Types Of Congenital Heart Disease Research Articles

Tachyarrhythmias in congenital heart disease.

The prevalence of congenital heart disease (CHD) in adult patients has risen with advances in diagnostic and surgical techniques. Surgical modifications and hemodynamic changes increase the susceptibility to arrhythmias, impacting morbidity and mortality rates, with arrhythmias being the leading cause of hospitalizations and sudden deaths. Patients with CHD commonly experience both supraventricular and ventricular arrhythmias, with each CHD type associated with different arrhythmia patterns. Macroreentrant atrial tachycardias, particularly cavotricuspid isthmus-dependent flutter, are frequently reported. Ventricular arrhythmias, including monomorphic ventricular tachycardia, are prevalent, especially in patients with surgical scars. Pharmacological therapy involves antiarrhythmic and anticoagulant drugs, though data are limited with potential adverse effects. Catheter ablation is preferred, demanding meticulous procedural planning due to anatomical complexity and vascular access challenges. Combining imaging techniques with electroanatomic navigation enhances outcomes. However, risk stratification for sudden death remains challenging due to anatomical variability. This article practically reviews the most common tachyarrhythmias, treatment options, and clinical management strategies for these patients.

Deep learning-based differentiation of ventricular septal defect from tetralogy of Fallot in fetal echocardiography images.

Congenital heart disease (CHD) seriously affects children's health and quality of life, and early detection of CHD can reduce its impact on children's health. Tetralogy of Fallot (TOF) and ventricular septal defect (VSD) are two types of CHD that have similarities in echocardiography. However, TOF has worse diagnosis and higher morality than VSD. Accurate differentiation between VSD and TOF is highly important for administrative property treatment and improving affected factors' diagnoses. TOF and VSD were differentiated using convolutional neural network (CNN) models that classified fetal echocardiography images. We collected 105 fetal echocardiography images of TOF and 96 images of VSD. Four CNN models, namely, VGG19, ResNet50, NTS-Net, and the weakly supervised data augmentation network (WSDAN), were used to differentiate the two congenital heart diseases. The performance of these four models was compared based on sensitivity, accuracy, specificity, and AUC. VGG19 and ResNet50 performed similarly, with AUCs of 0.799 and 0.802, respectively. A superior performance was observed with NTS-Net and WSDAN specific for fine-grained image categorization tasks, with AUCs of 0.823 and 0.873, respectively. WSDAN had the best performance among all models tested. WSDAN exhibited the best performance in differentiating between TOF and VSD and is worthy of further clinical popularization.

Non-contrast free-breathing 2D CINE compressed SENSE T1-TFE cardiovascular MRI at 3T in sedated young children for assessment of congenital heart disease.

Cardiac MRI is a crucial tool for assessing congenital heart disease (CHD). However, its application remains challenging in young children when performed at 3T. The aim of this retrospective single center study was to compare a non-contrast free-breathing 2D CINE T1-weighted TFE-sequence with compressed sensing (FB 2D CINE CS T1-TFE) with 3D imaging for diagnostic accuracy of CHD, image quality, and vessel diameter measurements in sedated young children. FB 2D CINE CS T1-TFE was compared with a 3D non-contrast whole-heart sequence (3D WH) and 3D contrast-enhanced MR angiography (3D CE-MRA) at 3T in 37 CHD patients (20♂, 1.5±1.4 years). Two radiologists independently assessed image quality, type of CHD, and diagnostic confidence. Diameters and measures of contrast and sharpness of the aorta and pulmonary vessels were determined. A non-parametric multi-factorial approach was used to estimate diagnostic accuracy for the diagnosis of CHD. Linear mixed models were calculated to compare contrast and vessel sharpness. Krippendorff's alpha was determined to quantify vessel diameter agreement. FB 2D CINE CS T1-TFE was rated superior regarding image quality, diagnostic confidence, and diagnostic sensitivity for both intra- and extracardiac pathologies compared to 3D WH and 3D CE-MRA (all p<0.05). FB 2D CINE CS T1-TFE showed superior contrast and vessel sharpness (p<0.001) resulting in the highest proportion of measurable vessels (740/740; 100%), compared to 3D WH (530/620; 85.5%) and 3D CE-MRA (540/560; 96.4%). Regarding vessel diameter measurements, FB 2D CINE CS T1-TFE revealed the closest inter-reader agreement (Krippendorff's alpha: 0.94-0.96; 3D WH: 0.78-0.94; 3D CE-MRA: 0.76-0.93). FB 2D CINE CS T1-TFE demonstrates robustness at 3T and delivers high-quality diagnostic results to assess CHD in sedated young children. Its ability to function without contrast injection and respiratory compensation enhances ease of use and could encourage widespread adoption in clinical practice.

Maternal Gestational Diabetes Mellitus and Congenital Heart Disease in Offspring: A Meta-Analysis.

Maternal diabetes has been related to an increased risk of congenital heart disease (CHD) in offspring. However, inconsistent results were retrieved for studies evaluating the association between gestational diabetes mellitus (GDM) and CHD in offspring. We therefore performed a systematic review and meta-analysis for comprehensive investigation. Observational studies were identified by searching PubMed, Embase, and Web of Science according to the aim of the meta-analysis. A randomized-effects model was used to pool the data by incorporating the influence of potential heterogeneity. Twenty-three observational studies, involving 46953078 mother-child pairs, were available for the meta-analysis. Among them, 2131800 mothers were diagnosed as GDM and 214379 newborns had CHD. Overall, maternal GDM was associated with a higher incidence of CHD in offspring [odds ratio (OR): 1.32, 95% confidence interval (CI): 1.21 to 1.45, p<0.001; I2=62%]. Sensitivity analysis limited to studies with adjustment of maternal age and other potential confounding factors showed similar results (OR: 1.40, 95% CI: 1.30 to 1.51, p<0.001; I2=47%). Subgroup analysis suggested that the association between maternal GDM and CHD in offspring was not significantly affected by methods for diagnosis of GDM, methods for confirmation of CHD, or study quality scores (p for subgroup difference all>0.05). Subsequent analysis according to types of CHD showed that maternal GDM was associated with higher risks of atrial septal defect, ventricular septal defect, and Tetralogy of Fallot. Maternal GDM may be associated with a higher risk of CHD in offspring.

Intracardiac echocardiography in paediatric and congenital cardiac ablation shortens procedure duration and improves success without complications.

Common to adult electrophysiology studies (EPSs), intracardiac echocardiography (ICE) use in paediatric and congenital heart disease (CHD) EPS is limited. The purpose of this study was to assess the efficacy of ICE use and incidence of associated complications in paediatric and CHD EPS. This single-centre retrospective matched cohort study reviewed EPS between 2013 and 2022. Demographics, CHD type, and EPS data were collected. Intracardiac echocardiography cases were matched 1:1 to no ICE controls to assess differences in complications, ablation success, fluoroscopy exposure, procedure duration, and arrhythmia recurrence. Cases and controls with preceding EPS within 5 years were excluded. Intracardiac echocardiography cases without an appropriate match were excluded from comparative analyses but included in the descriptive cohort. We performed univariable and multivariable logistic regression to assess associations between variables and outcomes. A total of 335 EPS were reviewed, with ICE used in 196. The median age of ICE cases was 15 [interquartile range (IQR) 12-17; range 3-47] years, and median weight 57 [IQR 45-71; range 15-134] kg. There were no ICE-related acute or post-procedural complications. There were 139 ICE cases matched to no ICE controls. Baseline demographics and anthropometrics were similar between cases and controls. Fluoroscopy exposure (P = 0.02), procedure duration (P = 0.01), and arrhythmia recurrence (P = 0.01) were significantly lower in ICE cases. Intracardiac echocardiography in paediatric and CHD ablations is safe and reduces procedure duration, fluoroscopy exposure, and arrhythmia recurrence. However, not every arrhythmia substrate requires ICE use. Thoughtful selection will ensure the judicious and strategic application of ICE to enhance outcomes.

Outlet Ventricular Septal Defect: A Case Report on the Importance of Multi-Window Sonographic Assessment

Congenital heart disease (CHD) is the existence of structural heart problems since the formation of the heart prebirth. There are different categories of CHD, all having their own unique frequency and severity characteristics. One type of CHD is a ventricular septal defect (VSD), more specifically outlet VSD. A VSD is the most common congenital heart defect; however, their presentation can be quite complex. Color and spectral Doppler transthoracic echocardiography (TTE) are valuable tools used in the diagnosis of VSDs. The often-challenging presentation of these defects requires sonographers to confirm their existence through the parasternal long-axis, parasternal short-axis, apical four chamber, apical three chamber, and apical five chamber scanning windows. Although VSDs are the most common congenital heart defect, their wide-ranging uniqueness and location along the interventricular septum (IVS) to assess all areas along the IVS on all exams, specifically those that demonstrate left-to-right shunting. The objective of this case report was to stress the importance of multi-window assessment during the sonographer’s interrogation of outlet VSDs, due to the potential implications on adjacent anatomy and the potential for surgical intervention.

