PROTEUS Study: A Prospective Randomized Controlled Trial Evaluating the Use of Artificial Intelligence in Stress Echocardiography

Gary Woodward, Mamta Bajre, Sanjeev Bhattacharyya, Maria Breen, Virginia Chiocchia, Helen Dawes, Hakim Moulay Dehbi, Tine Descamps, Elena Frangou, Carol Ann Fazakarley, Victoria Harris, Will Hawkes, Oliver Hewer, Casey L. Johnson, Samuel Krasner, Lynn Laidlaw, Jonathan Lau, Tom Marwick, Steffen E. Petersen, Hania PiotrowskaGed Ridgeway, David P. Ripley, Emily Sanderson, Natalie Savage, Rizwan Sarwar, Louise Tetlow, Ben Thompson, Samantha Thulborn, Victoria Williamson, William Woodward, Ross Upton, Paul Leeson

Research output: Contribution to journalArticlepeer-review

6 Citations (SciVal)

Abstract

Background: Stress echocardiography (SE) is one of the most commonly used diagnostic imaging tests for coronary artery disease (CAD) but requires clinicians to visually assess scans to identify patients who may benefit from invasive investigation and treatment. EchoGo Pro provides an automated interpretation of SE based on artificial intelligence (AI) image analysis. In reader studies, use of EchoGo Pro when making clinical decisions improves diagnostic accuracy and confidence. Prospective evaluation in real world practice is now important to understand the impact of EchoGo Pro on the patient pathway and outcome. 

Methods: PROTEUS is a randomized, multicenter, 2-armed, noninferiority study aiming to recruit 2,500 participants from National Health Service (NHS) hospitals in the UK referred to SE clinics for investigation of suspected CAD. All participants will undergo a stress echocardiogram protocol as per local hospital policy. Participants will be randomized 1:1 to a control group, representing current practice, or an intervention group, in which clinicians will receive an AI image analysis report (EchoGo Pro, Ultromics Ltd, Oxford, UK) to use during image interpretation, indicating the likelihood of severe CAD. The primary outcome will be appropriateness of clinician decision to refer for coronary angiography. Secondary outcomes will assess other health impacts including appropriate use of other clinical management approaches, impact on variability in decision making, patient and clinician qualitative experience and a health economic analysis. 

Discussion: This will be the first study to assess the impact of introducing an AI medical diagnostic aid into the standard care pathway of patients with suspected CAD being investigated with SE. 

Trial Registration: Clinicaltrials.gov registration number NCT05028179, registered on 31 August 2021; ISRCTN: ISRCTN15113915; IRAS ref: 293515; REC ref: 21/NW/0199.

Original languageEnglish
Pages (from-to)123-132
Number of pages10
JournalAmerican Heart Journal
Volume263
Early online date14 May 2023
DOIs
Publication statusPublished - 30 Sept 2023

Funding

This research was funded by the Artificial Intelligence in Health and Care Award, a competitive process run by the ACC in partnership with NHSx and the NIHR. The views expressed are those of the authors and not necessarily those of the NHSx, the NIHR or AAC. The funding body had oversight of the design of the protocol, but no involvement in the writing of this manuscript.

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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