Research Article

Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)

Volume: 12 Number: 3 September 30, 2019
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Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)

Abstract

Conclusion: EU-TIRADS is an easy tool to apply and it is reliable in prediction of malignancy risk of thyroid nodules.

Results: FNAB was performed in 196 nodules. Twenty-seven (14%)  nodules were histopathologically diagnosed as malignant. The risk of malignancy of TIRADS 2, 3, 4, and 5 was 0%, 2.2%, 5.1%, 59,5%, respectively. Considering TIRADS 2, 3, and 4 as probable benign and TIRADS 5 as probable malignant, the sensitivity, specificity, positive predictive value, and negative predictive value were found to be as 0.82, 0.91, 0.60, and 0.97, respectively. The overall accuracy of ultrasound was determined as 0.90.

Materials and methods: In all, 156 patients who underwent ultrasound-guided FNAB of thyroid between May 2013 and May 2016 were included in this retrospective study. Ultrasound images were reviewed, and ultrasound-guided FNAB results were obtained. With the use of EU-TIRADS classification, each nodule was categorized as TIRADS from 1 to 5 according to its ultrasound features.

Purpose: It is essential to predict the malignancy risk in thyroid nodules. For this purpose, thyroid imaging reporting and data system (TIRADS) classification system can be used to evaluate malignancy risk and plan the treatment strategy. The aim of this study is to evaluate the clinical feasibility and reliability of European-TIRADS (EU-TIRADS) classification.

Keywords

References

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Details

Primary Language

English

Subjects

Radiology and Organ Imaging

Journal Section

Research Article

Publication Date

September 30, 2019

Submission Date

May 29, 2019

Acceptance Date

July 5, 2019

Published in Issue

Year 2019 Volume: 12 Number: 3

APA
Sağtaş, E., & Demirci, E. (2019). Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pamukkale Medical Journal, 12(3), 445-455. https://doi.org/10.31362/patd.571516
AMA
1.Sağtaş E, Demirci E. Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pam Med J. 2019;12(3):445-455. doi:10.31362/patd.571516
Chicago
Sağtaş, Ergin, and Erkan Demirci. 2019. “Differentiation of Benign Thyroid Nodules from Malignant Ones Using European Thyroid Imaging Reporting and Data System (EU-TIRADS)”. Pamukkale Medical Journal 12 (3): 445-55. https://doi.org/10.31362/patd.571516.
EndNote
Sağtaş E, Demirci E (September 1, 2019) Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pamukkale Medical Journal 12 3 445–455.
IEEE
[1]E. Sağtaş and E. Demirci, “Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS)”, Pam Med J, vol. 12, no. 3, pp. 445–455, Sept. 2019, doi: 10.31362/patd.571516.
ISNAD
Sağtaş, Ergin - Demirci, Erkan. “Differentiation of Benign Thyroid Nodules from Malignant Ones Using European Thyroid Imaging Reporting and Data System (EU-TIRADS)”. Pamukkale Medical Journal 12/3 (September 1, 2019): 445-455. https://doi.org/10.31362/patd.571516.
JAMA
1.Sağtaş E, Demirci E. Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pam Med J. 2019;12:445–455.
MLA
Sağtaş, Ergin, and Erkan Demirci. “Differentiation of Benign Thyroid Nodules from Malignant Ones Using European Thyroid Imaging Reporting and Data System (EU-TIRADS)”. Pamukkale Medical Journal, vol. 12, no. 3, Sept. 2019, pp. 445-5, doi:10.31362/patd.571516.
Vancouver
1.Ergin Sağtaş, Erkan Demirci. Differentiation of benign thyroid nodules from malignant ones using European thyroid imaging reporting and data system (EU-TIRADS). Pam Med J. 2019 Sep. 1;12(3):445-5. doi:10.31362/patd.571516

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