High-Sensitivity Cardiac Troponin and the Management of Congenital Heart Disease in Newborns and Infants.

Early cardiac interventions in newborns and infants suspected for congenital heart disease (CHD) decrease morbidity and mortality. After updating current evidence on the use of cardiac troponins (cTn) in the context of CHD for risk stratification at early ages, we discuss relevant issues, starting from the evidence that only the measurement of the cTnT form is useful in this population. In newborns/infants with CHD, the cTnT concentration increase is correlated with: (a) cardiac stress and hemodynamic parameters, but not with the type of CHD; (b) volume overload/right ventricular pressure overload; (c) postoperative hypoperfusion injury and mortality; and (d) effects of cardioprotective strategies. For infants with CHD, high-sensitivity cTnT (hs-cTnT) concentrations >25 ng/L are an independent predictor of poor outcomes. Transitioning from cTnT to hs-cTnT in newborns/infants improves the identification of: (a) physiopathological mechanisms and factors that increased hs-cTnT early after birth; (b) myocardial injury, even when subclinical; (c) identification of patients requiring immediate therapeutic interventions; and (d) 99th percentile upper reference limits (URLs). However, no reliable URLs are currently available to allow the detection of myocardial injury associated with CHD in newborns/infants. Additional data evaluating the clinical value of hs-cTnT in the risk stratification of newborns/infants with CHD who may suffer myocardial injury is needed. Validating the measurement, possibly in amniotic fluid samples, and improving the interpretation of hs-cTnT concentrations in the prenatal period, at birth and within 1 year of age are crucial to change CHD mortality/morbidity trends in the pediatric population.

Frontal Lobe Growth impairment in fetuses with congenital heart disease using Ultrasound parameters; A Comparative Cross-sectional study

Introduction and the Αim: 2D and 3D biometry measures can record the increased development of the fetal brain in the later part of gestation. The objective of this study is to determine whether or not the frontal brain regions of fetuses with congenital heart disease (CHD) are smaller than those of healthy controls. Patients and Μethods: The fetal Medicine unit of the Ain Shams University Maternity Hospital carried out a comparative cross-sectional study, including 140 normal fetuses and 140 fetuses with isolated CHD evaluated between 20 and 39 gestational weeks at our fetal medicine unit in the period November 2021–September 2023 Results: Our results showed the occipito-frontal diameter (OFD) and frontal antero-posterior diameter (FAPD) utilising ultrasonography. FAPD Mean±SD: 26.53 ± 10.44, OFD Mean±SD: 89.14 ± 28.34, and FAPD/OFD Mean±SD: 0.29 ± 0.05. The OFD Mean±SD was found to be 82.18 ± 18.42, the FAPD Mean±SD to be 31.68±6.58, and the FAPD/OFD Mean±SD to be 38.70±2.15. Our results showed that 0.7% of patients exhibited anomalies related to the central nervous system, such as dilated posterior fossa, vermis = 25 mm, and aberrant posterior cranial fossa. The percentage of those with a history of CHD was 3.9%.The history of CHD showed a statistically significant difference between the research groups. When examining comorbidities, surgical history, and the relationship between the other parameters and FAPD, OFD, and FAPD/OFD, there was no statistically significant difference between the groups under investigation, except for CNS abnormalities and gestational age. Conclusion, compared to normal fetuses, fetuses with CHD had shorter FAPDs and a lower FAPD/OFD ratio. Despite the fact that different types of CHD affect hemodynamics differently, there appears to be a common deficiency in the development of the frontal cortex.

