Evaluation Of Cardiac Function Research Articles

Atrial fibrillation induced by carbon monoxide poisoning: Case report

Background: Carbon monoxide (CO) poisoning is known to have direct toxic effects on the cardiovascular system, including the potential to cause arrhythmias by prolonging the QTc interval. The arrhythmogenic properties of CO are believed to be attributed to its impact on cardiac membranes. Case Presentation: This case report presents the clinical course and management of a 21-year-old male who presented to the Emergency Department (ED) with an altered level of consciousness following exposure to carbon monoxide while cooking on a gas cylinder in a closed room. The patient had no history of chronic medical illness and was a non-smoker. Physical examination revealed stable vital signs, clear breath sounds, and a lax, soft, and non-tender abdomen. Laboratory investigations showed elevated troponin levels indicative of cardiac muscle injury but normal potassium levels. ECG revealed atrial fibrillation with a fast ventricular rate and transient ST elevation. The patient received high flow oxygen. The carboxyhemoglobin level decreased significantly after high-flow oxygen administration, confirming the successful treatment of carbon monoxide poisoning. Echocardiography and coronary angiography demonstrated normal cardiac function and ruled out coronary artery disease, respectively. The patient received high-flow oxygen therapy, continuous cardiac monitoring, and supportive care during hospitalization. Following stabilization and restoration of sinus rhythm, the patient was discharged in stable condition. Conclusion: This case highlights the importance of prompt recognition and management of carbon monoxide poisoning, as well as the need for careful evaluation of cardiac function in such cases. The patient responded well to high-flow oxygen therapy, leading to a decrease in the carboxy hemoglobin level and resolution of symptoms. Timely recognition and appropriate management of carbon monoxide poisoning are crucial in preventing adverse cardiac events and ensuring a favorable outcome for the patient.

Pediatric three-dimensional quantitative cardiovascular computed tomography.

High-resolution, isotropic, 3-dimensional (D) data from pediatric cardiovascular computed tomography (CT) offer great potential for the accurate quantitative evaluation of pediatric cardiovascular and pulmonary vascular diseases. Recent pilot studies using pediatric 3-D cardiovascular CT have shown promising results in assessing cardiac function in conditions such as tetralogy of Fallot, cardiac defects with a hypoplastic ventricle, Ebstein anomaly, and in quantifying myocardial mass. In addition, the quantitative assessment of pulmonary vascularity is useful for evaluating differential right-to-left pulmonary vascular volume ratio, the effectiveness of pulmonary angioplasty, and predicting pulmonary hypertension. These initial experiences could broaden the role of pediatric cardiovascular CT in clinical practice. Furthermore, the current barriers to its widespread use, pertinent solutions to these problems, and new applications are discussed. In this review, the 3-D quantitative evaluations of cardiac function and pulmonary vascularity using high-resolution pediatric cardiovascular CT data are illustrated.

An Innovative Apical-4-Chamber-long-axis Imaging Approach Precisely Tracks Progressive Deterioration of Mouse Ventricles, Atria, and Atrioventricular Valves

