that while the average effect of different smoothing settings and drift compensation was small, they induced significant discrepancy in strain values on the individual level. We recommend that examiners be consistent with regard to smoothing and drift compensation settings.

Global longitudinal strain in long-term risk prediction after acute coronary syndrome: an investigation of added prognostic value to ejection fraction

AIMS

This study aimed to investigate the additional value of global longitudinal strain (GLS) on top of left ventricular ejection fraction (LVEF) in long-term risk prediction of combined death and heart failure (HF) re-hospitalization after acute coronary syndrome (ACS).

METHOD AND RESULTS

This retrospective study included patients admitted with ACS between 2008 and 2014 from the three participating university hospitals. LVEF and GLS were assessed at a core lab from images acquired during the index hospital stay. Their prognostic value was studied with the Cox proportional hazards model (median follow-up 6.2 years). A nested model comparison was performed with C-statistics. A total of 941 patients qualified for multivariable analysis after multiple imputation of missing baseline covariables. The combined outcome was reached in 17.7% of the cases. Both GLS and LVEF were independent predictors of the combined outcome, hazard ratio (HR) 1.068 (95% CI 1.017-1.121) and HR 0.980 (95% CI 0.962-0.998), respectively. The C-statistic increased from 0.742 (95% CI 0.702-0.783) to 0.749 (95% CI 0.709-0.789) (P = 0.693) when GLS entered the model with clinical data and LVEF.

CONCLUSION

GLS emerged as an independent long-term risk predictor of all-cause death and HF re-hospitalization. However, there was no significant incremental predictive value of GLS when LVEF was already known.

Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients

INTRODUCTION

Global longitudinal strain (GLS) is an important prognostic indicator for predicting heart failure and cancer therapy-related cardiac dysfunction (CTRCD). Although access to GLS measurement has increased across institutions, its actual use in clinical practice remains limited due to practical barriers such as limited time and insufficient training. If reduced GLS could be predicted from conventional echocardiographic parameters, it could help identify patients who would most benefit from direct GLS assessment. Therefore, in this study, we tested the hypothesis that reduced GLS can be predicted from conventional echocardiography via a machine learning (ML) approach.

METHODS

This single-center cross-sectional study included patients who visited the Tokyo Metropolitan Tama Medical Center Hospital and underwent echocardiography with GLS before or after anticancer chemotherapy. Low-GLS was defined as a GLS < 16; otherwise, it was defined as Normal-GLS. Patients with EF < 50% were excluded. We developed ML models that predict Low-GLS from conventional echocardiography measurements. Sixteen ML models were constructed including various boosting and tree-based methods. We assessed the models by the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, Positive predictive value (PPV), Negative predictive value (NPV), and F1 score. The Shapley Additive exPlanations (SHAP) method was employed to evaluate the essential predictors.

RESULTS

A total of 1,484 patients (64 ± 13 years old, 69% female) were enrolled for ML model development, including 406 patients with Low-GLS and 1,078 with Normal-GLS. The best model for the test dataset was the CatBoost classifier (AUC, 0.748; accuracy, 0.734). Diastolic dysfunction indices [such as septal/lateral mitral annular early diastolic velocity (e') and E-wave to atrial contraction filling velocity (E/A)] and peak velocity‑related parameters [aortic valve peak velocity (AV-Vmax) and left ventricular outflow tract velocity maximum (LVOT-Vmax)] played essential roles in the Low-GLS prediction model.

CONCLUSION

This study indicated the possibility that Low-GLS might be predicted by machine learning models from conventional echocardiography measurements in cancer patients.

Prognostic impact of left ventricular strain by feature tracking in acute myocardial infarction treated with PCI: A meta-analysis

PURPOSE

To perform a meta-analysis to evaluate the prognostic value of feature tracking (FT)-derived left ventricular (LV) strain parameters in patients following acute myocardial infarction (AMI).

MATERIALS AND METHODS

We conducted a comprehensive search of PubMed, Embase, and the Cochrane library for studies published between January 2000 and July 2024, evaluating the prognostic value of FT-derived LV strain parameters in predicting major adverse cardiovascular events (MACE) in patients following AMI. We included studies of patients who underwent cardiac magnetic resonance feature tracking analysis following reperfusion by percutaneous coronary intervention (PCI), as well as reporting multivariate analyses of global longitudinal strain (GLS) or global circumferential strain (GCS). Using RStudio, we calculated pooled hazard ratios (HR) with 95 % confidence intervals (CI) using random-effects models and evaluated heterogeneity with I2 statistics.

RESULTS

Nine studies involving 3651 patients were included. Seven studies focused on GLS, while five evaluated GCS in relation to MACE. The meta-analysis revealed a significant association between GLS and MACE occurrence (HR 1.15; 95 % CI: 1.07-1.23; I2 = 76 %; p ≤ 0.0001). For GCS, the pooled HR was 1.11 (95 % CI: 1.04-1.19; I2 = 50 %; p = 0.0024). However, a leave-one-out sensitivity analysis showed that the prognostic effect of GCS was not robust, as the pooled HR adjusted to 1.09 (95 % CI: 1.00-1.19).

CONCLUSION

GLS was identified as a sensitive marker of early myocardial injury with incremental prognostic value, potentially enhancing risk stratification for post-AMI patients. Conversely, GCS did not demonstrate a significant prognostic effect.

Ratio of interventricular septal thickness to global longitudinal strain accurately identifies cardiac amyloidosis

OBJECTIVES

Conventional transthoracic echocardiographic measurements like global longitudinal strain (GLS) have shown promise in distinguishing cardiac amyloidosis (CA), but with limited specificity. We investigated the performance of common echo measurements, GLS, and their combinations in discriminating CA from an undifferentiated cohort with increased left ventricular wall thickness.

METHODS

We conducted a retrospective single-centre case-control study of 876 echos from 232 patients with CA and 1325 echos from 279 patients who underwent pyrophosphate scintigraphy but had CA definitively ruled out. Common echo measurements were collected and additional GLS measurements were performed post hoc. We reported discrimination performance with the area under the receiver operating characteristic curve (AUC) and associated sensitivity, specificity and positive predictive value at the optimal threshold.

RESULTS

We found that the ratio of end-diastolic interventricular septal thickness (IVSd) to GLS had the highest performance in differentiating CA with an AUC of 0.812. At the optimal threshold of >0.15, IVSd/GLS had a sensitivity of 0.70 and specificity of 0.80 for CA. Other measurements and ratios, including the ratio of left ventricular ejection fraction to GLS (AUC 0.682), had lower performance when evaluated against a suspicious control cohort with increased left ventricular wall thickness.

CONCLUSION

If validated in prospective multi-centre studies, the routine measurement of IVSd/GLS can assist with earlier diagnosis of CA, resulting in earlier initiation of treatment in this underserved population.

Early Changes in Left Ventricular Myocardial Mechanics After Transcatheter Aortic Valve Replacement for Severe Aortic Stenosis

Background

Transcatheter aortic valve replacement (TAVR) improves left ventricular (LV) deformation by aortic stenosis (AS). However, the early effects of TAVR on LV mechanics as assessed by echocardiography have not been fully elucidated.

Methods and Results

Between 2021 and 2024, we included 81 patients who underwent transfemoral TAVR for severe AS. We used the natural logarithm of B-type natriuretic peptide (lnBNP) 1 week after TAVR as an indicator of the early effects on LV mechanics. To determine the association with echocardiographic parameters (LV ejection fraction [LVEF], global longitudinal strain [GLS], E/e', and Tei index) and postprocedural lnBNP, we used regression models while adjusting for covariates. There were no significant differences in LVEF, GLS or E/e' between before and after TAVR, but the postprocedural Tei index was significantly higher than the preprocedural Tei index (0.40 vs. 0.26, P<0.01). In a univariate linear regression, the preprocedural LVEF (β=-0.28, P=0.01), GLS (β=-0.24, P=0.04), E/e' (β=0.36, P<0.01), and Tei index (β=0.27, P=0.02) correlated with postprocedural lnBNP. Regarding the postprocedural parameters, GLS (β=-0.27, P=0.02) and E/e' (β=0.36, P<0.01) also correlated with postprocedural lnBNP, but the LVEF and Tei index did not. After adjustment for covariates, these correlations remained significant.

Conclusions

Preprocedural echocardiographic parameters reflecting LV function correlated with BNP after TAVR, but the utility of postprocedural parameters may depend on preprocedural LV function or perioperative factors.

Practical application of multimodality imaging for cardio-oncology in Latin America

Latin America (LA) is one of the regions in the world with the highest levels of overweight, dyslipidemia, and diabetes mellitus, which, together with smoking and high blood pressure, are common risk factors for cardiovascular and oncological diseases. Chemotherapy (CT) and Radiotherapy (RT) have become two of the mainstays of treatment for several types of cancer. One of the most worrisome side effects generated by CT and RT is cardiotoxicity. There are several imaging techniques in cardiology that can inform the presence of underlying disease, but they differ in their availability and access to the masses, their accuracy and repeatability, all of which are important determinants of the applicability of these techniques in routine clinical practice. Thus, it is mandatory to promote a clinically effective and a cost-effective multimodality approach for risk stratification, diagnosis and management of cardiovascular diseases in oncologic patients. The purpose of this review is to inform cardiologists, oncologists, cardio-oncologists and imaging cardiologists on the cardiac imaging modalities that can be applied in patients with cancer, the differences among imaging techniques and recommendations on how to apply them in LA.

PWV to GLS Ratio in the General Population: Reference Values, Correlates, and Predictive Value of a Noninvasive Ventricular-Arterial Index

PURPOSE

Noninvasive imaging markers combining ventricular and arterial properties may help predict cardiac disease. We conducted a general population study to determine reference values, clinical correlates, and the predictive value of the ratio of the carotid-femoral pulse wave velocity (cfPWV) to the left ventricular global longitudinal strain (GLS).

