A comparative study of fetal cardiovascular assessment: utilizing Doppler ultrasound gated MRI and echocardiography with detailed analysis using five axial views.

Objectives: To investigate the diagnostic performance of fetal cardiovascular magnetic resonance imaging (MRI) using Doppler ultrasound (DUS) gating for the evaluation of the standardized five axial views in comparison with fetal echocardiography. Methods: In this prospective study 29 pregnant women (median: 34.4 weeks of gestation) underwent fetal cardiovascular MRI using DUS gating at 3 Tesla. The standardized five axial views in prenatal screening (fetal abdomen, four-chamber view, left ventricular outflow tract, right ventricular outflow tract, and three-vessel view) were independently assessed and analysed by both fetal MRI and fetal echocardiography on the same day. Image analysis included qualitative assessment and quantitative measurements of cardiovascular structures. MR image quality was assessed using a 4-point scale (from 1 = low to 4 = excellent). Postnatal echocardiography was performed for validation. Results: 17/28 fetuses (60.7%) had pathological findings [16 congenital heart defect (CHD), one diaphragmatic hernia] in prenatal echocardiography. One fetus was excluded due to severe motion. Overall sensitivity and specificity in detecting fetal cardiac abnormalities was 88% and 100%, respectively, for fetal MRI and 100% and 100% for fetal echocardiography. MR image quality for evaluation of cardiac structures was high with a mean score of 2.8 (±0.8) (score 4: 15.9%, score 3: 53.8%, score 2: 19.3%, score 1: 11%). Quantitative measurements did not differ between fetal cardiovascular MRI and fetal echocardiography (all p > 0.05). Conclusion: Diagnostic performance of fetal cardiovascular MRI using DUS gating was comparable to fetal echocardiography. Fetal cardiovascular MRI using DUS gating might be a valuable diagnostic adjunct for the prenatal evaluation of CHD.

International expert consensus statement on physiological interpretation of cardiotocograph (CTG): First revision (2024).

The first international consensus guideline on physiological interpretation of cardiotocograph (CTG) produced by 44 CTG experts from 14 countries was published in 2018. This guideline ensured a paradigm shift from classifying CTG by arbitrarily grouping certain features of the fetal heart rate into different "categories", and then, randomly combining them to arrive at an overall classification of CTG traces into "Normal, Suspicious and Pathological" (or Category I, II and III) to a classification which is based on the understanding of fetal pathophysiology. The guideline recommended the recognition of different types of fetal hypoxia, and the determination of features of fetal compensatory responses as well as decompensation to ongoing hypoxic stress on the CTG trace. Since its first publication in 2018, there have been several scientific publications relating physiological interpretation of CTG, especially relating to features indicative of autonomic instability due to hypoxic stress (i.e., the ZigZag pattern), and of fetal inflammation. Moreover, emerging evidence has suggested improvement in maternal and perinatal outcomes in maternity units which had implemented physiological interpretation of CTG. Therefore, the guideline on Physiological Interpretation of CTG has been revised to incorporate new scientific evidence, and the interpretation table has been expanded to include features of chorioamnionitis and relative utero-placental insufficiency of labour (RUPI-L).

Measuring Atrial Size, Shape, and Contractility of the Fetal Heart Using FetalHQ: A New Technique Using Speckle Tracking Analysis.

Measurements of fetal atrial size, shape, and contractility have been previously reported using the TomTec fetal heart speckle tracking analysis software, which currently is no longer available in the marketplace. At the present time, the only software available for speckle-tracking analysis of the fetal heart is fetalHQ, which analyzes the fetal heart ventricles using the same algorithms as the TomTec software used for speckle-tracking analysis. This communication will review how to use the fetalHQ software to measure the size, shape, and contractility of the atrial chambers.

Automated analysis of fetal heart rate baseline/acceleration/deceleration using MTU-Net3 + model.

