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AI reads MRI scans to predict breast cancer type without needle

NCT ID NCT07389200

Knowledge-focused Sponsor: Hao Xu 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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 1 time

Summary

This study will use MRI scans and artificial intelligence to predict the type and aggressiveness of breast cancer without needing a biopsy. Researchers will analyze images from 400 patients to see if computer models can identify HER2 status and other key features. The goal is to make diagnosis faster, less invasive, and more accurate.

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 a non-invasive way to determine breast cancer type and severity using MRI, reducing the need for biopsies.
What could go wrong
This is an early-stage observational study. The machine learning model may not be accurate enough for clinical use, and results may vary across different hospitals.

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 400 people

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

Expected to start

Jan 2028

An estimate. Start dates often move.

Expected to finish

Dec 2029

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

368 female patients diagnosed with breast cancer from three hospitals between August 2017 and December 2021 were consecutively recruited in this study

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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: * Histopathological diagnosis of breast cancer by surgical or biopsy pathology; * Availability of DCE-MRI within two weeks before surgery * No prior treatment before baseline DCE-MRI examination. Exclusion Criteria: * Less than 5 mm of long diameter of the lesion * Severe motion artifacts * Missing or incomplete essential data * Anti-tumor treatment before MRI

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Conditions

The condition(s) this trial relates to.

breast cancer breast neoplasm

As listed by the trial registrant

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

Breast cancer Breast cancer with low to intermediate HER2 expression

How to take part

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

  1. 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 ↗

  2. 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.

More trials for these conditions

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