Predicting factors of central lymph node metastases in patients with unilateral multifocal papillary thyroid microcarcinoma

6Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Background: Unilateral multifocal papillary thyroid microcarcinoma (UM-PTMC) is not rare, and the suitable extent of operation is controversial. Total thyroidectomy is associated with a high risk of hypoparathyroidism and recurrent laryngeal nerve injury. Hemithyroidectomy should be considered in patients without lymph node metastases. This study aimed to identify factors predicting central lymph node metastases (CLNM) in patients with UM-PTMC. Methods: A total of 1,453 patients with thyroid cancer underwent surgery at our hospital from January 2018 to June 2018, and 115 patients with UM-PTMC were selected and assessed retrospectively. The relationship between CLNM and clinicopathologic features of UM-PTMC were analyzed by both univariate and multivariate analyses. Results: Of the 115 patients with UM-PTMC, CLNM were confirmed by pathology in 57 patients. Univariate and multivariate analyses identified the sum diameter of all tumors (≥1.0 cm) [odds ratio (OR) =2.295; 95% confidence interval (CI): 1.036-5.086; P=0.041] and positive CLNM via ultrasonography (OR =5.882; 95% CI: 1.562-22.153; P=0.009) as independent predictors of CLNM. Conclusions: CLNM are common in patients with UM-PTMC. The sum diameter of all tumors (=1.0 cm) and positive CLNM via ultrasonography are independent risk factors for CLNM. Our data should be considered in the decision process relating to performing total thyroidectomy or hemithyroidectomy in patients with UM-PTMC.

Cite

CITATION STYLE

APA

Wu, X., Li, B., Zheng, C., & He, X. (2020). Predicting factors of central lymph node metastases in patients with unilateral multifocal papillary thyroid microcarcinoma. Gland Surgery, 9(3), 695–701. https://doi.org/10.21037/GS.2020.03.27

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free