ReviewJournal of the American College of Cardiology2024
Novel Techniques in Imaging Congenital Heart Disease: JACC Scientific Statement.
Review in Journal of the American College of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation: An Updated Checklist.JACC. Cardiovascular imaging · 2026Guideline
- Acupuncture for Migraine Without Aura and Connection-Based Efficacy Prediction: A Randomized Clinical Trial.JAMA network open · 2026Trial
- Multimodal imaging in discriminating atrial septal defect combined with mobile echoic strands in fossa ovalis: a case report.European heart journal. Case reports · 2026Article
- Coronary Arterial Anomalies in Adults with Congenital Heart Disease: From Detection to Management Strategies.Journal of cardiovascular development and disease · 2026Review
- Backward Aortic Flow Is Associated with Impaired Left Ventricular Mechanics in Young Adults with Bicuspid Aortic Valve: A Prospective Cardiovascular Magnetic Resonance Study.Journal of clinical medicine · 2026Article
- Artificial Intelligence as an Add-On Instrument in Fetal Ultrasound; Sonographers' and Obstetricians' Expectations.Prenatal diagnosis · 2026Article
- The role of artificial intelligence in pediatric cardiovascular imaging: clinical applications and future directions in computed tomography and magnetic resonance imaging.Pediatric radiology · 2026Review
- Bringing paediatric coronary artery abnormalities into view: the role of virtual reality.European heart journal. Imaging methods and practice · 2026Article
- Congenital heart defects - diagnosis and treatment.Scientific reports · 2026Article
- SecondaryJournal of clinical medicine · 2026Article
- Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning.Bioengineering (Basel, Switzerland) · 2026Article
- Impact of Contour Boundary Offsets on 4D Flow CMR-Derived Intracardiac Haemodynamic Parameters.Journal of cardiovascular development and disease · 2026Article
- Artificial intelligence, extended reality and computational modelling in cross-sectional cardiovascular imaging in congenital heart disease: a narrative review.Cardiovascular diagnosis and therapy · 2026Review
- Multimodality Approach to Coronary Ischemic Testing in Pediatric Patients: A Scientific Statement From the American Heart Association.Journal of the American Heart Association · 2026Review
- Generative deep learning for foundational video translation in ultrasound.Scientific reports · 2026Article
- Diagnostic Performance of Cardiac CT and Transthoracic Echocardiography in Congenital Heart Disease: A Surgical Correlation Study.Diagnostics (Basel, Switzerland) · 2026Article
- Ultrasound in cardiovascular care: a perspective on preventive, diagnostic, and monitoring applications.Frontiers in cardiovascular medicine · 2026Article
- Reduction of radiation exposure and preserved image quality using photon-counting detector cardiac computed tomography without electrocardiographic gating in children with congenital heart disease.European radiology · 2026Article
- Three-Dimensional Echocardiography in Congenital Heart Disease: Comparison with Pathologic Specimens-A Case Series.CASE (Philadelphia, Pa.) · 2025Article
- Usability Evaluation of a Mixed Reality Platform in Pediatric Interventional Cardiology by Specialist Physicians: Mixed Methods Study.JMIR formative research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Recent years have witnessed exponential growth in cardiac imaging technologies, allowing better visualization of complex cardiac anatomy and improved assessment of physiology. These advances have become increasingly important as more complex surgical and catheter-based procedures are evolving to address the needs of a growing congenital heart disease population. This state-of-the-art review presents advances in echocardiography, cardiac magnetic resonance, cardiac computed tomography, invasive angiography, 3-dimensional modeling, and digital twin technology. The paper also highlights the integration of artificial intelligence with imaging technology. While some techniques are in their infancy and need further refinement, others have found their way into clinical workflow at well-resourced centers. Studies to evaluate the clinical value and cost-effectiveness of these techniques are needed. For techniques that enhance the value of care for congenital heart disease patients, resources will need to be allocated for education and training to promote widespread implementation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.