57P Validation of Three Breast Cancer Nomograms for Predicting the Non-Sentinel Lymph Node Metastases and a New Formula for Predicting Non-Sentinel Lymph Node Status. (Second Study from Turkey-First Unicenter Study)

Abstract

ABSTRACT Introduction Patients who have positive SLNB should undergo to axillary lymph node dissection (ALND), about 40-70% of them have no nonsentinel lymph node (NSLN) metastasis. Purpose The aim of the study is to evaluate the available breast nomograms (MSKCC,Stanford,Tenon) to predict non-sentinel lymph node metastasis (NSLNM) and to determine the variables on NSLNM in the SLN positive breast Cancer (BC) patients in the our population. Method We retrospectively reviewed BC patients who underwent SLN biopsy. One hundred and seventy SLN biopsy positive patients who had completion axillary lymph node dissection were evaluated. We described two groups; group one NSLN negative (70 patients), group two NSLN positive (100 patients). Four factors were found to contribute significantly to the logistic regression model. After multiple logistic regression analysis of significant parameters, we designed a new formula to predict non-sentinel lymph node metastasis, based on the multivariate analysis. The areas under (AUC) the receiver operating characteristic curve (ROC) were used to describe the performance of the diagnostic value of nomograms and our new nomogram. Results After stepwise multiple logistic regression analysis four parameters found statistically significant. AUC results for each nomograms: MSKCC: 0,713 / Tenon: 0,671 / Stanford: 0,534 / DEU: 0,814. Conclusion The MSKCC nomogram was good discriminator of NSLN metastasis in SLN positive BC patients for our population. A newly created formula depending on four factors (Multifocality, LVI, proportion of positive SLN among total SLN, SLN extracapsular extention) is the best prediction toll for discriminate of NSLN metastasis in SLN positive BC patients for our population. Disclosure All authors have declared no conflicts of interest.