Literature DB >> 32097031

Interreader Concordance of the TI-RADS: Impact of Radiologist Experience.

Ryan Chung1, Andrew B Rosenkrantz1, Genevieve L Bennett1, Bari Dane1, Jill E Jacobs1, Chrystia Slywotzky1, Paul N Smereka1, Angela Tong1, Sheila Sheth1,2.   

Abstract

OBJECTIVE. The objective of this article is to assess radiologist concordance in characterizing thyroid nodules using the American College of Radiology Thyroid Imaging Reporting and Data System (TI-RADS), focusing on the effect of radiologist experience on reader concordance. MATERIALS AND METHODS. Three experienced and three less experienced radiologists assessed 150 thyroid nodules using the TI-RADS lexicon. Percent concordance was determined for various endpoints. RESULTS. Interreader concordance for the five TI-RADS categories was 87.2% for shape, 81.2% for composition, 76.1% for echogenicity, 72.9% for margins, and 69.8% for echogenic foci. Concordance for individual features was 96.3% for rim calcifications, 90.8% for macrocalcifications, 90.1% for spongiform, 83.5% for comet tail artifact, and 77.7% for punctate echogenic foci. Concordance for the TI-RADS level and recommendation for fine-needle aspiration (FNA) were 50.4% and 78.9%, respectively. Concordance was significantly (p < 0.05) higher for less experienced readers in identifying margins (84.3% vs 67.4%), echogenic foci (76.9% vs 69.3%), comet tail artifact (89.6% vs 79.2%), and punctate echogenic foci (85.3% vs 75.5%), and lower for peripheral rim calcifications (95.0% vs 97.8 %), but was not different (p > 0.05) for the remaining categories and features. CONCLUSION. A range of TI-RADS categories, features, and recommendations for FNA had generally moderate interreader agreement among six radiologists. Our results show that concordance for numerous characteristics was significantly higher for the less experienced versus the more experienced readers. These results suggest that less experienced readers relied more on the explicit TI-RADS criteria, whereas the experienced radiologists partially relied on their accumulated experience when forming impressions. However, the overall TI-RADS level and recommendation for FNA were unaffected, supporting the robustness of the TI-RADS lexicon and its continued use in practice.

Entities:  

Keywords:  TI-RADS; interreader concordance; thyroid cancer; thyroid nodule

Mesh:

Year:  2020        PMID: 32097031     DOI: 10.2214/AJR.19.21913

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


  8 in total

1.  Diagnostic accuracy and inter-observer reliability of the O-RADS scoring system among staff radiologists in a North American academic clinical setting.

Authors:  Yeli Pi; Mitchell P Wilson; Prayash Katlariwala; Medica Sam; Thomas Ackerman; Lee Paskar; Vimal Patel; Gavin Low
Journal:  Abdom Radiol (NY)       Date:  2021-06-29

2.  Clinical study of ultrasonic evaluation of T/N staging of differentiated thyroid carcinoma using AJCC 8th staging criteria.

Authors:  Yu Liang; Xingxiang Huang; Zhe Song; Yang Yang; Ju Lei; Mei Ren; Li Tan; Hui Zhang
Journal:  PLoS One       Date:  2022-06-16       Impact factor: 3.752

3.  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

4.  Interobserver variability in ultrasound assessment of thyroid nodules.

Authors:  Jaber Alyami; Fahad F Almutairi; Sultan Aldoassary; Amani Albeshry; Ali Almontashri; Mazen Abounassif; Majed Alamri
Journal:  Medicine (Baltimore)       Date:  2022-10-14       Impact factor: 1.817

5.  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

6.  High Risk Thyroid Nodule Discrimination and Management by Modified TI-RADS.

Authors:  Menghui Li; Lijuan Wei; Fangxuan Li; Yanyan Kan; Xiaofeng Liang; Huan Zhang; Juntian Liu
Journal:  Cancer Manag Res       Date:  2021-01-11       Impact factor: 3.989

7.  Effect of training on resident inter-reader agreement with American College of Radiology Thyroid Imaging Reporting and Data System.

Authors:  Yang Du; Meredith Bara; Prayash Katlariwala; Roger Croutze; Katrin Resch; Jonathan Porter; Medica Sam; Mitchell P Wilson; Gavin Low
Journal:  World J Radiol       Date:  2022-01-28

8.  Ultrasound Radiomics Nomogram to Diagnose Sub-Centimeter Thyroid Nodules Based on ACR TI-RADS.

Authors:  Wenwu Lu; Di Zhang; Yuzhi Zhang; Xiaoqin Qian; Cheng Qian; Yan Wei; Zicong Xia; Wenbo Ding; Xuejun Ni
Journal:  Cancers (Basel)       Date:  2022-10-03       Impact factor: 6.575

  8 in total

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