Transthoracic echocardiography stands as the primary non-invasive method for cardiac function evaluation in clinical settings. It’s widely used to assess chamber sizes, heart wall integrity, as well as the hemodynamic performance of the left ventricle (LV), right ventricle (RV), atria, and valves. However, applying comprehensive echocardiography assessments to mice has been challenging, primarily due to diffculties in obtaining on-axis apical 4-chamber views; most mouse studies have thus been restricted to evaluating the LV using short-axis M-mode assays. To overcome this limitation, we’ve recently developed a novel methodology to consistently obtain high-quality apical 4-chamber-long-axis (A4CLAX) view images of mouse heart. This advancement permits a range of clinically relevant functional assessments, including Long Axis Biplane (LAX-BP) assay, which has been shown to surpasses M-mode in estimating LV function. In this study, we delve into the breadth of comprehensive echocardiography assessments made possible for mice through the A4CLAX imaging approach. We performed a severe transverse aortic constriction (TAC) surgery on mice and monitored the pathological development in their hearts post-surgery. Alongside the expected hypertrophy, the LAX-BP assay revealed LV volumetric dilation as early as 1-week after TAC surgery Indicative of decompensated heart failure; however, m-mode was not able to pick up on this early dilation due to its lack of longitudinal assessment and inconsistent measurements of EDV and ESV. The apical 4 chamber view significantly improved the consistency and reliability of trans mitral and pulmonary vein doppler recordings and enabled us to reliably estimate the pressure relationships of the LV and Left Atrial (LA) pressure, which is consistent with the LAX-BP detected LV decompensation. Additionally, the high clarity of the 4 chamber images achieved improved visualization of both mitral and tricuspid valve leaflets. This allowed more precise characterization of valvular issues, including mitral regurgitation caused by LV dilatation, as well as identification of less common pathological occurrences like desynchronization of the tricuspid and mitral valve opening. A speckle tracking assay of the Right ventricle (RV) showed that a delayed contraction of the lateral apical RV wall caused the tricuspid valve to not open during the early filling phase, but rather at the atrial kick, leading to this valve desynchrony. This delayed contraction indicates a possible elevation of pulmonary pressure, as evidenced by pulmonary vein doppler indices and the analysis of pulmonary congestion. In conclusion, the innovative A4CLAX imaging technique revolutionizes murine heart analysis, bringing it in line with clinical echocardiography standards allowing for a whole heart analysis approach. It sensitively identifies subtle anomalies, providing a precise characterization of cardiac remodeling and disease progression in mouse hearts. This study has been supported by grants NIH-R01HL139006 and R21OD031965. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Development of automated neural network prediction for echocardiographic left ventricular ejection fraction.

The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF). This paper aimed to quantify LVEF automatically and accurately with the proposed pipeline method based on deep neural networks and ensemble learning. Within the pipeline, an Atrous Convolutional Neural Network (ACNN) was first trained to segment the left ventricle (LV), before employing the area-length formulation based on the ellipsoid single-plane model to calculate LVEF values. This formulation required inputs of LV area, derived from segmentation using an improved Jeffrey's method, as well as LV length, derived from a novel ensemble learning model. To further improve the pipeline's accuracy, an automated peak detection algorithm was used to identify end-diastolic and end-systolic frames, avoiding issues with human error. Subsequently, single-beat LVEF values were averaged across all cardiac cycles to obtain the final LVEF. This method was developed and internally validated in an open-source dataset containing 10,030 echocardiograms. The Pearson's correlation coefficient was 0.83 for LVEF prediction compared to expert human analysis (p < 0.001), with a subsequent area under the receiver operator curve (AUROC) of 0.98 (95% confidence interval 0.97 to 0.99) for categorisation of HF with reduced ejection (HFrEF; LVEF<40%). In an external dataset with 200 echocardiograms, this method achieved an AUC of 0.90 (95% confidence interval 0.88 to 0.91) for HFrEF assessment. The automated neural network-based calculation of LVEF is comparable to expert clinicians performing time-consuming, frame-by-frame manual evaluations of cardiac systolic function.

Evaluation of cardiac function in paediatric Wilson's disease patients with advanced echocardiographic modalities (strain and strain rate echocardiography).

