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Scow JS et al. – Study demonstrates that despite using only 3 variables, the Stanford nomogram appears to perform on a par with, but not better than, the Memorial Sloan-Kettering Cancer Center (MSKCC) and Mayo nomograms. Further validation in other patient populations is needed.
Methods- An evaluation of the Stanford nomogram to predict the likelihood of NSLN metastasis using only 3 variables:
- Primary tumor size
- SLN metastasis size, and
- Angiolymphatic invasion status
This was compared with Mayo and MSKCC nomograms
- 464 BCa pts with SLN metastasis who underwent completion axillary lymph node dissection at the Mayo Clinic
- AUC was calculated for each model
- Mean probabilities of pts with and w/o NSLN metastasis were compared
- Pts with 5%, 10%, and 100% NSLN metastasis probabilities were examined
- AUCs of the Stanford, MSKCC, and Mayo models were 0.72, 0.74, and 0.77, respectively
- Mean Stanford probabilities for pts with and w/o NSLN metastasis were 0.75 and 0.50, respectively
- False-negative rates for pts with a Stanford probability of 5% and 10% were 0% and 13%, respectively
- Of the pts with a Stanford probability of 100%, 26% did not have NSLN metastasis
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