Literature DB >> 28402167

Multiinstitutional Analysis of Thyroid Nodule Risk Stratification Using the American College of Radiology Thyroid Imaging Reporting and Data System.

William D Middleton1, Sharlene A Teefey1, Carl C Reading2, Jill E Langer3, Michael D Beland4, Margaret M Szabunio5, Terry S Desser6.   

Abstract

OBJECTIVE: Guidelines for managing thyroid nodules are highly dependent on risk stratification based on sonographic findings. The purpose of this study is to evaluate the risk stratification system used by the American College of Radiology Thyroid Imaging Reporting and Data System (TIRADS).
MATERIALS AND METHODS: Patients with thyroid nodules who underwent sonography and fine-needle aspiration were enrolled in a multiinstitutional study. The sonographic nodule features evaluated in the study were composition, echogenicity, margins, and echogenic foci. Images were reviewed by two radiologists who were blinded to the results of cytologic analysis. Nodules were assigned points for each feature, and the points were totaled to determine the final TIRADS level (TR1-TR5). The risk of cancer associated with each point total and final TIRADS level was determined.
RESULTS: A total of 3422 nodules, 352 of which were malignant, were studied. The risk of malignancy was closely associated with the composition, echogenicity, margins, and echogenic foci of the nodules (p < 0.0001, in all cases). An increased aggregate risk of nodule malignancy was noted as the TIRADS point level increased from 0 to 10 (p < 0.0001) and as the final TIRADS level increased from TR1 to TR5 (p < 0.0001). Of the 3422 nodules, 2948 (86.1%) had risk levels that were within 1% of the TIRADS risk thresholds. Of the 474 nodules that were more than 1% outside these thresholds, 88.0% (417/474) had a risk level that was below the TIRADS threshold.
CONCLUSION: The aggregate risk of malignancy for nodules associated with each individual TIRADS point level (0-10) and each final TIRADS level (TR1-TR5) falls within the TIRADS risk stratification thresholds. A total of 85% of all nodules were within 1% of the specified TIRADS risk thresholds.

Entities:  

Keywords:  thyroid TIRADS; thyroid cancer; thyroid guidelines; thyroid nodules; thyroid ultrasound

Mesh:

Year:  2017        PMID: 28402167     DOI: 10.2214/AJR.16.17613

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


  25 in total

1.  Performance of a Genomic Sequencing Classifier for the Preoperative Diagnosis of Cytologically Indeterminate Thyroid Nodules.

Authors:  Kepal N Patel; Trevor E Angell; Joshua Babiarz; Neil M Barth; Thomas Blevins; Quan-Yang Duh; Ronald A Ghossein; R Mack Harrell; Jing Huang; Giulia C Kennedy; Su Yeon Kim; Richard T Kloos; Virginia A LiVolsi; Gregory W Randolph; Peter M Sadow; Michael H Shanik; Julie A Sosa; S Thomas Traweek; P Sean Walsh; Duncan Whitney; Michael W Yeh; Paul W Ladenson
Journal:  JAMA Surg       Date:  2018-09-01       Impact factor: 14.766

2.  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

3.  Ultrasound guidelines for pediatric thyroid nodules: proceeding with caution.

Authors:  Jennifer E Lim-Dunham
Journal:  Pediatr Radiol       Date:  2019-06-01

4.  [Applicational value of 2017 ACR TI-RADS stratification in diagnosing thyroid nodules].

Authors:  P Fu; W Chen; L G Cui; H Y Ge; S M Wang
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-12-18

5.  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

6.  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

7.  Investigating the Effect of Thyroid Nodule Location on the Risk of Thyroid Cancer.

Authors:  Sina Jasim; Thomas J Baranski; Sharlene A Teefey; William D Middleton
Journal:  Thyroid       Date:  2020-01-28       Impact factor: 6.568

8.  Taller-Than-Wide Shape: A New Definition Improves the Specificity of TIRADS Systems.

Authors:  Giorgio Grani; Livia Lamartina; Valeria Ramundo; Rosa Falcone; Cristiano Lomonaco; Laura Ciotti; Martina Barone; Marianna Maranghi; Vito Cantisani; Sebastiano Filetti; Cosimo Durante
Journal:  Eur Thyroid J       Date:  2019-11-15

9.  Effects of Implementing a Higher Threshold for Recommending Thyroid Biopsies on Malignancy Rates.

Authors:  Kori Higashiya; Liam Delgesso; Hyo-Chun Yoon
Journal:  Perm J       Date:  2021-05

10.  Malignancy Risk Stratification of Thyroid Nodules with Macrocalcification and Rim Calcification Based on Ultrasound Patterns.

Authors:  Hwa Seon Shin; Dong Gyu Na; Wooyul Paik; So Jin Yoon; Hye Yun Gwon; Byeong Joo Noh; Won Jun Kim
Journal:  Korean J Radiol       Date:  2021-02-02       Impact factor: 3.500

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