Executive Function in Preschool Children with Congenital Heart Disease and Controls: The Role of a Cognitively Stimulating Home Environment

ObjectivesTo assess the relationships between (1) environmental and demographic factors and executive function (EF) in preschool children with congenital heart disease (CHD) and controls and (2) clinical and surgical risk factors and EF in preschool children with CHD. Study DesignAt 4-6 years of age, parents of children with CHD (n=51) and controls (n=124) completed the BRIEF-P questionnaire and the Cognitively Stimulating Parenting Scale (CSPS). Multivariable general linear modelling assessed the relationship between BRIEF-P composite scores (Inhibitory Self-Control Index [ISCI], Flexibility Index [FI], and Emergent Metacognition Index [EMI]) and group (CHD/control), sex, age at assessment, gestational age (GA), index of multiple deprivation (IMD) and CSPS scores. The relationships between CHD type, surgical factors and brain MRI injury rating (BIR) and ISCI, FI, and EMI scores were assessed. ResultsPresence of CHD, age at assessment, sex, and IMD were not associated with EF scores. Lower GA was associated with higher ISCI and FI scores, and age at assessment was associated with lower FI scores. Group significantly moderated the relationship between CSPS and EF, such that CSPS significantly predicted EF in children with CHD (ISCI: p=0.0004; FI: p=0.0015; EMI: p=0.0004) but not controls (ISCI: p=0.2727; FI: p=0.6185; EMI: p=0.3332). There were no significant relationships between EF scores and surgical factors, CHD type, or BIR. ConclusionsSupporting parents to provide a cognitively stimulating home environment may improve EF in children with CHD. The home and parenting environment should be considered when designing intervention studies aimed at improving EF in this patient group.

Prenatal Diagnosis of Congenital Heart Disease and Voluntary Termination of Pregnancy: A Population-Based Study in Qingdao, China.

The outcomes of fetuses with isolated congenital heart disease (CHD) diagnosed prenatally have not been investigated in a population-based study in China. This population-based study aimed to evaluate the rate of voluntary termination of pregnancy after the prenatal diagnosis of isolated CHD in Qingdao, China. This was a population-based retrospective study in which data were collected from all pregnant women in Qingdao (eastern China) from August 2018 to July 2020; fetal data, maternal data and data on pregnancy outcomes were extracted from medical records regarding prenatal diagnosis of CHD. The inclusion criteria were as follows: pregnant women or their husbands who had a household registration in Qingdao and who underwent regular prenatal screening in Qingdao. The exclusion criterion was the failure to sign an informed consent form. Counseling for all parents of fetuses with CHD was provided by a multidisciplinary team of experienced pediatric cardiologists, obstetricians, geneticists, etc. According to the type and severity of CHD, the pregnancy termination rate was analyzed. Among the 126,843 pregnant women, 1299 fetuses with a prenatal diagnosis of CHD were included in the study. Among the included fetuses, 1075 were diagnosed with isolated CHD, and the overall pregnancy termination rate was 22.8%. Termination rates varied according to the complexity of CHD (low complexity vs moderate complexity, P=0.000; low complexity vs high complexity, P=0.000; moderate complexity vs high complexity, P=0.000), with rates of 6.0% for low complexity, 54.2% for moderate complexity, and 99.1% for high complexity. The decision to terminate the pregnancy in cases of isolated CHD was unrelated to maternal age (P=0.091) but was related to gestational age (p=0.000). In Qingdao, 99.1% of parents whose fetuses were diagnosed with isolated high-complexity CHD chose to voluntarily terminate the pregnancy. The pregnancy termination rate increased with increasing complexity of prenatally diagnosed CHD.

Association between type of congenital heart disease with child growth and development status: A cross-sectional study in Medan, Indonesia.

Congenital heart disease (CHD) is a congenital disorder primarily affecting newborns and children. Children with CHD have a greater risk of experiencing growth delays or disorders compared to healthy children. CHD also affects various aspects of a child's development. The aim of this study was to determine the association of CHD types (cyanotic and acyanotic) with the growth and development status of children. A cross-sectional study was conducted among CHD patients at a national reference hospital in Sumatra, H. Adam Malik General Hospital in Medan, Indonesia. The children's growth status was assessed using the WHO growth chart, and the developmental condition was evaluated through the Denver Developmental Screening Test-II. Chi-squared test and Fisher's exact test were used to assess the association between the type of CHD with growth and development status in children. Using a consecutive sampling method, a total of 53 individuals were included in this study. Almost half of CHD patients (48.1%) were within the age group of 0-2 years and more than half (61.1%) were girls. Acyanotic CHD (74.1%) was more prevalent than cyanotic CHD (25.9%), with ventricular septum defect (VSD) as the most common diagnosis. A total of 37% of children with CHD suffered from malnutrition, whereas the remaining 62.9% had good nutrition. The Denver Developmental Screening Test-II indicated that 81.4% of the children were normal, whereas 18.5% had developmental disorders. Our data suggested a significant association between cyanotic CHD and poor growth status in children based on weight-for-age, weight-for-length, and body mass index (BMI)-for-age. However, there was no association between the type of CHD and developmental status in children. This study highlights that the type of CHD is significantly associated with the growth status of children, but not with their developmental status.

