Model development to predict central lymph node metastasis in cN0 papillary thyroid microcarcinoma by machine learning.

ABSTRACT:

Background

Whether prophylactic central lymph node dissection is necessary for cN0 papillary thyroid microcarcinoma (PTMC) patients remains highly debatable. Surgeons desperately need a way to help with surgical decision-making. While traditional predictive models can better explain changes in variables, machine learning (ML) models may have better predictive performance. This study aims to develop models for predicting the risk of central lymph node metastasis (CLNM) by utilizing ML algorithms.

Methods

The clinical records of 1,121 patients with cN0 PTMC who underwent initial thyroid resection at our hospital between January 2014 and December 2018 were retrospectively retrieved. Univariate and multivariate analyses were performed to examine risk factors associated with CLNM

SUBMITTER: Yu Y 

PROVIDER: S-EPMC9469161 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature