Literature DB >> 29498593

Reduction in Thyroid Nodule Biopsies and Improved Accuracy with American College of Radiology Thyroid Imaging Reporting and Data System.

Jenny K Hoang1, William D Middleton1, Alfredo E Farjat1, Jill E Langer1, Carl C Reading1, Sharlene A Teefey1, Nicole Abinanti1, Fernando J Boschini1, Abraham J Bronner1, Nirvikar Dahiya1, Barbara S Hertzberg1, Justin R Newman1, Daniel Scanga1, Robert C Vogler1, Franklin N Tessler1.   

Abstract

Purpose To compare the biopsy rate and diagnostic accuracy before and after applying the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) criteria for thyroid nodule evaluation. Materials and Methods In this retrospective study, eight radiologists with 3-32 years experience in thyroid ultrasonography (US) reviewed US features of 100 thyroid nodules that were cytologically proven, pathologically proven, or both in December 2016. The radiologists evaluated nodule features in five US categories and provided biopsy recommendations based on their own practice patterns without knowledge of ACR TI-RADS criteria. Another three expert radiologists served as the reference standard readers for the imaging findings. ACR TI-RADS criteria were retrospectively applied to the features assigned by the eight radiologists to produce biopsy recommendations. Comparison was made for biopsy rate, sensitivity, specificity, and accuracy. Results Fifteen of the 100 nodules (15%) were malignant. The mean number of nodules recommended for biopsy by the eight radiologists was 80 ± 16 (standard deviation) (range, 38-95 nodules) based on their own practice patterns and 57 ± 11 (range, 37-73 nodules) with retrospective application of ACR TI-RADS criteria. Without ACR TI-RADS criteria, readers had an overall sensitivity, specificity, and accuracy of 95% (95% confidence interval [CI]: 83%, 99%), 20% (95% CI: 16%, 25%), and 28% (95% CI: 21%, 37%), respectively. After applying ACR TI-RADS criteria, overall sensitivity, specificity, and accuracy were 92% (95% CI: 68%, 98%), 44% (95% CI: 33%, 56%), and 52% (95% CI: 40%, 63%), respectively. Although fewer malignancies were recommended for biopsy with ACR TI-RADS criteria, the majority met the criteria for follow-up US, with only three of 120 (2.5%) malignancy encounters requiring no follow-up or biopsy. Expert consensus recommended biopsy in 55 of 100 nodules with ACR TI-RADS criteria. Their sensitivity, specificity, and accuracy were 87% (95% CI: 48%, 98%), 51% (95% CI: 40%, 62%), and 56% (95% CI: 46%, 66%), respectively. Conclusion ACR TI-RADS criteria offer a meaningful reduction in the number of thyroid nodules recommended for biopsy and significantly improve the accuracy of recommendations for nodule management. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 29498593     DOI: 10.1148/radiol.2018172572

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


  31 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.  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

3.  Learnability and reproducibility of ACR Thyroid Imaging, Reporting and Data System (TI-RADS) in postgraduate freshmen.

Authors:  Dengke Teng; Ping Fu; Wenjia Li; Feng Guo; Hui Wang
Journal:  Endocrine       Date:  2020-01-09       Impact factor: 3.633

4.  NEW PROPOSED FORMULA OF TI-RADS CLASSIFICATION BASED ON ULTRASOUND FINDINGS.

Authors:  S Rahemi Karizaki; S A Alamdaran; S Bonakdaran; N Morovatdar; A H Jafarain; A Sharifi Hadad; A Hadadzade
Journal:  Acta Endocrinol (Buchar)       Date:  2020 Apr-Jun       Impact factor: 0.877

5.  Large thyroid nodules: should size alone matter?

Authors:  Joyce Zhi'en Tang; Jasmine Ming Er Chua; Tian Kai Woon; Bien Soo Tan; Kimberley Liqin Kiong
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-11-05       Impact factor: 2.503

6.  Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing.

Authors:  Andrew L Callen; Sara M Dupont; Adi Price; Ben Laguna; David McCoy; Bao Do; Jason Talbott; Marc Kohli; Jared Narvid
Journal:  J Digit Imaging       Date:  2020-08-19       Impact factor: 4.056

7.  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

8.  An efficient deep convolutional neural network model for visual localization and automatic diagnosis of thyroid nodules on ultrasound images.

Authors:  Jialin Zhu; Sheng Zhang; Ruiguo Yu; Zhiqiang Liu; Hongyan Gao; Bing Yue; Xun Liu; Xiangqian Zheng; Ming Gao; Xi Wei
Journal:  Quant Imaging Med Surg       Date:  2021-04

9.  Application of ultrasonic shear wave elastography and contrast-enhanced ultrasound in the differential diagnosis of patients with benign and malignant thyroid lesions.

Authors:  Jing Xu; Ping Wang; Wensheng Yue; Yuqun Luo; Zukun Li
Journal:  Gland Surg       Date:  2020-12

10.  Comparison of British Thyroid Association, American College of Radiology TIRADS and Artificial Intelligence TIRADS with histological correlation: diagnostic performance for predicting thyroid malignancy and unnecessary fine needle aspiration rate.

Authors:  Linda Watkins; Greg O'Neill; David Young; Claire McArthur
Journal:  Br J Radiol       Date:  2021-06-09       Impact factor: 3.039

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