Optimized assessment of sentinel lymph nodes for metastatic melanoma: implications for regional surgery and overall treatment planning

Abstract

Correct identification of the sentinel node (SN) and accurate evaluation of this node's tumor status constitute the most precise technique for staging clinically localized cutaneous melanoma. However, even if tumor is present in the SN (as in approximately 20% of patients), the remaining nodes in the basin are often tumor-free. We have found that the Breslow thickness of the primary, the relative area of tumor in the SN (with respect to the area of the SN), and the density of dendritic leukocytes in the SN paracortex not only can predict the likelihood of nonsentinel node metastases but also are correlated with likelihood of tumor recurrence and melanoma-specific survival. The most robust of these predictors is relative tumor area, and this may be used as the basis of practical predictive algorithms.