Plain-English translation of NCT06738459 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Breast Cancer research guide →This is a retrospective research study that reviews medical records and imaging scans from breast cancer patients to test a new artificial intelligence approach for detecting lymph node involvement. Researchers will combine advanced MRI imaging with clinical and laboratory information to create a more accurate detection tool. The goal is to help doctors identify which patients truly need lymph node biopsies and which may be able to avoid this procedure.
Currently, doctors often perform lymph node biopsies on breast cancer patients, but more than 70% of these biopsies turn out to be negative—meaning the lymph nodes are not involved. This new approach could reduce unnecessary biopsies by using imaging and AI to better predict which patients actually have lymph node involvement, reducing patient side effects while improving accuracy.
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This is a retrospective study, meaning researchers will review your existing medical records, imaging scans, and biopsy results—you will not need to visit the clinic or undergo new procedures. Researchers will analyze your MRI images along with your clinical information to test their new detection method. The study aims to enroll 1,500 patients with breast cancer to build a robust dataset for improving lymph node detection accuracy.
AI-generated summary from trial data · Aug 11, 2026 · Not medical advice
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