Transcriptome studies of congenital heart diseases: identifying current gaps and therapeutic frontiers.

Congenital heart disease (CHD) are genetically complex and comprise a wide range of structural defects that often predispose to - early heart failure, a common cause of neonatal morbidity and mortality. Transcriptome studies of CHD in human pediatric patients indicated a broad spectrum of diverse molecular signatures across various types of CHD. In order to advance research on congenital heart diseases (CHDs), we conducted a detailed review of transcriptome studies on this topic. Our analysis identified gaps in the literature, with a particular focus on the cardiac transcriptome signatures found in various biological specimens across different types of CHDs. In addition to translational studies involving human subjects, we also examined transcriptomic analyses of CHDs in a range of model systems, including iPSCs and animal models. We concluded that RNA-seq technology has revolutionized medical research and many of the discoveries from CHD transcriptome studies draw attention to biological pathways that concurrently open the door to a better understanding of cardiac development and related therapeutic avenue. While some crucial impediments to perfectly studying CHDs in this context remain obtaining pediatric cardiac tissue samples, phenotypic variation, and the lack of anatomical/spatial context with model systems. Combining model systems, RNA-seq technology, and integrating algorithms for analyzing transcriptomic data at both single-cell and high throughput spatial resolution is expected to continue uncovering unique biological pathways that are perturbed in CHDs, thus facilitating the development of novel therapy for congenital heart disease.

Longitudinal development of central SBP in children with congenital heart disease.

Central SBP (cSBP) was shown to be increased already in children with congenital heart disease (CHD). However, its development over time has not yet been investigated. The aim of this study was to evaluate the natural course of cSBP over time from longitudinal assessment in children with CHD. In this longitudinal study, 306 children and adolescents (11.3 ± 2.9 years, 34% girls) with various CHD were prospectively examined from July 2014 to May 2022. Over a mean follow-up length of 30.1 ± 18.9 months, 467 follow-up assessments have been conducted. cSBP was noninvasively assessed by oscillometric measurement via Mobil-O-Graph. A linear mixed effect model was performed to examine the course of cSBP. cSBP increased significantly over time by 1.22 mmHg per year of age (P < 0.001). The longitudinal increase in cSBP over time remained significant when including sex (b = 0.68, P < 0.001), BMI (b = 1.12, P < 0.001), hypertensive medication (b = 1.13, P < 0.001), disease severity (b = 1.04, P < 0.001), and CHD type (b = 3.74, P = 0.03) in the model. Patients with transposition of the great arteries (TGA) after arterial switch had a significantly higher cSBP increase over time (b = 1.78, P < 0.001). The longitudinal cSBP increase was significantly higher in obese CHD children (b = 2.52, P = 0.005) and in boys (b = 0.85, P < 0.001). This study shows a longitudinal increase in cSBP in children with CHD. Whether observed trajectories of cSBP are normal or abnormal needs to be investigated in further studies. Monitoring of the vascular function with a special focus on patients with TGA and obese CHD children seems indicated.

The Value of Fetal Echocardiography for Early Detection of Congenital Heart Defects: A Report of our Experience in a Great Referral Heart Center in Iran

Background: Prenatal diagnosis of cardiac defects in fetus is of paramount importance to enable a better monitoring of heart defects and to allow planning a proper management. We reported our experience on fetal heart echocardiography in a great referral heart center in Iran with the approach to assessment of the diagnostic value of this tool for detecting Congenital Heart Diseases (CHDs). Methods: This retrospective cohort study included 234 pregnant women attended at a great referral heart center in Tehran, Iran between 2012 and 2016 for heart abnormalities screening. All women were evaluated by trans-abdominal fetal echocardiography from 12 weeks of gestation to term and after birth. Results: Fetal echocardiography showed different types of CHDs in 5.9%. CHDs detected in 9.9% of neonates by echocardiography after birth. The most common heart abnormalities detected was VSD in 4.3%. Considering echocardiography findings after birth as the reference, fetal echocardiography had a sensitivity of 92.8%, a specificity of 66.6%, a positive predictive value of 59.8%, a negative predictive value of 86.6%, and an accuracy of 84.1% for detection of heart defects. Conclusion: Fetal heart echocardiography is a sensitive tool for detection of CHDs, but its specificity is moderate.

