نمایش مختصر رکورد

dc.contributor.authorPhuttharak, Warinthornen_US
dc.contributor.authorBoonrod, Arunniten_US
dc.contributor.authorKlungboonkrong, Vivianen_US
dc.contributor.authorWitsawapaisan, Thanatchapornen_US
dc.date.accessioned1399-07-08T17:57:00Zfa_IR
dc.date.accessioned2020-09-29T17:57:00Z
dc.date.available1399-07-08T17:57:00Zfa_IR
dc.date.available2020-09-29T17:57:00Z
dc.date.issued2019-04-01en_US
dc.date.issued1398-01-12fa_IR
dc.date.submitted2019-01-07en_US
dc.date.submitted1397-10-17fa_IR
dc.identifier.citationPhuttharak, Warinthorn, Boonrod, Arunnit, Klungboonkrong, Vivian, Witsawapaisan, Thanatchaporn. (2019). Interrater Reliability of Various Thyroid Imaging Reporting and Data System (TIRADS) Classifications for Differentiating Benign from Malignant Thyroid Nodules. Asian Pacific Journal of Cancer Prevention, 20(4), 1283-1288. doi: 10.31557/APJCP.2019.20.4.1283en_US
dc.identifier.issn1513-7368
dc.identifier.issn2476-762X
dc.identifier.urihttps://dx.doi.org/10.31557/APJCP.2019.20.4.1283
dc.identifier.urihttp://journal.waocp.org/article_85889.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/32838
dc.description.abstractBackground: Thyroid ultrasound(US) is used as the first diagnostic tool to assess the management of disease but<br />is operator dependent. There have been few reports evaluating interrater variability in US assessment. Therefore, we<br />evaluated interrater reliability in US assessment of thyroid nodules and estimated its diagnostic accuracy for various<br />TIRADS systems. Methods: This retrospective study included 24 malignant nodules and 84 benign nodules from<br />January 2015 to October 2017. Two blinded observers independently reviewed stored US images by using TIRADS. All<br />analyses followed guidelines proposed by ACR-TR, Siriraj-TR and EU-TR systems. Interrater reliability was calculated<br />using Cohen's Kappa statistics. Diagnostic accuracy were also calculated. Results: Interobserver agreement showed<br />substantial agreement for composition (K=0.616); echogenicity and echogenic foci showed fair agreement (K=0.327<br />and 0.288, respectively); margin showed slight agreement (K=0.143). Interrater reliability for the final assessment;<br />moderate agreement for ACR-TIRADS system (K=0.500); fair agreement for EU-TIRADS system (K=0.209) and<br />slight agreement (K=0.114) for Siriraj-TIRADS system. The diagnostic performance from the two observers; ACRTIRADS<br />system; sensitivities were 75% and 79.2%, specificities were 58.3% and 56%, positive predictive value (PPV)<br />were 34% and 33.9% and negative predictive value (NPV) were 89.1% and 90.4%. For the Siriraj-TIRADS system,<br />sensitivities were 41.7% and 25%, specificities were 84.5% and 89.3%, positive predictive value (PPV) were 43.5%<br />and 40% and negative predictive value (NPV) were 83.5% and 80.6%. For the EU-TIRADS system, sensitivities were<br />45.8% and 66.7%, specificities were 79.8% and 72.6%, positive predictive value (PPV) were 39.3% and 41% and<br />negative predictive value (NPV) were 83.8% and 88.4%. Conclusion: The ACR-TIRADS had highest interobserver<br />agreement, a trend to have highest sensitivity and negative predictive value for diagnosis of malignant thyroid nodules.<br />Siriraj-TIRADS had higher specificity and accuracy, buten_US
dc.format.extent779
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherWest Asia Organization for Cancer Prevention (WAOCP)en_US
dc.relation.ispartofAsian Pacific Journal of Cancer Preventionen_US
dc.relation.isversionofhttps://dx.doi.org/10.31557/APJCP.2019.20.4.1283
dc.titleInterrater Reliability of Various Thyroid Imaging Reporting and Data System (TIRADS) Classifications for Differentiating Benign from Malignant Thyroid Nodulesen_US
dc.typeTexten_US
dc.typeResearch Articlesen_US
dc.contributor.departmentDepartment of Radiology, Faculty of Medicine, Khon Kaen University, Thailand.en_US
dc.contributor.departmentDepartment of Radiology, Faculty of Medicine, Khon Kaen University, Thailand.en_US
dc.contributor.departmentDepartment of Radiology, Faculty of Medicine, Khon Kaen University, Thailand.en_US
dc.contributor.departmentDepartment of Radiology, Faculty of Medicine, Khon Kaen University, Thailand.en_US
dc.citation.volume20
dc.citation.issue4
dc.citation.spage1283
dc.citation.epage1288
nlai.contributor.orcid0000-0003-3648-5954


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