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PROTEUS Study: A Prospective Randomized Controlled Trial Evaluating the Use of Artificial Intelligence in Stress Echocardiography - 11/08/23

Doi : 10.1016/j.ahj.2023.05.003 
Gary Woodward, PhD 1, Mamta Bajre, MBBS 2, Sanjeev Bhattacharyya, TSC 3, Maria Breen, PhD 1, Virginia Chiocchia, DSMC 4, Helen Dawes, PhD 5, Hakim-Moulay Dehbi, PhD 6, Tine Descamps, PhD 1, Elena Frangou, TSC 7, Carol-Ann Fazakarley, BSc 1, Victoria Harris, DSMC 8, Will Hawkes, PhD 1, Oliver Hewer, MA 1, Casey L Johnson, MSc 9, Samuel Krasner, BA 9, Lynn Laidlaw, TSC , PPI chair 10, Jonathan Lau 1, Tom Marwick, TSC chair 11, Steffen E Petersen, DSMC 3, 12, Hania Piotrowska, BA 1, Ged Ridgeway, TSC 13, David P Ripley, TSC 14, Emily Sanderson, MSc 1, Natalie Savage, PhD 9, Rizwan Sarwar, MRCP 1, Louise Tetlow, PhD 1, Ben Thompson, PhD 1, Samantha Thulborn, BSc 1, Victoria Williamson, PhD 1, William Woodward, BSc 9, Ross Upton, PhD 1, Paul Leeson, PhD 9,
1 Ultromics Ltd., Oxford, UK 
2 Oxford Academic Health Science Network, Magdalen Centre—Whitehead Building, Oxford, UK 
3 Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK 
4 Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland 
5 Oxford Clinical Allied Technology and Trial Services Unit, Oxford Brookes University, Oxford, UK 
6 UCL Comprehensive Clinical Trials Unit, University College London, London, UK 
7 MRC Clinical Trials Unit at UCL, London, UK 
8 Department of Primary Health Care Sciences, University of Oxford, Oxford, UK 
9 Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK 
10 British Society of Echocardiography. (BSE) Wavelength PPI group member, NIHR and BMJ lay reviewer 
11 Baker Heart and Diabetes Institute, Melbourne Victoria, Australia 
12 William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, UK 
13 Oxford Brain Diagnostics Ltd, Oxford Centre for Innovation, Oxford, UK 
14 School of Medicine, Faculty of Health Sciences and Wellbeing, University of Sunderland, London, UK 

Reprint requests: Paul Leeson, Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, Level 1, John Radcliffe Hospital, Oxford OX3 9DU, UK.Cardiovascular Clinical Research FacilityRDM Division of Cardiovascular Medicine, University of OxfordOxfordOX3 9DUUK

Riassunto

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.

Il testo completo di questo articolo è disponibile in PDF.

Abbreviations : AAC, AI, AUROC, CAD, CMR, CTCA, DSMC, eCRF, EDC, EQ-5D-5L, GLMM, HRA, ICF, IEP, MAR, MNAR, MPS, NHS, NIHR, PACS, PIL, REC, ROC, SAQ-7, SE, TSC, VPN


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© 2023  The Author(s). Pubblicato da Elsevier Masson SAS. Tutti i diritti riservati.
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