METHODS

We measured cfPWV by applanation tonometry and 4-chamber GLS by echocardiography in 1026 individuals (mean age 50.3 years; 52% women). We derived reference values for cfPWV/GLS from a low-risk subsample. Clinical correlates of cfPWV/GLS were determined by stepwise regression. We calculated multivariable-adjusted hazard ratios (HR) for incident cardiovascular (CV) events (median follow-up: 10.1 years).

RESULTS

Upper limits of normality for cfPWV/GLS varied with sex and age, ranging from 0.41 m/s% in young women up to 0.64 m/s% in older men. Higher cfPWV/GLS correlated directly with male sex, age, heart rate, pulse pressure, mean arterial pressure, and left ventricular mass (p < 0.05 for all). On a continuous scale, only GLS was a significant predictor of CV events after adjustment (HR per 1% decrease: 1.11; p = 0.0078). A cfPWV/GLS ratio above the median (>0.37 m/s%) did predict future CV events after adjustment (HR vs. below median: 2.02; p = 0.0067). However, abnormal cfPWV/GLS defined by reference limits or by cutoffs from literature did not independently predict CV events (p ≥ 0.31 for all).

CONCLUSION

Age- and sex-specific reference values for cfPWV/GLS were reported. cfPWV/GLS related to age, sex, and blood pressure. In contrast to GLS, cfPWV/GLS did not emerge as an independent predictor for CV events in the community.

Prognostic Relevance and Lower Limit of the Reference Range of Left Ventricular Global Longitudinal Strain: A Clinical Validation Study

BACKGROUND

The lower limit of the reference normal range (LLN) of left ventricular global longitudinal strain (GLS) for each ultrasound software vendor and its prognostic relevance in the elderly and in asymptomatic patients at risk for heart failure (HF) remain uncertain.

OBJECTIVES

In this study, the authors sought to validate the LLN of GLS for each ultrasound software vendor and its prognostic relevance in the elderly and in asymptomatic patients at risk for HF.

METHODS

To identify the LLN of GLS with the use of 2-dimensional speckle-tracking transthoracic echocardiography, a meta-analysis of studies including healthy subjects was conducted, followed by a validation study in a large cohort of healthy subjects. To validate the prognostic relevance of the LLN of GLS, 2 validation cohort studies were carried out, including elderly subjects aged ≥80 years and asymptomatic ambulatory patients with preserved left ventricular ejection fraction at risk for HF.

RESULTS

The meta-analysis, which included 47 studies with a total of 23,208 healthy adult subjects, identified the LLN for GLS at 16% (absolute value) across various ultrasound software vendors, including EchoPac, TomTec, and QLab. In the validation cohort study, which included 2,217 healthy adult subjects, a GLS cutoff of 16% was also identified as the LLN. Concerning the prognostic relevance of the LLN of GLS, a value of GLS <16% was significantly associated with HF hospitalization in asymptomatic ambulatory patients at risk for HF (n = 667; OR within 6 years: 5.1 [95% CI: 1.5-17.0]) and in elderly subjects (n = 159; OR within 2 years: 3.1 [95% CI: 1.1-8.8]).

CONCLUSIONS

This clinical validation study provides important clinical data concerning the LLN of GLS (identified and validated at 16%) and its prognostic relevance in the elderly and in asymptomatic ambulatory patients at risk for HF.

Dilated cardiomyopathy evaluation with Imagenomics: combining multimodal cardiovascular imaging and genetics

Dilated cardiomyopathy (DCM) is a clinical diagnosis characterized by the presence of left ventricular dilatation and systolic dysfunction unexplained by abnormal loading conditions or coronary artery disease. However, a broad range of phenotypic manifestations, encompassing isolated scar, DCM with preserved ejection fraction, and overt DCM, should be regarded as a diagnostic classification representing a broad spectrum of underlying aetiologies, including both inherited and acquired heart muscle disorders. A multimodal non-invasive imaging approach is essential for accurate morpho-functional assessment of cardiac chambers and is key to establish the cardiac phenotype and to rule out an underlying ischaemic aetiology. Furthermore, advanced imaging techniques enable deep cardiovascular phenotyping and non-invasive tissue characterization. The aim of this review is to propose a systematic approach to the diagnosis of DCM, emphasizing the importance of genetics and clinical findings for a precise and practical clinical approach. Also, we strive to qualify the role of cardiac imaging in the diagnosis of DCM, particularly on the relevance of novel techniques and clinical utility of actionable parameters to improve current diagnostic schemes and risk stratification algorithms. We further elaborate on the role of cardiac imaging to deliver optimal guidance to aetiology-based therapeutic approaches, verification of treatment response and disease progression monitoring.

Effect of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) on Left Ventricular Mechanics in Patients Without Overt Cardiac Disease: A Systematic Review and Meta-Analysis

Background: Over the last two decades, a fair number of echocardiographic studies have investigated the influence of metabolic dysfunction-associated steatotic liver disease (MASLD) on myocardial strain and strain rate parameters assessed by speckle tracking echocardiography (STE) in individuals without overt heart disease, reporting not univocal results. We aimed at analyzing the main findings of these studies. Methods: All studies examining conventional echoDoppler parameters by transthoracic echocardiography (TTE) and left ventricular (LV) mechanics [LV-global longitudinal strain (GLS), LV-global strain rate in systole (GSRs), in early diastole (GSRe) and late diastole (GSRl)] by STE in MASLD patients without known heart disease vs. healthy individuals, were searched on PubMed, Embase and Scopus databases. The primary endpoint was to quantify the effect of MASLD on LV-GLS in individuals without overt cardiac disease. Continuous data [LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and left ventricular ejection fraction (LVEF)] were pooled as the standardized mean difference (SMD) comparing MASLD cohorts with healthy controls. Results: A total of 11 studies were included, totaling 1348 MASLD patients and 6098 healthy controls. Overall, MASLD showed a medium effect on LV-GLS (SMD -0.6894; 95%CI -0.895, -0.472, p < 0.001) and LV-GLSRs (SMD -0.753; 95%CI -1.501, -0.006, p = 0.048), a large effect on LV-GLSRe (SMD -0.837; 95%CI -1.662, -0.012, p = 0.047) and a small and not statistically significant effect on LV-GLSRl (SMD -0.375; 95%CI -1.113, 0.363, p = 0.319) and LVEF (SMD -0.134; 95%CI -0.285, 0.017, p = 0.083). The overall I2 statistic was 86.4%, 89.4%, 90.9%, 89.6% and 72.5% for LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and LVEF studies, respectively, indicating high between-study heterogeneity. Egger's test for LV-GLS studies gave a p value of 0.11, 0.26, 0.40, 0.32 and 0.42 for LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and LVEF studies, respectively, thus excluding publication bias. Meta-regression analysis excluded any correlation between potential confounders and LV-GLS in MASLD individuals (all p > 0.05). Sensitivity analysis confirmed the robustness of study results. Conclusions: MASLD has a medium effect on LV-GLS, independently of demographics, anthropometrics and the cardiovascular disease burden. STE analysis may allow early detection of subclinical LV systolic dysfunction in MASLD patients, potentially identifying those who may develop heart failure later in life.

Global Longitudinal Strain: A Potential Noninvasive Tool for Early Detection of Radiation-Induced Cardiac Dysfunction in Patients With Lung Cancer Receiving Thoracic Radiation Therapy

PURPOSE

Radiation-induced cardiac dysfunction (RICD) is a competing cause of morbidity and mortality in patients receiving thoracic radiation therapy (RT). Currently, there are no clinically-validated approaches for early detection of RICD at a time point that affords the potential for mitigation. The goal of this study was to evaluate the potential of global longitudinal strain (GLS) derived from standard-of-care echocardiogram (ECHO) for the early detection of RICD and to assess the association between adverse GLS changes and survival in patients receiving thoracic RT.

METHODS AND MATERIALS

A retrospective review of changes in GLS was carried out in patients with primary or secondary lung cancer who received standard-of-care thoracic RT with a mean heart dose of ≥5 Gy and had measurable GLS on ECHOs performed before and after RT. Changes in 2-chamber (2C), 3-chamber (3C), and 4-chamber (4C) GLS and peak average GLS after RT (relative to pre-RT baseline) were quantified. Survival probabilities were estimated in patients with normal versus abnormal GLS.

RESULTS

Thirty-eight patients had measurable GLS before and after RT. Abnormal GLS (defined as <18% or >15% relative decline in GLS after RT from a normal baseline value) was present in 31.6% of patients before RT and 57.9% of patients after RT (P = .012). On paired comparisons, the absolute median reduction (IQR) in 2-chamber, 3-chamber, 4-chamber, and average GLS after RT relative to pre-RT baseline was 1.90 (4.43), 3.00 (3.83), 2.50 (3.63), and 2.25 (3.53), respectively, all P < .001. No statistically significant change in left ventricular ejection fraction was noted after RT. Patients with abnormal GLS after RT had significantly worse survival than those with normal GLS on univariable analysis (P = .049). Despite the small sample size of the study, the survival detriment in patients with abnormal GLS after RT strongly trended toward significance on multivariable analysis (P = .063).

CONCLUSIONS

Adverse changes in GLS are detectable on standard-of-care ECHOs and precede significant changes in left ventricular ejection fraction in this cohort of high-risk patients with primary and secondary lung cancer receiving thoracic RT. Thus, ECHO-derived GLS has the potential to serve as an early and noninvasive marker of RICD in this patient population and may enable early adoption of GLS-guided cardioprotective therapy, which has been shown to mitigate cardiac dysfunction in patients with cancer receiving cardiotoxic treatments.