In clinical practice, obstetricians use visual interpretation of fetal heart rate (FHR) to diagnose fetal conditions, but inconsistencies among interpretations can hinder accuracy. This study introduces MTU-Net3+, a deep learning model designed for automated, multi-task FHR analysis, aiming to improve diagnostic accuracy and efficiency. The proposed MTU-Net3 + was built upon the UNet3 + architecture, incorporating an encoder, a decoder, full-scale skip connections, and a deep supervision module, and further integrates a self-attention mechanism and bidirectional Long Short-Term Memory layers to enhance its performance. The MTU-Net3 + model accepts the preprocessed 20-minute FHR signals as input, outputting categorical probabilities and baseline values for each time point. The proposed MTU-Net3 + model was trained on a subset of a public database, and was tested on the remaining data of the public database and a private database. In the remaining public datasets, this model achieved F1 scores of 84.21% for deceleration (F1.Dec) and 61.33% for acceleration (F1.Acc), with a Root Mean Square Baseline Difference (RMSD.BL) of 3.46 bpm, 0% of points with an absolute difference exceeding 15 bpm(D15bpm), a Synthetic Inconsistency Coefficient (SI) of 44.82%, and a Morphological Analysis Discordance Index (MADI) of 7.00%. On the private dataset, the model recorded an RMSD.BL of 1.37 bpm, 0% D15bpm, F1.Dec of 100%, F1.Acc of 87.50%, an SI of 12.20% and a MADI of 2.79%. The MTU-Net3 + model proposed in this study performed well in automated FHR analysis, demonstrating its potential as an effective tool in the field of fetal health assessment.

Early-Stage Prototype Assessment of Cost-Effective Non-Intrusive Wearable Device for Instant Home Fetal Movement and Distress Detection: A Pilot Study.

Clinical fetal monitoring devices can only be operated by medical professionals and are overly costly, prone to detrimental false positives, and emit radiation. Thus, highly accurate, easily accessible, simplified, and cost-effective fetal monitoring devices have gained an enormous interest in obstetrics. In this study, a cost-effective and user-friendly wearable home fetal movement and distress detection device is developed and assessed for early-stage design progression by facilitating continuous, comfortable, and non-invasive monitoring of the fetus during the final trimester. The functionality of the developed prototype is mainly based on a microcontroller, a single accelerometer, and a specialized fetal phonocardiography (fPCG) acquisition board with a low-cost microphone. The developed system is capable of identifying fetal movement and monitors fetal heart rhythm owing to its considerable sensitivity. Further, the device includes a Global System for Mobile Communication (GSM)-based alert system for instant distress notifications to the mother, proxy, and emergency services. By incorporating digital signal processing, the system achieves zero false negatives in detecting fetal movements, which was validated against an open-source database. The acquired results clearly substantiated the efficacy of the fPCG acquisition board and alarm system, ensuring the prompt identification of fetal distress.

Fetal heart diseases and neonatal mortality: Risk factors and management.

PURPOSE: Fetal heart diseases significantly contribute to neonatal mortality. Improved prenatal diagnostics enable defect detection before delivery, emphasizing the need for a personalized approach to address anomalies and predict outcomes. Categorizing diseases into risk classes aids obstetricians in counseling and delivery decisions. This study classifies fetal heart diseases by severity, examining factors related to maternal, fetal, and delivery that affect neonatal mortality. The aim is to identify key determinants of neonatal mortality and create an individual approach to assess and manage risks in the first days of a newborn's life. METHODS: A prospective study from 2019 to 2023 at a tertiary care institute involved pregnant women diagnosed with fetal heart disease. 382 women were categorized into three groups based on potential risk for hemodynamic instability at birth: Group-1 (no or low risk, n = 114), Group-2 (moderate risk, n = 201), and Group-3 (high risk, n = 67). Antenatal follow-up used fetal echocardiography. The study explored the association between maternal-fetal-delivery-related factors and neonatal mortality, with statistical significance set at p < 0.05. RESULTS: Significant associations with neonatal mortality were found in cases with birth weight < 2500 g (p = 0.002), presence of genitourinary system anomaly (p = 0.001), group-2 and 3 heart disease (p < 0.001), and induction of labor (p = 0.01). CONCLUSION: Factors influencing neonatal mortality in fetal heart disease cases include heart disease severity (group-3 heart disease), low birth weight, and extracardiac anomalies. While labor induction with prostaglandin ± oxytocin appears to elevate neonatal mortality, this observation requires further validation with larger sample sizes. Obstetricians should consider selective use of prostaglandin for labor induction.

