Siriraj Thyroid Imaging Reporting and Data System and Its Efficacy

Autor: Dittapong Songsaeng, M.D., Sunsiree Soodchuen, M.D., Pornpim Korpraphong, M.D., Anek Suwanbundit., Ph.D.
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Siriraj Medical Journal, Vol 69, Iss 5, Pp 262-267 (2017)
Druh dokumentu: article
ISSN: 2228-8082
DOI: 10.14456/smj.2017.52
Popis: Objective: To standardize a modified practical thyroid imaging reporting and data system (Siriraj-TIRADS). Methods: 196 thyroid nodules underwent ultrasound and FNAB and were retrospectively pathologically proven. Data design was divided into 2 groups of benign and malignant. Sensitivity and specificity of cancer prediction were calculated for the comparison of Siriraj-TIRAD and TIRAD. Interobserver agreement was calculated by kappa statistics. Results: Sensitivity and specificity of Siriraj’s TIRADS on cancer prediction were 95% and 64.8%, respectively, and sensitivity and specificity of TIRADS were 45% and 92%, respectively. Conclusion: The Siriraj- TIRADS classification is easy, practical and has better sensitivity than TIRADS for the diagnosis of thyroid carcinoma. TIRADS is good for the screening management strategy but Siriraj-TIRADS has benefit to cancer management strategy.
Databáze: Directory of Open Access Journals