Literature DB >> 32603229

Diagnostic Performance of American College of Radiology TI-RADS: A Systematic Review and Meta-Analysis.

Wei Li1, Yueming Wang2, Jing Wen1, Lanlan Zhang3, Yuan Sun4.   

Abstract

OBJECTIVE. The objective of our study was to investigate the diagnostic performance of the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) in the risk stratification of thyroid nodules. MATERIALS AND METHODS. A literature search of MEDLINE, Embase, Cochrane Library, Web of Science, and Google Scholar was performed for articles published before July 31, 2019. We included studies using ACR TI-RADS for stratification of thyroid nodules and cytology results from ultrasound-guided fine-needle aspiration biopsy (FNAB), pathology results from surgical resection of the thyroid, or both FNAB cytology and surgical pathology results as the reference standard. Summary estimates of sensitivity and specificity were calculated with the bivariate random-effects modeling and are visually presented in forest plots. We performed multiple subgroup analyses and meta-regression to explore the effects of various clinical settings. We compared ACR TI-RADS with the American Thyroid Association (ATA) guidelines and Korean Thyroid Imaging Reporting and Data System (TIRADS) in studies providing head-to-head comparison. RESULTS. Sixteen studies with 18,614 patients involving a total of 21,882 nodules, were included. The pooled sensitivity and specificity of ACR TI-RADS were 0.89 (95% CI, 0.81-0.93) and 0.70 (95% CI, 0.60-0.78), respectively. The calculated area under summary ROC curve was 0.86 (95% CI, 0.83-0.89), with a diagnostic odds ratio of 18.46 (95% CI, 9.77-34.88). Meta-regression revealed that patient number was a significant factor for heterogeneity (p = 0.02). Ten studies compared the performance of ACR TI-RADS and ATA guidelines: The pooled sensitivity was 0.83 versus 0.87 (p = 0.5), respectively, and the pooled specificity was 0.69 versus 0.50 (p = 0.1). In six studies providing direct comparison of ACR TI-RADS and Korean TIRADS, the pooled sensitivity was 0.85 versus 0.91 (p = 0.13), and the pooled specificity was 0.57 versus 0.24 (p < 0.001). CONCLUSION. ACR TI-RADS showed favorable sensitivity and moderate specificity in risk stratification of thyroid nodules. The use of ACR TI-RADS could avoid a large number of unnecessary biopsies, although at the cost of a slight decline in sensitivity.

Entities:  

Keywords:  meta-analysis; risk assessment; sonography; thyroid nodule; ultrasound

Year:  2020        PMID: 32603229     DOI: 10.2214/AJR.19.22691

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


  8 in total

1.  Summary of Meta-analyses of Studies Involving TIRADS Classifications (EU-TIRADS, ACR-TIRADS, and K-TIRADS) in Evaluating the Malignant Potential of Focal Lesions of The Thyroid Gland.

Authors:  Katarzyna Dobruch-Sobczak; Zbigniew Adamczewski; Marek Dedecjus; Andrzej Lewiński; Bartosz Migda; Marek Ruchała; Anna Skowrońska-Szcześniak; Ewelina Szczepanek-Parulska; Klaudia Zajkowska; Agnieszka Żyłka
Journal:  J Ultrason       Date:  2022-04-27

2.  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

3.  Comparison of Thyroid Imaging Reporting and Data Systems in Malignancy Risk Stratification of Indeterminate Thyroid Nodules.

Authors:  Bo Hyun Kim
Journal:  Endocrinol Metab (Seoul)       Date:  2021-10-28

4.  US-Elastography With Different Techniques for Thyroid Nodule Characterization: Systematic Review and Meta-analysis.

Authors:  Vito Cantisani; Annalisa De Silvestri; Valeria Scotti; Daniele Fresilli; Maria Grazia Tarsitano; Giorgia Polti; Olga Guiban; Eleonora Polito; Patrizia Pacini; Cosimo Durante; Giorgio Grani; Andrea M Isidori; Elisa Giannetta; Salvatore Sorrenti; Pierpaolo Trimboli; Carlo Catalano; Roberto Cirocchi; Augusto Lauro; Vito D'Andrea
Journal:  Front Oncol       Date:  2022-03-16       Impact factor: 6.244

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.  Tips for improving consistency of thyroid nodule interpretation with ACR TI-RADS.

Authors:  Gavin Low; Meredith Bara; Yang Du; Prayash Katlariwala; Roger Croutze; Katrin Resch; Jonathan Porter; Medica Sam; Mitchell Wilson
Journal:  J Ultrason       Date:  2022-02-08

7.  Accuracy of Ultrasound Diagnosis of Benign and Malignant Thyroid Nodules: A Systematic Review and Meta-Analysis.

Authors:  Mei Shi; Dandan Nong; Minhui Xin; Lifei Lin
Journal:  Int J Clin Pract       Date:  2022-09-13       Impact factor: 3.149

8.  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

  8 in total

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