Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation

Cardiovascular Diseases Clinical Trial

— AID-MR  

Official title:

Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT06061822
• Other study ID #: 23HH8238
• Status: Not yet recruiting
• Phase: N/A
• Start date: May 1, 2024
• Est. completion date: December 1, 2027

Study information

• Verified date: March 2024
• Source: Imperial College London
• Contact: James P Howard, MB BChir PhD
• Phone: +44 207 594 5735
• Email: james.howard1[@]imperial.ac.uk
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

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.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 150
• Est. completion date: December 1, 2027
• Est. primary completion date: December 1, 2027
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Adult (aged at least 18 years)

Exclusion Criteria:

• Children (patients below age 18).

• Pregnant patients.

Related Conditions & MeSH terms

• Cardiovascular Diseases
• Healthy Volunteers

Intervention

Diagnostic Test:
• AI-assisted cardiac magnetic resonance imaging
An 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.

Locations

Country	Name	City	State
n/a

Sponsors (4)

Lead Sponsor	Collaborator
Imperial College London	British Heart Foundation, Medical Research Council, Rosetrees Trust

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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.	During the MRI scan
Primary	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.	During the MRI scan