Association of genetic and sulcal traits with executive function in congenital heart disease.

Persons with congenital heart disease (CHD) are at increased risk of neurodevelopmental disabilities, including impairments to executive function. Sulcal pattern features correlate with executive function in adolescents with single-ventricle heart disease and tetralogy of Fallot. However, the interaction of sulcal pattern features with genetic and participant factors in predicting executive dysfunction is unknown. We studied sulcal pattern features, participant factors, and genetic risk for executive function impairment in a cohort with multiple CHD types using stepwise linear regression and machine learning. Genetic factors, including predicted damaging de novo or rare inherited variants in neurodevelopmental disabilitiesrisk genes, apolipoprotein E genotype, and principal components of sulcal pattern features were associated with executive function measures after adjusting for age at testing, sex, mother's education, and biventricular versus single-ventricle CHD in a linear regression model. Using regression trees and bootstrap validation, younger participant age and larger alterations in sulcal pattern features were consistently identified as important predictors of decreased cognitive flexibility with left hemisphere graph topology often selected as the most important predictor. Inclusion of both sulcal pattern and genetic factors improved model fit compared to either alone. We conclude that sulcal measures remain important predictors of cognitive flexibility, and the model predicting executive outcomes is improved by inclusion of potential genetic sources of neurodevelopmental risk. If confirmed, measures of sulcal patterning may serve as early imaging biomarkers to identify those at heightened risk for future neurodevelopmental disabilities.

Trends in mortality risk of patients with congenital heart disease during the COVID-19 pandemic

Cardiovascular conditions are considered risk factors for poor outcomes associated with COVID-19. However, the effect of the COVID-19 pandemic on the mortality of patients with congenital heart disease (CHD) is unclear. Our study aims to examine the trends in mortality risk of CHD patients during the COVID-19 pandemic. This is a retrospective cohort study from the Pediatric Cardiac Care Consortium, a US-based registry of interventions for CHD. We included patients having US residence and direct identifiers; death events were captured by matching with the National Death Index. The observation window (2017-2022) was divided into pre-COVID-19 and COVID-19 era defined around the national onset of COVID-19 disease in 2020. Stratified Cox model was used to assess all-cause mortality between the pre- and the COVID-19 era. Among 45,130 patients with CHD (median age in 2017: 23.3 years, IQR: 19.0-28.4), 503 deaths occurred during the pandemic with 44 deaths (8.7%) attributed to COVID-19 (COVID-19 mortality rate of 0.09%). The overall risk of death for patients with all types of CHD during the pandemic was significantly higher compared to the pre-COVID-19 era (aHR 1.28, 95%CI: 1.08-1.53), with a differential trend towards increased risk in patients with two-ventricle (aHR 1.44, 95% CI: 1.19-1.76) vs unchanged risk for those with single ventricle CHD (aHR=0.83, 95% CI: 0.57-1.21). Adjusted subgroup analysis revealed a higher risk of death during the pandemic for CHD patients with male and chromosomal abnormalities. The excess deaths during the pandemic were attributed to COVID-19 itself rather than CHD or cardiovascular conditions. In this large CHD cohort study, there was a higher risk of death among CHD patients with male and chromosomal abnormalities. A differential trend towards higher risk for those with two vs. unchanged risk for single ventricle CHD was presented. The excess mortality was attributed to the COVID-19 itself and not to conditions potentially related to deferral of care. These results justify targeted protective measures towards the CHD population and may provide guidance for public health and medical care response in future epidemics.

