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Ultrasonography Diagnosis of Thyroid Nodules and Cervical Metastatic Lymph Nodes
Int J Thyroidol 2016;9(1):1-8
Published online May 30, 2016;
© 2016 Korean Thyroid Association.

Dong Gyu Na 1 and Young Hen Lee 2

Department of Radiology, Human Medical Imaging and Intervention Center1, Seoul, Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine2, Ansan, Korea
Correspondence to: Dong Gyu Na, MD, PhD, Department of Radiology, Human Medical Imaging and Intervention Center, K Tower 3F, 621, Gangnam-daero, Seocho-gu, Seoul 06524, Korea
Tel: 82-2-512-6695, Fax: 82-2-512-6656, E-mail:
Received May 16, 2015; Revised January 25, 2016; Accepted February 22, 2016.
This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Ultrasonography (US) has been a primary tool for assessing malignancy risk, fine-needle aspiration (FNA) decision, and management after FNA in patients with thyroid nodules. US also has an essential role for preoperative evaluation of primary tumor and cervical lymph nodes, for surveillance of postoperative patients with thyroid cancer, and for imaging guidance for nonsurgical ablation therapy. In the revised recommendations of Korean Society of Thyroid Radiology (KSThR), Korean Thyroid Imaging Reporting and Data System (K-TIRADS), a revised risk stratification system of thyroid nodules, was suggested to increase the efficacy of FNA and provide supplementary information for thyroid nodules after FNA. The role of US assessment of cervical lymph node needs to be emphasized for optimal management decision of thyroid nodules, preoperative staging, and postoperative surveillance of patients with thyroid cancers, and CT has a complementary role for the diagnosis of metastatic nodes in patients with thyroid carcinomas.
Keywords : Thyroid nodule, Thyroid cancer, Ultrasonography, Computed tomography, Biopsy, Fine-needle

November 2017, 10 (2)