Clinical trial Recruiting at 5 sites Observational Ages 18 and up Women only

AI-powered pre-treatment MRI to predict chemotherapy response in HR+/HER2- breast cancer

Official title: A Multicenter Prospective Observational Cohort Study: Predicting Neoadjuvant Chemotherapy Response Using Pre-Treatment DCE-MRI-Based AI Models in HR+/HER2- Breast Cancer

Run by Fujian Cancer Hospital · NCT07702708 · Data updated 2026-11-12

This study tests whether AI analysis of baseline DCE-MRI can forecast which HR+/HER2- breast cancer patients will benefit most from neoadjuvant chemotherapy.

Quick facts

Study typeObservational
Ages18 Years and up
SexWomen only
Enrollment100 (estimated)
SponsorFujian Cancer Hospital
Government
Drugs / interventionschemotherapy
Locations5 sites (Fuzhou, Fujian and 4 other locations)
StatusRecruiting
StartedJune 1, 2026
Main results expectedApril 30, 2027
Study endsJune 30, 2027
Registry record updatedJuly 14, 2026
Trial IDNCT07702708 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are women aged 18 or older with confirmed HR+/HER2- invasive breast cancer (stage II-III) planning neoadjuvant chemotherapy, who have pre-treatment quality DCE-MRI suitable for AI analysis.

Probably not a fit

Patients not showing a clear high-benefit signal from the AI model or with contraindications to MRI may not experience a predictive advantage.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a multicenter, prospective observational study enrolling women with HR+/HER2- breast cancer who will receive standard neoadjuvant chemotherapy. Baseline DCE-MRI scans will be analyzed by AI models to classify patients as high-benefit or low-benefit. Researchers will collect clinical data, treatment regimens, and outcomes such as residual cancer burden, response rate, disease-free survival, and overall survival to compare AI-defined high-benefit patients with historical controls. The primary endpoint is the rate of residual cancer burden 0-1 in the high-benefit group versus published data; secondary analyses explore additional correlations and long-term outcomes.

Why it matters

Potential benefit: If successful, the AI model could help tailor neoadjuvant treatment decisions for HR+/HER2- breast cancer.

How similar studies have gone: Prior studies in imaging-based AI have shown promise in predicting chemotherapy response in breast cancer, but this approach is still being validated.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Female patients aged ≥ 18 years old.
2. Histopathologically confirmed invasive breast carcinoma.
3. Hormone receptor positive (ER and/or PR ≥1%), HER2-negative status (IHC 0-1+, or IHC 2+ with negative FISH result).
4. Clinical stage II-III breast cancer per the 8th AJCC staging system, with clinical indication for neoadjuvant chemotherapy or primary surgery.
5. Standard pre-treatment breast DCE-MRI performed before neoadjuvant chemotherapy, with image quality eligible for AI model analysis.
6. ECOG performance status 0 or 1; adequate function of major vital organs to tolerate planned clinical treatment.
7. Voluntary participation with written informed consent obtained.

Exclusion Criteria:

1. Prior systemic anti-tumor therapy for breast cancer other than planned neoadjuvant chemotherapy.
2. Inflammatory breast cancer or distant metastatic disease (M1).
3. Concurrent active malignant tumors of other origins.
4. Contraindications to MRI examination or unqualified MRI images that cannot support model analysis.
5. Severe comorbidities incompatible with neoadjuvant chemotherapy or surgical resection.
6. Any other conditions judged ineligible for enrollment by the investigator.

Where it's running

  • Fujian Cancer Hospital
    Fuzhou, Fujian, China
    Recruiting
  • Fujian Provincial Hospital
    Fuzhou, Fujian, China
    Recruiting
  • The Second Affiliated Hospital of Fujian Medical University
    Quanzhou, Fujian, China
    Recruiting
  • Ningde First Hospital
    Ningde, Ningde, China
    Recruiting
  • Sanming Second Hospital
    Sanming, Sanming, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.