Influence of Natural Variability and Anatomical Misalignment on the Correlation Between Segmental Myocardial Edema and Strain in Acute Myocarditis

Background: Acute myocarditis (AM) affects myocardial structure and function, assessed by cardiac magnetic resonance late gadolinium enhancement (CMR-LGE) and speckle tracking echocardiography (STE), respectively; however, the correlation between the two techniques at the segmental level is inconsistent. We studied natural heterogeneity and anatomical orientation mismatch as potential causes of correlation discrepancy. Methods: A total of 30 AM patients underwent left ventricle LGE-CMR and STE measurement, acquiring 18 segmental values depicting edema extent and peak longitudinal strain, respectively. Baseline segmental correlation was compared to average patient segmental correlation and to segmental correlation after spatial resolution reduction achieved by averaging adjacent segments in four successive iterations, where the degree of spatial resolution reduction was evaluated based on the relative decrease in segmental standard deviation. Results: Baseline segmental correlation was weak, i.e., r = 0.24 (p < 0.05) but improved in fitted SLGE and SpLS baseline correlation (r0 = 0.44, p < 0.05) and in average patient correlation (r = 0.55, p < 0.05). Iterative spatial resolution reduction increased the correlation to r1 = 0.49 and r2 = 0.51 and then decreased it to r3 = 0.11 (p < 0.05) and r4 = 0.07 (p > 0.05), with corresponding decreases in segmental standard deviation relative to baseline from σ0 = 12.87 to σ/σ0 = 0.68, 0.51, 0.38, and 0.29 in SLGE values and σ0 = 4.77 to σ/σ0 = 0.57, 0.41, 0.31, and 0.23 in SpLS. Conclusions: Improved correlation in average patients is associated with natural heterogeneity, which indicates a need to develop more robust indicators of ventricular function. The improved correlation in moderate spatial resolution reduction indicates a potential solution for anatomic orientation mismatch between CMR-LGE and STE techniques.

Assessment of Left Ventricular Strain Echocardiography in Individuals with Hashimoto's Thyroiditis and Its Association with Serum TIMP-1 Concentration

Background: Hashimoto's thyroiditis (HT), which is an autoimmune condition and the primary cause of hypothyroidism, has numerous impacts on the cardiovascular system. This research aimed to compare TIMP-1 levels and LV strain values in euthyroid HT, hypothyroid HT, and healthy control persons. Materials and Methods: This study included 40 hypothyroid HT patients, 42 HT patients who became euthyroid with thyroid hormone replacement therapy, and 40 healthy controls. All subjects had conventional echocardiography and STE. Global and segmental LV longitudinal strain values (LVGLS) were calculated. Participants' blood was tested for TIMP-1, thyroid function, and anti-TPO. Results: Higher serum TIMP-1 levels were found in euthyroid and hypothyroid HT patients than in the control group. Additionally, patients with euthyroid and hypothyroid HT displayed lower segmental and global LV strain values than the control group. A negative correlation was observed between strain values and TIMP-1 and anti-TPO levels. No significant difference was observed in serum TIMP-1 and strain values between euthyroid and hypothyroid HT patients. Patients with hypothyroid HT exhibited impaired diastolic function and reduced ejection fraction when compared to both euthyroid HT and control groups. However, euthyroid HT patients and the controls had similar diastolic function and ejection fractions. Conclusions: Hashimoto's thyroiditis causes impairment of LV strain, regardless of thyroid hormone levels. Additionally, the condition is associated with elevated TIMP-1 levels. The relationship between LV strain values and anti-TPO levels indicates that the autoimmune component of the disease may be responsible for the impaired LV strain.

Global longitudinal strain as an early marker of cardiac damage after cardiotoxic medications, a state-of-the-art review

Ejection fraction (EF) is the principal parameter used clinically to assess cardiac function and provides prognostic information. However, significant myocardial damage can be present despite preserved EF. Recently, the measurement of left ventricle (LV) deformation by global longitudinal strain (GLS) has been introduced as a novel early marker of cardiac dysfunction. Cardiotoxicity is a frequent side effect of several drugs most notably those used in the treatment of cancer. Although oncology drugs remain the best known cardiotoxic medications, many other drugs can potentially affect LV function. The early recognition of LV dysfunction due to cardiotoxicity is important and of increasing clinical relevance particularly with the rapid pace of development of new drugs. The aim of our review is to provide an overview of the current literature regarding utility of GLS to assess drug-induced myocardial damage. We propose that GLS is a sensitive early marker of myocardial dysfunction associated with the use of certain medications with high risk of cardiotoxicity. Thus, the use of this technique can potentially alert the clinician to myocardial toxicity before reductions in EF are seen.

Myocardial Strain Imaging: Theory, Current Practice, and the Future

Myocardial strain imaging by echocardiography or cardiac magnetic resonance (CMR) is a powerful method to diagnose cardiac disease. Strain imaging provides measures of myocardial shortening, thickening, and lengthening and can be applied to any cardiac chamber. Left ventricular (LV) global longitudinal strain by speckle-tracking echocardiography is the most widely used clinical strain parameter. Several CMR-based modalities are available and are ready to be implemented clinically. Clinical applications of strain include global longitudinal strain as a more sensitive method than ejection fraction for diagnosing mild systolic dysfunction. This applies to patients suspected of having heart failure with normal LV ejection fraction, to early systolic dysfunction in valvular disease, and when monitoring myocardial function during cancer chemotherapy. Segmental LV strain maps provide diagnostic clues in specific cardiomyopathies, when evaluating LV dyssynchrony and ischemic dysfunction. Strain imaging is a promising modality to quantify right ventricular function. Left atrial strain may be used to evaluate LV diastolic function and filling pressure.

Validation of novel predictors for early detection of cancer therapeutics-related cardiac dysfunction

BACKGROUND

Early identification of cardiotoxicity of chemotherapy is crucial. Gene expression is considered a promising tool.

AIM

To validate the new speckle tracking values, high-sensitive (Hs) troponin and expression of TNNI3K and RyR2 genes for early detection of cardiotoxicity.

METHODS

Fifty patients with cancer breast on Anthracycline chemotherapy were subjected to speckle tracking echocardiography and Hs troponin measurement. Relative expression of TNNI3K and RyR2 genes were determined by RT-PCR.

RESULTS

Fifty female patients with age (43.89 ± 6.4) were included. Fourteen patients (28%) developed cardiotoxicity, diagnosed by decrease GLS > 15%. Compared to GLS, Hs-Troponin has sensitivity 73%, specificity 100%, PPV 78.5% and NPV 100%. Cutoff point of GLS > 10% had sensitivity 95%, specificity 78%, PPV 81% and NPV 84%. Using a cutoff of 24% change in TNNI3K Expression; sensitivity 100%, specificity 74%, PPV 79.5% and NPV 100%. Using a cutoff of 25% in RYR-2 expression; sensitivity 67% and specificity 59% with less PPV and NPV (62% and 64%). Adding GLS change >10% to Hs troponin and TNNI3K expression resulted in highest sensitivity (100%) and specificity (95.5%) with 96% PPV and 100% NPV.

CONCLUSION

Cutoff point of GLS > 10%, Hs-Troponin and TNNI3K gene expression are reliable test for early detection of cardiotoxicity.

TRIAL REGISTRATION NUMBER (IRB)

042024100222.

Guidelines for the Echocardiographic Assessment of the Right Heart in Adults and Special Considerations in Pulmonary Hypertension: Recommendations from the American Society of Echocardiography

Right heart adaptation to pulmonary hypertension (PH) is a critical determinant of clinical outcomes, morbidity, and mortality in patients with or at risk for cardiopulmonary disease. The World Symposium on Pulmonary Hypertension recently redefined PH as a mean pulmonary arterial pressure >20 mm Hg, based on a wealth of epidemiologic evidence underscoring the significant impact of even mildly elevated mean pulmonary artery pressures on major adverse clinical events. The lowered diagnostic threshold for PH has renewed interest in echocardiography and its critical role in early detection and screening, refined hemodynamic evaluation, and longitudinal monitoring. However, the systematic assessment of the right heart remains inconsistent, largely due to the predominant focus on left heart evaluation, limited familiarity with right heart ultrasound techniques, and a paucity of reference data defining normal right heart size and function. A systematic, comprehensive ultrasound-based assessment of the right heart offers valuable diagnostic insights for in screening at-risk populations, PH classification, risk stratification, monitoring therapeutic response, and informing prognostication, thereby improving clinical outcomes.

Longitudinal assessment of left ventricular function and remodelling following surgical replacement of aortic valve in young patients with aortic valve dysfunction: a pilot study

Surgical prosthetic aortic valve replacement has been used for the management of aortic valve dysfunction. Studies in adults after aortic valve replacement report decreased left ventricular function in the early post-operative period. We hypothesised that young adults with aortic valve dysfunction who undergo aortic valve replacement may have incomplete recovery of left ventricular systolic function. This was a retrospective single-centre pilot study of patients with surgical aortic valve replacement at our institution over 20 years. Echocardiograms were analysed pre-operatively, at discharge, 1-year, and 5-year follow-up. Left ventricular systolic function was assessed using fractional shortening and ejection fraction. Speckle tracking measurements were performed for four-chamber longitudinal strain and peak systolic circumferential strain. Repeated-measure ANOVA (SPSS Inc.) was used for analysis. A p-value <0.05 was considered significant. Our cohort included 15 subjects (age 19.1 ± 9.0 years, 73% male). Left ventricular mass indexed to body surface area significantly improved (63.5 ± 25.3 pre-operatively to 41.2 ± 13.1 at 5 years, p = 0.009). Left ventricular longitudinal and circumferential strain measures deteriorated in the early post-operative period compared to pre-aortic valve replacement (-18.2 ± 3.4 versus -11.8 ± 3.3, p = 0.00) and (-25.1 ± 5.4 versus -18.9 ± 5.4, p = 0.06). Longitudinal strain continued to be abnormal at the 1- and 5-year follow-up compared to baseline. Children and young adults undergoing aortic valve replacement for aortic valve dysfunction had a decrease in left ventricular systolic function by strain imaging in the early post-operative period and abnormalities persisted on 5-year follow-up.

Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients

Cardiovascular diseases and cancer are the leading causes of morbidity and mortality in modern society. Expanding cancer therapies that have improved prognosis may also be associated with cardiotoxicity, and extended life span after survivorship is associated with the increasing prevalence of cardiovascular disease. As such, the field of cardio-oncology has been rapidly expanding, with an aim to identify cardiotoxicity and cardiac disease early in a patient who is receiving treatment for cancer or is in survivorship. Artificial intelligence is revolutionizing modern medicine with its ability to identify cardiac disease early. This article comprehensively reviews applications of artificial intelligence specifically applied to electrocardiograms, echocardiography, cardiac magnetic resonance imaging, and nuclear imaging to predict cardiac toxicity in the setting of cancer therapies, with a view to reduce early complications and cardiac side effects from cancer therapies such as chemotherapy, radiation therapy, or immunotherapy.

Cardiotoxicity of Anthracyclines

Anthracycline chemotherapy is associated with cardiotoxicity, predominantly manifesting as left ventricular systolic dysfunction within the first year of treatment. Early detection is possible through biomarkers and cardiovascular imaging before clinical symptoms develop. Comprehensive cardiovascular risk assessment is essential for all patients prior to anthracycline therapy to stratify their risk of cardiotoxicity. Preventive measures, including cardiovascular risk optimization, as well as anthracycline dose adjustments, the use of liposomal anthracyclines, and dexrazoxane in high-risk patients, are crucial to mitigate the risk of cardiotoxicity. Long-term follow-up and cardiovascular risk optimization are critical for cancer survivors to optimize cardiovascular outcomes.

Prognostic Value of Echocardiographic Coupling Metrics in Systemic Sclerosis-Associated Pulmonary Vascular Disease

BACKGROUND

Ineffective right ventricular (RV) adaptation to increasing pulmonary arterial (PA) afterload in pulmonary vascular disease (PVD) significantly contributes to morbidity and mortality. Pulmonary vascular disease in systemic sclerosis (SSc) arises through various mechanisms, yet detecting abnormal contractile response remains challenging. Here we examine whether echocardiographic RV-PA coupling metrics correlate with invasive pressure-volume (PV) loops, enhancing the prediction of adverse clinical outcomes in SSc-PVD patients.

METHODS

Prospectively enrolled patients with SSc-PVD with paired echocardiogram and PV loops were included. Linear regression and receiver-operating curve analysis were used to assess the relationship between tricuspid annular plane systolic excursion/PA systolic pressure (PASP), fractional area change/PASP, tissue Doppler velocityS'/PASP, and RV free wall strain (RVFWS)/PASP and coupling thresholds defined by end-systolic to end-arterial elastance (Ees/Ea), obtained by the multibeat method. The contribution of right atrial strain (RAS) to RV-PA coupling parameters was also investigated. Kaplan-Meier analysis was used to identify the relationship between coupling ratios and composite outcomes including clinical worsening, lung transplant, and death.

RESULTS

Forty-two patients with SSc were studied, 91% female, with a mean age of 59 ± 12 years and varying degrees of PVD: mean pulmonary artery pressure 29.5 ± 12.8 mm Hg, PVR 4.7 ± 4.2 WU, and PCWP 10.3 ± 4.1 mm Hg. Echocardiographic coupling metrics including tricuspid annular plane systolic excursion/PASP, fractional area change/PASP, tissue Doppler velocity S'/PASP, RVFWSglobal and RVFWSbasal/PASP, and RASreservoir/PASP were linearly associated with Ees/Ea. At cut points obtained through receiver-operating curve analysis, all ratios were predictive of RV-PA uncoupling, defined by Ees/Ea, and composite outcomes. Additionally, RASreservoir/RVFWS correlated with Ees/Ea even after adjustment for PASP, suggesting that diminished RAS further impacts RV performance and coupling.

CONCLUSION

Echocardiographic RV-PA coupling ratios strongly correlate with invasive Ees/Ea and predict adverse clinical outcomes in SSc patients across the spectrum of PVD. Further, we demonstrate how RAS impacts RV performance. These findings may refine risk stratification and prognostication in this at-risk cohort.

The association between systolic and diastolic dysfunction and autonomic nervous system function in children receiving chronic hemodialysis

BACKGROUND

Changes in cardiac function and structure as well as their association with the cardiac autonomic nervous system remain incompletely characterized in children with stage 5 chronic kidney disease (CKD) receiving hemodialysis (HD).

METHODS

A prospective observational cohort study was conducted on 40 Egyptian children with CKD on regular HD compared to 40 age- and sex-matched healthy children. All participants underwent thorough clinical examination, laboratory investigations, 24-h Holter monitoring, and 2D/4D echocardiographic study (conventional and advanced modalities). Participants were followed for mortality and morbidity over 36 months.

RESULTS

Following HD sessions, CKD children showed significant reductions of left and right ventricular (LV/RV) systolic function by 2D and 4D echocardiography compared to controls. HD children had significant impairment of heart rate variability parameters (evaluated by time and frequency domains). LV/RV global longitudinal shortening (GLS) as well as tricuspid annular plane systolic excursion were closely correlated with different Holter parameters, including frequency domain parameters (including low frequency, high frequency, and LF/HF ratio), time domain parameters including percentage of differences > 50 ms between consecutive normal RR intervals (pNN50), and root-mean-square of the difference between successive normal intervals (rMSSD). Over a follow-up of 34.5 ± 16.8 months, 10 (25%) patients died. Reduced LV/RV-GLS and decreased rMSSD values were independently associated with higher mortality among HD children.

CONCLUSIONS

LV and RV myocardial deformation (either 2D or 4D) primarily decreased in HD children. Altered time and frequency domain indices revealed cardiac autonomic dysfunction, evidenced by increased sympathetic activity and decreased vagal activity. Reduced LV/RV-GLS and decreased rMSSD values were independently associated with higher mortality among HD children.

Echocardiographic Updates in the Assessment of Cardiomyopathy

PURPOSE OF REVIEW

This review aims to provide an updated overview of the role of echocardiography in the assessment of cardiomyopathies, highlighting recent findings and technological advancements.

RECENT FINDINGS

Over the past few years, significant advancements in echocardiographic techniques have improved diagnostic accuracy and provided important prognostic value in the assessment of cardiomyopathies. Cardiomyopathy is a group of diseases affecting the heart muscle. Echocardiography, a non-invasive imaging modality provides crucial information on cardiac structure, function, and hemodynamics. Recent advancements, including strain imaging, speckle-tracking, and 3D echocardiography enhance the precision of structural and functional assessments, while artificial intelligence integration improves diagnostic accuracy and workflow efficiency. These advancements not only refine diagnostic capabilities but also provide prognostic insights and facilitate better patient outcomes.

Assessment of left atrial function using tissue motion annular displacement in healthy dogs

OBJECTIVES

Recently, tissue motion annular displacement by speckle tracking has been shown to be a reliable method for evaluating deformation of the left atrium in healthy dogs. The aim of this study was to investigate whether tissue motion annular displacement is a feasible alternative method for studying left atrial function.

MATERIALS AND METHODS

One hundred healthy dogs were included. Left atrial function was assessed by tissue motion annular displacement, which was correlated to the left atrial strain and biplane area-length method-derived volumes. Left atrial reservoir function was evaluated by left atrial global tissue motion annular displacement, global left atrial strain and left atrial emptying fraction, while left atrial systolic tissue motion annular displacement and left atrial ejection fraction were used to assess left atrial systolic function.

RESULTS

A statistically significant association between body weight and the dependent variables others than age was found. Indexed global and systolic tissue motion annular displacement decreased as body weight increased. Global iTMAD_AIIometric (mm/∛kg) showed a moderate, positive correlation with left atrial emptying fraction and with global left atrial strain. Systolic iTMAD_AIIometric (mm/∛kg) showed a moderate correlation with left atrial ejection fraction. Coefficients of variation for the intraobserver and interobserver analyses were 8.3% and 20.3% for global and 10.5% and 18.9% for systolic tissue motion annular displacement, respectively.

CLINICAL SIGNIFICANCE

Tissue motion annular displacement is a feasible and simple method for the evaluation of left atrial function. Our study documented the effects of body weight on left atrial tissue motion annular displacement, indicating that tissue motion annular displacement must be indexed to body weight. No influence of age or heart rate was observed on tissue motion annular displacement.

International Validation of Echocardiographic AI Amyloid Detection Algorithm

Background

Diagnosis of cardiac amyloidosis (CA) is often missed or delayed due to confusion with other causes of increased left ventricular wall thickness. Conventional transthoracic echocardiographic measurements like global longitudinal strain (GLS) has shown promise in distinguishing CA, but with limited specificity. We conducted a study to investigate the performance of a computer vision detection algorithm in across multiple international sites.

Methods

EchoNet-LVH is a computer vision deep learning algorithm for the detection of cardiac amyloidosis based on parasternal long axis and apical-4-chamber view videos. We conducted a multi-site retrospective case-control study evaluating EchoNet-LVH's ability to distinguish between the echocardiogram studies of CA patients and controls. We reported discrimination performance with area under the receiver operating characteristic curve (AUC) and associated sensitivity, specificity, and positive predictive value at the pre-specified threshold.

Results

EchoNet-LVH had an AUC of 0.896 (95% CI 0.875 - 0.916). At pre-specified model threshold, EchoNet-LVH had a sensitivity of 0.644 (95% CI 0.601 - 0.685), specificity of 0.988 (0.978 - 0.994), positive predictive value of 0.968 (95% CI 0.944 - 0.984), and negative predictive value of 0.828 (95% CI 0.804 - 0.850). There was minimal heterogeneity in performance by site, race, sex, age, BMI, CA subtype, or ultrasound manufacturer.

