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PURPOSE: We sought to assess the feasibility, reproducibility, and accuracy of conventional and newer echocardiographic measures of right ventricular (RV) systolic function in adolescent and young adult childhood cancer survivors treated with anthracyclines. METHODS: Echocardiography and cardiac magnetic resonance imaging (CMR) were acquired ≤60 days apart in prospectively recruited survivors and RV functional measures were quantitated by blinded observers. Repeat quantitation was performed in a subset to evaluate reproducibility. For each echocardiographic measure, Spearman correlations with CMR measures were calculated, and values in participants with CMR RV ejection fraction (RVEF) ≥48% and RVEF <48% were compared using two sample Wilcoxon rank-sum tests. RESULTS: Among 58 participants, mean age was 18.2 years (range 13.1-25.2) and five participants had CMR RVEF <48%. Intra- and inter-observer coefficients of variation were 8.2%-10.1% and 10.5%-12.0% for adjusted automated strain measures, and 5.2%-8.7% and 2.7% for 3D RVEF, respectively. No echocardiographic measures were significantly correlated with CMR RVEF; only tricuspid annular plane systolic excursion was correlated with CMR RV stroke volume (r = .392, p = .003). Participants with RV dysfunction had worse automated global longitudinal strain (-20.3% vs. -23.9%, p = .007) and free wall longitudinal strain (-23.7% vs. -26.7%, p = .09). CONCLUSIONS: Echocardiographic strain and 3D RV function measurements were feasible and reproducible in at-risk childhood cancer survivors. Although not associated with CMR RVEF in this population with predominantly normal RV function, automated strain measurements were more abnormal in participants with RV dysfunction, suggesting potential clinical utility of these measures.

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PURPOSE: Echocardiography is considered essential during cannulation placement and manipulations. Literature evaluating transthoracic echocardiography (TTE) usage during pediatric VV-ECMO is scant. The purpose of this study is to describe the use of echocardiography during VV-ECMO at a large, quaternary children's hospital. METHODS: A retrospective, single-year cohort study was performed of pediatric patients on VV-ECMO via dual-lumen cannula at our institution from January 2019 through December 2019. For each echocardiogram, final cannula component (re-infusion port (ReP), distal tip, proximal port and distal port) positions were evaluated by one echocardiographer. For TTEs with ReP in the right atrium, two echocardiographers independently evaluated ReP direction using 2-point (Yes/No) and 4-point scales, which were semi-quantitative protocols using color Doppler images to estimate ReP jet direction to the tricuspid valve. Cohen's kappa or weighted kappa was used to measure interrater agreement. RESULTS: During study period, 11 patients (64% male) received VV-ECMO with 49 TTEs and one transesophageal echocardiogram performed. The median patient age was 4.3 years [IQR: 1.1-11.5] and median VV-ECMO run time of 192 h [90-349]. The median time between TTEs on VV-ECMO was 34 h [8.3-65]. Most common position for the ReP was the right atrium (n = 33, 67%), and ReP location was not identified in five TTEs (10%). For ReP flow direction, echocardiographers agreed on 82% of TTEs using 2-point evaluation. There was only moderate agreement between echocardiographers on the 2-point and 4-point assessments (k = .54, kw = .46 respectively). CONCLUSIONS: TTE is the predominant cardiac ultrasound modality used during VV-ECMO for pediatric respiratory failure. Subjective evaluation of VV-ECMO ReP jet direction in the right atrium is challenging, regardless of assessment method.

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PURPOSE: The traditional method for measuring left atrial volume (LAV) involves manual tracing. Recently, semi-automated techniques for measuring LAV, based on 2D speckle tracking echocardiography (STE) and 3D echocardiography (3DE), have become commercially available. This study aimed to investigate the efficiency and feasibility of these semi-automated software methods for LAV measurement in pediatric patients. METHODS: We analyzed 207 pediatric patients with 2D and 3D echocardiographic images of the left atrium. The maximum LAV was measured using three techniques: (1) manual tracing, (2) STE-based semi-automated measurement, and (3) 3DE-based semi-automated measurement. We compared both LAV and the time required for LAV measurement among these three techniques. Intra- and inter-observer reproducibility of the LAV measurements was assessed using the intraclass correlation (ICC). RESULTS: There was no difference in the LAV between the manual tracing and the STE-based method, but the LAV measured by 3DE-based method was slightly smaller than manual tracing. The measurement time was 32.6 ± 3.5, 53.8 ± 10.8, and 33.8 ± 13.0 s for manual tracing, STE-based, and 3DE-based techniques, respectively. There was no difference the time for LAV measurement between the manual tracing and the 3D-based technique. The agreement and ICC for intra-observer reproducibility was similar across all three techniques, but inter-observer reproducibility was superior with the 3DE-based technique. CONCLUSIONS: Although the maximum LAV obtained through the 3DE-based techniques was slightly smaller compared with the traditional manual tracing method, the 3DE-based technique is anticipated to be integrated into routine examinations owing to its short measurement time and superior reproducibility.

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Double inlet left ventricle (DILV) is a form of single ventricle heart disease where both atrioventricular valves enter a single left ventricle. Surgical intervention may be needed in the neonatal period secondary to systemic outflow tract obstruction or less commonly pulmonary obstruction. Two-dimensional echocardiography can adequately assess newborn anatomy and define the need for surgery. Beyond the newborn period, there is a renewed interest in septation of DILV using intracardiac baffles in a staged approach. Cross sectional imaging can aid in surgical planning. This article will review common anatomic features of DILV and imaging considerations for both single ventricle palliation and DILV septation.

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BACKGROUND: The complexity of congenital heart disease has been primarily stratified on the basis of surgical technical difficulty, specific diagnoses, and associated outcomes. We report on the refinement and validation of a pediatric echocardiography complexity (PEC) score. METHODS AND RESULTS: The American College of Cardiology Quality Network assembled a panel from 12 centers to refine a previously published PEC score developed in a single institution. The panel refined complexity categories and included study modifiers to account for complexity related to performance of the echocardiogram. Each center submitted data using the PEC scoring tool on 15 consecutive inpatient and outpatient echocardiograms. Univariate and multivariate analyses were performed to assess for independent predictors of longer study duration. Among the 174 echocardiograms analyzed, 68.9% had underlying congenital heart disease; 44.8% were outpatient; 34.5% were performed in an intensive care setting; 61.5% were follow-up; 46.6% were initial or preoperative; and 9.8% were sedated. All studies had an assigned PEC score. In univariate analysis, longer study duration was associated with several patient and study variables (age <2 years, PEC 4 or 5, initial study, preoperative study, junior or trainee scanner, and need for additional imaging). In multivariable analysis, a higher PEC score of 4 or 5 was independently associated with longer study duration after controlling for study variables and center variation. CONCLUSIONS: The PEC scoring tool is feasible and applicable in a variety of clinical settings and can be used for correlation with diagnostic errors, allocation of resources, and assessment of physician and sonographer effort in performing, interpreting, and training in pediatric echocardiography.

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Extracorporeal membrane oxygenation (ECMO) is an invasive life support technique that requires a blood pump, an artificial membrane lung, and vascular cannulae to drain de-oxygenated blood, remove carbon dioxide, oxygenate, and return it to the patient. ECMO is generally used to provide advanced and prolonged cardiopulmonary support in patients with refractory acute cardiac and/or respiratory failure. After its first use in 1975 to manage a severe form of meconium aspiration syndrome with resultant pulmonary hypertension, the following years were dominated by the use of ECMO to manage neonatal respiratory failure and limited to a few centers across the world. In the 1990s, evidence for neonatal respiratory ECMO support increased; however, the number of cases began to decline with the use of newer pharmacologic therapies (e.g., inhaled nitric oxide, exogenous surfactant, and high-frequency oscillatory ventilation). On the contrary, pediatric ECMO sustained steady growth. Combined advances in ECMO technology and bedside medical management have improved general outcomes, although ECMO-related complications remain challenging. Point-of-care ultrasound (POCUS) is an essential tool to monitor all phases of neonatal and pediatric ECMO: evaluation of ECMO candidacy, ultrasound-guided ECMO cannulation, daily evaluation of heart and lung function and brain perfusion, detection and management of major complications, and weaning from ECMO support.  Conclusion: Based on these considerations and on the lack of specific guidelines for the use of POCUS in the neonatal and pediatric ECMO setting, the aim of this paper is to provide a systematic overview for the application of POCUS during ECMO support in these populations. What is Known: • Extracorporeal membrane oxygenation (ECMO) provides advanced cardiopulmonary support for patients with refractory acute cardiac and/or respiratory failure and requires appropriate monitoring. • Point-of-care ultrasound (POCUS) is an accessible and adaptable tool to assess neonatal and pediatric cardiac and/or respiratory failure at bedside. What is New: • In this review, we discussed the use of POCUS to monitor and manage at bedside neonatal and pediatric patients supported with ECMO. • We explored the potential use of POCUS during all phases of ECMO support: pre-ECMO assessment, ECMO candidacy evaluation, daily evaluation of heart, lung and brain function, detection and troubleshooting of major complications, and weaning from ECMO support.

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Dextrocardia, a rare congenital heart condition, can occur in about 1 out of every 12,000 pregnancies. Dextrocardia with situs solitus refers to when the heart is on the right side of the thorax while other viscera are found in their normal positions. The condition can go unnoticed in cases of limited prenatal care and newborn evaluation, leading to patients never receiving pertinent cardiac evaluations and condition progression monitoring throughout their lives. This is the first case reported of isolated dextrocardia with situs solitus in a neonate without any additional cardiovascular abnormalities. This case report highlights the importance of prenatal and postnatal evaluation to ensure the identification of neonates with dextrocardia and improve their quality of life and outcomes.

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Accurate segmentation of pediatric echocardiograms is a challenging task, because significant heart-size changes with age and faster heart rate lead to more blurred boundaries on cardiac ultrasound images compared with adults. To address these problems, a dual decoder network model combining channel attention and scale attention is proposed in this paper. Firstly, an attention-guided decoder with deep supervision strategy is used to obtain attention maps for the ventricular regions. Then, the generated ventricular attention is fed back to multiple layers of the network through skip connections to adjust the feature weights generated by the encoder and highlight the left and right ventricular areas. Finally, a scale attention module and a channel attention module are utilized to enhance the edge features of the left and right ventricles. The experimental results demonstrate that the proposed method in this paper achieves an average Dice coefficient of 90.63% in acquired bilateral ventricular segmentation dataset, which is better than some conventional and state-of-the-art methods in the field of medical image segmentation. More importantly, the method has a more accurate effect in segmenting the edge of the ventricle. The results of this paper can provide a new solution for pediatric echocardiographic bilateral ventricular segmentation and subsequent auxiliary diagnosis of congenital heart disease.

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Background Blood speckle tracking echocardiography allows for direct quantification of interventricular and aortic flow profiles, principally in children. Here, we sought to demonstrate the feasibility and reproducibility of blood speckle tracking echocardiography in the aortas of healthy children. Methods and Results One hundred healthy White children evaluated for the screening of congenital heart disease were prospectively enrolled. Echocardiographic examinations were performed using a Vivid E 95 ultrasound system, with blood speckle tracking from a focused and zoomed view of the aortic root and the ascending aorta. Vortex position, height (mm), width (mm), sphericity index, and area (cm2) were measured and indexed by body surface area. Median (interquartile range) age was 8.2 (5.6-11.0) years, median (interquartile range) weight was 28 (19-35) kg, and median (interquartile range) body surface area was 1.01 (0.79-1.16) m2. Vortices were visualized in only a single phase of the cardiac cycle in 25 subjects-14 (56.0%) were evident in early diastole and 11 (44.0%) in late systole. Vortices visualized in diastole had a mean area of 0.27±0.1 cm2/m2, while those in systole had a mean area of 0.34±0.12 cm2/m2. In a subset of 20 patients, inter- and intraobserver coefficient of variation and intraclass correlation coefficients were determined and showed good reproducibility. Conclusions We demonstrate feasibility and reproducibility of blood speckle tracking and identified vortical flow patterns in the aortic root and ascending aorta in healthy children. These data may serve as a baseline for evaluating aortic flow patterns in children with congenital and acquired heart disease.

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Accurate segmentation of pediatric echocardiograms is a challenging task, because significant heart-size changes with age and faster heart rate lead to more blurred boundaries on cardiac ultrasound images compared with adults. To address these problems, a dual decoder network model combining channel attention and scale attention is proposed in this paper. Firstly, an attention-guided decoder with deep supervision strategy is used to obtain attention maps for the ventricular regions. Then, the generated ventricular attention is fed back to multiple layers of the network through skip connections to adjust the feature weights generated by the encoder and highlight the left and right ventricular areas. Finally, a scale attention module and a channel attention module are utilized to enhance the edge features of the left and right ventricles. The experimental results demonstrate that the proposed method in this paper achieves an average Dice coefficient of 90.63% in acquired bilateral ventricular segmentation dataset, which is better than some conventional and state-of-the-art methods in the field of medical image segmentation. More importantly, the method has a more accurate effect in segmenting the edge of the ventricle. The results of this paper can provide a new solution for pediatric echocardiographic bilateral ventricular segmentation and subsequent auxiliary diagnosis of congenital heart disease.

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Transthoracic echocardiography (TTE) is an essential tool for diagnosis and management of congenital heart disease. Pediatric echocardiography presents unique challenges including complex anatomy, variable patient cooperation and provider expertise. Diagnostic errors inevitably occur. We designed a collaborative and stepwise quality improvement (QI) process to address diagnostic errors within our laboratory. We retrospectively reviewed medical records to identify diagnostic TTE errors in 100 consecutive cardiac surgery patients ≤ 5 years old (July 2020-January 2021). We identified 18 diagnostic errors. Most errors had minor impact (14/18), and 13 were preventable or possibly preventable. We presented these results to our sonographers and faculty and requested input on preventing and managing diagnostic errors. Our root cause analysis based on their responses yielded 7 areas for improvement (imaging, reporting, systems, time, environment, people, QI processes). Our faculty and sonographers chose QI processes and imaging as initial areas for intervention. We defined our SMART goal as a 10% reduction in diagnostic errors. We implemented interventions focused on QI processes. On initial follow up in May 2022, we identified 7 errors in 70 patients (44% reduction in error rate). Utilizing a stepwise and team-based approach, we successfully developed QI initiatives in our echocardiography laboratory. This approach can serve as a model for a collaborative QI process in other institutions.

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The task of automatic segmentation and measurement of key anatomical structures in echocardiography is critical for subsequent extraction of clinical parameters. However, the influence of boundary blur, speckle noise, and other factors increase the difficulty of fully automatically segmenting 2D ultrasound images. The previous research has addressed this challenge using convolutional neural networks (CNN), which fails to consider global contextual information and long-range dependency. To further improve the quantitative analysis of pediatric echocardiography, this paper proposes an interactive fusion transformer network (IFT-Net) for quantitative analysis of pediatric echocardiography, which achieves the bidirectional fusion between local features and global context information by constructing interactive learning between the convolution branch and the transformer branch. First, we construct a dual-attention pyramid transformer (DPT) branch to model the long-range dependency from spatial and channels and enhance the learning of global context information. Second, we design a bidirectional interactive fusion (BIF) unit that fuses the local and global features interactively, maximizes their preservation and refines the segmentation. Finally, we measure the clinical anatomical parameters through key point positioning. Based on the parasternal short-axis (PSAX) view of the heart base from pediatric echocardiography, we segment and quantify the right ventricular outflow tract (RVOT) and aorta (AO) with promising results, indicating the potential clinical application. The code is publicly available at: https://github.com/Zhaocheng1/IFT-Net.

