The goal of this observational study is to develop an artificial intelligence model to transform unstained lymph node tissue slice images directly into stained images. The main questions it aims to answer are: Can the virtual staining model generate hematoxylin and eosin (H\&E) and immunohistochemistry (IHC) images suitable for clinical diagnosis from unstained paraffin-embedded lymph node slice images, including those from breast axillary lymph nodes and other tumor lymph nodes? Can the virtual staining model generate H\&E and IHC images suitable for clinical diagnosis from unstained frozen sentinel lymph node slice images from breast cancer patients? Researchers will retrospectively collect paraffin-embedded lymph node slices from tumor patients and prospectively collect frozen sentinel lymph node slices from breast cancer patients.
Study Type
OBSERVATIONAL
Enrollment
2,200
Lymph node metastasis status
Lymph node metastasis status: metastasis or non-metastasis
Time frame: 2024-2025
Accuracy, Sensitivity, Specificity,Area under the curve,
The performance of pathologists diagnosing the lymph node metastasis status by virtual and real staining whole slide images
Time frame: 2024-2025
Positive predictive value,Negative predictive value
The performance of pathologists diagnosing the lymph node metastasis status by virtual and real staining whole slide images
Time frame: 2024-2025
Peak Signal-to-Noise Ratio(PSNR)
Scores of the similarity between virtual and real staining of lymph nodes, with values ranging from 0 to infinity, the higher scores mean the better outcomes
Time frame: 2024-2025
Multi-Scale Structural Similarity (MS-SSIM)
Scores of the similarity between virtual and real staining of lymph nodes, with values ranging from 0 to 1, the higher scores mean the better outcomes
Time frame: 2024-2025
Pearson correlation coefficient
Scores of the similarity between virtual and real staining of lymph nodes, with values ranging from 0 to 1, the higher scores mean the better outcomes
Time frame: 2024-2025
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.