Validation of a Nomogram Predicting Non-Sentinel Lymph Node Metastases among Patients with Breast Cancer after Primary Systemic Therapy - a transSENTINA Substudy.

ABSTRACT:

Background

Prediction of non-sentinel lymph node (SLN) status after primary systemic therapy (PST) may allow tailored axillary staging. The aim of this analysis was to compare established nomograms from i) the primary operative (n = 6) and ii) the neoadjuvant (n = 1) setting with an optimized nomogram to predict non-SLN status in patients after PST.

Methods

181 patients converting from cN1 prior to PST to ycN0 but found to have a histologically positive SLN in the SENTINA trial were analyzed. Established models were applied. An optimized model was compiled using univariate and subsequent multivariable logistic regression (backward selection, likelihood ratio test).

Results

Area-under-the-curve (AUC) values from the primary operative models showed sufficient performanc

SUBMITTER: Liedtke C 

PROVIDER: S-EPMC6381911 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature