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KMID : 0880420210220122094
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Korean Journal of Radiology
2021 Volume.22 No. 12 p.2094 ~ p.2123
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2021 Korean Thyroid Imaging Reporting and Data System and Imaging-Based Management of Thyroid Nodules: Korean Society of Thyroid Radiology Consensus Statement and Recommendations
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Ha Eun-Ju
Chung Sae-Rom
Na Dong-Gyu
Ahn Hye-Shin
Chung Jin
Lee Ji-Ye
Park Jeong-Seon
Yoo Roh-Eul
Baek Jung-Hwan
Baek Sun-Mi
Cho Seong-Whi
Choi Yoon-Jung
Hahn Soo-Yeon
Jung So-Lyung
Kim Ji-Hoon
Kim Seul-Kee
Kim Soo-Jin
Lee Chang-Yoon
Lee Ho-Kyu
Lee Jeong-Hyun
Lee Young-Hen
Lim Hyun-Kyung
Shin Jung-Hee
Sim Jung-Suk
Sung Jin-Young
Yoon Jung-Hyun
Choi Mi-Young
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Abstract
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Incidental thyroid nodules are commonly detected on ultrasonography (US). This has contributed to the rapidly rising incidence of low-risk papillary thyroid carcinoma over the last 20 years. The appropriate diagnosis and management of these patients is based on the risk factors related to the patients as well as the thyroid nodules. The Korean Society of Thyroid Radiology (KSThR) published consensus recommendations for US-based management of thyroid nodules in 2011 and revised them in 2016. These guidelines have been used as the standard guidelines in Korea. However, recent advances in the diagnosis and management of thyroid nodules have necessitated the revision of the original recommendations. The task force of the KSThR has revised the Korean Thyroid Imaging Reporting and Data System and recommendations for US lexicon, biopsy criteria, US criteria of extrathyroidal extension, optimal thyroid computed tomography protocol, and US follow-up of thyroid nodules before and after biopsy. The biopsy criteria were revised to reduce unnecessary biopsies for benign nodules while maintaining an appropriate sensitivity for the detection of malignant tumors in small (1?2 cm) thyroid nodules. The goal of these recommendations is to provide the optimal scientific evidence and expert opinion consensus regarding US-based diagnosis and management of thyroid nodules.
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KEYWORD
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Thyroid nodule, Thyroid neoplasm, Lymph nodes, Ultrasonography, Computed tomography, Fine needle aspiration
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