Cardiac Anatomy Research Articles

Mechanical circulatory support devices in adults with congenital heart disease.

Mechanical circulatory support is used frequently as a method of stabilizing patients with end stage heart failure who are unable to safely await allograft availability. While this technology has been fundamentally important in supporting patients with normal cardiac anatomy, it is still used infrequently in adult patients with congenital heart disease and end-stage heart failure. Here, we review the data on mechanical circulatory support technology in this small but growing population of patients with chronic heart disease prone to the development of circulatory failure. Mechanical circulatory support (MCS) has been increasingly employed in adults with congenital heart disease (ACHD) as a bridge to transplant. The new United Network for Organ Sharing listing system favoring temporary MCS use with a higher listing status offers another tool to stabilize ACHD patients and potentially shorten wait times. Both temporary and Durable MCS could help improve transplant candidacy and posttransplant outcomes in select groups of ACHD patients. Durable and temporary MCS have the potential to significantly improve access to transplant and overall transplant outcomes in ACHD patients.

Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.

Global single-valued biomarkers, such as ejection fraction, are widely used in clinical practice to assess cardiac function. However, they only approximate the heart's true 3D deformation process, thus limiting diagnostic accuracy and the understanding of cardiac mechanics. Metrics based on 3D shape have been proposed to alleviate these shortcomings. In this work, we present the Point Cloud Deformation Network (PCD-Net) as a novel geometric deep learning approach for direct modeling of 3D cardiac mechanics of the biventricular anatomy between the extreme ends of the cardiac cycle. Its encoder-decoder architecture combines a low-dimensional latent space with recent advances in point cloud deep learning for effective multi-scale feature learning directly on flexible and memory-efficient point cloud representations of the cardiac anatomy. We first evaluate the PCD-Net's predictive capability for both cardiac contraction and relaxation on a large UK Biobank dataset of over 10,000 subjects and find average Chamfer distances between the predicted and ground truth anatomies below the pixel resolution of the underlying image acquisition. We then show the PCD-Net's ability to capture subpopulation-specific differences in 3D cardiac mechanics between normal and myocardial infarction (MI) subjects and visualize abnormal phenotypes between predicted normal 3D shapes and corresponding observed ones. Finally, we demonstrate that the PCD-Net's learned 3D deformation encodings outperform multiple clinical and machine learning benchmarks by 11% in terms of area under the receiver operating characteristic curve for the tasks of prevalent MI detection and incident MI prediction and by 7% in terms of Harrell's concordance index for MI survival analysis.

Echocardiographic evaluation in koi carp (Cyprinus carpio) under manual restraint compared to anesthesia with isoeugenol.

To establish an echocardiographic technique in koi carp (Cyprinus carpio), compare cardiopulmonary parameters under manual restraint versus anesthesia, and provide a gross anatomical and histologic cardiac description. A randomized, crossover echocardiography study was performed in 40 clinically healthy adult, unknown sex, privately owned koi carp on May 10 and 11 through June 26 and 27, 2021. Echocardiography was examined for each koi under manual restraint and isoeugenol at 50 ppm, with 3 measurements per examination performed by a radiologist and cardiologist. Two koi were euthanized for gross anatomic and histologic cardiac evaluation. Mean ejection fraction (EF), stroke volume (SV), and cardiac output (CO) were significantly lower, mean heart rate (HR) was significantly higher, and opercular rate (OPR) was decreased significantly in anesthetized compared to manually restrained koi. Poor reproducibility for EF and SV was observed. Echocardiography was feasible in both manually restrained and anesthetized koi; however, this technique may best be applied to monitoring trends over time in individual fish due to low reproducibility. Significant differences in multiple cardiopulmonary parameters, including HR, EF, SV, CO, and OPR, were present between manually restrained and anesthetized koi. A gross anatomic and histologic cardiac description is provided for this species to pair with the echocardiographic images. This study provides the first description of echocardiography, cardiac gross anatomy, and histology in koi. The results support echocardiography as a safe and practical noninvasive diagnostic for cardiac assessment in koi under both manual restraint and anesthesia.

Intracardiac Echocardiography-Applications in the Electrophysiology and the Cardiac Catheterization Labs.

