Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Comparison Between Fine Needle Aspiration and Core Needle Biopsy for the Diagnosis of Thyroid Nodules: Effective Indications According to US Findingsopen access

Authors
Hahn S.Y.Shin J.H.Oh Y.L.Park K.W.Lim Y.
Issue Date
18-Mar-2020
Publisher
Nature Research
Citation
Scientific Reports, v.10, no.1
Journal Title
Scientific Reports
Volume
10
Number
1
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/38495
DOI
10.1038/s41598-020-60872-z
ISSN
2045-2322
Abstract
Thyroid nodules are initially handled by fine needle aspiration (FNA). However, the stance of thyroid core needle biopsy (CNB) still is a challenge. This study aimed to compare the diagnostic performances and conclusive rates of FNA and CNB for the diagnosis of thyroid nodules and to define effective indications of CNB. This retrospective study enrolled 1,060 consecutive thyroid nodules in 1,037 patients who underwent FNA from January 2008 to May 2008, and 462 consecutive nodules in 453 patients who underwent CNB from January 2014 to December 2015 at our institution. Ultrasound (US) features were classified according to the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) and Korean TIRADS (K-TIRADS). We compared diagnostic performances and conclusive rates between FNA and CNB groups. Propensity score matching was conducted to match FNA patients with CNB patients. After matching, the diagnostic performances for selecting surgical candidates and predicting malignancy were comparable between the two biopsy groups. Based on US findings, conclusive results were obtained significantly more in CNB than in FNA when thyroid nodules were classified as ACR TI-RADS or K-TIRADS category 4 and measured larger than 2 cm. Diagnostic performances between FNA and CNB were comparable. Superiority of CNB to FNA was found for thyroid nodules larger than 2 cm and classified as ACR TI-RADS or K-TIRADS category 4. © 2020, The Author(s).
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lim, Yae Ji photo

Lim, Yae Ji
대학원 (통계데이터사이언스학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE