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Study identifier: NCT07244094 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

A Study on Predicting the Risk of Distant Metastasis in Breast Cancer Using AI-Generated Spatial Pathological Maps

Condition: Breast Cancer  ·  Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University

PhaseN/A
Planned participants400
Who can joinFemale, 18 Years to 95 Years
Healthy volunteersNo

About this study

The goal of this observational study is to develop and validate an artificial intelligence (AI) model for predicting the risk of distant metastasis in patients with primary breast cancer. The main question it aims to answer is: Can a multimodal AI model, trained on routinely available histopathological images, accurately predict the long-term risk of breast cancer metastasis? Researchers will analyze existing hematoxylin and eosin (H\&E) and immunohistochemistry (IHC) stained tissue slides from patients who underwent surgery between 2015 and 2025. Clinical data will be used to train the AI model and evaluate its performance in predicting metastasis.

This description comes directly from the study's public registry record.

Talk to the study team

Jiaojiao Zhou  ·  0571-87784527  ·  zhoujj@zju.edu.cn

Always discuss trial participation with your own doctor first.

Locations (4)

Jilin Cancer HospitalChangchun, Jilin, ChinaNot Yet Recruiting
Cancer Institute and Hospital, Tianjin Medical University, ChinaTianjin, Tianjin Municipality, ChinaNot Yet Recruiting
2nd Affiliated Hospital, School of Medicine, Zhejiang University, ChinaHangzhou, Zhejiang, ChinaRecruiting
The Fourth Affiliated Hospital of Zhejiang University School of MedicineHangzhou, Zhejiang, ChinaNot Yet Recruiting

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Source record: clinicaltrials.gov/study/NCT07244094