AI Article Synopsis
- Imaging is essential for diagnosing and managing heart disease, making it a critical skill for cardiologists.
- The European Society of Cardiology and European Association of Cardiovascular Imaging have created a comprehensive education and certification program for cardiac imaging.
- Competency in cardiac imaging is crucial for ensuring high-quality patient care, covering all stages from test selection to result sharing.
Article Abstract
Imaging plays an integral role in all aspects of managing heart disease and cardiac imaging is a core competency of cardiologists. The adequate delivery of cardiac imaging services requires expertise in both imaging methodology-with specific adaptations to imaging of the heart-as well as intricate knowledge of heart disease. The European Society of Cardiology (ESC) and the European Association of Cardiovascular Imaging have developed and implemented a successful education and certification programme for all cardiac imaging modalities. This programme equips cardiologists to provide high quality competency-based cardiac imaging services ensuring they are adequately trained and competent in the entire process of cardiac imaging, from the clinical indication via selecting the best imaging test to answer the clinical question, to image acquisition, analysis, interpretation, storage, repository, and results dissemination. This statement emphasizes the need for competency-based cardiac imaging delivery which is key to optimal, effective and efficient, patient care.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610731 | PMC |
| http://dx.doi.org/10.1093/ehjci/jead216 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Objective: While the association of a syrinx with a tethered spinal cord in the context of VACTERL (vertebral defects [V], imperforate anus or anal atresia [A], cardiac malformations [C], tracheoesophageal defects [T] with or without esophageal atresia [E], renal anomalies [R], and limb defects [L]) association is known, the incidence of idiopathic syrinxes among these patients has not previously been reported. The authors aimed to characterize the incidence of syrinxes and the pattern of congenital anomalies in pediatric patients with VACTERL association, with a specific focus on the presence of idiopathic syrinxes in this population.
Methods: An institutional database was retrospectively queried for all pediatric patients with VACTERL association.
Prognostic value of left atrioventricular coupling index in heart failure.
Eur Heart J Cardiovasc Imaging
January 2025
Heart Institute, Department of Cardiology. Germans Trias i Pujol University Hospital, Barcelona,Spain.
Aims: To investigate the distribution of left atrioventricular coupling index (LACI) among patients with heart failure and left ventricular ejection fraction (LVEF)<50% and to explore its association with the combined endpoint of all-cause death or HF hospitalization at long term follow-up.
Methods And Results: Patients with HF and LVEF<50% undergoing cardiac magnetic resonance (CMR) were evaluated. Patients with atrial fibrillation or flutter were excluded.
Unsupervised clustering of intraventricular hemodynamic forces for the phenotyping of left-ventricular function in non-ischemic left ventricular cardiomyopathy.
Eur Heart J Cardiovasc Imaging
January 2025
Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
Background: Cardiac magnetic resonance (CMR) is essential for diagnosing cardiomyopathy, serving as the gold standard for assessing heart chamber volumes and tissue characterization. Hemodynamic forces (HDF) analysis, a novel approach using standard cine CMR images, estimates energy exchange between the left ventricular (LV) wall and blood. While prior research has focused on peak or mean longitudinal HDF values, this study aims to investigate whether unsupervised clustering of HDF curves can identify clinically significant patterns and stratify cardiovascular risk in non-ischemic LV cardiomyopathy (NILVC).
View Article and Find Full Text PDFCardiac MR image reconstruction using cascaded hybrid dual domain deep learning framework.
PLoS One
January 2025
Medical Image Processing Research Group (MIPRG), Dept. of Elect. & Comp. Engineering, COMSATS University Islamabad, Islamabad, Pakistan.
Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research focus, particularly in addressing cardiac and respiratory motion. Techniques such as Compressed Sensing (CS) and Parallel Imaging (pMRI) have been proposed to accelerate MRI data acquisition and improve image quality. However, these methods have limitations in high spatial-resolution applications, often resulting in blurring or residual artifacts.
View Article and Find Full Text PDFRetrospective analysis of clinical characteristics and treatment differences between severe and non-severe neonatal types of pneumonia with RSV infection.
Medicine (Baltimore)
January 2025
Precision Medical Center, Wuhan Childrens Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Understanding the differences between children with severe and non-severe types of neonatal pneumonia is crucial for clinical treatment and disease management. In this study, we retrospectively analyzed the clinical data of infants with neonatal pneumonia diagnosed as respiratory syncytial virus infection at Wuhan Children's Hospital between December 1, 2022 and November 30, 2023. Further, the recruited subjects were categorized into severe and non-severe groups based on the severity score.
View Article and Find Full Text PDFWant 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!