Lymph node positivity in different early breast carcinoma phenotypes: a predictive model.

ABSTRACT:

Background

A strong correlation between breast cancer (BC) molecular subtypes and axillary status has been shown. It would be useful to predict the probability of lymph node (LN) positivity.

Objective

To develop the performance of multivariable models to predict LN metastases, including nomograms derived from logistic regression with clinical, pathologic variables provided by tumor surgical results or only by biopsy.

Methods

A retrospective cohort was randomly divided into two separate patient sets: a training set and a validation set. In the training set, we used multivariable logistic regression techniques to build different predictive nomograms for the risk of developing LN metastases. The discrimination ability and calibration accuracy of the resulting nomograms w

SUBMITTER: Houvenaeghel G 

PROVIDER: S-EPMC6327612 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature