ReviewFrontiers in cardiovascular medicine2024
Coronary angiography: a review of the state of the art and the evolution of angiography in cardio therapeutics.
Review in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic accuracy of coronary CT angiography versus invasive coronary angiography for detecting coronary artery disease: a systematic review and Bayesian meta-analysis.BMC medical imaging · 2026Pooled it
- Artificial Intelligence Powered Real-Time Coronary Stenosis Recognition and Quantification in Angiography.Journal of imaging informatics in medicine · 2026Article
- Experimental comparisons of optical coherence tomography-based versus angiography-based time-averaged wall shear stress estimations.The international journal of cardiovascular imaging · 2026Article
- Coronary Flow Reserve in Adults: Pathophysiology, Assessment Modalities, Clinical Applications, and Prognostic Significance.Medicina (Kaunas, Lithuania) · 2026Review
- The application of coronary CT angiography combined with dynamic electrocardiogram in the diagnosis of myocardial ischemia in coronary heart disease.Frontiers in cardiovascular medicine · 2026Article
- The Pullback Pressure Gradient: Transforming Invasive Coronary Physiology from Lesion Assessment to Disease Pattern Characterization-A Perspective.Medicina (Kaunas, Lithuania) · 2025Review
- Coronary Artery Supply to a Cardiac Mass.JACC. Case reports · 2025Article
- The Rise of Optical Coherent Tomography in Intracoronary Imaging: An Overview of Current Technology, Limitations, and Future Perspectives.Reviews in cardiovascular medicine · 2025Review
- Precision and Accuracy of Dimensional Assessment of Luminal Contours by Commercially Available Quantitative Angiography Software as a Prerequisite to Angiography Based FFR and Other Derived Parametrics.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025Article
- VM-CAGSeg: a vessel structure-aware state space model for coronary artery segmentation in angiography images.Frontiers in medicine · 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
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditionally, coronary angiography was restricted to visual estimation of contrast-filled lumen in coronary obstructive diseases. Over the previous decades, considerable development has been made in quantitatively analyzing coronary angiography, significantly improving its accuracy and reproducibility. Notably, the integration of artificial intelligence (AI) and machine learning into quantitative coronary angiography (QCA) holds promise for further enhancing diagnostic accuracy and predictive capabilities. In addition, non-invasive fractional flow reserve (FFR) indices, including computed tomography-FFR, have emerged as valuable tools, offering precise physiological assessment of coronary artery disease without the need for invasive procedures. These innovations allow for a more comprehensive evaluation of disease severity and aid in guiding revascularization decisions. This review traces the development of QCA technologies over the years, highlighting key milestones and current advancements. It also explores prospects that could revolutionize the field, such as AI integration and improved imaging techniques. By addressing both historical context and future directions, the article underscores the ongoing evolution of QCA and its critical role in the accurate assessment and management of coronary artery diseases. Through continuous innovation, QCA is poised to remain at the forefront of cardiovascular diagnostics, offering clinicians invaluable tools for improving patient care.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.