Literature DB >> 30917027

Similarities and Differences Between Thyroid Imaging Reporting and Data Systems.

So Jin Yoon1,2,3,4, Dong Gyu Na1,2,3,4, Hye Yun Gwon1,2,3,4, Wooyul Paik1,2,3,4, Won Jun Kim1,2,3,4, Jae Seok Song1,2,3,4, Myoung Sook Shim1,2,3,4.   

Abstract

OBJECTIVE. The purposes of this study were to identify the similarities and differences among the Korean Thyroid Imaging Reporting and Data System (TIRADS), American College of Radiology (ACR) TI-RADS, and European TIRADS and to compare the diagnostic performance of sonographic fine-needle aspiration (FNA) criteria for detecting malignant thyroid nodules. MATERIALS AND METHODS. This study included 2274 consecutively evaluated thyroid nodules 1 cm or larger in 1836 patients with final diagnoses from January 2011 to December 2016. US features of the nodules were retrospectively reviewed and classified according to three published guidelines from international societies. We compared the US lexicons, categories, and diagnostic performance of the FNA criteria for malignant nodules among the three reporting systems. RESULTS. Of the 2274 thyroid nodules, 1974 (86.8%) were benign and 300 (13.2%) were malignant; 93.7% of all malignancies were papillary carcinoma. Most of the US lexicons were similar among the three systems except for the definition of echogenicity of a nodule of mixed echogenicity in European TIRADS. Although the categories had strong correlations (r = 0.777-0.877, all p < 0.001) among the three systems, significant differences were observed in categories 5, 4, and 3 of nodules (all p < 0.001) and in the sensitivity, specificity, and rate of unnecessary FNA of the FNA criteria for malignancy (all p < 0.001). CONCLUSION. Although the three systems had similarities in most US lexicons, significant differences were observed in the classified categories and diagnostic performance of the FNA criteria for malignancy.

Entities:  

Keywords:  TI-RADS; TIRADS; imaging; reporting systems; thyroid

Mesh:

Year:  2019        PMID: 30917027     DOI: 10.2214/AJR.18.20510

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  9 in total

1.  Clinician Agreement on the Classification of Thyroid Nodules Ultrasound Features: A Survey of 2 Endocrine Societies.

Authors:  Nydia Burgos; Jing Zhao; Juan P Brito; Jenny K Hoang; Fabian Pitoia; Spyridoula Maraka; M Regina Castro; Ji-Hyun Lee; Naykky Singh Ospina
Journal:  J Clin Endocrinol Metab       Date:  2022-07-14       Impact factor: 6.134

2.  Diagnostic performance rates of the ACR-TIRADS and EU-TIRADS based on histopathological evidence.

Authors:  İlhan Hekimsoy; Egemen Öztürk; Yeşim Ertan; Mehmet Nurullah Orman; Gülgün Kavukçu; Ahmet Gökhan Özgen; Murat Özdemir; Süha Süreyya Özbek
Journal:  Diagn Interv Radiol       Date:  2021-07       Impact factor: 2.630

3.  2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS.

Authors:  JianQiao Zhou; LiXue Yin; Xi Wei; Sheng Zhang; YanYan Song; BaoMing Luo; JianChu Li; LinXue Qian; LiGang Cui; Wen Chen; ChaoYang Wen; YuLan Peng; Qin Chen; Man Lu; Min Chen; Rong Wu; Wei Zhou; EnSheng Xue; YingJia Li; LiChun Yang; ChengRong Mi; RuiFang Zhang; Gang Wu; GuoQing Du; DaoZhong Huang; WeiWei Zhan
Journal:  Endocrine       Date:  2020-08-21       Impact factor: 3.633

4.  Thyroid Nodules with Isolated Macrocalcifications: Malignancy Risk of Isolated Macrocalcifications and Postoperative Risk Stratification of Malignant Tumors Manifesting as Isolated Macrocalcifications.

Authors:  Hye Yun Gwon; Dong Gyu Na; Byeong Joo Noh; Wooyul Paik; So Jin Yoon; Soo Jung Choi; Dong Rock Shin
Journal:  Korean J Radiol       Date:  2020-05       Impact factor: 3.500

5.  Diagnostic performance evaluation of different TI-RADS using ultrasound computer-aided diagnosis of thyroid nodules: An experience with adjusted settings.

Authors:  Nonhlanhla Chambara; Shirley Y W Liu; Xina Lo; Michael Ying
Journal:  PLoS One       Date:  2021-01-15       Impact factor: 3.240

6.  Comparison of Diagnostic Performance of Five Different Ultrasound TI-RADS Classification Guidelines for Thyroid Nodules.

Authors:  Ruoning Yang; Xiuhe Zou; Hao Zeng; Yunuo Zhao; Xuelei Ma
Journal:  Front Oncol       Date:  2020-11-16       Impact factor: 6.244

7.  Explore the Diagnostic Efficiency of Chinese Thyroid Imaging Reporting and Data Systems by Comparing With the Other Four Systems (ACR TI-RADS, Kwak-TIRADS, KSThR-TIRADS, and EU-TIRADS): A Single-Center Study.

Authors:  Qi Qi; Aiyun Zhou; Suping Guo; Xingzhi Huang; Songli Chen; Yaohui Li; Pan Xu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-10-27       Impact factor: 5.555

8.  Validating and Comparing C-TIRADS, K-TIRADS and ACR-TIRADS in Stratifying the Malignancy Risk of Thyroid Nodules.

Authors:  Qingfang Chen; Mingnan Lin; Size Wu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-17       Impact factor: 6.055

9.  Malignancy risk stratification of thyroid nodules according to echotexture and degree of hypoechogenicity: a retrospective multicenter validation study.

Authors:  Ji Ye Lee; Chang Yoon Lee; Inpyeong Hwang; Sung-Hye You; Sun-Won Park; Boeun Lee; Ra Gyoung Yoon; Younghee Yim; Ji-Hoon Kim; Dong Gyu Na
Journal:  Sci Rep       Date:  2022-10-05       Impact factor: 4.996

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.