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Prediction of non-sentinel lymph node metastasis status of breast cancer based on pathology-MRI images and artificial intelligence

Prediction of non-sentinel lymph node metastasis status of breast cancer based on pathology-MRI images and artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400085157
Enrollment
Unknown
Registered
2024-05-31
Start date
2024-06-01
Completion date
Unknown
Last updated
2024-06-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast cancer

Interventions

Index test:A multimodal-based prediction model for non-sentinel lymph node metastasis

Sponsors

Yunnan Cancer Hospital (The Third Affiliated Hospital of Kunming Medical University)
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Patients with primary breast cancer 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

Exclusion criteria: 1. recurrent breast cancer or history of surgery or radiation therapy in the axilla 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 6. missing frozen H&E stained sections of sentinel lymph nodes 7. Mass ROI too small (voxel less than 64) or MRI unclear 8. Incomplete clinicopathologic data

Design outcomes

Primary

MeasureTime frame
Whole slide image of sentinel lymph node (H&E);Non-sentinel lymph node metastatic status;Accuracy, Sensitivity, Specificity;Area under the curve;Positive predictive value, Negative predictive value;

Countries

China

Contacts

Public ContactGuojun Zhang

Yunnan Cancer Hospital (The Third Affiliated Hospital of Kunming Medical University)

zhangguojun@kmmu.edu.cn+86 188 5006 4298

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026