In Wilson's disease (WD), copper accumulation in the organs and/or damage caused by oxygen free radicals occurs due to disturbances in copper excretion. In our study, we aimed to evaluate cardiac involvement with advanced echocardiographic modalities (tissue Doppler echocardiography, strain and strain-rate echocardiography). Twenty WD patients and 20 healthy children from the Pediatric Gastroenterology Department of Diyarbakır Children's Hospital were included in the study between 2022 and 2023. The mean age of the WD patients was 12.89 ± 3.79 years. Left ventricular wall thicknesses and diameters (diastolic interventricular septum thickness, diastolic left ventricular posterior wall thickness, left ventricular end-diastolic diameter), left ventricular diastolic function parameters (E, A, E/A, deceleration time) and left ventricular ejection fraction and tricuspid annular plane systolic excursion were similar and not statistically significantly different in the WD and control groups. Mitral lateral e', mitral septal e' and tricuspid lateral e' velocities were lower in the WD patients and statistically significantly different from the controls (p = 0.02, 0.04 and 0.005, respectively), as assessed by tissue Doppler echocardiography. Global longitudinal systolic strain was similar in the WD and control groups and no statistically significant difference was detected. Longitudinal early diastolic strain rate was lower in the WD patients and statistically significantly different (p = 0.002). Subclinical early diastolic dysfunction and segmental systolic dysfunction were detected in WD patients with advanced echocardiographic modalities, in addition to normal cardiac function as assessed by conventional echocardiography. Advanced echocardiographic modalities can be used in the follow up of WD patients.

Utilizing Point of Care Ultrasound for Ventilation Liberation: A State-of-the-Art Narrative Review

Mechanical ventilation (MV) is an essential aspect of critical care for patients with acute respiratory failure, but prolonged MV can lead to various complications. Ultrasound (US) is becoming widely available and simple to use, and more people are getting trained to use it. It offers real-time radiation-free assessment of lung aeration, diaphragmatic, and cardiac function. This review explores the role of point-of-care ultrasound (POCUS) in enhancing decision-making and patient care during the weaning and liberation process from MV. Lung US aids in diagnosing lung and pleural pathologies, thereby optimizing ventilator settings and lung recruitment, while diaphragmatic ultrasound provides valuable insights into diaphragmatic atrophy and readiness for extubation. Cardiac function evaluation helps in optimizing hemodynamics that may affect weaning. Despite its advantages, it is crucial to realize that POCUS has limitations, and standardized protocols are still lacking. In conclusion, POCUS holds promise in improving the weaning process and patient care in the context of MV liberation, complementing existing weaning protocols.

Vagus nerve stimulation alleviates cardiac dysfunction and inflammatory markers during heart failure in rats

Vagus nerve stimulation (VNS) is under clinical investigation as a therapy for heart failure with reduced ejection fraction (HFrEF). This study aimed to investigate its therapeutic effects on three main components of heart failure: cardiac function, cardiac remodeling and central neuroinflammation using a pressure overload (PO) rat model. Male Sprague-Dawley rats were divided into four groups: PO, PO + VNS, PO + VNS sham, and controls. All rats, except controls, underwent a PO surgery to constrict the thoracic aorta (~50 %) to induce HFrEF. Open loop VNS therapy was continuously administered to PO + VNS rats at 20 Hz, 1.0 mA for 60 days. Evaluation of cardiac function and structure via echocardiograms showed decreases in stroke volume and relative ejection fraction and increases in the internal diameter of the left ventricle during systole and diastole in PO rats (p < 0.05). However, these PO-induced adverse changes were alleviated with VNS therapy. Additionally, PO rats exhibited significant increases in myocyte cross sectional areas indicating hypertrophy, along with significant increases in myocardial fibrosis and apoptosis, all of which were reversed by VNS therapy (p < 0.05). Furthermore, VNS mitigated microglial activation in two central autonomic nuclei: the paraventricular nucleus of the hypothalamus and locus coeruleus. These findings demonstrate that when VNS therapy is initiated at an early stage of HFrEF progression (<10 % reduction in relative ejection fraction), the supplementation of vagal activity is effective in restoring multi organ homeostasis in a PO model.

Beyond standard echocardiography:Strain imaging as the AI-powered key to comprehensive cardiac function evaluation.

Application of left ventricular and left atrial strain to distinguish cardiac from non-cardiac dyspnea.

A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.

