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AI-Powered MRI could speed up pelvic cancer detection

NCT ID NCT07407959

Knowledge-focused Sponsor: Mayo Clinic Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study at Mayo Clinic is testing new AI-based image processing techniques (AIR Recon DL and Sonic DL) to see if they can make MRI scans faster and clearer for detecting pelvic abnormalities like endometrial and prostate cancer. Researchers will compare the new methods to standard scans in 60 adults. The goal is to improve image quality and reduce scan time, but these techniques are not yet FDA-approved.

What this could mean

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

What this could lead to
If successful, this could lead to faster and clearer MRI scans for detecting pelvic cancers, potentially improving screening accuracy and patient comfort.
What could go wrong
This is a small, early-stage observational study testing new image processing techniques, not a treatment. The AI methods are not yet FDA-approved and may not show significant improvement over current scans.

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

About 60 people

The number the study aims to enrol. It can still change while the study runs.

Started

Sep 2025

Expected to finish

Sep 2028

An estimate. End dates often move.

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

Healthy volunteers, patients referred for prostate MR and patients referred for endometriosis evaluation

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Patient over the age of 18 * For prostate group, any patient referred for prostate MR for screening purposes with no prior prostate related treatment or prior biopsy * For endometriosis group, any patient referred for possible endometriosis evaluation (pre-surgical) Exclusion Criteria: * Individuals unable to undergo MRI imaging (MR-conditional or MR-nonconditional devices which would need additional procedures/conditions for scanning, pregnant people, individuals with implanted metal, etc.) * Patient under the age of 18 * Patient who is unable to consent

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Conditions

The condition(s) this trial relates to.

endometrial carcinoma endometrium neoplasm prostate cancer prostate carcinoma

As listed by the trial registrant

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

Endometrial carcinoma Prostate carcinoma

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The study's own enquiry address

    This study publishes an address for enquiries. See it below .

  2. The places running it

    1 site. The list below names each one and where it is.

  3. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  4. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Study contacts

  • Contact

    Email: •••••@•••••

Locations

  • Mayo Clinic in Rochester

    RECRUITING

    Rochester, Minnesota, 55905, United States

    Contact Email: •••••@•••••

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