Cardiac magnetic resonance imaging (CMR) is the gold-standard non-invasive method of assessing cardiac structure and function, including tissue characterisation. In systemic sclerosis (SSc), heart involvement (SHI) is a leading cause of mortality yet remains poorly understood. SHI is underestimated by conventional echocardiography, and CMR provides an important opportunity to better identify and quantify subtle myocardial changes including oedema and fibrosis. This review summarises current CMR techniques, the role of CMR in SSc and SHI, and the opportunities to further our understanding of its pathogenesis and management.
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http://dx.doi.org/10.1515/rir-2024-0011 | DOI Listing |
Neth Heart J
January 2025
Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, The Netherlands.
The European Society of Cardiology (ESC) has updated its guidelines on cardiac pacing and cardiac resynchronisation. As the majority are class II recommendations (61%) and based on expert opinion (59%), a critical appraisal for the Dutch situation was warranted. A working group has been established, consisting of specialists in cardiology, cardiothoracic surgery, geriatrics, allied professionals in cardiac pacing, and patient organisations with support from the Knowledge Institute of the Dutch Association of Medical Specialists.
View Article and Find Full Text PDFPediatr Radiol
January 2025
Department of Cardiology, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA.
The number of children with cardiac implantable electronic devices (CIEDs) is increasing at a time of rapid growth in cardiac magnetic resonance (MR) and cardiac computed tomography (CT) utilization. The presence of CIEDs poses challenges with respect to imaging safety and quality. A thoughtful approach to cardiovascular imaging in patients with CIEDs begins with an awareness of the clinical indications to determine the most appropriate imaging modality.
View Article and Find Full Text PDFJ Magn Reson Imaging
January 2025
Developing Brain Institute, Children's National Hospital, Washington, D.C., USA.
The biochemical composition and structure of the brain are in a rapid change during the exuberant stage of fetal and neonatal development. H-MRS is a noninvasive tool that can evaluate brain metabolites in healthy fetuses and infants as well as those with neurological diseases. This review aims to provide readers with an understanding of 1) the basic principles and technical considerations relevant to H-MRS in the fetal-neonatal brain and 2) the role of H-MRS in early fetal-neonatal development brain research.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Pediatric Cardiology, Pediatric Heart Center, Skåne University Hospital, Lund, Sweden.
Background: Recurrent coarctation of the aorta (re-CoA) is a well-known although not fully understood complication after surgical repair, typically occurring in 10%-20% of cases within months after discharge.
Objectives: To (1) characterize geometry of the aortic arch and blood flow from pre-discharge magnetic resonance imaging (MRI) in neonates after CoA repair; and (2) compare these measures between patients that developed re-CoA within 12 months after repair and patients who did not.
Methods: Neonates needing CoA repair, without associated major congenital heart defects, were included.
Proc IEEE Int Symp Biomed Imaging
May 2024
Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
Real-time dynamic MRI is important for visualizing time-varying processes in several applications, including cardiac imaging, where it enables free-breathing images of the beating heart without ECG gating. However, current real-time MRI techniques commonly face challenges in achieving the required spatio-temporal resolutions due to limited acceleration rates. In this study, we propose a deep learning (DL) technique for improving the estimation of stationary outer-volume signal from shifted time-interleaved undersampling patterns.
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