Background. Intracardiac echocardiography (ICE) is routinely used in cardiac electrophysiology and catheterization labs. It plays a vital role in understanding cardiac anatomy, procedural planning, and early identification of complications. In this review, we describe the utility of ICE for procedures in the electrophysiology lab, including atrial fibrillation ablation, left atrial appendage occlusion device implantation, and cardiac implantable electronic device (CIED) extraction. Intracardiac echocardiography also helps in the identification of complications such as pericardial effusion, pulmonary vein stenosis, and left atrial appendage thrombus. Compared with traditional echocardiographic modalities such as transesophageal echocardiogram (TEE), ICE has equivalent image quality, requires less sedation, and possesses no risk of esophageal injury. The disadvantages of ICE include a learning curve and necessity for central vascular access.

Importance of Cardiovascular Magnetic Resonance Applied to Congenital Heart Diseases in Pediatric Age: A Narrative Review.

Congenital heart diseases (CHDs) represent a heterogeneous group of congenital defects, with high prevalence worldwide. Non-invasive imaging is essential to guide medical and surgical planning, to follow the patient over time in the evolution of the disease, and to reveal potential complications of the chosen treatment. The application of cardiac magnetic resonance imaging (CMRI) in this population allows for obtaining detailed information on the defects without the necessity of ionizing radiations. This review emphasizes the central role of CMR in the overall assessment of CHDs, considering also the limitations and challenges of this imaging technique. CMR, with the application of two-dimensional (2D) and tri-dimensional (3D) steady-state free precession (SSFP), permits the obtaining of very detailed and accurate images about the cardiac anatomy, global function, and volumes' chambers, giving essential information in the intervention planning and optimal awareness of the postoperative anatomy. Nevertheless, CMR supplies tissue characterization, identifying the presence of fat, fibrosis, or oedema in the myocardial tissue. Using a contrast agent for angiography sequences or 2D/four-dimensional (4D) flows offers information about the vascular, valvular blood flow, and, in general, the cardiovascular system hemodynamics. Furthermore, 3D SSFP CMR acquisitions allow the identification of coronary artery abnormalities as an alternative to invasive angiography and cardiovascular computed tomography (CCT). However, CMR requires expertise in CHDs, and it can be contraindicated in patients with non-conditional devices. Furthermore, its relatively longer acquisition time and the necessity of breath-holding may limit its use, particularly in children under eight years old, sometimes requiring anesthesia. The purpose of this review is to elucidate the application of CMR during the pediatric age.

From Proliferation to Protection: Immunohistochemical Profiling of Cardiomyocytes and Immune Cells in Molly Fish Hearts

Unlike adult mammalian cardiomyocytes, cardiomyocytes in teleosts display high proliferative capacity throughout adulthood. This study aimed to identify the immunohistochemical profiles of cardiomyocytes and immune cells in the hearts of Molly fish by assessing the immunolabelling expression of key proteins involved in cell proliferation, differentiation, and tissue protection. The cardiac anatomy of Molly fish includes the atrium, ventricle, and bulbus arteriosus. The expression of SOX9, NF-κB, myostatin, and S100 proteins in myocardial cells indicates the proliferative features of the heart in Molly fish. The bulbus arteriosus is characterized by collagenous chambers and smooth muscle cells that express Ach and iba1. The atrium of Molly fish serves as a storage unit for rodlet cells and immune cells. Rodlet cells displayed immunoreactivity to NF-κB, iba1, Olig2, Ach, and S100 proteins, suggesting their roles in the immune response within the heart. Furthermore, telocytes (TCs) have emerged as a significant component of the atrium of Molly fish, expressing Ach, CD68, S100 protein, and iba1. These expressions indicate the involvement of TCs in multiple signaling pathways that contribute to heart architecture. This study delineates the intricate relationship between cardiomyocytes and innate immune cells in Molly fish.

EEMSNet: Eagle-Eye Multi-Scale Supervised Network for cardiac segmentation

Cardiac segmentation plays a crucial role in computer-aided diagnosis of cardiac diseases. Nevertheless, the task of cardiac segmentation is inherently arduous due to the complex cardiac anatomy, and the intensity heterogeneity introduced during the acquisition of magnetic resonance images. To address these challenges, this paper presents an Eagle-Eye Multi-Scale Supervision Network. The network improves on the Full Convolutional Transformer network and introduces an innovative Eagle-Eye Multi-Scale Supervised module, which is used exclusively for edge supervision during the training process. The edge-supervised branch supervises the structure of cardiac edges at different scales within the input image pyramid structure. During training, the Eagle-Eye Multi-Scale Supervised module is based on multi-scale inputs. It uses edge information from Ground Truth to guide the model in learning the structural and detailed features of cardiac edges, ensuring the model captures edges accurately. Furthermore, considering that most cardiac segmentation networks typically overlook boundary profile information, our designed loss function places particular emphasis on the preservation of boundary profiles after the fusion of multi-scale edge features. Experimental results demonstrate that our proposed the Eagle-Eye Multi-Scale Supervision Network exhibits outstanding performance on the Automatic Cardiac Diagnosis Challenge dataset, achieving a notable average Dice Similarity Coefficient of 93.21%. Particularly, the Dice Similarity Coefficient value for right ventricle segmentation stands out at an impressive 93.52%. These findings signify the exceptional accuracy and effectiveness of our approach in addressing cardiac image segmentation tasks.

HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in congenital heart disease

Patients with congenital heart disease often have cardiac anatomy that deviates significantly from normal, frequently requiring multiple heart surgeries. Image segmentation from a preoperative cardiovascular magnetic resonance (CMR) scan would enable creation of patient-specific 3D surface models of the heart, which have potential to improve surgical planning, enable surgical simulation, and allow automatic computation of quantitative metrics of heart function. However, there is no publicly available CMR dataset for whole-heart segmentation in patients with congenital heart disease. Here, we release the HVSMR-2.0 dataset, comprising 60 CMR scans alongside manual segmentation masks of the 4 cardiac chambers and 4 great vessels. The images showcase a wide range of heart defects and prior surgical interventions. The dataset also includes masks of required and optional extents of the great vessels, enabling fairer comparisons across algorithms. Detailed diagnoses for each subject are also provided. By releasing HVSMR-2.0, we aim to encourage development of robust segmentation algorithms and clinically relevant tools for congenital heart disease.

Racial and Gender Differences in Cardiorespiratory Fitness and Atrial Fibrillation.

The expanding field of cardiorespiratory fitness (CRF) in individuals with and without atrial fibrillation (AF) presents a complex landscape, demanding careful interpretation of the existing research. AF, characterized by significant mortality and morbidity, prompts the exploration of strategies to mitigate its impact. Increasing physical activity (PA) levels emerges as a promising avenue to address AF risk factors, such as obesity, hypertension, and diabetes mellitus, through mechanisms of reduced vasoconstriction, endothelin-1 modulation, and improved insulin sensitivity. However, caution is warranted, as recent investigations suggest a heightened incidence of AF, particularly in athletes engaged in high-intensity exercise, due to the formation of ectopic foci and changes in cardiac anatomy. Accordingly, patients should adhere to guideline-recommended amounts of low-to-moderate PA to balance benefits and minimize adverse effects. When looking closer at the current evidence, gender-specific differences have been observed and challenged conventional understanding, with women demonstrating decreased AF risk even at extreme exercise levels. This phenomenon may be rooted in divergent hemodynamic and structural responses to exercise between men and women. Existing research is predominantly observational and limited to racially homogenous populations, which underscores the need for comprehensive studies encompassing diverse, non-White ethnic groups in athlete and non-athlete populations. These individuals exhibit a disproportionately high burden of AF risk factors that could be addressed through improved CRF. Despite the limitations, randomized control trials offer promising evidence for the efficacy of CRF interventions in patients with preexisting AF, showcasing improvements in clinically significant AF outcomes and patient quality of life. The potential of CRF as a countermeasure to the consequences of AF remains an area of great promise, urging future research to delve deeper to explore its role within specific racial and gender contexts. This comprehensive understanding will contribute to the development of tailored strategies for optimizing cardiovascular health and AF prevention in all those who are affected.