Maternal high BMI: Sex-dimorphic alterations in maternal and offspring stress indices.

Maternal body mass index (BMI) influences pregnancy and birth outcomes along with child metabolic and neurodevelopmental health and fetal sex may be a moderating factor in these effects. Alternations in autonomic nervous system (ANS) functioning, identified in heart rate (HR) measurements, could present early markers of these prenatal programming effects in both the mother and the developing fetus. This study examines the associations between pre-pregnancy BMI and maternal and fetal ANS functioning and infant postnatal behavioral outcomes stratified by fetal sex. Pregnant women (N=176) were recruited at gestational week (GW) T1: 12-22 and categorized into Normal (BMI< 25) or High BMI (BMI > 25). Women attended laboratory sessions at T2: GW 23-28, and T3: GW 34-36 to assess maternal and fetal HR and HR variability (HRV) at baseline and after a stressor at T3. Infant behavior was assessed at 4 months using the Infant Behavior Questionnaire-Revised. Women with high BMI bearing female fetuses had higher HR and lower HRV at both gestational time points. Later in the third trimester, female fetuses of high BMI women exhibited lower HRV when challenged with a stressor. At 4 months, female infants were rated as having lower scores on the Orienting/Regulatory scale. Our findings provide evidence of female sex-specific programming of maternal pre-pregnancy BMI on maternal ANS regulation and neurodevelopment identified in-utero and continuing into early infancy.

[Fetal monitoring: Current limitations and new approaches based on analysis of the fetal autonomic nervous system]. / Surveillance fœtale : limites actuelles et nouvelles pistes basées sur l'analyse du système nerveux autonome fœtal.

OBJECTIVE: Currently, fetal monitoring during labor is based on visual analysis of the fetal heart rate (FHR). This test is imperfect, with high intra- and inter-observer variability and a moderate to poor prediction of the occurrence of neonatal acidosis or anoxic-ischaemic encephalopathy. In situations where there is an intermediate risk of acidosis, it is possible to use second-line tests such as blood scalp sampling (with pH or lactate measurement) or ST segment analysis of the fetal ECG. However, these invasive tests have many limitations and their place is debated. Some authors suggest a more physiological approach to FHR assessment. The main actor in maintaining fetal homeostasis is the autonomic nervous system (ANS). Its activity can be assessed by analysing heart rate variability (HRV). The aim is to assess whether HRV can be used to identify situations at risk of acidosis. MATERIALS AND METHODS: Our team has developed an index, the Fetal Stress Index, to measure HRV. To test it in a situation of acidosis, we used a pregnant ewe model. We also developed in parallel a human fetal ECG recording system. RESULTS: In our experimental model, we have shown that this index reflects variations in the parasympathetic system and correlates with the onset of acidosis. As its use in clinical practice requires the acquisition of a beat-to-beat FHR signal, we have also developed an abdominal patch that allows highly accurate analysis of the fetal ECG. CONCLUSION: The future is therefore to validate the FSI as a marker of acidosis in a prospective cohort using the signal obtained from our patch. This could be a new tool for fetal monitoring during labor.

Unexpected Rhythm: Supraventricular Tachycardia Unveiled in a Neonate Diagnosed at Delivery.

