Prediction of Non-sentinel Lymph Node Metastatic Status of Breast Cancer Based on Pathology-MRI Images
NCT ID: NCT06510738
Last Updated: 2024-08-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
700 participants
OBSERVATIONAL
2024-08-31
2025-12-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
2. Positive sentinel lymph node biopsy and axillary lymph node dissection.
3. No neoadjuvant chemotherapy, radiotherapy or ablation prior to surgery.
4. MRI within 3 weeks prior to surgery.
Exclusion Criteria
2. Inflammatory breast cancer
3. Bilateral breast cancer or metastatic breast cancer
4. previous or current history of other malignant tumors
5. Sentinel lymph node count \> 5
18 Years
75 Years
FEMALE
No
Sponsors
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Affiliated Cancer Hospital of Shantou University Medical College
OTHER
Yunnan Cancer Hospital
OTHER
Responsible Party
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Other Identifiers
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KYLX2024-128
Identifier Type: -
Identifier Source: org_study_id
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