van Rosendael, Alexander R; Crabtree, Tami; Bax, Jeroen J; Nakanishi, Rine; Mushtaq, Saima; Pontone, Gianluca; Andreini, Daniele; Buechel, Ronny R; Gräni, Christoph; Feuchtner, Gudrun; Patel, Toral R; Choi, Andrew D; Al-Mallah, Mouaz; Nabi, Faisal; Karlsberg, Ronald P; Rochitte, Carlos E; Alasnag, Mirvat; Hamdan, Ashraf; Cademartiri, Filippo; Marques, Hugo; ... (2024). Rationale and design of the CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) study. Journal of cardiovascular computed tomography, 18(1), pp. 11-17. Elsevier 10.1016/j.jcct.2023.10.004
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BACKGROUND
In the last 15 years, large registries and several randomized clinical trials have demonstrated the diagnostic and prognostic value of coronary computed tomography angiography (CCTA). Advances in CT scanner technology and developments of analytic tools now enable accurate quantification of coronary artery disease (CAD), including total coronary plaque volume (TPV) and low attenuation plaque volume (LAP). The primary aim of CONFIRM2, (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) is to perform comprehensive quantification of CCTA findings, including coronary, non-coronary cardiac, non-cardiac vascular, non-cardiac findings, and relate them to clinical variables and cardiovascular clinical outcomes.
DESIGN
CONFIRM2 is a multicenter, international observational cohort study designed to evaluate multidimensional associations between quantitative phenotype of cardiovascular disease and future adverse clinical outcomes in subjects undergoing clinically indicated CCTA. The targeted population is heterogenous and includes patients undergoing CCTA for atherosclerotic evaluation, valvular heart disease, congenital heart disease or pre-procedural evaluation. Automated software will be utilized for quantification of coronary plaque, stenosis, vascular morphology and cardiac structures for rapid and reproducible tissue characterization. Up to 30,000 patients will be included from up to 50 international multi-continental clinical CCTA sites and followed for 3-4 years.
SUMMARY
CONFIRM2 is one of the largest CCTA studies to establish the clinical value of a multiparametric approach to quantify the phenotype of cardiovascular disease by CCTA using automated imaging solutions.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology |
UniBE Contributor: |
Gräni, Christoph |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1876-861X |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
14 Nov 2023 16:29 |
Last Modified: |
26 Feb 2024 00:13 |
Publisher DOI: |
10.1016/j.jcct.2023.10.004 |
PubMed ID: |
37951725 |
Uncontrolled Keywords: |
Artificial intelligence Atherosclerosis Computed tomography angiography Coronary artery disease Machine-learning Prognosis |
BORIS DOI: |
10.48350/188812 |
URI: |
https://boris.unibe.ch/id/eprint/188812 |
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