Identification of abnormal ventricular asymmetry in 2nd trimester fetal ultrasound using artificial intelligence

Abstract Introduction Prenatal ultrasound screening for congenital heart disease (CHD) suffers from poor detection yield (10%-56%)[1, 2], with a strong impact on neonatal morbidity and mortality. The need for expertise in fetal cardiology and the high volume of screening cases limit the current detection rates. Computer-assisted prenatal screening could support clinicians in improving diagnostic yield, including for abnormal ventricular asymmetry, which is often hard to discriminate from physiological asymmetry. Here we aim at evaluating a deep neural network (DNN) for detection of abnormal ventricular asymmetry, which can be linked to multiple types of CHD, including coarctation of the aorta, pulmonary or aortic valve stenosis, ventricular hypoplasia or univentricular heart. Purpose To determine if a novel DNN can identify cases of abnormal ventricular asymmetry in 2nd trimester fetal ultrasound videos. Methods We used as an endpoint the presence of any abnormality causing a significantly abnormal asymmetry of the ventricles as seen in the fetal ultrasound. Consecutive patients who had an echocardiography performed at one center were included retrospectively starting from 2022, January 1st. Inclusion criteria were single pregnancy between 18 and 25 weeks of gestation. To have a high number of positive patients, patients were included separately if they were expected to be positive (n=35) or negative (n=75) to the endpoint, based on their medical record. Each case was reviewed by one of two physicians expert in fetal echocardiography interpretation to confirm the presence or absence of the endpoint. For each patient, a single video showing an interpretable four chamber view was selected. Patients with no such video were excluded. The DNN takes as input fetal ultrasound videos, and predicts the absence or presence of the endpoint for each video. If its confidence is low, the DNN predicts an "inconclusive" output instead. The DNN has a ResNet-50 architecture[3] adapted to videos and was trained on data from patients not included in the evaluation. The detection performance of the DNN and the proportion of conclusive outputs were assessed. Results Overall, 37 positive and 66 negative ultrasound videos were included. The DNN achieved an AUC of 75.5%, a sensitivity of 71.4% (54.9-83.7, 95%CI) and a specificity of 64.4% (51.7-75.4, 95%CI) in identifying cases of abnormal ventricular asymmetry, after excluding inconclusive diagnosis. The DNN predicted a conclusive diagnosis in 91.3% of cases. Conclusion A DNN could accurately identify cases of abnormal ventricular asymmetry in fetal heart ultrasound videos. Importantly, this evaluation was performed in a population of patients who had an echocardiogram, and which therefore contains more abnormal cases compared to patients undergoing standard screening. This work lays the ground for diagnostic support to enable a more efficient, accurate, and scalable analysis of fetal heart ultrasounds.

Automated segmentation of 3D cine cardiovascular magnetic resonance imaging.

As the life expectancy of children with congenital heart disease (CHD) is rapidly increasing and the adult population with CHD is growing, there is an unmet need to improve clinical workflow and efficiency of analysis. Cardiovascular magnetic resonance (CMR) is a noninvasive imaging modality for monitoring patients with CHD. CMR exam is based on multiple breath-hold 2-dimensional (2D) cine acquisitions that should be precisely prescribed and is expert and institution dependent. Moreover, 2D cine images have relatively thick slices, which does not allow for isotropic delineation of ventricular structures. Thus, development of an isotropic 3D cine acquisition and automatic segmentation method is worthwhile to make CMR workflow straightforward and efficient, as the present work aims to establish. Ninety-nine patients with many types of CHD were imaged using a non-angulated 3D cine CMR sequence covering the whole-heart and great vessels. Automatic supervised and semi-supervised deep-learning-based methods were developed for whole-heart segmentation of 3D cine images to separately delineate the cardiac structures, including both atria, both ventricles, aorta, pulmonary arteries, and superior and inferior vena cavae. The segmentation results derived from the two methods were compared with the manual segmentation in terms of Dice score, a degree of overlap agreement, and atrial and ventricular volume measurements. The semi-supervised method resulted in a better overlap agreement with the manual segmentation than the supervised method for all 8 structures (Dice score 83.23 ± 16.76% vs. 77.98 ± 19.64%; P-value ≤0.001). The mean difference error in atrial and ventricular volumetric measurements between manual segmentation and semi-supervised method was lower (bias ≤ 5.2 ml) than the supervised method (bias ≤ 10.1 ml). The proposed semi-supervised method is capable of cardiac segmentation and chamber volume quantification in a CHD population with wide anatomical variability. It accurately delineates the heart chambers and great vessels and can be used to accurately calculate ventricular and atrial volumes throughout the cardiac cycle. Such a segmentation method can reduce inter- and intra- observer variability and make CMR exams more standardized and efficient.