Neonatal supraventricular tachycardia (SVT) poses clinical challenges due to its rarity and potential for serious complications. We present a case of a 2.5 kg female neonate delivered at 37.2 weeks of gestation, diagnosed with SVT shortly after birth. Initial management included adenosine administration, which was initially ineffective until a second dose successfully reduced the heart rate. Subsequent episodes required repeated adenosine and the initiation of propranolol therapy. The neonate showed improvement with cessation of SVT episodes, weaning off respiratory support, and successful breastfeeding initiation. Follow-up at one month revealed no recurrent SVT, affirming effective management and favorable outcomes in neonatal SVT cases.

Single-Cell RNA-Seq Analysis of Hearts in Patients with Fetal Tetralogy of Fallot.

INTRODUCTION: To explore the cytological characteristics of tetralogy of Fallot (TOF), we collected samples and investigated the differences in the cytological classification between normal fetal hearts and fetal hearts with congenital defects. We then performed single-cell sequencing analysis to search for possible differential genes of disease markers. METHODS: Here, the right ventricles of a heart sample with TOF and a healthy human fetal heart sample were analyzed through single-cell sequencing. Data quality control filtering, comparison, quantification, and identification of recovered cells on the raw data were performed using Cell Ranger, thereby ultimately obtaining gene expression matrices for each cell. Subsequently, Seurat was used for cell filtration, standardization, cell subgroup classification, differential expression gene analysis of each subgroup, and marker gene screening. RESULTS: Bioinformatic analysis identified 9,979 and 15,224 cells from the healthy and diseased samples, respectively, with an average read depth of 25,000/cell. The cardiomyocyte cell populations, derived from the abnormal samples identified through the first-level graph-based analysis, were separated into six distinct cell clusters. CONCLUSION: Our study provides some information on TOF in a fetus, which can offer a new reference for the early detection and treatment of TOF by comparing defective heart cells with normal heart cells.

Assessment of Fetal Ventricular Size and Shape in Women With Intrahepatic Cholestasis of Pregnancy Using Speckle Tracking.

OBJECTIVE: To examine the effect of intrahepatic cholestasis of pregnancy (ICP) on fetal heart morphology. METHODS: This case-control study was conducted with 40 women with ICP and 54 pregnant controls. Fetal heart quantification based on speckle tracking technology was used to assess the morphology of the fetal right and left ventricles. Routine ventricular size parameters, global and 24-segment spherical indices (SIs) were measured and compared between groups. RESULTS: The routine fetal cardiac parameters, global and right-ventricular SIs did not differ between the ICP and control groups. The left-ventricular apical (segments 16-24) SIs were lower in the ICP group than in the control group (P < .05), with no significant difference in the other left-ventricular segments. CONCLUSIONS: Subclinical morphological changes were observed in the left ventricular apical segments of the fetal hearts in women with ICP, which indicates an intrauterine environment with high bile acid concentrations. Twenty-four-segment SIs can be used to effectively evaluate these changes.

Evaluation of fetal cardiac morphology and function by fetal heart quantification technique in the normal second and third trimesters.

Background: The study of fetal heart is receiving increasing attention. Fetal heart quantification (Fetal HQ) technology is a new speckle tracking technology that can analyze the 24-segment morphology and function of fetal ventricles. This study aims to use Fetal HQ to assess the changes in the structure and function of the fetal heart in normal mid to late pregnancy, providing a foundation for the clinical application of fetal cardiac speckle tracking technology. Methods: The heart size, global sphericity index (GSI), left ventricular [stroke volume (SV)], cardiac output (CO), ejection fraction (EF), global longitudinal strain (GLS), fractional area change (FAC), 24-segment end-diastolic diameter (EDD), sphericity index (SI) and fractional shortening (FS) of the two ventricles of 500 normal pregnant fetuses were evaluated by Fetal HQ. The subjects were divided into 5 groups according to gestational weeks (GA), and the changes of fetal heart morphology and function were observed. P<0.05 indicated the statistically significant difference. Results: The fetal heart rate decreased gradually with the increase of GA (P<0.05). The size parameters of the fetal heart and two ventricles gradually increased with increasing GA (P<0.05). The 24 segments EDD of both ventricles increased with increasing GA (P<0.05), while the EDD increased first and then decreased from the ventricle base to the apex. The GSI and the 24 segments SI of two ventricles were basically not significantly different among the groups (P>0.05). The EF, GLS, FAC of the left ventricle and the GLS, FAC of the right ventricle decreased with the increase of GA (P<0.05), and SV and CO increased with increasing GA (P<0.05). The 24 segments FS of the left ventricle showed a downward trend with the increase of GA and gradually increased from the base to the apex. The FS of most segments of the right ventricle decreased with the increase of the GA and increased first and then decreased from the base to the apex. Conclusions: The whole and segmental size parameters of fetal heart can quantitatively evaluate the growth and development of fetal heart; the GSI and segmental SI are reliable morphological indexes for evaluating fetal heart; fetal ventricular function parameters EF, FAC, GLS and segmental FS can evaluate fetal cardiac function. The Fetal HQ technique can help us to evaluate the heart growth and development of normal fetuses in the second and third trimester of pregnancy.

Relative uteroplacental insufficiency of labor.

Relative uteroplacental insufficiency of labor (RUPI-L) is a clinical condition that refers to alterations in the fetal oxygen "demand-supply" equation caused by the onset of regular uterine activity. The term RUPI-L indicates a condition of "relative" uteroplacental insufficiency which is relative to a specific stressful circumstance, such as the onset of regular uterine activity. RUPI-L may be more prevalent in fetuses in which the ratio between the fetal oxygen supply and demand is already slightly reduced, such as in cases of subclinical placental insufficiency, post-term pregnancies, gestational diabetes, and other similar conditions. Prior to the onset of regular uterine activity, fetuses with a RUPI-L may present with normal features on the cardiotocography. However, with the onset of uterine contractions, these fetuses start to manifest abnormal fetal heart rate patterns which reflect the attempt to maintain adequate perfusion to essential central organs during episodes of transient reduction in oxygenation. If labor is allowed to continue without an appropriate intervention, progressively more frequent, and stronger uterine contractions may result in a rapid deterioration of the fetal oxygenation leading to hypoxia and acidosis. In this Commentary, we introduce the term relative uteroplacental insufficiency of labor and highlight the pathophysiology, as well as the common features observed in the fetal heart rate tracing and clinical implications.

Willingness to use smart fetal heart rate monitoring devices among pregnant women: an extension of the technology acceptance model.

The purpose of this study was to assess the significant factors that impact pregnant women's willingness to use smart fetal heart-rate monitoring devices. We propose a research model that integrates technological factors (perceived compatibility and perceived credibility) and personal factors (health anxiety, personal physiological conditions, health consciousness, and health beliefs). The subjects of this study were Chinese women who were pregnant or had previously given birth. Data were collected and analyzed from 397 paper-and-pencil and electronic questionnaires. Our structural equation model indicated that perceived usefulness (ß = 0.490, t = 7.591, p < 0.001), perceived ease of use (ß = 0.352, t = 5.631, p < 0.001), health anxiety (ß = 0.095, t = 2.664, p = 0.008), personal physiological conditions (ß = 0.075, t = 2.142, p = 0.032), and health consciousness (ß = 0.078, t = 2.110, p = 0.035) were the determinants of the intention to use smart fetal heart-rate monitoring devices, with perceived usefulness having the highest degree of influence. Furthermore, we discovered that the levels of perceived compatibility and perceived credibility did not have direct correlations with the intention to use these devices, but they did significantly influence the model. Perceived compatibility (ß = 0.345, t = 6.601, p < 0.001) and perceived credibility (ß = 0.519, t = 9.958, p < 0.001) significantly influences perceived ease of use. Perceived credibility (ß = 0.421, t = 7.802, p < 0.001) significantly influences perceived usefulness. Based on these results, suggestions for future research are put forward.

