Development of an Artificial Intelligence-Based System for Precise Diagnosis and Prognosis of Breast Phyllodes Tumors

What this Trial Is About

Breast phyllodes tumor (PT) is a rare type of breast tumor classified into benign, borderline, and malignant categories based on specific tissue features. Malignant PTs have a high chance of coming back locally and spreading to other parts of the body. Early and accurate diagnosis along with identifying treatment targets is important to improve patient outcomes. This research focuses on using artificial intelligence (AI) to combine clinical, imaging, and genetic data to help diagnose and predict the prognosis of breast PT. The study collects high-quality data from nearly a thousand patients with breast PT, including various medical images such as ultrasound, mammography, CT, and MRI, along with tissue gene sequencing. Researchers aim to build a detailed multi-omics database and develop an AI-based system that can support early diagnosis and predict how the tumor may progress. This system is designed to assist personalized treatment decisions and address care differences across regions. Participants diagnosed with breast PT will contribute their imaging and tissue data. Researchers will assess outcomes like diagnostic sensitivity, false-negative and false-positive rates, and accuracy over five years using statistical measures such as the receiver operating characteristic curve. The study involves no treatment interventions but focuses on observation and data analysis to improve diagnostic tools. The research is sponsored by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University and started in March 2023, with an expected completion by the end of 2027.

AI-Assisted System for Accurate Diagnosis and Prognosis of Breast Phyllodes Tumors