Maternal plasma mRNA species in fetal heart defects: a potential for molecular screening

2016 ◽  
Vol 36 (8) ◽  
pp. 738-743 ◽  
Author(s):  
Alessandra Curti ◽  
Cristina Lapucci ◽  
Silvia Berto ◽  
Daniela Prandstraller ◽  
Antonella Perolo ◽  
...  
Keyword(s):  
Fetal Heart ◽  
Heart Defects ◽  
Maternal Plasma ◽  
Molecular Screening ◽  
Mrna Species

Collaborative Study on 4-Dimensional Echocardiography for the Diagnosis of Fetal Heart Defects

2010 ◽  
Vol 29 (11) ◽  
pp. 1573-1580 ◽  
Author(s):  
Jimmy Espinoza ◽  
Wesley Lee ◽  
Christine Comstock ◽  
Roberto Romero ◽  
Lami Yeo ◽  
...  
Keyword(s):  
Fetal Heart ◽  
Heart Defects ◽  
Collaborative Study ◽  
Dimensional Echocardiography

Ultrasound examination of pregnant women in diagnosing fetal cardiac pathology

2020 ◽  
Vol 69 (2) ◽  
pp. 43-50
Author(s):  
Viktoria A. Lim
Keyword(s):  
Pregnant Women ◽  
Fetal Heart ◽  
Fetal Echocardiography ◽  
Heart Defects ◽  
Care Service ◽  
Ultrasound Screening ◽  
Atrioventricular Canal ◽  
Cardiac Pathology ◽  
Organ Systems ◽  
Atrioventricular Canal Defect

Hypothesis/aims of study. Fetal heart defects are the most common malformations causing infant mortality. The task of the obstetric care service is to make a timely diagnosis, which includes high-quality ultrasound screening and, if necessary, fetal echocardiography. This study aimed to compare fetal echocardiography with postpartum echocardiography. Study design, materials and methods. 101 pregnant women with both isolated fetal heart defects and combined pathology were examined for the period 20172019. Results. The greatest number of heart defects was detected at 2331 weeks of gestation. The structure of the malformations is diverse, the most common one being a complete form of the atrioventricular canal defect. In multiple pregnancies, complex heart defects were often combined with abnormalities in other organ systems. Conclusion. It is recommended to describe the heart structure in detail from 2122 weeks of pregnancy. If cardiac pathology is detected in utero, it is mandatory to conduct an examination of other fetal organs.

scholarly journals Barriers to Sonographer Screening for Fetal Heart Defects: A U.S. National Survey

2019 ◽  
Vol 47 (3) ◽  
pp. 188-197
Author(s):  
Nelangi M. Pinto ◽  
Kevin A. Henry ◽  
Guo Wei ◽  
Xiaoming Sheng ◽  
Tom Green ◽  
...  
Keyword(s):  
National Survey ◽  
Fetal Heart ◽  
Heart Defects

657: Intrapartum fetal heart rate characteristics of fetuses with trisomy 21 and congenital heart defects

2011 ◽  
Vol 204 (1) ◽  
pp. S259-S260
Author(s):  
Priyadarshini Koduri ◽  
Maria Adelaida Giraldo ◽  
Phillip Shlossman ◽  
Anthony Sciscione ◽  
Vincenzo Berghella ◽  
...  
Keyword(s):  
Heart Rate ◽  
Congenital Heart Defects ◽  
Fetal Heart Rate ◽  
Trisomy 21 ◽  
Congenital Heart ◽  
Fetal Heart ◽  
Heart Defects

scholarly journals Optimizing Fetal Heart Screening at the Anatomy Ultrasound

2016 ◽  
Vol 10 (1) ◽  
pp. 50-54
Author(s):  
Dena Towner
Keyword(s):  
Risk Factors ◽  
Birth Defects ◽  
Detection Rate ◽  
Obstet Gynecol ◽  
Fetal Heart ◽  
Heart Defects ◽  
Cardiac Abnormalities ◽  
Heart Imaging ◽  
Antenatal Detection ◽  
Underlying Risk

ABSTRACT Congenital cardiac abnormalities are one of the most common birth defects at 1 in 120 births. The majority of which have no underlying risk factors. The fetal heart assessment is felt to be the most challenging part of the anatomy examination and most studies report that nearly half of major heart defects are missed, thus, confirming the challenge for antenatal detection rate. This article reviews the key views and key items to assess in fetal heart imaging during the anatomy ultrasound. How to cite this article Towner D. Optimizing Fetal Heart Screening at the Anatomy Ultrasound. Donald School J Ultrasound Obstet Gynecol 2016;10(1):50-54.

scholarly journals Fetal heart ultrasound image-oriented adaptive classification deep model based on differentiable architecture search

2021 ◽  
Author(s):  
Xianhua Zeng ◽  
Yunjiu Zhang ◽  
Wei Huang
Keyword(s):  
Congenital Heart ◽  
Fetal Heart ◽  
Expert Knowledge ◽  
Heart Defects ◽  
Ultrasound Image ◽  
Prenatal Ultrasound ◽  
Classification Model ◽  
Classification Task ◽  
Adaptive Classification ◽  
Deep Model

Abstract Prenatal ultrasound examination is used for screening congenital heart defects and fetal genetic diseases. Unfavorable factors such as low signal-to-noise ratio, artifact and poor fetal posture in ultrasound images make it a very complicated task to identify and interpret the standard scan plane of the fetal heart in prenatal ultrasound examinations. Deep learning related methods are widely used to process and analyze medical images. However, designing an effective network structure for a specific task is a time-consuming and relies on expert knowledge. In order to obtain an effective fetal ultrasound image classification model in a short time, this paper collects and organizes the Fetal Heart Standard Plane(FHSP) level III screening dataset, and we use the Differentiable Architecture Search(DARTS) method for FHSP classification task to automatically obtain an efficient adaptive classification deep model called Ultrasound Image Adaptive Classification model(UIAC) for assisting the diagnosis of fetal congenital heart disease. This new model is a deep neural network consisting of two automatically searched optimal blocks. Our UIAC model has fewer parameters than the mainstream manned classification networks. Moreover, it has achieved the best recognition results on the FHSP classification task: top1-accuracy 89.84%, macro-f1 89.72%, kappa score 88.82%.

scholarly journals Maternal biomarkers for fetal heart failure in fetuses with congenital heart defects or arrhythmias

2019 ◽  
Vol 220 (1) ◽  
pp. 104.e1-104.e15 ◽  
Author(s):  
Takekazu Miyoshi ◽  
Hiroshi Hosoda ◽  
Michikazu Nakai ◽  
Kunihiro Nishimura ◽  
Mikiya Miyazato ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Fetal Heart ◽  
Heart Defects ◽  
Fetal Heart Failure
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