AI system for diagnosing and predicting outcomes of breast phyllodes tumors

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 focuses on the use of artificial intelligence to enhance the diagnosis and prognosis of breast phyllodes tumors, which are rare fibroepithelial tumors. By integrating clinical information, histopathological images, and multi-omics data, the AI system aims to provide accurate pathological diagnoses and predict patient outcomes. Given the high rates of local recurrence and potential for malignancy in these tumors, early and precise identification is crucial for improving patient survival rates. The study will observe patients diagnosed with phyllodes tumors and analyze the effectiveness of the AI-assisted diagnostic approach.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients diagnosed with a phyllodes tumor of the breast

Exclusion Criteria:

* Blurred images, imaging artifacts

Where it's running

• Sun Yat-sen University Cancer Center
  Guangzhou, Guangdong, China Recruiting
• Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
  Guangzhou, Guangdong, China Recruiting
• The Third Affiliated Hospital of Guangzhou Medical University
  Guangzhou, Guangdong, China Recruiting
• Guangdong Maternal and Child Health Hospital
  Guangzhou, Guangdong, China Recruiting

Study contacts

• Study coordinator: Yan Nie, Prof.Dr.
• Email: nieyan7@mail.sysu.edu.cn
• Phone: +86 020-81332587

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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.