Breast Cancer Trial, Recruiting
Who may be able to join
AI generated eligibility summary. Written by an AI model from the official source data and checked on a sample basis. It can contain mistakes, so confirm anything important against the original source. How we use AI
Who might be able to join this trial:
- Breast ultrasound images (in standard grayscale format) sourced from a hospital imaging database or from publicly available research datasets that have documented ethics approval from their original institution
- Images that are clear enough to be used for clinical diagnosis, with the area of interest visible
- Cases where a confirmed tissue diagnosis exists (for images showing either a non-cancerous or cancerous finding), or where a specialist radiologist with more than 15 years of breast ultrasound experience has confirmed normal breast tissue (for the normal comparison group)
- Images that have had all personal identifying information fully removed before being included
Who may not be able to join:
- Images that are too poor in quality to allow a proper assessment using standard breast imaging reporting categories
- Duplicate images from the same patient — only the single most representative image for each finding would be kept
- Images where any personal identifying details remain after the removal process was carried out
- Cases where the tissue diagnosis result is unclear, disputed among clinicians, or not available
- Ultrasound images that are not in standard grayscale format, such as those using elastography, contrast-enhanced ultrasound, or Doppler techniques
Important: Always verify eligibility with the trial site directly before applying.
Based on publicly available eligibility criteria from ClinicalTrials.gov. Verify directly with the trial site before acting. This is not medical advice.
Contact this trial
Principal Investigator: Qingli Zhu, MD, Peking Union Medical College Hospital
Phone: +86 13621376699
Contact details sourced from ClinicalTrials.gov. Verify directly with the trial site before attending.
GP referral letter
Print a one-page summary to share with your doctor.
Trial details
Where this trial is recruiting
Primary endpoints
Diagnostic Accuracy for Pathological Diagnosis; BI-RADS Classification Accuracy
Can't join this trial?
Data last synced from ClinicalTrials.gov: 8 July 2026. Trial status can change. Always verify current status directly with the trial site before making any decision.