Conclusion

EchoNet-LVH can assist with earlier and accurate diagnosis of CA. As CA is a rare disease, EchoNet-LVH is highly specific in order to maximize positive predictive value. Further work will assess whether early diagnosis results in earlier initiation of treatment in this underserved population.

Left ventricular myocardial deformation in patients on maintenance haemodialysis

BACKGROUND

Patients with chronic kidney disease (CKD) undergoing maintenance haemodialysis (MHD) develop several abnormalities of left ventricular (LV) structure and function. Speckle-tracking echocardiography permits compressive assessment of LV myocardial deformation. Previous studies involving CKD patients have shown a significant reduction in LV global longitudinal strain (GLS) with strong prognostic implications. However, the other components of LV deformation have not been fully elucidated.

METHODS

A total of 90 CKD patients undergoing MHD (mean age 41.3 ± 12.5 years, 80% men) were compared with 45 apparently healthy age- and gender-matched controls.

RESULTS

The CKD patients had a high prevalence (77.8% patients) of LV hypertrophy. They also had a significantly elevated ratio of early diastolic mitral inflow velocity to annular velocity (12.1 ± 4.6 vs. 7.1 ± 1.5, p < .001) indicating a high prevalence of LV diastolic dysfunction. LV ejection fraction (LVEF) was the same between the two groups, but the CKD patients had significantly impaired LVGLS (-17.8 ± 3.9 vs. -20.8 ± 2.6, p < .001), global circumferential strain (-14.0 ± 3.5 vs. -16.1 ± 3.4, p = .001), LV apical rotation (6.6 ± 4.7° vs. 8.8 ± 4.0°, p = .008) and LV twist (12.8 ± 6.1° vs. 15.0 ± 6.0°, p = .037). There was no difference in the global radial strain between the two groups.

CONCLUSIONS

The present study shows that CKD patients on MHD have significantly impaired LV longitudinal and circumferential mechanics despite preserved LVEF. The prognostic implications of reduced LVGLS have already been demonstrated previously. Future studies are needed to assess the prognostic implications of abnormal LV circumferential mechanics as well as their reversibility following renal transplant.

Accuracy of 2-dimensional speckle tracking echocardiography in diagnosis of coronary artery stenosis in stable angina pectoris

BACKGROUND

It's difficult to detect the severity of coronary artery disease in the patients who have stable angina pectoris. Echocardiography is a well-validated non-invasive diagnostic tool for detecting myocardial ischaemia, but judging wall motion abnormalities is subjective. Conventional echocardiography can assess radial mechanics only, so it cannot assess the sensitive longitudinal mechanics. 2-Dimensional strain echocardiography is a recent tool that has the ability to solve these drawbacks.

AIM OF STUDY

To detect the accuracy of 2D-STE in prediction of significant coronary artery stenosis in the patients with stable angina pectoris.

METHODS

This study included 70 patients who have stable angina pectoris. Conventional and 2D speckle tracking echocardiography were done to all patients then compared with the coronary angiography results. Patients were classified into three groups according to their coronary arteries affection; patients with normal Coronaries, non-obstructed lesion and patients with significant lesion.

RESULTS

Our study results show that the mean GLS was (-18.67 ± 0.93) in normal cases, and it was (-15.82 ± 1.11) in non-obstructed lesions but GLS was (-13.19 ± 1.7) in patients with significant CAD. And the best cut-off point of GLS was reported as (-17.35%) with a sensitivity of 97.6% and specificity of 93.3%. Also we found that SLS results in significant lesions of LAD, LCX, RCA territory was (-16.3%, -15.95%, -17.45%) with sensitivity and specificity (87.8%, 93.3%), (70.7%, 93.3%), (82.9%, 93.3%) respectively.

CONCLUSION

Global longitudinal strain has a good diagnostic significance over visual evaluation during conventional echocardiogram in predicting significant stenosis of the coronary arteries in patients with stable coronary artery disease. Segmental Longitudinal strain is also a sensitive tool to detect the affected Coronary Territory.

SimLVSeg: Simplifying Left Ventricular Segmentation in 2-D+Time Echocardiograms With Self- and Weakly Supervised Learning

OBJECTIVE

Achieving reliable automatic left ventricle (LV) segmentation from echocardiograms is challenging due to the inherent sparsity of annotations in the dataset, as clinicians typically only annotate two specific frames for diagnostic purposes. Here we aim to address this challenge by introducing simplified LV segmentation (SimLVSeg), a novel paradigm that enables video-based networks for consistent LV segmentation from sparsely annotated echocardiogram videos.

METHODS

SimLVSeg consists of two training stages: (i) self-supervised pre-training with temporal masking, which involves pre-training a video segmentation network by capturing the cyclic patterns of echocardiograms from largely unannotated echocardiogram frames, and (ii) weakly supervised learning tailored for LV segmentation from sparse annotations.

RESULTS

We extensively evaluated SimLVSeg using EchoNet-Dynamic, the largest echocardiography dataset. SimLVSeg outperformed state-of-the-art solutions by achieving a 93.32% (95% confidence interval: 93.21-93.43%) dice score while being more efficient. We further conducted an out-of-distribution test to showcase SimLVSeg's generalizability on distribution shifts (CAM US dataset).

CONCLUSION

Our findings show that SimLVSeg exhibits excellent performance on LV segmentation with a relatively cheaper computational cost. This suggests that adopting video-based networks for LV segmentation is a promising research direction to achieve reliable LV segmentation. Our code is publicly available at https://github.com/BioMedIA-MBZUAI/SimLVSeg.

ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction

Heart disease is the leading cause of death worldwide, and cardiac function as measured by ejection fraction (EF) is an important determinant of outcomes, making accurate measurement a critical parameter in PT evaluation. Echocardiograms are commonly used for measuring EF, but human interpretation has limitations in terms of intra- and inter-observer (or reader) variance. Deep learning (DL) has driven a resurgence in machine learning, leading to advancements in medical applications. We introduce the ViViEchoformer DL approach, which uses a video vision transformer to directly regress the left ventricular function (LVEF) from echocardiogram videos. The study used a dataset of 10,030 apical-4-chamber echocardiography videos from patients at Stanford University Hospital. The model accurately captures spatial information and preserves inter-frame relationships by extracting spatiotemporal tokens from video input, allowing for accurate, fully automatic EF predictions that aid human assessment and analysis. The ViViEchoformer's prediction of ejection fraction has a mean absolute error of 6.14%, a root mean squared error of 8.4%, a mean squared log error of 0.04, and anR 2 of 0.55. ViViEchoformer predicted heart failure with reduced ejection fraction (HFrEF) with an area under the curve of 0.83 and a classification accuracy of 87 using a standard threshold of less than 50% ejection fraction. Our video-based method provides precise left ventricular function quantification, offering a reliable alternative to human evaluation and establishing a fundamental basis for echocardiogram interpretation.

Cardiac Magnetic Resonance Imaging in the Evaluation of Functional Impairments in the Right Heart

Cardiac magnetic resonance (cMRI) imaging has recently become essential in cardiology. cMRI is widely recognized as the most reliable imaging technique for assessing the size and performance of the right ventricle. It allows for objective and functional cardiac tissue evaluations. Early in disease progression, cardiac structure and activity decrease subclinically. Late-phase clinically visible signs have been associated with less favourable outcomes. Subclinical alterations ought to be recognized for rapid evaluations and accurate treatment. An increasing amount of evidence supports cMRI deformation parameter quantification. Strain imaging enables cardiologists to assess heart function beyond traditional measurements. Prognostic information for cardiovascular disease patients is obtained through the right ventricle (RV) strain, including information primarily about the left ventricle (LV). Right atrial (RA) function evaluations using RA strain have been promising in recent studies. Therefore, this narrative review aims to present an overview of the data that are currently available for assessing right myocardial strain and biomechanics using cMRI.

AI derived ECG global longitudinal strain compared to echocardiographic measurements

Left ventricular (LV) global longitudinal strain (LVGLS) is versatile; however, it is difficult to obtain. We evaluated the potential of an artificial intelligence (AI)-generated electrocardiography score for LVGLS estimation (ECG-GLS score) to diagnose LV systolic dysfunction and predict prognosis of patients with heart failure (HF). A convolutional neural network-based deep-learning algorithm was trained to estimate the echocardiography-derived GLS (LVGLS). ECG-GLS score performance was evaluated using data from an acute HF registry at another tertiary hospital (n = 1186). In the validation cohort, the ECG-GLS score could identify patients with impaired LVGLS (≤ 12%) (area under the receiver-operating characteristic curve [AUROC], 0.82; sensitivity, 85%; specificity, 59%). The performance of ECG-GLS in identifying patients with an LV ejection fraction (LVEF) < 40% (AUROC, 0.85) was comparable to that of LVGLS (AUROC, 0.83) (p = 0.08). Five-year outcomes (all-cause death; composite of all-cause death and hospitalization for HF) occurred significantly more frequently in patients with low ECG-GLS scores. Low ECG-GLS score was a significant risk factor for these outcomes after adjustment for other clinical risk factors and LVEF. The ECG-GLS score demonstrated a meaningful correlation with the LVGLS and is effective in risk stratification for long-term prognosis after acute HF, possibly acting as a practical alternative to the LVGLS.

Comparison of Left Ventricular Global Longitudinal Strain and Left Ventricular Ejection Fraction in Acute Respiratory Failure Patients Requiring Invasive Mechanical Ventilation

Left ventricular (LV) dysfunction is associated with poor clinical outcomes in acute respiratory failure (ARF). This study evaluates the efficacy of LV strain in detecting LV dysfunction in ARF patients requiring invasive mechanical ventilation (IMV) compared to conventionally measured left ventricular ejection fraction (LVEF). ARF patients requiring IMV who had echocardiography performed during MICU admission were included. LV global longitudinal strain (LVGLS) and LVEF were measured retrospectively using speckle tracking (STE) and traditional transthoracic echocardiography (TTE), respectively, by investigators blinded to the status of IMV and clinical data. The cohort was divided into three groups: TTE during IMV (TTE-IMV), before IMV (TTE-bIMV), and after IMV (TTE-aIMV). Multivariable regression models, adjusted for illness severity score, chronic cardiac disease, acute respiratory failure etiology, body mass index, chronic obstructive pulmonary disease, and obstructive sleep apnea, evaluated associations between LV function parameters and the presence of IMV. Among 376 patients, TTE-IMV, TTE-bIMV, and TTE-aIMV groups constituted 223, 68, and 85 patients, respectively. The median age was 65 years (IQR: 56-74), with 53.2% male participants. Adjusted models showed significantly higher LVGLS in groups not on IMV at the time of TTE (TTE-bIMV: β = 4.19, 95% CI 2.31 to 6.08, p < 0.001; TTE-aIMV: β = 3.79, 95% CI 2.03 to 5.55, p < 0.001), while no significant differences in LVEF were observed across groups. In a subgroup analysis of patients with LVEF ≥55%, the significant difference in LVGLS among the groups remained (TTE-bIMV: β = 4.18, 95% CI 2.22 to 6.15, p < 0.001; TTE-aIMV: β = 3.45, 95% CI 1.50 to 5.40, p < 0.001), but was no longer present in those with LVEF < 55%. This suggests an association between IMV and lower LVGLS in ARF patients requiring IMV, indicating that LVGLS may be a more sensitive marker for detecting subclinical LV dysfunction compared to LVEF in this population. Future studies should track and assess serial echocardiography data in the same cohort of patients pre-, during, and post-IMV in order to validate these findings and prognosticate STE-detected LV dysfunction in ARF patients requiring IMV.

Enhanced Extraction of Activation Time and Contractility From Myocardial Strain Data Using Parameter Space Features and Computational Simulations

A computational model enables the extraction of two critical myocardial tissue properties: activation time (AT) and contractility (Con) from recorded cardiac strains. However, interference between these parameters reduces the precision and accuracy of the extraction process. This study investigates whether leveraging features in the parameter space can enhance parameter extraction. We utilized a computational model to simulate sarcomere mechanics, creating a parameter space grid of 41 × 41 AT and Con pairs. Each pair generated a simulated strain pattern, and by scanning the grid, we identified cohorts of similar strain patterns for each simulation. These cohorts were represented as binary images-synthetic fingerprints-where the position and shape of each blob indicated extraction uniqueness. We also generated a measurement fingerprint for a strain pattern from a patient with left bundle branch block and compared it to the synthetic fingerprints to calculate a proximity map based on their similarity. This approach allowed us to extract AT and Con using both the measurement fingerprint and the proximity map, corresponding to simple optimization and enhanced parameter extraction methods, respectively. Each synthetic fingerprint consisted of a single connected blob whose size and shape varied characteristically within the parameter space. The AT values extracted from the measurement fingerprint and the proximity map ranged from -59 to 19 ms and from -16 to 14 ms, respectively, while Con values ranged from 48% to 110% and from 85% to 110%, respectively. This study demonstrates that similarity in simulations leads to an asymmetric distribution of parameter values in the parameter space. By using a proximity map, this distortion is considered, significantly improving the accuracy of parameter extraction.

Left Ventricular Segmentation, Warping, and Myocardial Registration for Automated Strain Measurement

The left ventricular global longitudinal strain (LVGLS) is a crucial prognostic indicator. However, inconsistencies in measurements due to the speckle tracking algorithm and manual adjustments have hindered its standardization and democratization. To solve this issue, we proposed a fully automated strain measurement by artificial intelligence-assisted LV segmentation contours. The LV segmentation model was trained from echocardiograms of 368 adults (11,125 frames). We compared the registration-like effects of dynamic time warping (DTW) with speckle tracking on a synthetic echocardiographic dataset in experiment-1. In experiment-2, we enrolled 80 patients to compare the DTW method with commercially available software. In experiment-3, we combined the segmentation model and DTW method to create the artificial intelligence (AI)-DTW method, which was then tested on 40 patients with general LV morphology, 20 with dilated cardiomyopathy (DCMP), and 20 with transthyretin-associated cardiac amyloidosis (ATTR-CA), 20 with severe aortic stenosis (AS), and 20 with severe mitral regurgitation (MR). Experiments-1 and -2 revealed that the DTW method is consistent with dedicated software. In experiment-3, the AI-DTW strain method showed comparable results for general LV morphology (bias - 0.137 ± 0.398%), DCMP (- 0.397 ± 0.607%), ATTR-CA (0.095 ± 0.581%), AS (0.334 ± 0.358%), and MR (0.237 ± 0.490%). Moreover, the strain curves showed a high correlation in their characteristics, with R-squared values of 0.8879-0.9452 for those LV morphology in experiment-3. Measuring LVGLS through dynamic warping of segmentation contour is a feasible method compared to traditional tracking techniques. This approach has the potential to decrease the need for manual demarcation and make LVGLS measurements more efficient and user-friendly for daily practice.

The role of artificial intelligence in standardizing global longitudinal strain measurements in echocardiography

Aims

To evaluate the accuracy and feasibility of artificial intelligence (AI) in left ventricular global longitudinal strain (GLS) analysis as compared to conventional (Manual) and semi-automated (SemiAuto) method in echocardiography (Echo).

Methods and results

GLS validation was performed on 550 standard Echo exams by expert cardiologists. The performance of a beginner cardiologist without experience of GLS analysis was assessed on a subset of 90 exams. The AI employs fully automated view selection, classification, endocardial border tracing, and calculation of GLS from an entire Echo exam, while SemiAuto requires manual chamber view selection, and Manual involves full user input. Interobserver agreement was assessed using the intraclass correlation coefficient (ICC) for all three methods. Agreement of measures included Pearson's correlation (R) and Bland-Altman analysis [median bias; limits of agreement (LOA)]. With an 89% feasibility the AI showed good agreement with Manual (R = 0.92, bias = 0.7% and LOA: -3.5 to 4.8%) and with SemiAuto (r = 0.90, bias = 0.10% and LOA: -4.5 to 4%). ICCs for GLS were 1.0 for AI, 0.93 for SemiAuto, and 0.80 for Manual. After the 55th analysis, the beginner showed stable time performance with Manual (171 s), contrasting with the consistent performance of SemiAuto (85-69 s) from the beginning. The highest agreement between beginner and expert readers was achieved with AI (R = 1.00), followed by SemiAuto (R = 0.85) and Manual (R = 0.74).

Conclusion

Automated GLS analysis enhances efficiency and accuracy in cardiac diagnostics, particularly for novice users. Integration of automated solutions into routine clinical practice could yield more standardized results.

Right ventricular dyssynchrony predicts outcome in pulmonary arterial hypertension when assessed in multiple cardiac magnetic resonance views

BACKGROUND

Right ventricular (RV) dyssynchrony or post systolic contraction (PSC) causes inefficient pumping and has not been investigated as a prognostic marker in pulmonary arterial hypertension (PAH). The objective was to investigate if RV dyssynchrony and PSC are prognostic markers of transplantation-free survival in PAH and if multiple RV views improve prognostication.

METHODS

Patients with PAH undergoing cardiovascular magnetic resonance between 2003 and 2021 were included. For strain analysis, endocardial end-diastolic RV contours were delineated in RV three-chamber (RV3ch), four-chamber (4ch), and midventricular short-axis (SAX) slice. RV dyssynchrony was defined as the standard deviation of time to peak strain in the walls from one (4ch), two (4ch and SAX), or three views (4ch, SAX, and RV3ch). PSC was defined as peak strain occurring after pulmonary valve closure. Outcome was defined as death or lung transplantation.

RESULTS

One hundred and one patients (58 ± 19 years, 66% (67/101) women) were included. Median follow-up was 37 [51] months. There were 60 events (55 deaths and 5 lung transplantations). Outcome was associated with RV dyssynchrony from three views and with RV strain in 4ch. An increase in RV dyssynchrony-in three views-by 1% was associated with a 10% increased risk of lung transplantation or death. There was no association between outcome and RV dyssynchrony in one or two views nor with PSC.

CONCLUSION

RV dyssynchrony in three views was associated with outcome in PAH, whereas assessing dyssynchrony from one or two views and PSC was not. This implies that assessment of multiple instead of single RV views could potentially be used for prognostication in PAH.

Regional impairment of left ventricular longitudinal strain in aortic regurgitation

BACKGROUND

Aortic regurgitation (AR) has an important impact on myocardial mechanics and recent studies have proved the value of global longitudinal strain (GLS) in the assessment of its severity and prognosis. Our purpose was to assess if the direct impact of the regurgitant jet on the myocardial wall could affect regional longitudinal strain.

METHODS

Eighty patients with chronic moderate/severe AR were retrospectively studied. Patients were considered to have a jet-related longitudinal strain reduction when the myocardial segments directly impacted by the jet had their longitudinal strain reduced by at least 30% compared to nonaffected segments. AR severity, left ventricular (LV) size and function were compared according to the presence/absence of this regional pattern. For those who underwent surgery, postoperative regional and global LV function was also analyzed.

RESULTS

A pattern of regional longitudinal strain impairment was identified in 43% of patients, with a regional reduction (in median) of 10 percentage points in absolute strain values in the segments impacted by the jet, compared to nonaffected segments. In the subgroup who underwent surgery, this pattern became attenuated after surgery. Patients with regional longitudinal strain impairment were less likely to improve GLS after surgery (10% vs. 38% improved GLS by at least 2.5%, P = 0.049).

