» Articles » PMID: 37951725

Rationale and Design of the CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) Study

Abstract

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 and low attenuation plaque volume. 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.

Citing Articles

Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients.

Scalia I, Pathangey G, Abdelnabi M, Ibrahim O, Abdelfattah F, Pereyra Pietri M Cancers (Basel). 2025; 17(4).

PMID: 40002200 PMC: 11852369. DOI: 10.3390/cancers17040605.


A Promising Pathway Toward Mitigation and Eradication of Coronary Artery Disease.

Karlsberg R, Cho G, Aldana-Bitar J Cardiol Res. 2024; 15(6):415-424.

PMID: 39698012 PMC: 11650573. DOI: 10.14740/cr1721.


Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.

Xia J, Bachour K, Suleiman A, Roberts J, Sayed S, Cho G Ther Adv Cardiovasc Dis. 2024; 18:17539447241303399.

PMID: 39625215 PMC: 11615974. DOI: 10.1177/17539447241303399.


Coronary risk stratification by cardiac CT assessment of atherosclerosis and flow.

van Rosendael A Int J Cardiovasc Imaging. 2024; 40(8):1613-1614.

PMID: 39210239 DOI: 10.1007/s10554-024-03225-5.

References
1.
Feuchtner G, Beyer C, Barbieri F, Spitaler P, Dichtl W, Friedrich G . The Atherosclerosis Profile by Coronary Computed Tomography Angiography (CTA) in Symptomatic Patients with Coronary Artery Calcium Score Zero. Diagnostics (Basel). 2022; 12(9). PMC: 9498007. DOI: 10.3390/diagnostics12092042. View

2.
Ehara S, Kobayashi Y, Yoshiyama M, Shimada K, Shimada Y, Fukuda D . Spotty calcification typifies the culprit plaque in patients with acute myocardial infarction: an intravascular ultrasound study. Circulation. 2004; 110(22):3424-9. DOI: 10.1161/01.CIR.0000148131.41425.E9. View

3.
Cho I, Chang H, Sung J, Pencina M, Lin F, Dunning A . Coronary computed tomographic angiography and risk of all-cause mortality and nonfatal myocardial infarction in subjects without chest pain syndrome from the CONFIRM Registry (coronary CT angiography evaluation for clinical outcomes: an.... Circulation. 2012; 126(3):304-13. DOI: 10.1161/CIRCULATIONAHA.111.081380. View

4.
Chang H, Lin F, Lee S, Andreini D, Bax J, Cademartiri F . Coronary Atherosclerotic Precursors of Acute Coronary Syndromes. J Am Coll Cardiol. 2018; 71(22):2511-2522. PMC: 6020028. DOI: 10.1016/j.jacc.2018.02.079. View

5.
Otaki Y, Gransar H, Berman D, Cheng V, Dey D, Lin F . Impact of family history of coronary artery disease in young individuals (from the CONFIRM registry). Am J Cardiol. 2013; 111(8):1081-6. DOI: 10.1016/j.amjcard.2012.12.042. View