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PROTEUS Study: A Prospective Randomized Controlled Trial Evaluating the Use of Artificial Intelligence in Stress Echocardiography.
Woodward, Gary; Bajre, Mamta; Bhattacharyya, Sanjeev; Breen, Maria; Chiocchia, Virginia; Dawes, Helen; Dehbi, Hakim-Moulay; Descamps, Tine; Frangou, Elena; Fazakarley, Carol-Ann; Harris, Victoria; Hawkes, Will; Hewer, Oliver; Johnson, Casey L; Krasner, Samuel; Laidlaw, Lynn; Lau, Jonathan; Marwick, Tom; Petersen, Steffen E; Piotrowska, Hania; Ridgeway, Ged; Ripley, David P; Sanderson, Emily; Savage, Natalie; Sarwar, Rizwan; Tetlow, Louise; Thompson, Ben; Thulborn, Samantha; Williamson, Victoria; Woodward, William; Upton, Ross; Leeson, Paul.
Afiliação
  • Woodward G; Ultromics Ltd., Oxford, UK.
  • Bajre M; Oxford Academic Health Science Network, Magdalen Centre-Whitehead Building, Oxford, UK.
  • Bhattacharyya S; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK.
  • Breen M; Ultromics Ltd., Oxford, UK.
  • Chiocchia V; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Dawes H; Oxford Clinical Allied Technology and Trial Services Unit, Oxford Brookes University, Oxford, UK.
  • Dehbi HM; UCL Comprehensive Clinical Trials Unit, University College London, London, UK.
  • Descamps T; Ultromics Ltd., Oxford, UK.
  • Frangou E; MRC Clinical Trials Unit at UCL, London, UK.
  • Fazakarley CA; Ultromics Ltd., Oxford, UK.
  • Harris V; Department of Primary Health Care Sciences, University of Oxford, Oxford, UK.
  • Hawkes W; Ultromics Ltd., Oxford, UK.
  • Hewer O; Ultromics Ltd., Oxford, UK.
  • Johnson CL; Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
  • Krasner S; Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
  • Laidlaw L; British Society of Echocardiography. (BSE) Wavelength PPI group member, NIHR and BMJ lay reviewer.
  • Lau J; Ultromics Ltd., Oxford, UK.
  • Marwick T; Baker Heart and Diabetes Institute, Melbourne Victoria, Australia.
  • Petersen SE; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, UK.
  • Piotrowska H; Ultromics Ltd., Oxford, UK.
  • Ridgeway G; Oxford Brain Diagnostics Ltd, Oxford Centre for Innovation, Oxford, UK.
  • Ripley DP; School of Medicine, Faculty of Health Sciences and Wellbeing, University of Sunderland, London, UK.
  • Sanderson E; Ultromics Ltd., Oxford, UK.
  • Savage N; Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
  • Sarwar R; Ultromics Ltd., Oxford, UK.
  • Tetlow L; Ultromics Ltd., Oxford, UK.
  • Thompson B; Ultromics Ltd., Oxford, UK.
  • Thulborn S; Ultromics Ltd., Oxford, UK.
  • Williamson V; Ultromics Ltd., Oxford, UK.
  • Woodward W; Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
  • Upton R; Ultromics Ltd., Oxford, UK.
  • Leeson P; Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK. Electronic address: paul.leeson@cardiov.ox.ac.uk.
Am Heart J ; 263: 123-132, 2023 09.
Article em En | MEDLINE | ID: mdl-37192698
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Ecocardiografia sob Estresse Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Am Heart J Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Ecocardiografia sob Estresse Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Am Heart J Ano de publicação: 2023 Tipo de documento: Article