Cine cardiac magnetic resonance (CMR) imaging is considered the gold standard for cardiac function evaluation. However, cine CMR acquisition is inherently slow and in recent decades considerable effort has been put into accelerating scan times without compromising image quality or the accuracy of derived results. In this article, we present a fully-automated, quality-controlled integrated framework for reconstruction, segmentation and downstream analysis of undersampled cine CMR data. The framework produces high quality reconstructions and segmentations, leading to undersampling factors that are optimised on a scan-by-scan basis. This results in reduced scan times and automated analysis, enabling robust and accurate estimation of functional biomarkers. To demonstrate the feasibility of the proposed approach, we perform simulations of radial k-space acquisitions using in-vivo cine CMR data from 270 subjects from the UK Biobank (with synthetic phase) and in-vivo cine CMR data from 16 healthy subjects (with real phase). The results demonstrate that the optimal undersampling factor varies for different subjects by approximately 1 to 2 seconds per slice. We show that our method can produce quality-controlled images in a mean scan time reduced from 12 to 4 seconds per slice, and that image quality is sufficient to allow clinically relevant parameters to be automatically estimated to lie within 5% mean absolute difference.

Quantitative Analysis of Morphology and Function in the Fetal Heart with Severe Tricuspid Regurgitation by Speckle Tracking Imaging.

Morphology and function in a fetal heart with severe tricuspid regurgitation remains challenging. The aim of this study was to assess cardiac morphology and function in fetuses with severe tricuspid regurgitation by fetal heart quantification (HQ) and to assess the practical value of fetal HQ. Clinical information was analyzed for 63 pregnant women who underwent fetal cardiac ultrasonography. The women were divided into those who had a fetus with severe tricuspid regurgitation (n = 20) and those with a normal fetus (n = 40). The global sphericity index (GSI), fractional area change (FAC), and global longitudinal strain (GLS) of both ventricles and the sphericity index (SI) and fractional shortening (FS) of 24 segments were quantified by fetal HQ using speckle tracking imaging. Fetuses with severe tricuspid regurgitation had a significantly lower GSI (1.14 ± 0.10 vs. 1.26 ± 0.08, p < 0.001) and a higher GSI Z-score (-0.98 ± 1.01 vs. 0.25 ± 0.87, p < 0.001) as well as a significantly lower right ventricular FAC (36.50 ± 7.34% vs. 45.19 ± 3.39%, p < 0.001), FAC Z-score (-1.02 ± 1.41 vs. 0.49 ± 0.74, p < 0.001), and GLS (-21.01 ± 5.66% vs. 45.19 ± 3.49%, p < 0.001). The SI and SI Z-score were significantly lower in segments 1-18 of the right ventricle in fetuses with severe tricuspid regurgitation (p < 0.05); furthermore, FS of segments 1-12 and 19-24 and the FS Z-score of segments 18-24 were significantly lower in fetuses with severe tricuspid regurgitation (p < 0.05). Fetal HQ is useful for evaluation of cardiac morphology and function in fetuses with severe tricuspid regurgitation and can provide important reference information for both clinical diagnosis and treatment.

The importance of speckle tracking echocardiography in the evaluation of cardiac functions in patients with rheumatoid arthritis

Objectives: In this study, we aimed to analyze the layer-specific strain values obtained by speckle tracking echocardiography (STE) method in the determination of subclinical cardiac dysfunction in rheumatoid arthritis (RA) patients. Patients and methods: Between February 2019 and October 2019, a total of 63 female RA patients (mean age: 51.82±6.07 years; range, 40 and 65 years) who had a confirmed diagnosis were included. Thirty-one age-matched female healthy individuals (mean age: 50.71±5.37 years; range, 40 and 65 years) were selected as the control group. The patients were divided into three groups according to the duration of disease as &lt;5 years, 5-10 years and &gt;10 years. The Disease Activity Score in 28 joint - C-reactive protein (CRP) was used to determine disease activation. The standard assessment included complete serum CRP, anti-cyclic citrullinated peptide, rheumatoid factor, N-terminal pro B-type natriuretic peptide (NT-proBNP), and homocysteine. Global longitudinal strain (GLS) analysis was performed with STE. Results: The NT-proBNP values were found to be higher in RA patients compared to the control group (p=0.044). In terms of conventional echocardiographic parameters, a significant difference between E/A and E/E’ ratios was observed (p&lt;0.001 and p=0.015). Endocardium, transmural, and epicardium GLS values obtained by STE were found to be lower in RA patients (p&lt;0.05). The left ventricular (LV) GLS values worsened, as the duration of disease increased (p&lt;0.05). There was a significant correlation between RA disease activity and LV GLS values, showing that increasing levels of disease activity was associated with worse LV GLS (r=0.583, p&lt;0.01 and r=0.681, p&lt;0.01 and r=0.689, p&lt;0.01 for endocardium, transmural and epicardium, respectively). Conclusion: Our study results suggest that the layer-specific GLS values obtained by STE decrease in RA patients.