CONCLUSIONS

To our knowledge, this study identifies for the first time, a link between the location of the impact of the regurgitant jet in AR and regional longitudinal strain impairment. The presence of this regional pattern might be associated with worse postoperative LV recovery.

Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy

Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based GLS might overcome these challenges. Our aims are to explore the agreements between AI-based GLS and conventional GLS, and to assess whether the agreements were influenced by expertise levels, cardiac remodeling and cardiovascular diseases/risks. Echocardiographic images in the apical four-chamber view of left ventricle were retrospectively analyzed based on AI-based GLS in patients treated with chemotherapy, and correlation between AI-based GLS (Caas Qardia, Pie Medical Imaging) and conventional GLS (Vivid E9/VividE95, GE Healthcare) were assessed. The agreement between unexperienced physicians ("GLS beginner") and experienced echocardiographer were also assessed. Among 94 patients (mean age 69 ± 12 years, 73% female), mean left ventricular ejection fraction was 64 ± 6%, 14% of patients had left ventricular hypertrophy, and 21% had left atrial enlargement. Mean GLS was - 15.9 ± 3.4% and - 19.0 ± 3.7% for the AI and conventional method, respectively. There was a moderate correlation between these methods (rho = 0.74; p < 0.01), and bias was - 3.1% (95% limits of agreement: -8.1 to 2.0). The reproducibility between GLS beginner and an experienced echocardiographer was numerically better in the AI method than the conventional method (inter-observer agreement = 0.82 vs. 0.68). The agreements were consistent across abnormal cardiac structure and function categories (p-for-interaction > 0.10). In patients treated with chemotherapy. AI-based GLS was moderately correlated with conventional GLS and provided a numerically better reproducibility compared with conventional GLS, regardless of different levels of expertise.

Quantification of left ventricular myocardial strain: Comparison between MRI tagging, MRI feature tracking, and ultrasound speckle tracking

Ultrasound speckle tracking is frequently used to quantify myocardial strain, and magnetic resonance imaging (MRI) feature tracking is rapidly gaining interest. Our aim is to validate cardiac MRI feature tracking by comparing it with the gold standard method (i.e., MRI tagging) in healthy subjects and patients. Furthermore, we aim to perform an indirect validation by comparing ultrasound speckle tracking with MRI feature tracking. Forty-two subjects (17 formerly preeclamptic women, three healthy women, and 22 left bundle branch block patients of both sexes) received 3-T cardiac MRI and echocardiography. Cine and tagged MRI, and B-mode ultrasound images, were acquired. Intrapatient global and segmental left ventricular circumferential (MRI tagging vs. MRI feature tracking) and longitudinal (MRI feature tracking vs. ultrasound speckle tracking) peak strain and time to peak strain were compared between the three techniques. Intraclass correlation coefficient (ICC) (< 0.50 = poor, 0.50-0.75 = moderate, > 0.75-0.90 = good, > 0.90 = excellent) and Bland-Altman analysis were used to assess correlation and bias; p less than 0.05 indicates a significant ICC or bias. Global peak strain parameters showed moderate-to-good correlations between methods (ICC = 0.71-0.83, p < 0.01) with no significant biases. Global time to peak strain parameters showed moderate-to-good correlations (ICC = 0.56-0.82, p < 0.01) with no significant biases. Segmental peak strains showed significant biases in all parameters and moderate-to-good correlation (ICC = 0.62-0.77, p < 0.01), except for lateral longitudinal peak strain (ICC = 0.23, p = 0.22). Segmental time to peak strain parameters showed moderate-to-good correlation (ICC = 0.58-0.74, p < 0.01) with no significant biases. MRI feature tracking is a valid method to examine myocardial strain, but there is bias in absolute segmental strain values between imaging techniques. MRI feature tracking shows adequate comparability with ultrasound speckle tracking.

Modern Instrumental Methods of Diagnostics and Risk Assessment of Developing Antitumor Therapy Cardiovasculotoxicity

The most important component of cardio-oncology is the assessment of the risk of development and diagnosis of cardiovascular toxicity of the antitumor therapy, the detection of which is largely based on visualization of the cardiovascular system. The article addresses up-to-date methods of non-invasive visualization of the heart and blood vessels, according to the 2022 European Society of Cardiology Clinical Guidelines on cardio-oncology. Also, the article discusses promising cardiovascular imaging techniques that are not yet included in the guidelines: assessment of coronary calcium using multislice computed tomography and positron emission computed tomography with 18F-labeled 2-deoxy-2-fluoro-d-glucose.

Clinical, electrocardiographic, echocardiographic, and angiographic predictors for the final infarct size assessed by cardiac magnetic resonance in acute STEMI patients after primary percutaneous coronary intervention

BACKGROUND

Final infarct size (IS) after ST segment elevation myocardial infarction (STEMI) is a major predictor of mortality. Seeking early predictors for final IS can guide individualized therapeutic strategies for those recognized to be at higher risk.

RESULTS

Eighty STEMI patients successfully treated with primary percutaneous coronary intervention (pPCI) underwent baseline (within 48 h) 2D, 3D echocardiography with speckle tracking and then underwent cardiac magnetic resonance (CMR) at 3 months to assess the final IS. After recruitment, 4 patients were excluded for uncontainable claustrophobia while 76 patients completed the final analysis. The mean ± standard deviation age was 54.1 ± 10.9 years, 84% were males, 25% had diabetes, 26% were hypertensives, 71% were current smokers, 82% had dyslipidemia, and 18% had a family history of premature coronary artery disease. By 3 months, CMR was performed to accurately evaluate the final IS. In univariate regression analysis, the admission heart rate, baseline and post-pPCI ST elevation, STEMI location (anterior vs. inferior), highest peri-procedural troponin, large thrombus burden, baseline thrombolysis in myocardial infarction flow grade, the final myocardial blush grade, the 2D and 3D left ventricular ejection fraction (LVEF), and the 2D and 3D global longitudinal strain (GLS) parameters were significant predictors for the final IS. In the multivariate regression analysis, four models were constructed and recognized the residual post-PCI ST segment elevation, the highest peri-procedural troponin, the 2D-LVEF, 3D-LVEF, and 2D-GLS as significant independent predictors for final IS.

CONCLUSIONS

In STEMI patients who underwent successful pPCI, early predictors for the final IS are vital to guide therapeutic decisions. The residual post-pPCI ST elevation, the highest peri-procedural troponin, and the baseline 2D-LVEF, 3D-LVEF, and 2D-GLS can be excellent and timely tools to predict the final IS.

Reproducibility Analysis of Two Speckle Tracking Software for the Antenatal Semiautomated Assessment of the Fetal Cardiac Function

INTRODUCTION

Speckle tracking echocardiography is a non-Doppler modality allowing the semiautomated evaluation of the fetal cardiac function by tracking the speckles of the endocardial borders. Little evidence is available on the evaluation and comparison of different software for the functional assessment of the fetal heart by means of speckle tracking echocardiography. The aim of this study was to evaluate the reproducibility and agreement of two different proprietary speckle tracking software for the prenatal semiautomated assessment of the fetal cardiac function.

METHODS

The prospective study including non-anomalous fetuses was referred for different indications at two tertiary academic units in Italy (University of Parma) and Spain (University of Barcelona). Two-dimensional clips of the four-chamber view of the fetal heart were acquired by two dedicated operators using high-end ultrasound machines with a frame rate higher than 60 Hz. The stored clips were pseudo-anonymized and shared between the collaborating units. Functional echocardiographic analyses were independently performed using the two proprietary software (TomTec GmbH and FetalHQ®) by the same operators. Inter-software reproducibility of the endocardial global longitudinal strain (EndoGLS) and fractional area change (FAC) of the left (LV) and the right ventricles (RV) and ejection fraction (EF) of the LV were evaluated by the intraclass correlation coefficient (ICC).

RESULTS

Forty-eight fetuses were included at a median of 31+2 (21+6-40+3) gestational weeks. Moderate reproducibility was found for the functional parameters of the LV: EndoGLS (Pearson's correlation 0.456, p < 0.01; ICC 0.446, 95% CI: 0.189-0.647, p < 0.01); EF (Pearson's correlation 0.435, p < 0.01; ICC 0.419, 95% CI: 0.156-0.627, p < 0.01); FAC (Person's correlation 0.484, p < 0.01; ICC 0.475, 95% CI: 0.223-0.667, p < 0.01). On the contrary, RV functional parameters showed poor reproducibility between the two software: EndoGLS (Pearson's correlation 0.383, p = 0.01; ICC 0.377, 95% CI: 0.107-0.596, p < 0.01) and FAC (ICC 0.284, 95% CI: 0.003-0.524, p = 0.02).

CONCLUSION

Our results demonstrate a moderate reproducibility of the speckle tracking analysis of the LV using TomTec GmbH and FetalHQ®, with poor reproducibility for RV analysis.

Long-term global longitudinal strain abnormalities in paediatric patients after multisystem inflammatory syndrome in children correlate with cardiac troponin T: a single-centre cohort study

BACKGROUND

Multisystem inflammatory syndrome in children is an inflammatory syndrome related to severe acute respiratory syndrome coronavirus 2 with a high risk of cardiovascular complications (vasoplegia, cardiac shock). We investigated the cardiac outcomes in multisystem inflammatory syndrome in children, focusing on the identification of predictors for late cardiac function impairment.

METHODS

Clinical characteristics, conventional echocardiography (left ventricle ejection fraction, fractional shortening), 4-chamber left ventricular global longitudinal strain, and cardiac MRI of multisystem inflammatory syndrome in children patients (n = 48) were collected during admission, 6 weeks, 6 months, >12-≤18 months, and >18-≤24 months post-onset. Paired over-time patterns were assessed and multivariable regression analyses were performed to identify predictors for late global longitudinal strain impairment.

