Calculator to predict ≥N2 disease in patients who underwent upfront surgery and had 1-3 positive SLNs
Select How many sentinel lymph nodes were removed? (required)
Select How many sentinel lymph nodes were positive? (required)
Select Is the tumor multifocal/multicentric? (required)
Select Is the patient older than 50? (required)
Select What is the estrogen receptor status? (required)
Select What is the progesterone receptor status? (required)
Select What is the HER2/neu receptor status? (required)
Select What is the modified Black nuclear grade? (required)
Select What is the tumor histology? (required)
Select Is there lymphovascular invasion present? (required)
Disclaimer
This calculator estimates the probability of ≥pN2 disease based on clinical and pathological data using a model trained on UT MD Anderson Cancer Center data and externally validated using a national dataset. While informative, accuracy may be lower in different clinical settings. Results should not replace medical advice and are intended to support, not substitute, the judgement of qualified clinicians. Use in conjunction with comprehensive clinical information for each patient.
References
Wanis KN, Dong W, Shen Y, Meric-Bernstam F, Adesoye T, Kuerer HM, Caudle AS, Tamirisa N, DeSnyder SM, Sun SX, Bedrosian I, Singh P, Cox SE, Hunt KK, Hwang RF. Predicting pathologic ≥N2 disease in women with breast cancer. NPJ Breast Cancer 2025 May 22;11(1):46. doi: 10.1038/s41523-025-00757-4. https://www.nature.com/articles/s41523-025-00757-4