Calculator to predict ≥N2 disease in patients who underwent upfront surgery and had 1-3 positive SLNs
Enter a number between 0.1 and 10.
How many sentinel lymph nodes were removed?
How many sentinel lymph nodes were positive?
Is the tumor multifocal/multicentric?
Is the patient older than 50?
What is the estrogen receptor status?
What is the progesterone receptor status?
What is the HER2/neu receptor status?
What is the modified Black nuclear grade?
What is the tumor histology?
Is there lymphovascular invasion present?
Predicted probability [90% confidence interval]:
___%[__, __]
Disclaimer
This calculator estimates the probability of ≥pN2 disease based on clinical and pathological data using a model trained on 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