Evaluating breast cancer treatment effectiveness using artificial intelligence

Is this trial a fit for you?

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

What this trial studies

This study aims to validate an artificial intelligence-based model designed to non-invasively evaluate the efficacy of neoadjuvant therapy in breast cancer patients. It involves the prospective collection of MRI images and clinical data from multiple centers, which will be processed and analyzed using AI techniques to enhance the prediction of treatment outcomes. The goal is to improve the accuracy and versatility of efficacy assessments, potentially reducing the need for surgical interventions. By integrating imaging genomics and clinical characteristics, the study seeks to establish a robust model for predicting pathological complete response in breast cancer patients.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients who were treated in the above research centers between January 1, 2024 and October 31, 2025;
* ≥18 years old, female, ECOG score ≤2;
* Pathological biopsy confirmed invasive breast cancer;
* AJCC (8th edition) stage I-III;
* MRI imaging data before and after neoadjuvant therapy;
* Planned mastectomy or breast-conserving surgery after neoadjuvant therapy, and postoperative pathological information obtained.

Exclusion Criteria:

* Bilateral breast cancer, multiple lesions, or occult breast cancer;
* Poor MRI data quality;
* Patients who had received other anti-tumor treatments before enrollment;
* Patients with other malignant tumors

Where it's running

• Sanhuan Cancer Hospital, Chaoyang District, Beijing(Cancer Hospital, Chinese Academy of Medical Sciences, close medical alliance)
  Beijing, Beijing Municipality, China Recruiting
• Cancer Hospital, Chinese Academy of Medical Sciences
  Beijing, Beijing Municipality, China Recruiting

Study contacts

• Study coordinator: peng yuan, doctor
• Email: yuanpengyp01@163.com
• Phone: 01087787242

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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.