Cardiac function evaluation in children with spinal muscular atrophy: A case-control study.

Spinal muscular atrophy (SMA) is an autosomal recessive disorder characterized by degeneration of lower motor neurons, resulting in progressive muscle weakness and atrophy. However, little is known regarding the cardiac function of children with SMA. We recruited SMA patients younger than 18 years of age from January 1, 2022, to April 1, 2022, in the First Affiliated Hospital of Sun Yat-sen University. All patients underwent a comprehensive cardiac evaluation before treatment, including history taking, physical examination, blood tests of cardiac biomarkers, assessment of echocardiography and electrocardiogram. Age/gender-matched healthy volunteers were recruited as controls. A total of 36 SMA patients (26 with SMA type 2 and 10 with SMA type 3) and 40 controls were enrolled in the study. No patient was clinically diagnosed with heart failure. Blood tests showed elevated values of creatine kinase isoenzyme M and isoenzyme B (CK-MB) mass and high-sensitivity cardiac troponin T (hs-cTnT) in spinal muscular atrophy (SMA) patients. Regarding echocardiographic parameters, SMA children were detected with lower global left and right ventricular longitudinal strain, abnormal diastolic filling velocities of trans-mitral and trans-tricuspid flow. The results revealed no clinical heart dysfunction in SMA patients, but subclinical ventricular dysfunction was seen in SMA children including the diastolic function and myocardial performance. Some patients presented with elevated heart rate and abnormal echogenicity of aortic valve or wall. Among these SMA patients, seven patients (19.4%) had scoliosis. The Cobb's angles showed a significant negative correlation with LVEDd/BSA, but no correlation with other parameters, suggesting that mild scoliosis did not lead to significant cardiac dysfunction. Our findings warrant increased attention to the cardiac status and highlight the need to investigate cardiac interventions in SMA children.

Impact of continuous care on cardiac function in patients with lung cancer complicated by coronary heart disease.

Despite sharing similar pathogenic factors, cancer and coronary heart disease (CHD) occur in comparable populations at similar ages and possess similar susceptibility factors. Consequently, it is increasingly commonplace for patients to experience the simultaneous occurrence of cancer and CHD, a trend that is steadily rising. To determine the impacts of continuing care on lung cancer patients with CHD following percutaneous coronary intervention (PCI). There were 94 lung cancer patients with CHD following PCI who were randomly assigned to the intervention group (n = 38) and the control group (n = 41). In the intervention group, continuing care was provided, while in the control group, routine care was provided. An evaluation of cardiac and pulmonary function, medication compliance, a 6-min walk test, and patient quality of life was performed. Differences between the two groups were significant in left ventricular ejection fraction, 6-min walk test, oxygen uptake, quality of life and medication compliance (P < 0.05). In comparison with the control group, the enhancement in the intervention group was more significant. The intervention group had more patients with high medication compliance than the control group, with a statistically significant difference (P < 0.05). After undergoing PCI, lung patients with CHD could benefit from continued care in terms of cardiac and pulmonary function, medications compliance, and quality of life.

ECG-free cine MRI with data-driven clustering of cardiac motion for quantification of ventricular function.

