Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorImperial College London
About this trial
Cardiac MRI (CMR) scanning allows doctors to create detailed images of the heart. However, the need for experienced cardiac radiographers to perform each scan can make CMR's delivery difficult, and some patients in the UK wait more than half a year for a scan. These radiographers must take pictures of different part of the heart, termed "views", each of which must be precisely positioned.
The investigators believe they can revolutionise CMR, by using artificial intelligence to automatically position the views so radiographers can focus on more difficult tasks.
The investigators have used a retrospective database of pseudonymised (anonymised and linked) CMR scans at our hospital to create these artificial intelligence (AI) algorithms, and they have validated them retrospectively on previous studies. The investigators now wish to test the algorithms prospectively.
In this study, the investigators will recruit patients undergoing clinical CMR scans. In addition to the routine images acquired by expert radiographers, the investigators will require a duplicate set of images, positioned and planned by the AI algorithms.
The investigators will then compare, within each patient, the AI-planned and expert-radiographer-planned scanning in terms of both speed and image quality.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Adult (aged at least 18 years)
Disqualifiers
Children (patients below age 18).
Pregnant patients.
Trial design
Design model
Crossover
Treatments tested in this trial
AI-assisted cardiac magnetic resonance imaging
Diagnostic testAn AI algorithm will be used to automatically position (plan) the scan planes used in a cardiac MRI scan. The resultant images will be compared with standard radiographer-positioned images.
Treatment groups
150 Participants
are divided into 2 treatment groupsGroup A: AI-planned images acquiredExperimental treatment 1 intervention
Group B: Radiographer-planned images acquiredActive comparator 1 intervention
Trial outcomes
Primary outcomes
1
Time taken to acquire images
The time taken in seconds from the beginning of the planning process, until the last planned images has been fully acquired.
Time frame
During the MRI scan2
Image quality
Quality of acquired images (AI-planning versus radiographer planning) assessed by level 3 cardiac MRI accredited doctors, by asking them to choose whether (a) the AI-acquired image is of higher diagnostic quality, (b) the radiographer-acquired image is of higher diagnostic quality, or (c) the AI- and radiographer-acquired images are of identical diagnostic quality.
Time frame
During the MRI scanSponsors and contacts
Click on the lead sponsor to view all of their trials.
Imperial College London
Lead sponsor
British Heart Foundation
Collaborator
Medical Research Council
Collaborator
Rosetrees Trust
Collaborator
Source ClinicalTrials.gov