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AI could help decide best treatment for ovarian cancer

NCT ID NCT06017557

Diagnosis Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study tests whether artificial intelligence (AI) can analyze videos from a keyhole surgery (laparoscopy) to predict if ovarian cancer tumors can be completely removed. The goal is to help doctors choose the best treatment plan—surgery first or chemotherapy first—for each patient. About 151 women with advanced ovarian cancer will take part.

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 (AI) and machine learning software
What this could lead to
If successful, this could lead to a more accurate, automated way to decide whether ovarian cancer patients should have surgery first or chemotherapy first, improving treatment outcomes.
What could go wrong
This is a small pilot study, so the AI model may not be accurate enough yet. The results may not apply to all hospitals or patients, and the technology needs further validation.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 151 people

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

Started

Jan 2023

Expected to finish

Sep 2026

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.

Ages

18 years and older

Sex

Female participants only

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: * Patients treated at Fondazione Policlinico Gemelli Hospital, Rome Italy, Trillium -Credit Valley Hospital, Mississauga, Ontario and Princess Margaret Cancer Centre, Toronto, Canada * Patients fit for cytoreductive surgery * Patients with a primary diagnosis of suspect Stage III-IV ovarian cancer * Patients selected for interval cytoreductive surgery after NACT Exclusion Criteria: * Patients with pre-operative Stage I-II disease confined to the pelvis * Patients unfit for surgery * Lack of information about patients' surgical outcomes and clinicopathological characteristics * LGSOC, Clear cell and mucinous, non-epithelial histologic subtypes (if available)

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Conditions

The condition(s) this trial relates to.

ovarian cancer ovarian carcinoma

As listed by the trial registrant

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

Ovarian cancer stage III Ovarian cancer stage IV

How to take part

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

  1. The places running it

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

  2. 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 ↗

  3. 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

Locations

  • Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica

    RECRUITING

    Roma, 00168, Italy

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