Clinical utility of repeat fetal echocardiography in congenital heart disease.

To investigate the utility of repeat fetal echocardiography (FE) following a diagnosis of structural congenital heart disease (CHD) on the initial FE. We evaluated how often changes in management and counseling occurred based on subsequent FE findings and sought to determine which types of CHD were more likely to have changes in management and/or counseling based on repeat FE. This was a retrospective review of all patients who presented to our center between January 2012 and January 2019 and who had more than one FE performed for structural CHD. We reviewed consultation notes to determine whether management or counseling had changed based on FE findings at follow-up visits. Management variables included a change in location or mode of delivery, plan for atrial septostomy, initiation of prostaglandin infusion, umbilical line placement and planned admission location (nursery vs neonatal intensive care unit). We defined a counseling change as any of the above changes in management as well as any meaningful refinements in the cardiac diagnosis that led to a change in the overall prognosis or future management. Initial diagnoses were grouped into anatomically/hemodynamically relevant subgroups. Fisher's exact test was used to assess the relationship between the initial diagnosis and changes in management. Post-hoc pairwise comparisons were performed using Dunnett's test. Between January 2012 and January 2019, 267 patients underwent 534 follow-up FE assessments performed for structural CHD. Management change based on repeat FE occurred in 41/267 (15.4%) cases. A change in management was associated with the diagnosis made at the initial visit (P < 0.001). The proportion of cases with a management change was highest among those with an initial diagnosis of pulmonary valve abnormality/non-critical pulmonary stenosis (4/11 (36.4%)), followed by balanced atrioventricular canal (AVC) defect (5/17 (29.4%)) and left ventricular outflow tract obstruction/aortic valve abnormality or coarctation/interrupted aortic arch (19/68 (27.9%)). No management change occurred in fetuses diagnosed with isolated ventricular septal defect (VSD), truncus arteriosus, pulmonary vein anomaly or isolated arch sidedness/branching abnormality. Compared to those with a VSD, management was significantly more likely to be changed in fetuses with a balanced AVC defect (P = 0.025) and left heart lesions (P = 0.002). Right heart lesions showed a trend towards an increased incidence of management change (P = 0.05). A counseling change based on repeat FE occurred in 108/267 (40.4%) cases. The proportion of cases with a counseling change was highest among those with an initial diagnosis of pulmonary valve abnormality/non-critical pulmonary stenosis (8/11 (72.7%)) and hypoplastic left heart syndrome/critical aortic stenosis (5/9 (55.6%)). The clinical utility of follow-up FE is associated with the type of CHD diagnosed. Follow-up FE led to changes in management in several types of CHD, most commonly in cases with an initial diagnosis of right and left outflow obstructive lesions and balanced AVC defect. When developing programmatic protocols for the frequency of FE assessments, the type of CHD should be a major determinant, but additional studies are required to reach a consensus on how often serial FE should be performed for each type of CHD. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.

Semi-Automatic Measurement of Fetal Cardiac Axis in Fetuses with Congenital Heart Disease (CHD) with Fetal Intelligent Navigation Echocardiography (FINE).

Congenital heart disease (CHD) is one of the most common organ-specific birth defects and a major cause of infant morbidity and mortality. Despite ultrasound screening guidelines, the detection rate of CHD is limited. Fetal intelligent navigation echocardiography (FINE) has been introduced to extract reference planes and cardiac axis from cardiac spatiotemporal image correlation (STIC) volume datasets. This study analyses the cardiac axis in fetuses affected by CHD/thoracic masses (n = 545) compared to healthy fetuses (n = 1543) generated by FINE. After marking seven anatomical structures, the FINE software generated semi-automatically nine echocardiography standard planes and calculated the cardiac axis. Our study reveals that depending on the type of CHD, the cardiac axis varies. In approximately 86% (471 of 542 volumes) of our pathological cases, an abnormal cardiac axis (normal median = 40-45°) was detectable. Significant differences between the fetal axis of the normal heart versus CHD were detected in HLHS, pulmonary atresia, TOF (p-value < 0.0001), RAA, situs ambiguus (p-value = 0.0001-0.001) and absent pulmonary valve syndrome, DORV, thoracic masses (p-value = 0.001-0.01). This analysis confirms that in fetuses with CHD, the cardiac axis can significantly deviate from the normal range. FINE appears to be a valuable tool to identify cardiac defects.