Literature DB >> 29596298

A Single-Center Retrospective Validation Study of the American College of Radiology Thyroid Imaging Reporting and Data System.

Yi Zheng1, Shangyan Xu1, Huili Kang2, Weiwei Zhan1.   

Abstract

OBJECTIVE: This study aimed to evaluate a new risk stratification system, the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS), published in 2017.
MATERIALS AND METHODS: From January 2015 to December 2016, 1033 thyroid nodules in 1013 patients who had undergone sonography and thyroid surgery or fine-needle aspiration (FNA) in our hospital were included. The sonographic features were described in a standard manner and analyzed according to the white paper of the ACR TI-RADS Committee. Nodules were assigned points for each feature, and the points were totaled to determine the final TI-RADS levels.
RESULTS: Of the 1033 nodules, 725 were benign and 308 were malignant proven by operation or FNA. The malignant risk was associated with the composition, echogenicity, shape, margins, and echogenic foci of the nodules (P < 0.001). The calculated risk of malignancy was higher in nodules with macrocalcifications than those with peripheral calcifications, which is different from the ACR TI-RADS. The calculated malignancy rates of nodules with TR5, TR4, TR3, and TR2 were 67.1%, 13.0%, 1.1%, and 0%, respectively, which showed a higher malignant risk than the suggested threshold of TR5 in the ACR TI-RADS. Six nodules with TR4 recommended for no follow-up and 55 nodules with TR5 recommended for follow-up were malignant with cervical lymph node metastasis.
CONCLUSIONS: The ACR TI-RADS provides effective malignancy risk stratification for thyroid nodules and was useful for the decision for FNA. However, the points assigned for echogenic foci, the set of the TI-RADS risk thresholds, and FNA thresholds may need more consideration and prospective validation.

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Mesh:

Year:  2018        PMID: 29596298     DOI: 10.1097/RUQ.0000000000000350

Source DB:  PubMed          Journal:  Ultrasound Q        ISSN: 0894-8771            Impact factor:   1.657


  8 in total

1.  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

2.  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

3.  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

4.  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

5.  A computer-aided diagnosing system in the evaluation of thyroid nodules-experience in a specialized thyroid center.

Authors:  Shujun Xia; Jiejie Yao; Wei Zhou; Yijie Dong; Shangyan Xu; Jianqiao Zhou; Weiwei Zhan
Journal:  World J Surg Oncol       Date:  2019-12-06       Impact factor: 2.754

Review 6.  Nodular Thyroid Disease in the Era of Precision Medicine.

Authors:  Dario Tumino; Giorgio Grani; Marta Di Stefano; Maria Di Mauro; Maria Scutari; Teresa Rago; Laura Fugazzola; Maria Grazia Castagna; Fabio Maino
Journal:  Front Endocrinol (Lausanne)       Date:  2020-01-23       Impact factor: 5.555

7.  American College of Radiology Thyroid Imaging Reporting and Data System standardises reporting of thyroid ultrasounds.

Authors:  Mariska Botha; Margaret Kisansa; Wim Greeff
Journal:  SA J Radiol       Date:  2020-02-06

Review 8.  2021 Korean Thyroid Imaging Reporting and Data System and Imaging-Based Management of Thyroid Nodules: Korean Society of Thyroid Radiology Consensus Statement and Recommendations.

Authors:  Eun Ju Ha; Sae Rom Chung; Dong Gyu Na; Hye Shin Ahn; Jin Chung; Ji Ye Lee; Jeong Seon Park; Roh-Eul Yoo; Jung Hwan Baek; Sun Mi Baek; Seong Whi Cho; Yoon Jung Choi; Soo Yeon Hahn; So Lyung Jung; Ji-Hoon Kim; Seul Kee Kim; Soo Jin Kim; Chang Yoon Lee; Ho Kyu Lee; Jeong Hyun Lee; Young Hen Lee; Hyun Kyung Lim; Jung Hee Shin; Jung Suk Sim; Jin Young Sung; Jung Hyun Yoon; Miyoung Choi
Journal:  Korean J Radiol       Date:  2021-10-26       Impact factor: 3.500

  8 in total

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