Imprinted gene detection effectively improves the diagnostic accuracy for papillary thyroid carcinoma.

ABSTRACT:

Background

Papillary thyroid carcinoma (PTC) is the most frequent histological type of thyroid carcinoma. Although an increasing number of diagnostic methods have recently been developed, the diagnosis of a few nodules is still unsatisfactory. Therefore, the present study aimed to develop and validate a comprehensive prediction model to optimize the diagnosis of PTC.

Methods

A total of 152 thyroid nodules that were evaluated by postoperative pathological examination were included in the development and validation cohorts recruited from two centres between August 2019 and February 2022. Patient data, including general information, cytopathology, imprinted gene detection, and ultrasound features, were obtained to establish a prediction model for PTC. Multivariate logistic regr

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10953243 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature