AI and MRI join forces to decode breast Cancer's hidden secrets
NCT ID NCT07692230
First seen Jul 09, 2026 · Last updated Jul 22, 2026 · Updated 3 times
Summary
This study combines MRI scans with detailed genetic and molecular analysis (multiomics) to improve how luminal breast cancer is classified and treated. Researchers aim to develop models that predict treatment resistance, recurrence, and spread, helping doctors choose the most effective therapy for each patient. The study involves 2,000 participants with HR+/HER2- breast cancer who have had an MRI.
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 classify breast cancer subtypes and predict which treatments work best for each patient.
- What could go wrong
- This is an observational study, not a treatment trial. The models may not prove accurate enough for routine clinical use.
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 2,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
-
Jan 2026
- 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
Patients with invasive luminal breast cancer (HR+/HER2-)
- 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 Hide 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: 1. Histopathologically confirmed invasive luminal breast cancer (HR+/HER2-); 2. Patients who underwent breast MRI examination. Exclusion Criteria: 1. Pathological biopsy performed prior to the baseline MRI examination; 2. Patients have received any form of prior treatment for the breast cancer; 3. History of other malignancies; 4. Incomplete or poor-quality MRI and/or pathological images; 5. Missing clinical data.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for HR positive/HER-2 negative breast cancer are added.
By submitting, you agree to our Terms of use
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.
Contacts and locations
Locations
-
Fudan university Shanghai Cancer Center
Shanghai, Shanghai Municipality, 200032, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can adding capivasertib slow metastatic breast cancer?
- Can a new imaging agent light up breast cancer tumors?
- New targeted pill takes aim at Hard-to-Treat cancers
- Can vitamin a derivative revive immune therapy for breast cancer?
- New combo therapy aims to wipe out breast cancer before surgery
- Simple blood test could predict breast cancer return