Literature DB >> 29465333

US Fine-Needle Aspiration Biopsy for Thyroid Malignancy: Diagnostic Performance of Seven Society Guidelines Applied to 2000 Thyroid Nodules.

Eun Ju Ha1, Dong Gyu Na1, Jung Hwan Baek1, Jin Yong Sung1, Ji-Hoon Kim1, So Young Kang1.   

Abstract

Purpose To compare the diagnostic performance of ultrasonography (US)-based fine-needle aspiration biopsy (FNAB) criteria from seven international societies in the detection of thyroid malignancy. Materials and Methods This study included a total of 2000 consecutive thyroid nodules (≥1 cm) in 1802 patients with final diagnoses from January 2010 to May 2011. US features of the thyroid nodules were retrospectively reviewed and were classified according to the categories defined by the seven international society guidelines. The diagnostic performance of US-based FNAB criteria in the detection of thyroid malignancy and unnecessary FNAB rates were calculated and compared by using a generalized estimating equation method. Results Of the 2000 thyroid nodules, 1546 (78.3%) were benign and 454 (22.7%) were malignant, with papillary carcinoma comprising 85.5% of all malignancies. The Korean Thyroid Association/Korean Society of Thyroid Radiology (KTA/KSThR) (94.5%), National Comprehensive Cancer Network (NCCN) (92.5%), and American Thyroid Association (ATA) (89.6%) guidelines were more sensitive than those of the American Association of Clinical Endocrinologists/American College of Endocrinology/Associazione Medici Endocrinologi (AACE/ACE/AME) (80.4%), American College of Radiology (ACR) (74.7%), French Society of Endocrinology (FSE) (72.7%), and Society of Radiology in Ultrasound (SRU) (70.9%) (P < .001), while the latter guidelines had higher specificity (P < .001). The rate of unnecessary FNAB was lowest with the ACR guidelines (25.3%), followed by the FSE (29.1%), AACE/ACE/AME (32.5%), SRU (45.2%), ATA (51.7%), NCCN (54.0%), and KTA/KSThR (56.9%) guidelines. Conclusion Because the diagnostic performance of US-based FNAB criteria varies according to the individual international society guidelines, clinicians should be aware of the strengths and weaknesses of US-based FNAB criteria in the management of thyroid nodules. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 29465333     DOI: 10.1148/radiol.2018171074

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  32 in total

1.  Fine needle aspiration biopsy indications for thyroid nodules: compare a point-based risk stratification system with a pattern-based risk stratification system.

Authors:  Jing-Liang Ruan; Hai-Yun Yang; Rong-Bin Liu; Ming Liang; Ping Han; Xiao-Lin Xu; Bao-Ming Luo
Journal:  Eur Radiol       Date:  2019-02-04       Impact factor: 5.315

2.  Clinical practice guidelines on ultrasound-guided fine needle aspiration biopsy of thyroid nodules: a critical appraisal using AGREE II.

Authors:  Salvatore Gitto; Sotirios Bisdas; Ilaria Emili; Luca Nicosia; Lorenzo Carlo Pescatori; Kunwar Bhatia; Ravi K Lingam; Francesco Sardanelli; Luca Maria Sconfienza; Giovanni Mauri
Journal:  Endocrine       Date:  2019-03-22       Impact factor: 3.633

3.  Comparison and preliminary discussion of the reasons for the differences in diagnostic performance and unnecessary FNA biopsies between the ACR TIRADS and 2015 ATA guidelines.

Authors:  Xiao-Li Wu; Jia-Rui Du; Hui Wang; Chun-Xiang Jin; Guo-Qing Sui; Dong-Yan Yang; Yuan-Qiang Lin; Qiang Luo; Ping Fu; He-Qun Li; Deng-Ke Teng
Journal:  Endocrine       Date:  2019-03-04       Impact factor: 3.633

4.  A Multidisciplinary Head-to-Head Comparison of American College of Radiology Thyroid Imaging and Reporting Data System and American Thyroid Association Ultrasound Risk Stratification Systems.

Authors:  Bernice L Huang; Susana A Ebner; Jasnit S Makkar; Stuart Bentley-Hibbert; Robert J McConnell; James A Lee; Elizabeth M Hecht; Jennifer H Kuo
Journal:  Oncologist       Date:  2019-11-19

5.  Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination.

Authors:  Ting Xu; Ya Wu; Run-Xin Wu; Yu-Zhi Zhang; Jing-Yu Gu; Xin-Hua Ye; Wei Tang; Shu-Hang Xu; Chao Liu; Xiao-Hong Wu
Journal:  Endocrine       Date:  2018-11-24       Impact factor: 3.633

6.  A Comparative Study of ARHI Imprinted Gene Detection and Fine-Needle Aspiration Cytology in the Differential Diagnosis of Benign and Malignant Thyroid Nodules.

Authors:  Dazhong Zou; Chengwei Wu; Jixuan Miao; Qing Shao; Wenlong Huang; Jianda Huang; Guihua Wu; Qing Zhang
Journal:  Genet Test Mol Biomarkers       Date:  2019-08-14

7.  Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China.

Authors:  JianQiao Zhou; YanYan Song; WeiWei Zhan; Xi Wei; Sheng Zhang; RuiFang Zhang; Ying Gu; Xia Chen; Liying Shi; XiaoMao Luo; LiChun Yang; QiaoYing Li; BaoYan Bai; XinHua Ye; Hong Zhai; Hua Zhang; XiaoHong Jia; YiJie Dong; JingWen Zhang; ZhiFang Yang; HuiTing Zhang; Yi Zheng; WenWen Xu; LiMei Lai; LiXue Yin
Journal:  Endocrine       Date:  2020-08-27       Impact factor: 3.633

8.  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

9.  Diagnostic performance of US-based FNAB criteria of the 2020 Chinese guideline for malignant thyroid nodules: comparison with the 2017 American College of Radiology guideline, the 2015 American Thyroid Association guideline, and the 2016 Korean Thyroid Association guideline.

Authors:  Hui Zhu; Yan Yang; Senmin Wu; Kai Chen; Hongxia Luo; Jianle Huang
Journal:  Quant Imaging Med Surg       Date:  2021-08

10.  Reproducibility and Interobserver Agreement of Different Thyroid Imaging and Reporting Data Systems (TIRADS).

Authors:  Yulia P Sych; Valentin V Fadeev; Elena P Fisenko; Marina Kalashnikova
Journal:  Eur Thyroid J       Date:  2020-09-17
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