Prediction of axillary lymph node metastasis in breast cancer patients Cancer
Conditions
Interventions
Researchers will retrospectively collect data from invasive breast cancer patients who had completed lung-enhanced CT and axillary lymph node surgery. The researchers will construct a 3D axillary lymp
Sponsors
Hunan Provincial Science and Technology Department
Eligibility
Sex/Gender
Female
Inclusion criteria
Inclusion criteria: 1. Underwent BC surgery at our hospital with postoperative pathology confirming invasive BC 2. Underwent axillary lymph node dissection (ALND) at our hospital 3. Completed a high-resolution, thin-section enhanced CT scan of the lung in our radiology department within one month before surgery 4. Had complete clinicopathological data
Exclusion criteria
Exclusion criteria: 1. Had bilateral primary or metastatic bc 2. Received neoadjuvant therapy (nat) before surgery 3. Had incomplete or poor-quality CT scans, flat scans only, or scans conducted externally 4. Had distant metastatic lesions or concurrent other malignancies
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Predicting correct classification rate, sensitivity and specificity after axillary surgery measured using 3D visualization techniques to construct predictive models at one time point | — |
Secondary
| Measure | Time frame |
|---|---|
| Predicting misclassification rate, false-positive rate and false-negative rate after axillary surgery measured using 3D visualization techniques to construct predictive models at one time point | — |
Countries
China
Contacts
Public ContactWenjun Yi
Outcome results
None listed