Diagnosis of fetal arrhythmia in echocardiography imaging using deep learning with cyclic loss.

Background: Fetal arrhythmias frequently co-occur with congenital heart disease in fetuses. The peaks observed in M-mode fetal echocardiograms serve as pivotal diagnostic markers for fetal arrhythmias. However, speckles, artifacts, and noise pose notable challenges for accurate image analysis.

Investigating the interaction of uranium(VI) with diatoms and their bacterial community: A microscopic and spectroscopic study.

Diatoms and bacteria play a vital role in investigating the ecological effects of heavy metals in the environment. Despite separate studies on metal interactions with diatoms and bacteria, there is a significant gap in research regarding heavy metal interactions within a diatom-bacterium system, which closely mirrors natural conditions. In this study, we aim to address this gap by examining the interaction of uranium(VI) (U(VI)) with Achnanthidium saprophilum freshwater diatoms and their natural bacterial community, primarily consisting of four successfully isolated bacterial strains (Acidovorax facilis, Agrobacterium fabrum, Brevundimonas mediterranea, and Pseudomonas peli) from the diatom culture.

Paternal Preconception Hepatitis B Virus Infection and Risk of Congenital Heart Disease in Offspring.

Importance: Previous evidence suggests that maternal hepatitis B virus (HBV) infection during prepregnancy or pregnancy is associated with congenital heart diseases (CHDs) in offspring. However, the association of paternal HBV infection with CHDs is not well examined.

Objective: To explore the association of paternal preconception HBV infection with CHDs in offspring.

Prenatal diagnosis of criss-cross heart - case series and review of the literature.

Objective: This study aimed to improve the accuracy of prenatal diagnosis by analyzing fetal echocardiographic features of criss-cross heart (CCH), to provide an effective basis for the development of management strategies and improve the prognosis of patients.

Methods: A retrospective analysis was performed on CCH cases diagnosed prenatally at our center between July 2016 and June 2022. Clinical data and prenatal fetal echocardiographic images were reviewed.

Applications of artificial intelligence-powered prenatal diagnosis for congenital heart disease.

Artificial intelligence (AI) has made significant progress in the medical field in the last decade. The AI-powered analysis methods of medical images and clinical records can now match the abilities of clinical physicians. Due to the challenges posed by the unique group of fetuses and the dynamic organ of the heart, research into the application of AI in the prenatal diagnosis of congenital heart disease (CHD) is particularly active.

Study on the correlation between retrograde ductus arteriosus flow and right ventricular function evaluated by Z-score of tricuspid annular plane systolic excursion in fetuses with Ebstein anomaly.

Purpose: To analyze the influence of RV dysfunction evaluated by Free-angle M-mode (FAM) TAPSE Z-score on retrograde ductus arteriosus flow (RDAF) in fetuses with Ebstein anomaly (EA).

Methods: A retrospective cohort study of 30 EA and 60 normal fetuses were enrolled. The EA group was divided into two groups: with RDAF (EA-RDAF group) and without RDAF (EA-NRDAF group).

Generation of a TSC2 knockout embryonic stem cell line by CRISPR/Cas9 editing.

Tuberous Sclerosis Complex (TSC) is a severe developmental disorder with various clinical effects, primarily caused by TSC2 gene mutations, often involving loss of function(Henske,et al., 2016).To explore role of TSC2 in human heart development, we successfully developed a TSC2 knockout (TSC2-/-) human embryonic stem cells (hESCs) line using CRISPR/Cas9 gene editing.

Application of neural networks in prenatal diagnosis of atrioventricular septal defect.

Background: There is no relevant study on landmarks detection, one of the Convolutional Neural Network algorithms, in the field of fetal echocardiography (FE). This study aimed to explore whether automatic landmarks detection could be used in FE correctly and whether the atrial length (AL) to ventricular length (VL) ratio (AVLR) could be used to diagnose atrioventricular septal defect (AVSD) prenatally.

Methods: This was an observational study.

Reducing SULT2B1 promotes the interaction of LncRNAgga3-204 with SMAD4 to inhibit the macrophage inflammatory response and delay atherosclerosis progression.

Inflammation is a crucial pathophysiological mechanism in atherosclerosis (AS). This study aims to investigate the impact of sulfotransferase family 2b member 1 (SULT2B1) on the inflammatory response of macrophages and the progression of AS. Here, we reported that SULT2B1 expression increased with the progression of AS.

Improved Multi-Head Self-Attention Classification Network for Multi-View Fetal Echocardiography Recognition.

The accurate acquisition of multiview fetal cardiac ultrasound images is very important for the diagnosis of fetal congenital heart disease (FCHD). However, these manual clinical procedures have drawbacks, e.g.

Interaction between ozone and paternal smoking on fetal congenital heart defects among pregnant women at high risk: a multicenter maternal-fetal medicine study.

Background: Evidence remains limited on the association between maternal ozone (O) exposure and congenital heart defects (CHDs) in offspring, and few studies have investigated the interaction and modification of paternal smoking on this association.

Methods: Using a sample including pregnant women at high risk of fetal CHD (with metabolic disease, first-trimester viral infection, family history of CHD, etc.) from a maternal-fetal medicine study covering 1313 referral hospitals in China during 2013-2021, we examined the associations between maternal O exposure during 3-8 weeks of gestational age and fetal CHD in offspring and investigated the interaction and modification of paternal smoking on this association.