ADOPT: Improving Diagnosis of Pulmonary Hypertension With AI and Echo

Summary

Pulmonary Hypertension (PH) is a condition caused by high blood pressure in the blood vessels that carry blood to the lungs. It can cause severe breathlessness and failure of the right side of the heart. Sadly it is often fatal, and life expectancy ranges from months to years. For some subtypes of PH, effective treatments exist which can improve life expectancy and quality-of-life. Accurate tools for the assessment of PH are therefore essential so that life-saving medications can be started earlier.

In existing diagnostic pathways, evidence for the suspicion of PH is frequently overlooked, significantly delaying the time to diagnosis. Echocardiography (echo) is a quick, safe and well-tolerated test requested to investigate breathless patients, and which can provide useful information about the suspicion of PH. However, outside of specialist PH centres, doctors may not routinely look for and comment on the presence of clues to possible PH.

The investigators think that using Artificial Intelligence (AI) techniques to read echo's could make their interpretation faster and more reliable. There may also be subtle clues to the presence or severity of PH on echo, less recognisable to the human eye, which AI can identify.

In this study the investigators will gather echo images from 5 specialist PH hospitals across the UK which have all been anonymised (patient's name and personal details removed). These will all be historic scans (i.e. have already taken place) and will be grouped into those with PH present (including PH sub-type) or absent. These anonymised echo images will be used to develop and train an AI tool to identify scans where PH is present, including which specific type of PH may be present. The developed AI tool will then be tested on a separate group of scans (not used in the training stage) to validate its performance.

Conditions

• Pulmonary Hypertension

Interventions

DIAGNOSTIC_TEST

Artificial intelligence tool for transthoracic echocardiography

Pre-defined cohorts will be used to train the artificial intelligence tool for transthoracic echocardiography to improve the diagnosis of PH on TTE.

Sponsors & Collaborators

• Janssen Research & Development, LLC

  collaborator INDUSTRY

• Royal Free Hospital NHS Foundation Trust

  collaborator OTHER

• Sheffield Teaching Hospitals NHS Foundation Trust

  collaborator OTHER

• Papworth Hospital NHS Foundation Trust

  collaborator OTHER_GOV

• NHS Golden Jubilee National Hospital Glasgow

  collaborator UNKNOWN

• Royal United Hospitals Bath NHS Foundation Trust

  lead OTHER

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2023-12-01

Primary Completion

2025-12-01

Completion

2025-12-01

Countries

• United Kingdom

Study Locations