Results 81 to 90 of about 121,138 (267)

Prenatal Predictors of Early Intervention in Simple Tetralogy of Fallot: A Retrospective Multi‐Centre Study

open access: yesPrenatal Diagnosis, Volume 45, Issue 6, Page 743-751, June 2025.
ABSTRACT Objective Prenatal predictors of early postnatal intervention in tetralogy of Fallot (ToF) remain uncertain. This study aimed to identify prenatal cardiac and non‐cardiac predictors of disease severity associated with early intervention in ToF.
Zoe Vetten   +9 more
wiley   +1 more source

A New ISL1 Loss-of-Function Mutation Predisposes to Congenital Double Outlet Right Ventricle.

open access: yesInternational Heart Journal, 2019
Occurring in about 1% of all live births, congenital heart defects (CHDs) represent the most frequent type of developmental abnormality and account for remarkably increased infant morbidity and mortality.
Zhi Wang   +10 more
semanticscholar   +1 more source

An individualised mobile app was beneficial for the mothers of infants with severe congenital heart defects

open access: yesActa Paediatrica, Volume 114, Issue 6, Page 1238-1248, June 2025.
Abstract Aim This national study focused on the individualised Heart Observation (HOBS) mobile phone app, which helps the parents of infants with severe congenital heart disease (CHD) with discharge preparations and decision making at home. Methods We enrolled two groups of parents from 2021 to 2023, during their child's initial hospitalisation at Oslo
Elin Hjorth‐Johansen   +7 more
wiley   +1 more source

A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts [PDF]

open access: yesarXiv, 2018
Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information obtained from rule-based methods often does not match histological data in other areas of the heart such as the right ventricle ...
arxiv  

Anatomy of the ventricular septal defect in congenital heart defects: a random association?

open access: yesOrphanet Journal of Rare Diseases, 2018
Background A ventricular septal defect (VSD) is an integral part of most congenital heart defects (CHD). To determine the prevalence of VSD in various types of CHD and the distribution of their anatomic types.
Meriem Mostefa-Kara   +2 more
doaj   +1 more source

COVID‐19 Vaccination During Pregnancy and Birth Defects: Results From the CDC COVID‐19 Vaccine Pregnancy Registry, United States 2021–2022

open access: yesBirth Defects Research, Volume 117, Issue 5, May 2025.
ABSTRACT Background We calculated prevalences of birth defects among infants of participants in the Centers for Disease Control and Prevention's (CDC) COVID‐19 Vaccine Pregnancy Registry (C19VPR). Methods C19VPR enrolled women receiving COVID‐19 vaccines ≤ 30 days before the last menstrual period or during pregnancy from December 2020 through June 2021.
Andrea J. Sharma   +12 more
wiley   +1 more source

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base [PDF]

open access: yes
Accurate biventricular segmentation of cardiac magnetic resonance (CMR) cine images is essential for the clinical evaluation of heart function. However, compared to left ventricle (LV), right ventricle (RV) segmentation is still more challenging and less reproducible.
arxiv   +1 more source

Radical correction of double outlet of right ventricle with conduits

open access: yesRUDN Journal of Medicine, 2009
The use of an artificial pulmonary arterial trunk in the radical correction of complicated congenital heart disease (CHD), such as double origin of the great vessels (DOGV) from the right ventricle (RV) concurrent with pulmonary stenosis is the operation
I A Yurlov   +3 more
doaj  

A Generative Adversarial Model for Right Ventricle Segmentation [PDF]

open access: yesarXiv, 2018
The clinical management of several cardiovascular conditions, such as pulmonary hypertension, require the assessment of the right ventricular (RV) function. This work addresses the fully automatic and robust access to one of the key RV biomarkers, its ejection fraction, from the gold standard imaging modality, MRI.
arxiv  

Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning [PDF]

open access: yesarXiv, 2019
The goal of this project is to use magnetic resonance imaging (MRI) data to provide an end-to-end analytics pipeline for left and right ventricle (LV and RV) segmentation. Another aim of the project is to find a model that would be generalizable across medical imaging datasets. We utilized a variety of models, datasets, and tests to determine which one
arxiv  

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