Diagnostic Performance of American College of Radiology TI-RADS: A Systematic Review and Meta-Analysis
- PMID: 32603229
- DOI: 10.2214/AJR.19.22691
Diagnostic Performance of American College of Radiology TI-RADS: A Systematic Review and Meta-Analysis
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.
Keywords: meta-analysis; risk assessment; sonography; thyroid nodule; ultrasound.
Similar articles
-
COMPARISON OF DIAGNOSTIC PERFORMANCE BETWEEN THE AMERICAN COLLEGE OF RADIOLOGY THYROID IMAGING REPORTING AND DATA SYSTEM AND AMERICAN THYROID ASSOCIATION GUIDELINES: A SYSTEMATIC REVIEW.Endocr Pract. 2020 May;26(5):552-563. doi: 10.4158/EP-2019-0237. Endocr Pract. 2020. PMID: 32396776
-
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.Oncologist. 2020 May;25(5):398-403. doi: 10.1634/theoncologist.2019-0362. Epub 2019 Nov 19. Oncologist. 2020. PMID: 31740569 Free PMC article.
-
Comparison of Performance Characteristics of American College of Radiology TI-RADS, Korean Society of Thyroid Radiology TIRADS, and American Thyroid Association Guidelines.AJR Am J Roentgenol. 2018 May;210(5):1148-1154. doi: 10.2214/AJR.17.18822. Epub 2018 Apr 9. AJR Am J Roentgenol. 2018. PMID: 29629797
-
Fine needle aspiration biopsy indications for thyroid nodules: compare a point-based risk stratification system with a pattern-based risk stratification system.Eur Radiol. 2019 Sep;29(9):4871-4878. doi: 10.1007/s00330-018-5992-z. Epub 2019 Feb 4. Eur Radiol. 2019. PMID: 30715590
-
Diagnostic performance of adult-based ATA and ACR-TIRADS ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis.Eur Radiol. 2021 Oct;31(10):7450-7463. doi: 10.1007/s00330-021-07908-8. Epub 2021 Apr 17. Eur Radiol. 2021. PMID: 33864505
Cited by
-
The predictive models based on multimodality ultrasonography for the differential diagnosis of thyroid nodules smaller than 10 mm.Br J Radiol. 2023 Sep;96(1149):20221120. doi: 10.1259/bjr.20221120. Epub 2023 Jul 5. Br J Radiol. 2023. PMID: 37427752 Free PMC article.
-
Development and validation of a nomogram based on conventional and contrast-enhanced ultrasound for differentiating malignant from benign thyroid nodules.Quant Imaging Med Surg. 2025 May 1;15(5):4641-4654. doi: 10.21037/qims-24-1796. Epub 2025 Apr 28. Quant Imaging Med Surg. 2025. PMID: 40384666 Free PMC article.
-
US-Elastography With Different Techniques for Thyroid Nodule Characterization: Systematic Review and Meta-analysis.Front Oncol. 2022 Mar 16;12:845549. doi: 10.3389/fonc.2022.845549. eCollection 2022. Front Oncol. 2022. PMID: 35371974 Free PMC article.
-
Diagnostic Performance of Ultrasound vs Ultrasound-Guided FNAC in Thyroid Nodules: Data From the ElaTION Trial.J Clin Endocrinol Metab. 2025 Jun 17;110(7):1997-2006. doi: 10.1210/clinem/dgae682. J Clin Endocrinol Metab. 2025. PMID: 39359050 Free PMC article. Clinical Trial.
-
Systematic review and meta-analysis of multiparametric MRI clear cell likelihood scores for classification of small renal masses.Front Oncol. 2022 Oct 26;12:1004502. doi: 10.3389/fonc.2022.1004502. eCollection 2022. Front Oncol. 2022. PMID: 36387185 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials