A Phase II Clinical Trial of Artificial Intelligence-assisted One-stop Radiotherapy for Breast Cancer After Breast-conserving Surgery

Recruiting N/A Interventional Study
Breast Cancer Invasive
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At a Glance
Age
18 – 70
Sex
Female
Study type
Interventional
Purpose
Treatment
Participants needed
860 (estimated)
Sponsor
Sun Yat-sen University · Other
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About This Trial
Background: Breast cancer became the most prevalent cancer globally in 2020, and post-surgery radiotherapy is crucial for most patients. Traditional radiotherapy is complex and time-consuming, affecting patient experience. To streamline this, an AI-assisted All-in-one (AIO) radiotherapy approach has been developed, integrating steps like target delineation and planning to reduce wait times and enh…
Trial Locations
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Eligibility Criteria
Inclusion Criteria: * 1\. Female patients aged 18-70 years. 2. ECOG performance status of 0-2. 3. Newly diagnosed invasive breast cancer, underwent breast-conserving surgery plus axillary lymph node dissection, with positive axillary lymph nodes (ypN+) and negative surgical margins. 4\. No dista…
Contacts

Zhen-Yu He, Professor

020-87343663

hezhy@sysucc.org.cn

CONTACT