Despite the widespread use of cine MRI for evaluation of cardiac function, existing real-time methods do not easily enable quantification of ventricular function. Moreover, segmented cine MRI assumes periodicity of cardiac motion. We aim to develop a self-gated, cine MRI acquisition scheme with data-driven cluster-based binning of cardiac motion. A Cartesian golden-step balanced steady-state free precession sequence with sorted k-space ordering was designed. Image data were acquired with breath-holding. Principal component analysis and k-means clustering were used for binning of cardiac phases. Cluster compactness in the time dimension was assessed using temporal variability, and dispersion in the spatial dimension was assessed using the Caliński-Harabasz index. The proposed and the reference electrocardiogram (ECG)-gated cine methods were compared using a four-point image quality score, SNR and CNR values, and Bland-Altman analyses of ventricular function. A total of 10 subjects with sinus rhythm and 8 subjects with arrhythmias underwent cardiac MRI at 3.0 T. The temporal variability was 45.6 ms (cluster) versus 24.6 ms (ECG-based) (p< 0.001), and the Caliński-Harabasz index was 59.1 ± 9.1 (cluster) versus 22.0 ± 7.1 (ECG based) (p< 0.001). In subjects with sinus rhythm, 100% of the end-systolic and end-diastolic images from both the cluster and reference approach received the highest image quality score of 4. Relative to the reference cine images, the cluster-based multiphase (cine) image quality consistently received a one-point lower score (p< 0.05), whereas the SNR and CNR values were not significantly different (p= 0.20). In cases with arrhythmias, 97.9% of the end-systolic and end-diastolic images from the cluster approach received an image quality score of 3 or more. The mean bias values for biventricular ejection fraction and volumes derived from the cluster approach versus reference cine were negligible. ECG-free cine cardiac MRI with data-driven clustering for binning of cardiac motion is feasible and enables quantification of cardiac function.

Inter-study reproducibility of cardiovascular magnetic resonance-derived hemodynamic force assessments

Cardiovascular magnetic resonance (CMR)-derived hemodynamic force (HDF) analyses have been introduced recently enabling more in-depth cardiac function evaluation. Inter-study reproducibility is important for a widespread clinical use but has not been quantified for this novel CMR post-processing tool yet. Serial CMR imaging was performed in 11 healthy participants in a median interval of 63 days (range 49–87). HDF assessment included left ventricular (LV) longitudinal, systolic peak and impulse, systolic/diastolic transition, diastolic deceleration as well as atrial thrust acceleration forces. Inter-study reproducibility and study sample sizes required to demonstrate 10%, 15% or 20% relative changes of HDF measurements were calculated. In addition, intra- and inter-observer analyses were performed. Intra- and inter-observer reproducibility was excellent for all HDF parameters according to intraclass correlation coefficient (ICC) values (> 0.80 for all). Inter-study reproducibility of all HDF parameters was excellent (ICC ≥ 0.80 for all) with systolic parameters showing lower coeffients of variation (CoV) than diastolic measurements (CoV 15.2% for systolic impulse vs. CoV 30.9% for atrial thrust). Calculated sample sizes to detect relative changes ranged from n = 12 for the detection of a 20% relative change in systolic impulse to n = 200 for the detection of 10% relative change in atrial thrust. Overall inter-study reproducibility of CMR-derived HDF assessments was sufficient with systolic HDF measurements showing lower inter-study variation than diastolic HDF analyses.

Kiosk 1R-TA-08 - Evaluation of Cardiac Function and Infarct Size by Contrast-enhanced Cardiac Magnetic Resonance Imaging in Mice with Myocardial Ischemia Reperfusion Injury: Comparison of Imaging and Staining Data

Kiosk 1R-TA-08 - Evaluation of Cardiac Function and Infarct Size by Contrast-enhanced Cardiac Magnetic Resonance Imaging in Mice with Myocardial Ischemia Reperfusion Injury: Comparison of Imaging and Staining Data

Using CT to Evaluate Cardiac Function

A comprehensive evaluation of cardiac function includes information in relation to cardiac output and systemic venous return. The heart is composed of four chambers: two atria and two ventricles, each with its own unique mechanical function. These four cardiac chambers, their valves, and the pulmonary circulation system are inter-related as they preload or afterload on each other. Cardiac dysfunction is a failure of global cardiac function, resulting in typical clinical manifestations. To investigate the underlying cause of cardiac dysfunction, a step-by-step evaluation of cardiac blood flow tracks is necessary. In this context, imaging markers showing details of the cardiac structures have an important role in assessing cardiac function. An image-based evaluation allows for investigation of function in terms of individual cardiac components. Evaluation of cardiac function using cardiac CT has recently been validated. This review aimed to discuss cardiac CT-based imaging markers for comprehensive and detailed cardiac function assessment.

Methodology for the induction of myocardial infarction and cardiac function evaluation.

Cardiovascular disease (CVD) is the main cause of death worldwide, with myocardial infarction (MI) being the most prevalent pathology involved in CVD. MI is characterized by a deficiency in oxygen supply to the myocardium, thereby promoting ventricular remodeling of the ischemic and remote zone of the heart. Cardiac remodeling associated with MI could promote the development of heart failure and finally death. For these reasons, it is important to develop animal models that mimic human cardiac disease which could help to identify new mechanisms involved in the pathology and, consequently, develop new therapeutic strategies. We herein describe in detail a protocol for MI induction with low mortality rate (<15%) in rats by ligation of the left anterior descending artery. In addition, we also describe two imaging techniques which allow to evaluate cardiac structure and function-including deformation parameters in rats such as transthoracic echocardiography and cardiac magnetic resonance. This animal model could be useful for acute and chronic studies and for evaluating the potential usefulness of different treatments.

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.

Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac function in a non-invasive manner, making them a promising approach for personalized diagnosis and treatment planning of myocardial infarction (MI). The inference of accurate myocardial tissue properties is crucial in creating a reliable CDT of MI. In this work, we investigate the feasibility of inferring myocardial tissue properties from the electrocardiogram (ECG) within a CDT platform. The platform integrates multi-modal data, such as cardiac MRI and ECG, to enhance the accuracy and reliability of the inferred tissue properties. We perform a sensitivity analysis based on computer simulations, systematically exploring the effects of infarct location, size, degree of transmurality, and electrical activity alteration on the simulated QRS complex of ECG, to establish the limits of the approach. We subsequently present a novel deep computational model, comprising a dual-branch variational autoencoder and an inference model, to infer infarct location and distribution from the simulated QRS. The proposed model achieves mean Dice scores of 0.457 ± 0.317 and 0.302 ± 0.273 for the inference of left ventricle scars and border zone, respectively. The sensitivity analysis enhances our understanding of the complex relationship between infarct characteristics and electrophysiological features. The in silico experimental results show that the model can effectively capture the relationship for the inverse inference, with promising potential for clinical application in the future. The code is available at https: //github.com/lileitech/MI_inverse_inference.

Transesophageal echocardiography during surgery of the thoracic aorta in adults

Thoracic aortic surgery poses significant challenges due to the complex anatomy and potential for life-threatening complications. Transesophageal echocardiography (TEE) has emerged as a crucial imaging tool in the management of patients undergoing these operations. TEE offers real-time, high-resolution imaging of the heart and aorta, enabling accurate assessment of aortic pathology, evaluation of cardiac function, and monitoring of intraoperative hemodynamics. Its semi-invasive nature, immediate availability, and ability to provide dynamic information make TEE an indispensable adjunct during these intricate procedures. One of the primary indications for TEE during thoracic aortic surgery is the assessment of aortic pathology, including aneurysms, dissections, and aortic valve diseases. TEE allows precise visualization of the extent, location, and severity of aortic lesions, facilitating decision-making regarding repair strategies, graft sizing, and intraoperative guidance. Furthermore, TEE aids in identifying associated cardiac abnormalities such as valvular or ventricular dysfunction, which may impact surgical planning and outcomes. This review aims to summarize the current evidence supporting the use of TEE during thoracic aortic surgical interventions and highlight its invaluable contributions to perioperative patient care.