Background: The aim of this study was to assess speckle tracking-derived fetal cardiac function in a normal population and in recipient fetuses of twin-to-twin transfusion syndrome (TTTS).
Methods: A case-control study was conducted of 59 uncomplicated singleton pregnancies and 17 recipient fetuses of TTTS. Peak systolic strain, strain rate, velocity, and displacement were calculated, corrected for gestational age, and compared between patients with TTTS and controls.
Results: The feasibility of speckle tracking was 83% in controls but only 61% in patients with TTTS. Myocardial velocity and displacement increased over gestation, and regional differences were present within each wall and between walls. Strain and strain rate were stable within each wall but were higher in the right ventricle than in the left ventricle and septum. Right ventricular strain was decreased in patients with TTTS compared with controls (0.75+/-0.34 vs 1.00+/-0.37 multiples of the median, P=.04).
Conclusion: The feasibility of speckle tracking is low when imaging conditions are challenging, but it can identify right ventricular failure in selected patients with TTTS.
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http://dx.doi.org/10.1016/j.echo.2009.12.024 | DOI Listing |
BMC Pediatr
November 2024
Department of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Objective: The identification of risk factors is crucial for the clinical prevention and diagnosis of necrotizing enterocolitis (NEC). Monochorionic twins (MCT), due to the high genetic homogeneity, provided a valuable model for investigating the risk factors of various diseases. This study aimed to explore the risk factors for NEC using MCT.
View Article and Find Full Text PDFPrenat Diagn
November 2024
Maternal Fetal Medicine, Osaka Women's and Children's Hospital, Izumi, Japan.
JMIR Pediatr Parent
September 2024
Division of Fetal Intervention, Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School at UTHealth Houston, 6410 Fannin Street, Suite 201, Houston, TX, 77030, United States, 1 (832) 325 7288, 1 713 383 1464.
Med Image Anal
January 2025
Harvard Medical School, Boston, MA, United States of America; Center for Advanced Medical Computing and Simulation, Massachusetts General Hospital, Boston, MA, United States of America. Electronic address:
Prenat Diagn
November 2024
Division of Fetal Medicine, Department of Obstetrics, Leiden University Medical Center, Leiden, The Netherlands.
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