The implementation of NILS: A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer.

ABSTRACT:

Objective

To implement artificial neural network (ANN) algorithms for noninvasive lymph node staging (NILS) to a decision support tool and facilitate the option to omit surgical axillary staging in breast cancer patients with low-risk of nodal metastasis.

Methods

The NILS tool is a further development of an ANN prototype for the prediction of nodal status. Training and internal validation of the original algorithm included 15 clinical and tumor-related variables from a consecutive cohort of 800 breast cancer cases. The updated NILS tool included 10 top-ranked input variables from the original prototype. A workflow with four ANN pathways was additionally developed to allow different combinations of missing preoperative input values. Predictive performances were assessed by ar

SUBMITTER: Dihge L 

PROVIDER: S-EPMC10014909 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature