Literature DB >> 32396776

COMPARISON OF DIAGNOSTIC PERFORMANCE BETWEEN THE AMERICAN COLLEGE OF RADIOLOGY THYROID IMAGING REPORTING AND DATA SYSTEM AND AMERICAN THYROID ASSOCIATION GUIDELINES: A SYSTEMATIC REVIEW.

Qing Zhang, Jian Ma, Weijing Sun, Lanlan Zhang.   

Abstract

Objective: We aimed to compare the diagnostic accuracy of the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) with the American Thyroid Association (ATA) guidelines in risk stratification of thyroid nodules.
Methods: We performed a computerized search of Medline, EMBASE, Web of Science, Cochrane Library, and Google Scholar to identify eligible articles published before July 31, 2019. We included studies providing head-to-head comparison between ACR TI-RADS and ATA guidelines, with fine-needle aspiration biopsy cytology results or pathology results as the reference standard. Quality assessment of included studies was conducted using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Summary estimates of sensitivity and specificity were calculated by bivariate modeling and hierarchical summary receiver operating characteristic modeling. We also performed multiple subgroup analyses and meta-regression.
Results: Twelve original articles with 13,000 patients were included, involving a total of 14,867 thyroid nodules. The pooled sensitivity of ACR TI-RADS and ATA guidelines was 0.84 (95% confidence interval [CI], 0.76-0.89) and 0.89 (95% CI, 0.80-0.95), with specificity of 0.67 (95% CI, 0.56-0.76) and 0.46 (95% CI, 0.29-0.63), respectively. There were no significant differences between the two classification criteria in terms of both sensitivity (P = .26) and specificity (P = .05). For five studies providing direct comparison of ACR TI-RADS, ATA guidelines, and Korean TI-RADS, our analyses showed that the Korean TI-RADS yielded the highest sensitivity (0.89; 95% CI, 0.82-0.94), but at the cost of a significant decline in specificity (0.23; 95% CI, 0.17-0.30).
Conclusion: Both classification criteria demonstrated favorable sensitivity and moderate specificity in the stratification of thyroid nodules. However, use of ACR TI-RADS could avoid a large number of biopsies at the cost of only a slight decrease in sensitivity. Abbreviations: ACR = American College of Radiology; ATA = American Thyroid Association; FNAB = fine-needle aspiration biopsy; HSROC = hierarchical summary receiver operating characteristic; SROC = summary receiver operating characteristic; TI-RADS = Thyroid Imaging Reporting and Data System; US = ultrasonography.

Entities:  

Mesh:

Year:  2020        PMID: 32396776     DOI: 10.4158/EP-2019-0237

Source DB:  PubMed          Journal:  Endocr Pract        ISSN: 1530-891X            Impact factor:   3.443


  6 in total

1.  Systematic Review and Meta-Analysis of American College of Radiology TI-RADS Inter-Reader Reliability for Risk Stratification of Thyroid Nodules.

Authors:  Wei Li; Yuan Sun; Haibing Xu; Wenwen Shang; Anding Dong
Journal:  Front Oncol       Date:  2022-05-13       Impact factor: 5.738

2.  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

3.  The Diagnostic Efficacy of the American College of Radiology (ACR) Thyroid Imaging Report and Data System (TI-RADS) and the American Thyroid Association (ATA) Risk Stratification Systems for Thyroid Nodules.

Authors:  Fei Chen; Yungang Sun; Guanqi Chen; Yuqian Luo; Guifang Xue; Kongmei Luo; Haoyuan Ma; Jiaxin Yao; Zhangtian Zhu; Guanbin Li; Qiang Li
Journal:  Comput Math Methods Med       Date:  2022-01-15       Impact factor: 2.238

4.  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

5.  Reducing the Number of Unnecessary Thyroid Nodule Biopsies With the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS).

Authors:  Bader Abou Shaar; Moussa Meteb; Ghassan Awad El-Karim; Youssef Almalki
Journal:  Cureus       Date:  2022-03-13

6.  Diagnostic Performances of the ACR-TIRADS System in Thyroid Nodules Triage: A Prospective Single Center Study.

Authors:  Davide Leni; Davide Seminati; Davide Fior; Francesco Vacirca; Giulia Capitoli; Laura Cazzaniga; Camillo Di Bella; Vincenzo L'Imperio; Stefania Galimberti; Fabio Pagni
Journal:  Cancers (Basel)       Date:  2021-05-06       Impact factor: 6.639

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.