Introduction: The aim of this study was to evaluate the feasibility of identifying the fetal cardiac and thoracic vascular structures with non-gated dynamic balanced steady-state free precession (SSFP) MRI sequences.
Methods: We retrospectively assessed the visibility of cardiovascular anatomy in 60 fetuses without suspicion of congenital heart defect. Non-gated dynamic balanced SSFP sequences were acquired in three anatomic planes of the fetal thorax. The images were analyzed following a segmental approach in consensus reading by an experienced pediatric cardiologist and radiologist. An imaging score was defined by giving one point to each visualized structure, yielding a maximum score of 21 points. Image quality was rated from 0 (poor) to 2 (excellent). The influence of gestational age (GA), field strength, placenta position, and maternal panniculus on image quality and imaging score were tested.
Results: 30 scans were performed at 1.5T, 30 at 3T. Heart position, atria, and ventricles could be seen in all 60 fetuses. Basic diagnosis (>12 points) was achieved in 54 cases. The mean imaging score was 16.8+/-3.8. Maternal panniculus (r = -0.3; p = 0.015) and GA (r = 0.6; p < 0.001) correlated with imaging score. Field strength influenced image quality, with 1.5T being better than 3T images (p = 0.012). Imaging score or quality was independent of placenta position.
Conclusion: Fetal cardiac MRI with non-gated SSFP sequences enables recognition of basic cardiovascular anatomy.
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http://dx.doi.org/10.1159/000528966 | DOI Listing |
Am J Cancer Res
December 2024
Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Chang Gung University Taoyuan 33305, Taiwan.
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Department of Electrophysiology, North Mississippi Medical Center, Tupelo, Mississippi.
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June 2025
Department of Nuclear medicine, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
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Phys Imaging Radiat Oncol
October 2024
Université Paris-Saclay, Gustave Roussy, Inserm, Molecular Radiotherapy and Therapeutic Innovation, U1030, 94800 Villejuif, France.
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View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Centre for Mobile Innovation (CMI), Sheridan College, Oakville, Ontario, Canada.
In this paper, we introduce -a Mixed Reality (MR) system designed for healthcare professionals to monitor patients in wards or clinics. We detail the design, development, and evaluation of , which integrates real-time vital signs from a biosensor-equipped wearable, . The system generates holographic visualizations, allowing healthcare professionals to interact with medical charts and information panels holographically.
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