RESULTS

In total, 81.3% of patients had acute cardiac dysfunction (left ventricle ejection fraction <50% and/or fractional shortening <28%). The left ventricle ejection fraction and fractional shortening reached a plateau level ≤6 weeks, while the global longitudinal strain continued to decrease in the first 6 months post-onset (median -17.3%, P < 0.001 [versus acute]). At 6 months, 35.7% of the patients still had an abnormal global longitudinal strain, which persisted in 5/9 patients that underwent echocardiography >12-≤18 months post-onset and in 3/3 patients >18-≤24 months post-onset. In a multivariable analysis, soluble troponin T (>62.0 ng/L [median]) was associated with reduced global longitudinal strain at 6 months. Our cardiac MRI findings indicated acute myocardial involvement (increased T1/T2 value) in 77.8% (7/9), which recovered quickly without signs of fibrosis on convalescent cardiac MRIs.

CONCLUSIONS

Late global longitudinal strain impairment is seen in some multisystem inflammatory syndrome in children patients up to one-year post-onset. Careful cardiac follow-up in patients with elevated troponin in the acute phase and patients with persistent abnormal global longitudinal strain is warranted until resolution of the global longitudinal strain since the long-term implications of such abnormalities are still unclear.

Left ventricular global longitudinal strain is worse in BRCA mutation positive breast cancer patients prior to cancer treatment and premature menopause

PURPOSE

Breast cancer patients with mutations in human tumor suppressor genes BRCA1 and BRCA2 are at higher risk of cardiovascular disease (CVD) than the general population, as they are frequently exposed to cardiotoxic chemotherapy, anti-estrogen therapy, radiation, and/or oophorectomy for cancer-related treatment and prophylaxis. Animal and cell culture models suggest that BRCA mutations may play an independent role in heart failure. We sought to evaluate cardiac structure and function in female BRCA1 and BRCA2 mutation carriers with breast cancer compared to BRCA wildtype women with breast cancer.

METHODS

We performed a 1:2 age- and hypertension-matched retrospective cohort study comparing BRCA1 and BRCA2 mutation carriers (n = 38) versus BRCA wildtype controls (n = 76) with a new diagnosis of breast cancer. Echocardiographic data were obtained within 6 months of breast cancer diagnosis and prior to chemotherapy, anti-estrogen therapy, radiation, or oophorectomy. Left ventricular global longitudinal strain (LV-GLS), a highly sensitive marker of LV function, was measured using QLab 15 (Philips Healthcare).

RESULTS

In the total cohort of 114 patients with a new diagnosis of breast cancer, the median age was 45 ± 11 years and the prevalence of hypertension was 8%. There were no differences in traditional cardiovascular disease risk factors between cases and controls. BRCA carriers had lower LV-GLS (- 18.1% ± 4.7% vs. - 20.1% ± 3.8%, p = 0.02) and greater right atrial area (12.9 cm2 ± 2.7 cm2 vs. 11.8 cm2 ± 2.0 cm2, p = 0.04) compared to controls; however, both LV-GLS and right atrial area were within the normal range. Compared to controls, BRCA carriers had a trend toward worse LV posterior wall thickness (0.89 cm ± 0.15 cm vs. 0.83 cm ± 0.16 cm, p = 0.06) although not statistically significant.

CONCLUSION

In women with newly diagnosed breast cancer and prior to treatment, LV-GLS was worse in BRCA1 and BRCA2 mutation carriers compared to those with BRCA wildtype. These findings suggest that BRCA mutations may be associated with subtle changes in cardiac function. Whether differences in GLS translate to increased cardiovascular risk in women with BRCA mutations needs to be further characterized.

Unified adult transthoracic echocardiographic report: an expert consensus document of the Egyptian Working Group of Echocardiography

BACKGROUND

Physicians face complexity in interpreting the results of echocardiography (ECHO) due to the variability across ECHO laboratories. Many international organizations published reports to reduce the inter-variability in ECHO reporting. However, with the evolution of imaging modalities, significant improvements in ECHO reporting are essential to eliminate any previous discrepancies. The Egyptian Working Group of Echocardiography (EEWG) aimed to prepare a standardized, updated, simple, and comprehensive ECHO reporting in Egypt to offer consistency, guarantee that all the crucial features are fulfilled, and ease practitioners' communication to maximize clinical decision-making.

MAIN TEXT

Relevant articles were retrieved and reviewed to explore the current state of TTE reporting practices, existing guidelines, and challenges faced by physicians in interpreting TTE results. Identified gaps and areas for improvement were then employed to establish the outline for the standardization approach. This report addresses crucial components such as demographic data, measurements, and interpretative summaries. It emphasizes left ventricle measurements and systolic function assessment, incorporating advanced techniques like speckle tracking and three-dimensional imaging. The significance of evaluating diastolic function, examining the right ventricle, and assessing valves, pericardium, and aorta are also discussed.

CONCLUSION

The current consensus goals to streamline communication among practitioners contribute to a more unified approach to interpreting ECHO results. Our initiative marks a significant step forward in enhancing the standardization and quality of ECHO reporting in Egypt. By introducing this report and encouraging continuous learning, the working group aims to raise the overall reporting quality and facilitate interpretation across diverse echocardiographic settings. This concerted effort improves patient care by ensuring consistency, accuracy, and relevance in interpreting echocardiographic findings.

Use of Speckle-Tracking Echocardiography in Septic Cardiomyopathy in Critically Ill Children: A Narrative Review

OBJECTIVES

In critically ill children with severe sepsis, septic cardiomyopathy (SCM) denotes the subset of patients who have myocardial dysfunction with poor response to fluid and inotropic support, and higher mortality risk. The objective of this review was to evaluate the role of speckle-tracking echocardiography (STE) in the diagnosis and prognosis of pediatric SCM in the PICU setting.

DATA SOURCES

We performed detailed searches using PubMed, Scopus, Web of Science, and Google Scholar. Reference lists of all included studies were also examined for further identification of potentially relevant studies.

STUDY SELECTION

Studies with the following medical subject headings and keywords were selected: speckle-tracking echocardiography, strain imaging, global longitudinal strain, echocardiography, sepsis, severe sepsis, septic shock, septic cardiomyopathy, and myocardial dysfunction.

DATA EXTRACTION

The following data were extracted from all included studies: demographics, diagnoses, echocardiographic parameters, severity of illness, PICU management, and outcomes.

DATA SYNTHESIS

STE is a relatively new echocardiographic technique that directly quantifies myocardial contractility. It has high sensitivity in diagnosing SCM, correlates well with illness severity, and has good prognosticating value as compared with conventional echocardiographic parameters. Further studies are required to establish its role in evaluating biventricular systolic and diastolic dysfunction, and to investigate whether it has a role in individualizing treatment and improving treatment outcomes in this group of patients.

CONCLUSIONS

STE is a useful adjunct to conventional measures of cardiac function on 2D-echocardiography in the assessment of pediatric SCM in the PICU.

Prognostic relevance of global work index and global constructive work in patients with non-ischemic dilated cardiomyopathy

Myocardial work (MW) derived from pressure-strain loops is a novel non-invasive tool to assess left ventricular (LV) function, incorporating global longitudinal strain (GLS) by speckle tracking echocardiography and non-invasively assessed blood pressure. Studies on the role of MW in dilated cardiomyopathy (DCM) are still limited. Therefore, the aim of this study was to evaluate the potential value of MW for predicting adverse outcomes in patients with DCM. 116 consecutive patients with DCM who underwent heart catheterization were retrospectively recruited from June 2009 to July 2014. 34 patients (30%) met the composite endpoints for major adverse cardiac events (MACE) of cardiac transplantation, need for implantable cardioverter-defibrillator (ICD) therapy, heart failure hospitalization and all-cause mortality. Patients with DCM were followed up for a mean of 5.1 years (IQR: 2.2-9.1 years). Global work index (GWI) and global constructive work (GCW) were not only independent predictors but also provided incremental predictive values (Integrated discrimination improvement [IDI] > 0) of MACE in multivariate Cox models. Furthermore, Patients with GWI < 788 mm Hg% (HR 5.46, 95%CI 1.66-17.92, p = 0.005) and GCW < 1,238 mm Hg% (HR 4.46, 95%CI 1.53-12.98, p = 0.006) had higher risks of MACE. GWI and GCW assessed by strain imaging echocardiography may have an additional value beyond LV-EF and GLS for predicting adverse outcomes in DCM.

ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction

Heart disease is the leading cause of death worldwide, and cardiac function as measured by ejection fraction (EF) is an important determinant of outcomes, making accurate measurement a critical parameter in PT evaluation. Echocardiograms are commonly used for measuring EF, but human interpretation has limitations in terms of intra- and inter-observer (or reader) variance. Deep learning (DL) has driven a resurgence in machine learning, leading to advancements in medical applications. We introduce the ViViEchoformer DL approach, which uses a video vision transformer to directly regress the left ventricular function (LVEF) from echocardiogram videos. The study used a dataset of 10,030 apical-4-chamber echocardiography videos from patients at Stanford University Hospital. The model accurately captures spatial information and preserves inter-frame relationships by extracting spatiotemporal tokens from video input, allowing for accurate, fully automatic EF predictions that aid human assessment and analysis. The ViViEchoformer's prediction of ejection fraction has a mean absolute error of 6.14%, a root mean squared error of 8.4%, a mean squared log error of 0.04, and an R 2 of 0.55. ViViEchoformer predicted heart failure with reduced ejection fraction (HFrEF) with an area under the curve of 0.83 and a classification accuracy of 87 using a standard threshold of less than 50% ejection fraction. Our video-based method provides precise left ventricular function quantification, offering a reliable alternative to human evaluation and establishing a fundamental basis for echocardiogram interpretation.