Please use this identifier to cite or link to this item:
10.1530/EJE-20-0204
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DC Field | Value | Language |
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dc.contributor.author | Castellana, Marco | - |
dc.contributor.author | Grani, Giorgio | - |
dc.contributor.author | Radzina, Maija | - |
dc.contributor.author | Guerra, Vito | - |
dc.contributor.author | Giovanella, Luca | - |
dc.contributor.author | Deandrea, Maurilio | - |
dc.contributor.author | Ngu, Rose | - |
dc.contributor.author | Durante, Cosimo | - |
dc.contributor.author | Trimboli, Pierpaolo | - |
dc.date.accessioned | 2022-08-16T21:00:55Z | - |
dc.date.available | 2022-08-16T21:00:55Z | - |
dc.date.issued | 2020-09 | - |
dc.identifier.citation | Castellana , M , Grani , G , Radzina , M , Guerra , V , Giovanella , L , Deandrea , M , Ngu , R , Durante , C & Trimboli , P 2020 , ' Performance of EU-TIRADS in malignancy risk stratification of thyroid nodules : A meta-analysis ' , European Journal of Endocrinology , vol. 183 , no. 3 , pp. 255-264 . https://doi.org/10.1530/EJE-20-0204 | - |
dc.identifier.issn | 0804-4643 | - |
dc.identifier.uri | https://dspace.rsu.lv/jspui/handle/123456789/9359 | - |
dc.description | Publisher Copyright: © 2020 European Society of Endocrinology. Copyright: Copyright 2020 Elsevier B.V., All rights reserved. | - |
dc.description.abstract | Objective: Several thyroid imaging reporting and data systems (TIRADS) ha ve been proposed to stratify the malignancy risk of thyroid nodule by ultrasound. The TIRADS by the Europea n Thyroid Association, namely EU-TIRADS, was the last one to be published. Design: We conducted a meta-analysis to assess the prevalence of malig nancy in each EU-TIRADS class and the performance of EU-TIRADS class 5 vs 2, 3 and 4 in detecting mal ignant lesions. Methods: Four databases were searched until December 2019. Original art icles reporting the performance of EU-TIRADS and adopting histology as reference standard were inc luded. The number of malignant nodules in each class and the number of nodules classified as true/false positiv e/negative were extracted. A random-effects model was used for pooling data. Results: Seven studies were included, evaluating 5672 thyroid nodules. The prevalence of malignancy in each EU-TIRADS class was 0.5% (95% CI: 0.0-1.3), 5.9% (95% CI: 2.6-9 .2), 21.4% (95% CI: 11.1-31.7), and 76.1% (95% CI: 63.7-88.5). Sensitivity, specificity, PPV, NPV, LR+, LR- A nd DOR of EU-TIRADS class 5 were 83.5% (95% CI: 74.5-89.8), 84.3% (95% CI: 66.2-93.7), 76.1% (95% CI: 63.7-88.5), 85.4% (95 % CI: 79.1-91.8), 4.9 (95% CI: 2.9-8.2), 0.2 (95% CI: 0.1-0.3), and 24.5 (95% CI: 11.7-51.0), respectively. A further improved performance was found after excluding two studies because of limited sample size and low prevalence of ma lignancy in class 5. Conclusions: A limited number of studies generally conducted using a retros pective design was found. Acknowledging this limitation, the performance of EU-TIRADS in stratifying th e risk of thyroid nodules was high. Also, EU-TIRADS class 5 showed moderate evidence of detecting malignant lesions. | en |
dc.format.extent | 10 | - |
dc.format.extent | 1058206 | - |
dc.language.iso | eng | - |
dc.relation.ispartof | European Journal of Endocrinology | - |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.subject | 3.2 Clinical medicine | - |
dc.subject | 1.1. Scientific article indexed in Web of Science and/or Scopus database | - |
dc.subject | Endocrinology, Diabetes and Metabolism | - |
dc.subject | Endocrinology | - |
dc.subject | SDG 3 - Good Health and Well-being | - |
dc.title | Performance of EU-TIRADS in malignancy risk stratification of thyroid nodules : A meta-analysis | en |
dc.type | /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article | - |
dc.identifier.doi | 10.1530/EJE-20-0204 | - |
dc.contributor.institution | Department of Radiology | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85088846666&partnerID=8YFLogxK | - |
dc.description.status | Peer reviewed | - |
Appears in Collections: | Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure |
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File | Size | Format | |
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Performance_of_EU_TIRADS.pdf | 1.03 MB | Adobe PDF | View/Open |
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