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AI model predicts which breast cancers vanish after chemo

NCT ID NCT07426653

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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

Summary

This study looked at data from 298 breast cancer patients to build a computer model that predicts whether chemotherapy before surgery will completely eliminate the cancer. The model uses routine clinical and lab information to estimate the chance of a complete response. It is not a new treatment but a tool to help doctors and patients make better decisions.

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 model could help doctors predict which breast cancer patients will have a complete response to chemotherapy before surgery, allowing more personalized treatment plans.
What could go wrong
This is a retrospective observational study, not a clinical trial testing a new treatment. The model needs further validation in real-world settings before it can be used in practice.

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

298 people

The number who actually took part.

Started

Jan 2010

Finished

Dec 2025

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

The study population consists of patients with breast cancer treated with neoadjuvant chemotherapy at a single tertiary breast care center between January 2010 and December 2025. The registry includes demographic, tumor staging, biomarker, and treatment-related clinicopathological data collected as part of routine clinical care. All patients underwent surgery following neoadjuvant chemotherapy with documented pathological response assessment.

Ages

18 to 90 years

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: * Histologically confirmed breast cancer * Receipt of neoadjuvant chemotherapy * Available clinicopathological data required for model development * Surgical treatment performed following neoadjuvant chemotherapy * Pathological response assessment available * Recorded pathological details Exclusion Criteria: * Missing pathological response information * Incomplete clinicopathological data required for model analysis * Patients not treated with neoadjuvant chemotherapy * Non-invasive breast cancer without indication for neoadjuvant treatment

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

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