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BACKGROUND: Left ventricular (LV) volumes, ejection fraction (EF), and myocardial strain have been shown to be predictive of clinical and subclinical heart disease. Automation of LV functional assessment overcomes difficult technical challenges and complexities. We sought to assess whether a fully automated assessment of LV function could be reliably used in children and young adults. METHODS: Fifty normal volunteers (22/28, female/male) were prospectively recruited for research echocardiography. LV volumes, EF, and strain were measured both manually and automatically. An experienced sonographer performed all the manual analysis and recorded the analysis timing. The fully automated analyses were accomplished by 5 groups of observers with different knowledge and medical background. AutoLV and AutoSTRAIN (TomTec) were employed for the fully automated LV analysis. The LV volumes, EF, strain, and analysis time were compared between manual and automated methods, and among the 5 groups of observers. RESULTS: Software-determined endocardial border detection was achievable in all subjects. The analysis times of the experienced sonographer were significantly shorter for AutoLV and AutoSTRAIN than manual analyses (both p < 0.001). Strong correlations were seen between conventional EF and AutoLV (r = 0.8373), and between conventional three view global longitudinal strain (GLS) and AutoSTRAIN (r = 0.9766). The volumes from AutoLV and three view GLS from AutoSTRAIN had strong correlations among different observers regardless of level of expertise. EF from AutoLV analysis had moderately strong correlations among different observers. CONCLUSION: Automated pediatric LV analysis is feasible in normal hearts. Machine learning-enabled image analysis saves time and produces results that are comparable to traditional methods.

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Echocardiography has evolved the first-line imaging for diagnosis and management of pediatric and congenital heart disease all over the world. While it recognized as essential component of pediatric cardiac care delivery, organization of pediatric echocardiography services is very heterogeneous across the world, mainly related to significant differences in material and human resources in heterogeneous health care systems. In this paper, we focus on the role of pediatric sonographers, defined as expert technicians in pediatric echocardiography. While in some services sonographers are an essential part of the organizational structure, other laboratories operate only with physicians trained in echocardiography. The impact of sonographers on clinical, academic and financial performance will be discussed. Two organizational models (with and without sonographers) will be compared, and the advantages and disadvantages of each model will be evaluated. Different models of care provision are possible and decisions on organizational models need to be adjusted to the demands and available resources.

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Background: Structural heart disease is a major cause of morbidity and mortality in children. Echocardiography is accepted as the first line cost-effective diagnostic modality for pre-operative assessment of children with structural heart diseases. Two-dimensional transthoracic echocardiography (2-D TTE) may be the only diagnostic tool in a resource-poor environment where further investigations may be very expensive and not readily available. Aim: The aim of the study is to determine the degree of accuracy of pre-operative 2-D echocardiographic diagnosis with eventual surgical (intra-operative) findings among children with structural heart diseases with a view to audit the echocardiographic diagnoses and final surgical diagnoses among the patients in the University of Nigeria Teaching Hospital Ituku-Ozalla Enugu, a tertiary cardiothoracic center in Enugu, South-east Nigeria. Patients and Methods: 2-D TEE (GE Model) diagnosis of all the children that had cardiac surgery at University of Nigeria Teaching Hospital (UNTH) Ituku/Ozalla Enugu over a 3-year period was studied. All the patients had at least two echocardiographic sessions and results were recorded in a proforma. Surgical findings were obtained from post-operative surgical notes. Intra-operative findings were compared with 2-D TTE findings. Data were analyzed using SPSS version 20. The degree of accuracy was expressed as percentages. The relationship between the sensitivity of 2-D TTE and intra-operative findings as ascertained using sensitivities and positive predictive values. Results: There were 55 pediatric cardiac operations performed within the period under review. There were 22 males and 23 females, the age range was from 8 months to 17 years. Fifty-two (94.5%) were due to congenital heart diseases, whereas three (5.5%) were due to acquired heart diseases. Echocardiographic findings were the same as surgical findings in all isolated PDAs (100%), Isolated ASDs (100%), Mitral valve regurgitation three (100%), but missed out PDA as an associated finding in a case of sub-aortic VSD (7.7%) and an ASD in a case of TOF (5.9%), congenital absence of tricuspid valve was also missed as a component of complex cardiac anomaly one (1.1%). These omissions however did not change the surgical approach and outcome. Pre-operative echocardiographic diagnoses and eventual surgical diagnoses were largely concordant. The sensitivity of 2-D TTE and intra-operative findings is 94.5%, positive predictive value is 94.5%, and the false negative rate is 5.5%. Conclusion: Echocardiography is a veritable diagnostic tool in the pre-operative evaluation of children with structural heart diseases. Continuous training and re-training are key in skill development and capacity building in resource-poor countries.