The Approach to Sensing the True Fetal Heart Rate for CTG Monitoring: An Evaluation of Effectiveness of Deep Learning with Doppler Ultrasound Signals.

Cardiotocography (CTG) is widely used to assess fetal well-being. CTG is typically obtained using ultrasound and autocorrelation methods, which extract periodicity from the signal to calculate the heart rate. However, during labor, maternal vessel pulsations can be measured, resulting in the output of the maternal heart rate (MHR). Since the autocorrelation output is displayed as fetal heart rate (FHR), there is a risk that obstetricians may mistakenly evaluate the fetal condition based on MHR, potentially overlooking the necessity for medical intervention. This study proposes a method that utilizes Doppler ultrasound (DUS) signals and artificial intelligence (AI) to determine whether the heart rate obtained by autocorrelation is of fetal origin. We developed a system to simultaneously record DUS signals and CTG and obtained data from 425 cases. The midwife annotated the DUS signals by auditory differentiation, providing data for AI, which included 30,160 data points from the fetal heart and 2160 data points from the maternal vessel. Comparing the classification accuracy of the AI model and a simple mathematical method, the AI model achieved the best performance, with an area under the curve (AUC) of 0.98. Integrating this system into fetal monitoring could provide a new indicator for evaluating CTG quality.

Prediction of fetal growth restriction and small for gestational age by ultrasound cardiac parameters.

OBJECTIVE: Prediction of fetal growth restriction (FGR) and small of gestational age (SGA) infants by using various ultrasound cardiac parameters in a logistic regression model. METHODS: In this retrospective study we obtained standardized ultrasound images of 357 fetuses between the 20th and 39th week of gestation, 99 of these fetuses were between the 3rd and 10th growth percentile, 61 smaller than 3rd percentile and 197- appropriate for gestational age over the 10th percentile (control group). Several cardiac parameters were studied. The cardiothoracic ratio and sphericity of the ventricles was calculated. A binary logistic regression model was developed for prediction of growth restriction using the cardiac and biometric parameters. RESULTS: There were noticeable differences between the control and study group in the sphericity of the right ventricle (p = 0.000), left and right longitudinal ventricle length (pright = 0.000, pleft = 0.000), left ventricle transverse length (p = 0.000), heart diameter (p = 0.002), heart circumference (p = 0.000), heart area (p = 0.000), and thoracic diameter limited by the ribs (p = 0.002). There was no difference of the cardiothoracic ratio between groups. The logistic regression model achieved a prediction rate of 79.4 % with a sensitivity of 74.5 % and specificity of 83.2 %. CONCLUSION: The heart of growth restricted infants is characterized by a more globular right ventricle, shorter ventricle length and smaller thorax diameter. These parameters could improve prediction of FGR and SGA.

Fetal movement during delivery can lead to damage to the umbilical vessels and endanger the life of the fetus.

INTRODUCTION: Fetal umbilical cord hematoma has a low incidence but high mortality, and its cause during delivery is often unclear. We report an autopsy case in which it was concluded that umbilical cord hematoma resulted from fetal movements during childbirth. CASE PRESENTATION AND AUTOPSY FINDINGS: A 27-year-old primigravida at 39 + 2 weeks gestation with normal antenatal visits suffered a fetal heart rate decrease during active labor. Bedside ultrasound revealed fetal death in utero 22 min later. Forensic pathologists found that the umbilical vessels were torn and bleeding on almost the same plane, and the hematoma compressed both umbilical arteries, which is the cause of fetal stillness in utero. A total of 32 cases were reported, including 6 umbilical cord ruptures and 26 umbilical cord hematomas. The cause of hematoma was unknown in 77 % of cases, while dysplasia was present in 56.25 % of umbilical cords. DISCUSSION: This case indicates that fetal movements may cause umbilical cord vessel injury, particularly when oxytocin is used to induce labor. When fetal heart sounds decrease for no apparent reason, the possibility of cord injury should be considered, and cesarean delivery should be performed as soon as possible. Therefore, rigorous fetal heart tracing during active delivery is necessary.

