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Brief Title: The Value of High-resolution Ultrasound in the Detection of Lymph Node Metastasis: a Proposal of NI-RADS
Official Title: The Accuracy of High-resolution Ultrasound in the Detection of Lymph Node Metastasis From Breast Cancer and the Proposal of Node Imaging Reporting and Data System
Study ID: NCT03791840
Brief Summary: The status of axillary lymph node (ALN) is an important reference indicator for breast cancer surgery and systemic treatment, which is also an important prognostic indicator for breast cancer. Therefore, it is extremely important for surgeons to accurately determine whether axillary lymph nodes have metastasis and the number of metastatic lymph nodes. The value of ultrasound diagnosing the status of axillary lymph nodes was controversial in recent publications. Therefore, there is a high need to prove the accuracy and precision of ultrasound for axillary lymph node metastasis in breast cancer patients. The aim of this study is to assess the usefulness of ultrasound in the diagnosis of axillary lymph node status in breast cancer patients by gathering in vivo and vitro ultrasonographic parameters to build a clinical useful categorization system
Detailed Description: To facilitate the non-invasive assessment of lymph node status preoperatively, we use ultrasound to detect lymph node metastasis. We designed this study to obtain in vivo and vitro ultrasound features and parameters. Before surgery, the detailed ultrasound features are collected during routine ultrasound examination. After the completion of the axillary surgery, fresh lymph node specimens are collected for in vitro ultrasound evaluation one by one in a specially-designed detection system. Statistical models are built to categorize the probability of metastasis of lymph node according to a proposed categorization system similar as BI-RADS(Breast Imaging Reporting and Data System), which is named NI-RADS (Node Imaging Reporting and Data System).
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: FEMALE
Healthy Volunteers: No
Peking University People's Hospital, Beijing, Beijing, China
Name: Shu Wang, MD
Affiliation: Peking University People's Hospital
Role: PRINCIPAL_INVESTIGATOR