ArticleInsights into imaging2012
A systematic approach for analysis, interpretation, and reporting of coronary CTA studies.
Article in Insights into imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed.
- Comparison of Non-Invasive and Invasive Diagnostic Methods for Coronary Artery Disease: Single-Centre Data.Medicina (Kaunas, Lithuania) · 2026Article
- Deep learning-assisted 3D CT angiography for supply-vessel localization in inflammatory peripheral pulmonary artery pseudoaneurysms.Frontiers in medicine · 2026Article
- Coronary Computed Tomography Angiography to Guide Percutaneous Coronary Intervention: Expert Opinion from a SCAI/SCCT Roundtable.Journal of the Society for Cardiovascular Angiography & Interventions · 2025Article
- Perivascular fat attenuation index value and plaque volume increased in non-target lesions of coronary arteries after stenting.European radiology · 2024Article
- Communicating difficult news in pediatric radiology.Pediatric radiology · 2024Review
- Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors.Diagnostics (Basel, Switzerland) · 2022Article
- Coronary Computer Tomography Angiography in 2021-Acquisition Protocols, Tips and Tricks and Heading beyond the Possible.Diagnostics (Basel, Switzerland) · 2021Review
- Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence.Interventional cardiology (London, England) · 2021Review
- Dual-source computed tomography coronary artery imaging in children.Pediatric radiology · 2019Review
- Article
- Cinematic rendering - an alternative to volume rendering for 3D computed tomography imaging.Insights into imaging · 2016Review
- Cardiac multidetector computed tomography in infective endocarditis: a pictorial essay.Insights into imaging · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past years, the number of coronary computed tomography angiography (CTA) studies performed worldwide has been steadily increasing. Performing a coronary CTA study with appropriate protocols tailored to the individual patient and clinical question is mandatory to obtain an image quality that is diagnostic for the study purpose. This process can be considered the primary mainstay of each coronary CTA study. The secondary mainstay is represented by the correct analysis and interpretation of the acquired data, as well as reporting of the pertinent imaging findings to the referring physician. The latter process requires knowledge of the advantages and disadvantages of various post-processing methods. In addition, a standardized approach can be helpful to avoid false-positive and false-negative findings regarding the presence or absence of coronary artery disease. By implementing various radiation dose reduction techniques, care needs to be taken to keep the radiation dose of coronary CTA as low as reasonably achievable while maintaining the diagnostic capacity of the examination. This review describes a practical approach to the analysis and interpretation of coronary CTA data, including the standardized reporting of the relevant imaging findings to the referring physicians.
Identifiers
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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.