Ultrasonography Search

CLOSE

Journal of Korean Society of Ultrasound in Medicine 2008;27(4): 203-211.
The Utility of US-Guided Core-Needle Biopsy in the Diagnosis of Thyroid Nodules.
Ji Youn Kim, Soon Won Hong, Eun Kyung Kim, Min Jung Kim, Jin Young Kwak, Hee Jung Moon, Ki Whang Kim
1Department of Radiology, Yonsei University College of Medicine, Seoul, Korea. mines@yuhs.ac
2Department of Pathology, Yonsei University College of Medicine, Seoul, Korea.
  Published online: December 1, 2008.
ABSTRACT
Ultrasonography (US)-guided fine needle aspiration biopsy (FNAB) is widely considered to be the diagnostic technique of choice in the assessment of nodular disease of the thyroid gland. Although the accuracy of FNAB analysis approaches 95% where there is an adequate sample, non-diagnostic sampling occurs in 10-20% of cases. Additionally, equivocal pathological results are obtained in 10-30% of cases, and there are limitations in detecting subtypes of certain diseases, such as lymphoma. Generally, US-guided core needle biopsy (CNB) allows for the procurement of a large, grossly visible specimen and a more precise pathological diagnosis. Therefore, US-guided CNB is indicated in the following situations: 1) when an inadequate specimen is obtained by FNAB, 2) when FNAB yields indeterminate or inadequate information, 3) when targeting of the lesion is difficult because it is diffuse, and 4) when there is a discrepancy between the imaging findings and the FNAB results. In this article, we describe the situations in which US-guided CNB is useful for diagnosing thyroid lesions.
Keywords: Head and neck neoplasm, diagnosis; Thyroid; Thyroid, biopsy; Thyroid, neoplasm; Ultrasound (US), guidance
TOOLS
Full text via DOI  Full text via DOI
METRICS
1,709
View
3
Download
Editorial Office
A-304 Mapo Trapalace, 53 Mapo-daero, Mapo-gu, Seoul 04158, Korea
TEL : +82-2-763-5627   FAX : +82-2-763-6909   E-mail : office@ultrasound.or.kr
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © Korean Society of Ultrasound in Medicine.                 Developed in M2PI
Zoom in Close layer