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Artificial intelligence (AI) is frequently used in non-medical fields to assist with automation and decision-making. The potential for AI in pediatric cardiology, especially in the echocardiography laboratory, is very high. There are multiple tasks AI is designed to do that could improve the quality, interpretation, and clinical application of echocardiographic data at the level of the sonographer, echocardiographer, and clinician. In this state-of-the-art review, we highlight the pertinent literature on machine learning in echocardiography and discuss its applications in the pediatric echocardiography lab with a focus on automation of the pediatric echocardiogram and the use of echo data to better understand physiology and outcomes in pediatric cardiology. We also discuss next steps in utilizing AI in pediatric echocardiography.

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Global myocardial work (GMW) is an emerging method to characterize left ventricle (LV) function with potential advantages over both ejection fraction and global longitudinal strain (GLS). We aimed to determine the feasibility and reproducibility for echocardiographic-derived GMW in a healthy pediatric population; establish normal reference values; and investigate the influence of age, gender, and other clinical factor on normal reference ranges. We prospectively enrolled 212 individuals (median age of 9 years; interquartile range, 6 to 12 years, 112 female). Global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE) were measured from LV pressure-strain loops. Quantification of GMW was performed using a GE Vivid E95 system and available software package (Echopac V.203, GE). The mean LV EF was 64 ± 3% with GLS of -21.3 ± 1.5%. GWI was 1688 ± 219 mmHg% with mean GWE of 96.5 ± 1.4%. The GCW was 1959 ± 207 mmHg%, and the mean GWW of 61.1 ± 30.9 mmHg%. No significant difference was found in MW indices across age group and gender (p > 0.05 for all). There were significant correlations between both GWI and GCW with GLS and systolic blood pressure (p < 0.001), but not with GWE and GWW. Linear regression model revealed that GWI and GCW were more closely correlated with systolic blood pressure than GLS. LV MW indices had good intra-observer and inter-observer reproducibility. This study establishes both the feasibility and reference ranges for non-invasive echocardiographic indices of GMW in healthy children. Myocardial work appears to be a complementary modality to assess LV performance in children.

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The pediatric appropriate use criteria (AUC) were applied to transthoracic echocardiograms (TTE) ordered by primary care providers (PCPs) and pediatric cardiologists for the diagnosis of syncope to compare appropriateness ratings and cost-effectiveness. Included were patients ≤18 years of age from October 2016 to October 2018 with syncope who underwent initial outpatient pediatric TTE ordered by a PCP or were seen in Pediatric Cardiology clinic. Ordering rate of TTE by pediatric cardiologists, AUC classification, and TTE findings were obtained. PCPs ordered significantly more TTEs than pediatric cardiologists for "rarely appropriate" indications (61.5% vs 7.5%, P < .001). Cardiologists ordered TTEs at 17.2% of visits. Using appropriateness as a marker of effect, with the incremental cost-effectiveness ratio, it was more cost-effective ($543.33 per patient) to refer to a pediatric cardiologist than to order the TTE alone. This suggests that improved PCP education of the AUC and appropriate indications of TTEs for syncope may improve cost-effectiveness when using order appropriateness as a marker of effectiveness.

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Myocardial injury following blunt chest trauma may be difficult to detect. We advocate for cardiac screening in such scenarios. Observation versus intervention should be based on symptoms and the degree of intracardiac disease.