NCT06061822

Brief 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.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
150

participants targeted

Target at P50-P75 for not_applicable cardiovascular-diseases

Timeline
19mo left

Started Sep 2025

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress30%
Sep 2025Dec 2027

First Submitted

Initial submission to the registry

September 18, 2023

Completed
11 days until next milestone

First Posted

Study publicly available on registry

September 29, 2023

Completed
1.9 years until next milestone

Study Start

First participant enrolled

September 9, 2025

Completed
2.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2027

Last Updated

August 22, 2025

Status Verified

August 1, 2025

Enrollment Period

2.2 years

First QC Date

September 18, 2023

Last Update Submit

August 18, 2025

Conditions

Cardiovascular DiseasesHealthy Volunteers

Outcome Measures

Primary Outcomes (2)

  • 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

  • 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

Study Arms (2)

AI-planned images acquired

EXPERIMENTAL
Diagnostic Test: AI-assisted cardiac magnetic resonance imaging

Radiographer-planned images acquired

ACTIVE COMPARATOR
Diagnostic Test: AI-assisted cardiac magnetic resonance imaging

Interventions

AI-assisted cardiac magnetic resonance imagingDIAGNOSTIC_TEST

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.

AI-planned images acquiredRadiographer-planned images acquired

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Adult (aged at least 18 years)

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Imperial College Healthcare NHS Trust

London, United Kingdom

RECRUITING

MeSH Terms

Conditions

Cardiovascular Diseases

Study Officials

  • James P Howard, MB BChir PhD

    Imperial College London

    PRINCIPAL INVESTIGATOR

Central Study Contacts

James P Howard, MB BChir PhD

CONTACT

+44 207 594 5735james.howard1@imperial.ac.uk

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, OUTCOMES ASSESSOR
Purpose
DIAGNOSTIC
Intervention Model
CROSSOVER
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 18, 2023

First Posted

September 29, 2023

Study Start

September 9, 2025

Primary Completion (Estimated)

December 1, 2027

Study Completion (Estimated)

December 1, 2027

Last Updated

August 22, 2025

Record last verified: 2025-08

Locations

GB(1)