Share:
Peer-Reviewed Publication
JACC Cardiovasc Imaging2026;19(6):706-716.June 1, 2026Journal Article

Guiding Preventive Care Strategies for Patients With Atherosclerotic Plaque on Coronary CTA: Primary Outcomes of the DECIDE Registry.

Sarah Rinehart1, Ron Blankstein2, Cian P McCarthy3, James L Januzzi3, Markus Scherer4, Wesley T O'Neal5, Philip Green6, Joseph Puma6, Frank Corrigan7, Jaydip Datta8, Jens Eichhorn4, Thomas Stuckey5, Omar Khalique9, Ziad Ali9, Nicholas Ng10, Whitney Huey10, Sarah Mullen10, Campbell Rogers10, Leslee J Shaw11,
1Charleston Area Medical Center, Charleston, West Virginia, USA. Electronic address: sarah.rinehart@vandaliahealth.org.
2Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
3Heart and Vascular Institute, Massachusetts General Brigham and Harvard Medical School, Boston, Massachusetts, USA; Baim Institute for Clinical Research, Boston, Massachusetts, USA.
4Atrium Health Sanger Heart and Vascular Institute, Charlotte, North Carolina, USA.
5Cone Heart and Vascular Center, Greensboro, North Carolina, USA.
6Sorin Medical, New York, New York, USA.
7Wellstar Medical Group, Marietta, Georgia, USA.
8Quantum Radiology, Marietta, Georgia, USA.
9Saint Francis Hospital and Heart Center, Roslyn, New York, USA.
10Heartflow, Inc, Mountain View, California, USA.
11Blavatnik Family Research Institute, Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Abstract

BACKGROUND: Artificial intelligence-enabled coronary plaque analysis (AI-CPA) has been shown to improve cardiovascular risk prediction. However, little is known about how these measures influence management. OBJECTIVES: This study sought to define changes in management guided by AI-CPA as compared with management guided by measures of nonobstructive and obstructive stenosis on coronary computed t…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.