Impact of atherosclerosis imaging-quantitative computed tomography on diagnostic certainty, downstream testing, coronary revascularization, and medical therapy: the CERTAIN study

Author:

Nurmohamed Nick S123ORCID,Cole Jason H4,Budoff Matthew J5ORCID,Karlsberg Ronald P6,Gupta Himanshu7,Sullenberger Lance E8,Quesada Carlos G6,Rahban Habib6,Woods Kevin M8,Uzzilia Jeffrey R8,Purga Scott L8,Aquino Melissa9,Hoffmann Udo9,Min James K9,Earls James P39,Choi Andrew D3

Affiliation:

1. Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam , Meibergdreef 9, 1105 AZ Amsterdam , The Netherlands

2. Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam , Meibergdreef 9, 1105 AZ Amsterdam , The Netherlands

3. Division of Cardiology, Department of Radiology, The George Washington University School of Medicine , Washington, DC , USA

4. Cardiology Associates of Mobile , Mobile, AL , USA

5. Lundquist Institute at Harbor-UCLA Medical Center, Torrance , CA , USA

6. Cardiovascular Research Foundation of Southern California, Cedars-Sinai Heart Institute , Beverly Hills, CA

7. Division of Cardiac Imaging, Valley Heart and Vascular Institute, Valley Health System , Ridgewood, NJ , USA

8. Capital Cardiology Associates , Albany, NY , USA

9. Cleerly Inc. , Denver, CO , USA

Abstract

Abstract Aims The incremental impact of atherosclerosis imaging-quantitative computed tomography (AI-QCT) on diagnostic certainty and downstream patient management is not yet known. The aim of this study was to compare the clinical utility of the routine implementation of AI-QCT versus conventional visual coronary CT angiography (CCTA) interpretation. Methods and results In this multi-centre cross-over study in 5 expert CCTA sites, 750 consecutive adult patients referred for CCTA were prospectively recruited. Blinded to the AI-QCT analysis, site physicians established patient diagnoses and plans for downstream non-invasive testing, coronary intervention, and medication management based on the conventional site assessment. Next, physicians were asked to repeat their assessments based upon AI-QCT results. The included patients had an age of 63.8 ± 12.2 years; 433 (57.7%) were male. Compared with the conventional site CCTA evaluation, AI-QCT analysis improved physician’s confidence two- to five-fold at every step of the care pathway and was associated with change in diagnosis or management in the majority of patients (428; 57.1%; P < 0.001), including for measures such as Coronary Artery Disease-Reporting and Data System (CAD-RADS) (295; 39.3%; P < 0.001) and plaque burden (197; 26.3%; P < 0.001). After AI-QCT including ischaemia assessment, the need for downstream non-invasive and invasive testing was reduced by 37.1% (P < 0.001), compared with the conventional site CCTA evaluation. Incremental to the site CCTA evaluation alone, AI-QCT resulted in statin initiation/increase an aspirin initiation in an additional 28.1% (P < 0.001) and 23.0% (P < 0.001) of patients, respectively. Conclusion The use of AI-QCT improves diagnostic certainty and may result in reduced downstream need for non-invasive testing and increased rates of preventive medical therapy.

Funder

Cleerly Inc

De Drie Lichten

Publisher

Oxford University Press (OUP)

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