Computed Tomography Angiography
"Computed Tomography Angiography" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A non-invasive method that uses a CT scanner for capturing images of blood vessels and tissues. A CONTRAST MATERIAL is injected, which helps produce detailed images that aid in diagnosing VASCULAR DISEASES.
| Descriptor ID |
D000072226
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| MeSH Number(s) |
E01.370.350.350.810.335 E01.370.350.567.250 E01.370.350.600.350.700.810.335 E01.370.350.700.700.810.335 E01.370.350.700.810.810.568 E01.370.350.825.810.810.499
|
| Concept/Terms |
Computed Tomography Angiography- Computed Tomography Angiography
- Angiographies, Computed Tomography
- Computed Tomography Angiographies
- Tomography Angiographies, Computed
- Tomography Angiography, Computed
- Angiography, CT
- Angiography, Computed Tomography
- CT Angiography
- Angiographies, CT
- CT Angiographies
|
Below are MeSH descriptors whose meaning is more general than "Computed Tomography Angiography".
Below are MeSH descriptors whose meaning is more specific than "Computed Tomography Angiography".
This graph shows the total number of publications written about "Computed Tomography Angiography" by people in this website by year, and whether "Computed Tomography Angiography" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2015 | 0 | 1 | 1 |
| 2016 | 0 | 1 | 1 |
| 2018 | 1 | 1 | 2 |
| 2019 | 1 | 0 | 1 |
| 2020 | 1 | 0 | 1 |
| 2021 | 1 | 1 | 2 |
| 2022 | 0 | 1 | 1 |
| 2024 | 1 | 0 | 1 |
| 2025 | 2 | 1 | 3 |
| 2026 | 0 | 2 | 2 |
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Below are the most recent publications written about "Computed Tomography Angiography" by people in Profiles.
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Pericoronary adipose tissue as a biomarker of coronary atherosclerosis and cardiovascular risk in rheumatoid arthritis. Rheumatology (Oxford). 2026 May 05; 65(5).
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Pericoronary fat attenuation and its association with atherosclerosis in rheumatoid arthritis compared with controls: a cross-sectional study. RMD Open. 2026 Mar 24; 12(1).
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AI-quantified epicardial adipose tissue and prediction of future myocardial infarction in patients with cardiometabolic disease: a post-hoc analysis from the SCOT-HEART trial. Cardiovasc Diabetol. 2025 Oct 22; 24(1):403.
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Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial. Heart. 2025 Jun 26; 111(14):686-694.
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Coronary computed tomography angiography to guide percutaneous coronary intervention: Expert opinion from a SCAI/SCCT roundtable. J Cardiovasc Comput Tomogr. 2025 May-Jun; 19(3):277-290.
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Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis. Circ Cardiovasc Imaging. 2024 Oct; 17(10):e016958.
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Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study. Lancet Digit Health. 2022 04; 4(4):e256-e265.
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Epicardial Adipose Tissue Volume As a Marker of Subclinical Coronary Atherosclerosis in Rheumatoid Arthritis. Arthritis Rheumatol. 2021 08; 73(8):1412-1420.
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FFRCT : Getting better all the time (but not there yet). Catheter Cardiovasc Interv. 2021 03; 97(4):623-624.
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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study. Cardiovasc Res. 2020 12 01; 116(14):2216-2225.