An observational study in Breast Cancer, Artificial Intelligence and Lymph Node Metastasis, sponsored by Yunnan Cancer Hospital. Not yet recruiting. Open to female participants aged 18 Years to 75 Years. Per ClinicalTrials.gov, last updated 2024-08-13.
Sponsored by Yunnan Cancer Hospital · Observational
The goal of this observational study is to develop an artificial intelligence model based on pathology and magnetic resonance imaging (MRI) images to predict the metastatic status of non-sentinel lymph nodes in patients with breast cancer sentinel lymph node metastasis. The main questions it aims to answer are:
Can an artificial intelligence model based on MRI images of breast cancer patients predict the non-sentinel lymph node metastatic status in patients with breast cancer sentinel lymph node metastasis?
Can an artificial intelligence model based on intraoperative frozen section images of sentinel lymph nodes in breast cancer patients predict the non-sentinel lymph node metastasis status in patients with sentinel lymph node metastasis from breast cancer?
Can artificial intelligence models based on preoperative MRI and intraoperative frozen section images of sentinel lymph nodes in breast cancer patients predict the non-sentinel lymph node metastatic status in patients with sentinel lymph node metastasis from breast cancer?
Researchers will retrospectively and prospectively collect preoperative MRI and intraoperative sentinel lymph node section images from breast cancer patients.
12,544 studies on the registry are indexed under Breast Neoplasms; 2,892 are open to participants now.
This study's planned enrollment of 700 is above the median of 184 across 2,642 observational studies indexed under Breast Neoplasms.
Browse Breast Neoplasms studies →Yunnan Cancer Hospital is the lead sponsor of 28 studies on the registry; 24 are open to participants now.
Counted across the registry records on this site, refreshed daily.
The investigators plan to retrospective collect 700 patients with breast cancer and prospective collect 150 patients with breast cancer
Exclusion Criteria:
Non-sentinel lymph node metastatic status
metastasis or non-metastasis
Time frame: 2024-2025
Accuracy, Sensitivity, Specificity，Area under the curve
The performance of predicting non-sentinel lymph node metastatic status
Time frame: 2024-2025
Positive predictive value，Negative predictive value
The performance of predicting non-sentinel lymph node metastatic status
Time frame: 2024-2025
No study locations are listed for this record.
This study is not yet recruiting, as verified in Jul 2024. You cannot join it, but the record below documents what was studied.
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Yunnan Cancer Hospital