Korean Thyroid Imaging Reporting and Data System: Current Status, Challenges, and Future Perspectives

被引：18
|
作者：
Ha, Eun Ju [1 ]
Na, Dong Gyu [2 ]
Baek, Jung Hwan [3 ,4 ]
机构：
[1] Ajou Univ, Dept Radiol, Sch Med, Suwon, South Korea
[2] Univ Ulsan, GangNeung Asan Hosp, Dept Radiol, Coll Med, 38 Bangdong Gil, Kangnung 25440, South Korea
[3] Univ Ulsan, Asan Med Ctr, Dept Radiol, Coll Med, Seoul, South Korea
[4] Univ Ulsan, Asan Med Ctr, Res Inst Radiol, Coll Med, Seoul, South Korea
来源：
KOREAN JOURNAL OF RADIOLOGY | 2021年 / 22卷 / 09期
关键词：
Fine-needle aspiration; Thyroid cancer; Thyroid imaging reporting and data system; Thyroid nodules; Ultrasonography; FINE-NEEDLE-ASPIRATION; RISK-STRATIFICATION; MALIGNANCY RISK; DIAGNOSTIC PERFORMANCE; CLASSIFICATION SYSTEMS; ASSOCIATION GUIDELINES; CONSENSUS STATEMENT; CANCER INCIDENCE; UNITED-STATES; TUMOR SIZE;
D O I：
10.3348/kjr.2021.0106
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
The Korean Thyroid Imaging Reporting and Data System (K-TIRADS) is an ultrasound-based risk stratification system for thyroid nodules that has been widely applied for the diagnosis and management of thyroid nodules since 2016. This review article provides an overview of the use of the K-TIRADS compared with other risk stratification systems. Moreover, this review describes the challenges in the clinical application of the K-TIRADS, as well as future development directions toward the personalized management of patients with thyroid nodules.
引用
收藏
页码：1569 / 1578
页数：10
相关论文
共 50 条
  • [31] Ferroptosis in Cardiovascular Diseases: Current Status, Challenges, and Future Perspectives
    Guo, Yi
    Lu, Chanjun
    Hu, Ke
    Cai, Chuanqi
    Wang, Weici
    BIOMOLECULES, 2022, 12 (03)
  • [32] Chemical Imaging System: Current status and challenges
    Ifarraguerri, A
    Jensen, JO
    ALGORITHMS FOR MULTISPECTRAL, HYPERSPECTRAL AND ULTRASPECTRAL IMAGERY VII, 2001, 4381 : 143 - 149
  • [33] The geography of genetic data: Current status and future perspectives
    Peng, Xin
    Li, Qiang
    Cheng, Zhentao
    Huang, Xiaolei
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 11
  • [34] The Usefulness of the Thyroid Imaging Reporting and Data System in Determining Thyroid Malignancy
    Xie, Michael
    Gupta, Michael K.
    Archibald, Stuart D.
    Jackson, B. Stanley
    Massey Young, James Edward
    Zhang, Han
    LARYNGOSCOPE, 2020, 130 (08): : 2087 - 2091
  • [35] The Protein Data Bank: Current status and future challenges
    Abola, EE
    Manning, NO
    Prilusky, J
    Stampf, DR
    Sussman, JL
    JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY, 1996, 101 (03) : 231 - 241
  • [36] The protein data bank: Current status and future challenges
    Sussman, JL
    Abola, EE
    Manning, NO
    Prilusky, J
    Ritter, O
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1997, 214 : 225 - COMP
  • [37] PET imaging for thyroid cancers: Current status and future directions
    Giraudet, Anne-Laure
    Taieb, David
    ANNALES D ENDOCRINOLOGIE, 2017, 78 (01) : 38 - 42
  • [38] American College of Radiology Thyroid Imaging Reporting and Data System standardises reporting of thyroid ultrasounds
    Botha, Mariska
    Kisansa, Margaret
    Greeff, Wim
    SA JOURNAL OF RADIOLOGY, 2020, 24 (01):
  • [39] Impact of thyroid nodule sizes on the diagnostic performance of Korean thyroid imaging reporting and data system and contrast-enhanced ultrasound
    Zhao, Huaqun
    Liu, Xueling
    Lei, Bei
    Cheng, Ping
    Li, Jian
    Wu, Yedong
    Ma, Zhen
    CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, 2019, 72 (03) : 317 - 326
  • [40] Comparison of Korean vs. American Thyroid Imaging Reporting and Data System in Malignancy Risk Assessment of Indeterminate Thyroid Nodules
    Kang, Sunyoung
    Kwon, Seul Ki
    Choi, Hoon Sung
    Kim, Min Joo
    Park, Young Joo
    Park, Do Joon
    Cho, Sun Wook
    ENDOCRINOLOGY AND METABOLISM, 2021, 36 (05) : 1111 - 1120
12345