Impact of proximity of left atrium to descending aorta on left inferior pulmonary vein triggers or drivers of atrial fibrillation: A risk score model

BackgroundPrior studies have investigated cardiac anatomy and clinical parameters as predictors for pulmonary vein and non–pulmonary vein triggers. ObjectiveWe aimed to assess the link between the descending aorta to left inferior pulmonary vein (Dao-LIPV) distance and the occurrence of triggers and drivers in atrial fibrillation (AF) ablation procedures. MethodsDrug-refractory AF patients who underwent first-time index catheter ablation from January 2010 to December 2019 were retrospectively assembled. The Dao-LIPV distance was measured from preablation pulmonary vein computed tomography. Patients were assigned to groups on the basis of the presence of LIPV triggers or drivers. Multivariate logistic regression was used to identify risk factors. ResultsA total of 886 consecutive patients with drug-refractory AF were studied, and 63 (7.1%) patients were identified to have LIPV triggers or drivers. The Dao-LIPV distance had a better predictive performance (area under the curve, 0.70) compared with persistent AF (area under the curve, 0.57). Multivariate logistic regression analysis showed that Dao-LIPV distance ≤2.5 mm (odds ratio, 3.96; 95% CI, 2.15–7.29; P < .001) and persistent AF (odds ratio, 1.73; 95% CI, 1.02–2.94]; P = .044) were independent predictors for the presence of LIPV triggers or drivers. A risk score model was established to predict the probability of LIPV triggers or drivers with persistent AF (10.2%), Dao-LIPV distance ≤2.5 mm (11.4%), and both (15.0%). ConclusionThe proximity of the Dao-LIPV was correlated to the presence of LIPV triggers or drivers. We developed a risk score model indicating that persistent AF and Dao-LIPV distances ≤2.5 mm significantly increase the risk of LIPV triggers or drivers, aiding electrophysiologists in preparing for and performing catheter ablation more effectively.

Rare coronary artery variants are associated with increased mortality and reinterventions following the arterial switch operation

ObjectiveTo determine the influence of coronary anatomy on long-term outcomes of the arterial switch operation (ASO). MethodsWe retrospectively reviewed patients with transposition of the great arteries or Taussig-Bing anomaly who underwent ASO at our institution between 1992 and 2022. The primary endpoint was freedom from a composite of death, transplantation, and coronary reintervention. ResultsA total of 632 patients (median age, 5.0 days; interquartile range [IQR], 4.0-7.0 days) underwent ASO. Coronary anatomy included the following categories: usual (n = 411; 65%), circumflex (Cx) from sinus 2 (n = 89; 14%), inverted (n = 55; 9%), single sinus (n = 46; 7%), and intramural (n = 31; 5%). Overall operative mortality was 3% (n = 16) and highest in patients with intramural cardiac anatomy (n = 3; 10%), although it dropped to 0% in this group in the most recent decade. The median duration of follow-up was 14.5 years (IQR, 6.0-20.3 years). Twenty-year freedom from the primary endpoint was 95 ± 1% for usual anatomy, 99 ± 1% for Cx from sinus 2, 90 ± 4% for inverted, 91 ± 4% for single sinus, and 80 ± 9% for intramural (P < .001). Intramurals had the highest 20-year incidence of coronary reintervention (11 ± 8%). Cox modeling identified intraoperative coronary revision (hazard ratio [HR], 20.1; 95% confidence interval [CI], 9.4-53.9; P < .001), Taussig-Bing anomaly (HR, 4.9; 95% CI, 2.2-10.9; P < .001), and an intramural coronary artery (HR, 2.9; 95% CI, 1.0-8.2; P = .04) to be risk factors for the composite endpoint. ConclusionsRare coronary artery variants—particularly intramural—are associated with increased mortality and coronary reinterventions after ASO. A low threshold for unroofing intramurals is likely associated with declining mortality and improved outcomes. Additional investigations are needed to determine the long-term fate of the coronary arteries after ASO.

Pipeline for Multi-Scale Three-Dimensional Anatomic Study of the Human Heart.

Detailed study of non-failing human hearts rejected for transplantation provides a unique opportunity to perform structural analyses across microscopic and macroscopic scales. These techniques include tissue clearing (modified immunolabeling-enabled three-dimensional (3D) imaging of solvent-cleared organs) and immunohistochemical staining. Mesoscopic examination procedures include stereoscopic dissection and micro-computed tomographic (CT) scanning. Macroscopic examination procedures include gross dissection, photography (including anaglyphs and photogrammetry), CT, and 3D printing of the physically or virtually dissected or whole heart. Before macroscopic examination, pressure-perfusion fixation may be performed to maintain the 3D architecture and physiologically relevant morphology of the heart. The application of these techniques in combination to study the human heart is unique and crucial in understanding the relationship between distinct anatomic features such as coronary vasculature and myocardial innervation in the context of the 3D architecture of the heart. This protocol describes the methodologies in detail and includes representative resultsto illustrate progress in the research of human cardiac anatomy.

Early Detection of Cardiotoxicity Using [64Cu]Cu-NODAGA-E[(cRGDyK)]2 PET Imaging in a Rat Model of Doxorubicin-Induced Heart Failure.

Doxorubicin (DOX) is a common and highly effective chemotherapeutic. However, its use is limited by cardiotoxic effects and the lack of methods to detect these at early time points. In the present study, we evaluated if [64Cu]Cu-NODAGA-E[(cRGDyK)]2 positron emission tomography-computed tomography ([64Cu]Cu-RGD PET/CT) could detect cardiotoxicity in a rat model of DOX-induced heart failure. Male Lewis rats were divided into two groups and treated with either a cumulative dose of 15 mg/kg of DOX or left untreated. Cardiac anatomy and function were assessed using magnetic resonance imaging at baseline and in week 8. [64Cu]Cu-RGD PET/CT scans were performed in week 4. DOX treatment led to a decline in pump function as well as an increase in cardiac and thymic uptake of [64Cu]Cu-RGD. In addition, DOX altered cardiac gene expression, led to infiltration of immune cells, reduced endothelial content, and increased interstitial fibrosis. Furthermore, concentrations of inflammatory plasma proteins were increased in the DOX group. In conclusion, DOX treatment resulted in the development of cardiotoxicity and heart failure, which could be detected using [64Cu]Cu-RGD PET/CT at early time points. [64Cu]Cu-RGD uptake in the myocardial septum and thymus predicted a low left ventricular ejection fraction in week 8.

Optimal Chest Compression Point During Pediatric Resuscitation: Implications for Pediatric Resuscitation Practice by CT Scans.

Current European guidelines for pediatric cardiopulmonary resuscitation (CPR) recommend the lower half of the sternum as the chest compression point (CP). In this study, we have used thoracic CT scans to evaluate recommended and optimal CP in relation to cardiac anatomy and structure. Analysis of routinely acquired thoracic CT scans acquired from 2000 to 2020. Single-center pediatric department in a German University Hospital. Imaging data were obtained from 290 patients of 3-16 years old. None. We measured and analyzed 14 thoracic metrics in each thoracic CT scan. In 44 of 290 (15.2%) scans, the recommended CP did not match the level of the cardiac ventricles. Anatomically, the optimal CP was one rib or one vertebral body lower than the recommended CP, that is, the optimal CP was more caudal to the level of the body of the sternum in 67 of 290 (23.1%) scans. The recommended compression depth appeared reasonable in children younger than 12 years old. At 12 years old or older, the maximum compression depth of 6 cm is less than or equal to one-third of the thoracic depth. In this study of thoracic CT scans in children 3-16 years old, we have found that optimal CP for CPR appears to be more caudal than the recommended CP. Therefore, it seems reasonable to prefer to use the lower part of the sternum for CPR chest compressions. At 12 years old or older, a compression depth similar to that used in adults-6 cm limit-may be chosen.

Exploring new frontiers: a rare case of catheter ablation for persistent atrial fibrillation in a patient with cor triatriatum sinister guided by intracardiac echocardiography

BackgroundCor triatriatum sinister (CTS) is an uncommon congenital cardiac anomaly. Atrial fibrillation (AF) is commonly the initial symptom in patients with CTS, occurring in approximately 32% of the cases. The complexity of performing AF catheter ablation, particularly in cases with persistent AF, increases in patients with CTS due to its unique structural challenges.Case presentationWe report the treatment course of a 60-year-old male patient diagnosed with CTS, who underwent catheter ablation of drug-refractory, persistent AF. The complex anatomical structure of the condition made catheter ablation of AF challenging. To navigate these challenges, we performed comprehensive assessments using transthoracic echocardiography and transesophageal echocardiography, along with cardiac computed tomography angiography, prior to treatment initiation. The intricate anatomy of CTS was further clarified during the procedure via intracardiac echocardiography (ICE). Additionally, the complexity of catheter manipulation was further reduced with the aid of the VIZIGO sheath and the vein of Marshall ethanol infusion to achieve effective mitral isthmus blockage, thereby circumventing the impact of the CTS membrane.ConclusionsThis case underscores the complexity and potential of advanced ablation techniques in managing cardiac arrhythmias associated with unusual cardiac anatomies. During the procedure, ICE facilitated detailed modeling of the left atrium, including the membranous structure and its openings, thus providing a clearer understanding of CTS. It is noteworthy that the membrane within the CTS may serve as a potential substrate for arrhythmias, which warrants further validation through larger sample studies.

Perspectives of Challenges in Counseling for Congenital Heart Defects.

Prior work regarding counseling patients about congenital heart defects (CHD) has focused on their perceptions about accurate communication of cardiac anatomy, and the emotional support received from the provider. The objectives of this study were to identify the additional CHD counseling-specific challenges and areas for future intervention, using a practical communication framework. This is a secondary analysis of qualitative data provided by caretakers of infants who received congenital heart surgery from 2019 to 2020 in the Chicagoland area. While the survey in the primary study pertained to barriers in obtaining prenatal diagnosis, respondents with both prenatal and postnatal diagnosis reported challenges to effective counseling. Qualitative data measuring counseling challenges were collected from semi-structured phone interviews. Thematic analysis was performed using an inductive approach. Themes were organized into five domains using SPIKES (Setting, Perception, Invitation, Knowledge, Empathy, and Summarize/Strategy), a previously validated framework to help clinicians effectively break bad news. Among 160 survey respondents, 35 (21.9%) reported a challenge during CHD counseling that they received. In total, 12 challenges were identified and spanned all six SPIKES domains. The three most common challenges were as follows: perception of repeated imaging studies for accurate diagnosis or management (n = 19, Knowledge), the lack of cardiologist presence at the time of initial CHD detection (n = 8, Setting), and insufficient information provided about the CHD diagnosis (n = 7, Knowledge). Patients perceive counseling as a key component of prenatal diagnosis of CHD and identify the challenges that exist at all stages of the counseling process. These findings suggest that effective counseling extends beyond conveying information about anatomy and prognosis.

Gross morphology and morphometry of native and decellularized heart valves of caprine: A comparative study.

The gross morphological examination of native caprine heart valves revealed distinctive structural characteristics of the caprine's cardiac anatomy. Four primary orifices were identified, each protected by thin, valve-like structures. Atrioventricular orifices featured tricuspid and bicuspid valves, while the aorta and pulmonary arteries were guarded by semilunar valves. Within the atrioventricular apparatus, distinct features were observed including the tricuspid valve's three leaflets and the bicuspid valve's anterior and posterior leaflets. Ultrasonography provided insights into valve thickness and chordae tendineae lengths. Morphometric studies compared leaflets/cusps within individual native valves, showcasing significant variations in dimensions. Comparative analysis between native and decellularized valves highlighted the effects of decellularization on leaflet thickness and chordae tendineae lengths. Decellularized valves exhibited reduced dimensions compared to native valves, indicating successful removal of cellular components. While some dimensions remained unchanged post-decellularization, significant reductions were observed in leaflet thicknesses and chordae tendineae lengths. Notably, semilunar valve cusps displayed varying responses to decellularization, with significant reductions in cusp lengths observed in the aortic valve, while the pulmonary valve exhibited more subtle changes. These findings underscore the importance of understanding structural alterations in heart valves post-decellularization, providing valuable insights for tissue engineering applications and regenerative medicine.

Everyone can draw: An inclusive and transformative activity for conceptualization of topographic anatomy.

Anatomical drawing traditionally involves illustration of labeled diagrams on two-dimensional surfaces to represent topographical features. Despite the visual nature of anatomy, many learners perceive that they lack drawing skills and do not engage in art-based learning. Recent advances in the capabilities of technology-enhanced learning have enabled the rapid and inexpensive production of three-dimensional anatomical models. This work describes a "drawing on model" activity in which learners observe and draw specific structures onto three-dimensional models. Sport and exercise sciences (SES, n = 79) and medical (MED, n = 156) students at a United Kingdom medical school completed this activity using heart and femur models, respectively. Learner demographics, their perceptions of anatomy learning approaches, the value of the activity, and their confidence in understanding anatomical features, were obtained via validated questionnaire. Responses to 7-point Likert-type and free-text items were analyzed by descriptive statistics and semi-quantitative content analysis. Learners valued art-based study (SES mean = 5.94 SD ±0.98; MED = 5.92 ± 1.05) and the "drawing on model" activity (SES = 6.33 ± 0.93; MED = 6.21 ± 0.94) and reported enhanced confidence in understanding of cardiac anatomy (5.61 ± 1.11), coronary arteries (6.03 ± 0.83), femur osteology (6.07 ± 1.07), and hip joint muscle actions (5.80 ± 1.20). Perceptions of learners were independent of both their sex and their art-based study preferences (p < 0.05). Themes constructed from free-text responses identified "interactivity," "topography," "transformative," and "visualization," as key elements of the approach, in addition to revealing some limitations. This work will have implications for anatomy educators seeking to engage learners in an inclusive, interactive, and effective learning activity for supporting three-dimensional anatomical understanding.

Machine Learning of Cardiac Anatomy and the Risk of New-Onset Atrial Fibrillation After TAVR

BackgroundNew-onset atrial fibrillation (NOAF) occurs in 5% to 15% of patients who undergo transfemoral transcatheter aortic valve replacement (TAVR). Cardiac imaging has been underutilized to predict NOAF following TAVR. ObjectivesThe objective of this analysis was to compare and assess standard, manual echocardiographic and cardiac computed tomography (cCT) measurements as well as machine learning–derived cCT measurements of left atrial volume index and epicardial adipose tissue as risk factors for NOAF following TAVR. MethodsThe study included 1,385 patients undergoing elective, transfemoral TAVR for severe, symptomatic aortic stenosis. Each patient had standard and machine learning–derived measurements of left atrial volume and epicardial adipose tissue from cardiac computed tomography. The outcome of interest was NOAF within 30 days following TAVR. We used a 2-step statistical model including random forest for variable importance ranking, followed by multivariable logistic regression for predictors of highest importance. Model discrimination was assessed by using the C-statistic to compare the performance of the models with and without imaging. ResultsForty-seven (5.0%) of 935 patients without pre-existing atrial fibrillation (AF) experienced NOAF. Patients with pre-existing AF had the largest left atrial volume index at 76.3 ± 28.6 cm3/m2 followed by NOAF at 68.1 ± 26.6 cm3/m2 and then no AF at 57.0 ± 21.7 cm3/m2 (P < 0.001). Multivariable regression identified the following risk factors in association with NOAF: left atrial volume index ≥76 cm2 (OR: 2.538 [95% CI: 1.165-5.531]; P = 0.0191), body mass index <22 kg/m2 (OR: 4.064 [95% CI: 1.500-11.008]; P = 0.0058), EATv (OR: 1.007 [95% CI: 1.000-1.014]; P = 0.043), aortic annulus area ≥659 mm2 (OR: 6.621 [95% CI: 1.849-23.708]; P = 0.004), and sinotubular junction diameter ≥35 mm (OR: 3.891 [95% CI: 1.040-14.552]; P = 0.0435). The C-statistic of the model was 0.737, compared with 0.646 in a model that excluded imaging variables. ConclusionsUnderlying cardiac structural differences derived from cardiac imaging may be useful in predicting NOAF following transfemoral TAVR, independent of other clinical risk factors.

SPReCHD: Four-Chamber Semantic Parsing Network for Recognizing Fetal Congenital Heart Disease in Medical Metaverse.

Echocardiography is essential for evaluating cardiac anatomy and function during early recognition and screening for congenital heart disease (CHD), a widespread and complex congenital malformation. However, fetal CHD recognition still faces many difficulties due to instinctive fetal movements, artifacts in ultrasound images, and distinctive fetal cardiac structures. These factors hinder capturing robust and discriminative representations from ultrasound images, resulting in CHD's low prenatal detection rate. Hence, we propose a multi-scale gated axial-transformer network (MSGATNet) to capture fetal four-chamber semantic information. Then, we propose a SPReCHD: four-chamber semantic parsing network for recognizing fetal CHD in the clinical treatment of the medical metaverse, integrating MSGATNet to segment and locate four-chamber arbitrary contours, further capturing distinguished representations for the fetal heart. Comprehensive experiments indicate that our SPReCHD is sufficient in recognizing fetal CHD, achieving a precision of 95.92%, a recall of 94%, an accuracy of 95%, and a F1 score of 94.95% on the test set, dramatically improving the fetal CHD's prenatal detection rate.