Extracting fetal heart signals from Doppler using semi-supervised convolutional neural networks.

Cardiotocography (CTG) measurements are critical for assessing fetal wellbeing during monitoring, and accurate assessment requires well-traceable CTG signals. The current FHR calculation algorithm, based on autocorrelation to Doppler ultrasound (DUS) signals, often results in periods of loss owing to its inability to differentiate signals. We hypothesized that classifying DUS signals by type could be a solution and proposed that an artificial intelligence (AI)-based approach could be used for classification. However, limited studies have incorporated the use of AI for DUS signals because of the limited data availability. Therefore, this study focused on evaluating the effectiveness of semi-supervised learning in enhancing classification accuracy, even in limited datasets, for DUS signals. Data comprising fetal heartbeat, artifacts, and two other categories were created from non-stress tests and labor DUS signals. With labeled and unlabeled data totaling 9,600 and 48,000 data points, respectively, the semi-supervised learning model consistently outperformed the supervised learning model, achieving an average classification accuracy of 80.9%. The preliminary findings indicate that applying semi-supervised learning to the development of AI models using DUS signals can achieve high generalization accuracy and reduce the effort. This approach may enhance the quality of fetal monitoring.

Prenatal Ultrasound Markers of Isolated Total Anomalous Pulmonary Venous Return and a Sequential Approach to Reach Diagnosis.

This article comprehensively reviews the literature concerning prenatal ultrasound findings of isolated total anomalous pulmonary venous return (TAPVR) and the application of specific sonographic markers to differentiate among the TAPVR types. These markers can be categorized as direct and indirect, based on either morphological features or hemodynamic changes in TAPVR. Indirect markers include the ventricular disproportion, an increased distance between the left atrium (LA) and the descending aorta, as well as the dilatation of superior vena cava or coronary sinus for supracardiac or cardiac TAPVR, along with abnormal pulmonary venous spectral Doppler patterns. Direct markers predominantly focus on the absence of a connection between the pulmonary veins and the LA. Some direct markers are specific to certain TAPVR types, such as the vertical vein. Diagnosing isolated TAPVR can pose challenges, but following a sequential approach can improve detection rates and outcomes. In cases with equivocal findings, additional follow-ups are recommended. The sequential approach described in the current article provides a step-wise methodology and sonographic markers for prenatal diagnosis of TAPVR, which can be utilized by fetal-maternal medicine specialists, obstetricians, and radiological technicians to ensure timely interventions.

Single-cell RNA sequencing reveals the gene expression profile and cellular communication in human fetal heart development.

The heart is the central organ of the circulatory system, and its proper development is vital to maintain human life. As fetal heart development is complex and poorly understood, we use single-cell RNA sequencing to profile the gene expression landscapes of human fetal hearts from the four-time points: 8, 10, 11, 17 gestational weeks (GW8, GW10, GW11, GW17), and identified 11 major types of cells: erythroid cells, fibroblasts, heart endothelial cells, ventricular cardiomyocytes, atrial cardiomyocytes, macrophage, DCs, smooth muscle, pericytes, neural cells, schwann cells. In addition, we identified a series of differentially expressed genes and signaling pathways in each cell type between different gestational weeks. Notably, we found that ANNEXIN, MIF, PTN, GRN signalling pathways were simple and fewer intercellular connections in GW8, however, they were significantly more complex and had more intercellular communication in GW10, GW11, and GW17. Notably, the interaction strength of OSM signalling pathways was gradually decreased during this period of time (from GW8 to GW17). Together, in this study, we presented a comprehensive and clear description of the differentiation processes of all the main cell types in the human fetal hearts, which may provide information and reference data for heart regeneration and heart disease treatment.