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AI could help ultrasound spot ovarian cancer earlier

NCT ID NCT07660718

Diagnosis Sponsor: IRCCS Azienda Ospedaliero-Universitaria di Bologna Source: ClinicalTrials.gov ↗

What the study statuses mean

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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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether artificial intelligence can help ultrasound scans better detect ovarian cancer in postmenopausal women. About 100 women with certain types of ovarian cysts will have their ultrasound images analyzed by AI. The goal is to see if the AI can match or beat expert doctors at telling which cysts are cancerous, potentially leading to earlier diagnosis and fewer unnecessary surgeries.

What this could mean

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

Active substance
artificial intelligence software for ultrasound image analysis
What this could lead to
If successful, this could lead to a more accurate, AI-assisted ultrasound method for detecting ovarian cancer earlier and reducing unnecessary surgeries.
What could go wrong
This is a small pilot study with only 100 participants, so results may not apply to all women. The AI model is still being developed and may not outperform expert sonographers.

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 100 people

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

Started

Jun 2026

Expected to finish

Jun 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

About 100 postmenopausal patients with ultrasound evidence of multilocular or multilocular-solid ovarian cysts

Ages

18 to 90 years

Sex

Female participants only

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 between 18 and 90 years * Ultrasound evidence of a multilocular or multilocular-solid ovarian cyst * Menopausal status (last menstrual period at least 12 months prior) * Patients awaiting surgery or undergoing ultrasound follow-up with evidence of a stable adnexal mass over time * Provision of informed consent Exclusion Criteria: * Ultrasound evidence of a unilocular cyst, unilocular-solid cyst, or solid mass * Patient not in menopause * No planned surgical intervention and unavailable ultrasound follow-up

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Conditions

The condition(s) this trial relates to.

ovarian cancer ovarian cyst

As listed by the trial registrant

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

Ovarian cancer

Contacts and locations

Locations

  • IRCCS Azienda Ospedaliero-Universitaria di Bologna

    Bologna, Bologna, 40138, Italy

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