Advances in Fetal Cardiac Imaging and Intervention.

CJC Pediatr Congenit Heart Dis

The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.

Published: February 2024

The field of fetal cardiology has evolved significantly in recent years. This review focuses on specific advances in fetal cardiac imaging and intervention that are increasingly used in clinical practice. On the imaging frontier, updated screening guidelines and artificial intelligence hold promise for improving prenatal detection of congenital heart disease. Advances in ultrasound technology and magnetic resonance imaging techniques have enabled greater diagnostic and prognostic accuracy of fetal heart disease from the first to third trimesters, and maternal hyperoxygenation can offer additional physiological insights. Fetal cardiac therapy has also seen great progress, with advances in transplacental pharmacologic treatments, infusions of enzyme replacement therapy, and fetal surgery for select rare and severe conditions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10964267PMC
http://dx.doi.org/10.1016/j.cjcpc.2023.10.012DOI Listing

Publication Analysis

Top Keywords

fetal cardiac
12
advances fetal
8
cardiac imaging
8
imaging intervention
8
heart disease
8
fetal
5
advances
4
imaging
4
intervention field
4
field fetal
4

Similar Publications

Myocardial infarction can lead to the loss of billions of cardiomyocytes, and while cell-based therapies are an option, immature nature of in vitro-generated human induced pluripotent stem cell (iPSC)-derived cardiomyocytes (iCMs) is a roadblock to their development. Existing iPSC differentiation protocols don't go beyond producing fetal iCMs. Recently, adult extracellular matrix (ECM) was shown to retain tissue memory and have some success driving tissue-specific differentiation in unspecified cells in various organ systems.

View Article and Find Full Text PDF

Expression of ABCB1, ABCC1, and LRP in Mesenchymal Stem Cells from Human Amniotic Fluid and Bone Marrow in Culture-Effects of In Vitro Osteogenic and Adipogenic Differentiation.

Int J Mol Sci

January 2025

Lipids, Oxidation, and Cell Biology Group, Laboratory of Immunology (LIM19), Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo 05403-900, Brazil.

Mesenchymal stem cells (MSCs) are multipotent cells with the potential to differentiate into various lineages. They have also the potential to protect themselves against harmful stimuli to maintain their functional integrity. Drug resistance-related transporters such as ABCB1 (P-glycoprotein; P-gp), ABCC1 (MRP1; multidrug resistance-related Protein 1), and LRP (lung resistance protein) may protect MSCs against toxic substances such as chemotherapeutic agents.

View Article and Find Full Text PDF

Oropouche virus (OROV) is an orthobunyavirus endemic in the Brazilian Amazon that has caused numerous outbreaks of febrile disease since its discovery in 1955. During 2024, Oropouche fever spread from the endemic regions of Brazil into non-endemic areas and other Latin American and Caribbean countries, resulting in 13,014 confirmed infections. Similarly to other orthobunyaviruses, OROV can undergo genetic reassortment events with itself as well as other viruses.

View Article and Find Full Text PDF

Prenatally Diagnosed Cardiac Tumors and Tuberous Sclerosis Complex: A Single-Center Experience.

Children (Basel)

January 2025

Department of Pediatrics, Division of Neonatology and Neonatal Intensive Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.

Background/objectives: Cardiac rhabdomyoma (CR), the most frequently occurring fetal cardiac tumor, is often an early marker of tuberous sclerosis complex (TSC). This study evaluates outcomes of fetuses with prenatally diagnosed cardiac tumors managed at a single tertiary center.

Methods: Medical records of fetuses diagnosed with cardiac tumors between 2009 and 2024 were retrospectively reviewed.

View Article and Find Full Text PDF

Echocardiography is the main modality in diagnosing acquired and congenital heart disease (CHD) in fetal and pediatric patients. However, operator variability, complex image interpretation, and lack of experienced sonographers and cardiologists in certain regions are the main limitations existing in fetal and pediatric echocardiography. Advances in artificial intelligence (AI), including machine learning (ML) and deep learning (DL), offer significant potential to overcome these challenges by automating image acquisition, image segmentation, CHD detection, and measurements.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!