Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation (AID-MR)

Imperial College London

Status: Enrolling

Conditions: Healthy Volunteers; Cardiovascular Diseases

Treatments: Diagnostic Test: AI-assisted cardiac magnetic resonance imaging

Study type: Interventional

Funder types: Other

Identifiers

NCT06061822

23HH8238

Details and patient eligibility

About

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.

Enrollment: 150 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Adult (aged at least 18 years)

Exclusion criteria

• Children (patients below age 18).
• Pregnant patients.

Trial design

Primary purpose: Diagnostic

Allocation: Randomized

Interventional model: Crossover Assignment

Masking: Double Blind

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150 participants in 2 patient groups

AI-planned images acquired

Experimental group

Treatment:

Diagnostic Test: AI-assisted cardiac magnetic resonance imaging

Radiographer-planned images acquired

Active Comparator group

Treatment:

Diagnostic Test: AI-assisted cardiac magnetic resonance imaging