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AI-powered MRI lets heart patients breathe easy during scans

NCT ID NCT05105984

Diagnosis Sponsor: Centre Hospitalier Universitaire, Amiens Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether a new MRI technique using artificial intelligence (deep learning) can accurately measure heart function while patients breathe normally, instead of holding their breath. The standard method requires repeated breath-holds, which can be hard for people with heart disease. The study included 54 adults with ischemic heart disease. Researchers compared the AI-reconstructed free-breathing images to the classic breath-hold images to see if they gave similar results for left ventricular ejection fraction (a key measure of heart pumping strength).

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
free-breathing cardiac cine-MRI sequence with deep-learning image reconstruction
What this could lead to
If successful, this could make heart MRI scans easier and faster for patients who struggle to hold their breath, without losing image quality.
What could go wrong
This is a small, completed study with only 54 participants, so results may not apply to all patients. The AI reconstruction might not be as accurate as the standard method in some cases.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

54 people

The number who actually took part.

Started

Apr 2022

Finished

Jan 2024

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Cardiac MRI is one of the examinations prescribed as part of routine care for this pathology. When the patient come for a cardiac MRI in the workup for ischemic heart disease, the patient will be asked on the day of the exam if he agrees to participate in the study. An information letter will have been sent to the patient before the appointment is made. In the event that he agrees to participate, a free-breathing cardiac cine-MRI sequence with Deep Learning based image reconstruction will be appended to the usual protocol.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Age \> or = 18 years old * Ischemic heart disease * Ability of the subject to understand and express his consent * Affiliation to the social security scheme Exclusion Criteria: * Major obesity (\> 140kg) not allowing the patient to enter the tunnel of the machine whose diameter is less than 70cm * Under 18 years old * Pregnant woman * Known allergy to gadolinium chelates * Claustrophobia * Any contraindication to MRI * Arrhythmia * Difficulty in holding apneas of more than 10 seconds

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Conditions

The condition(s) this trial relates to.

myocardial ischemia

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Cardiac magnetic resonance imaging Deep learning Left ventricular ejection fraction Magnetic resonance imaging

Contacts and locations

Locations

  • CHU Amiens-Picardie

    Amiens, France, 80000, France

More trials for these conditions

Other studies related to the condition(s) this trial covers.