JHSM
Journal of Health Sciences and Medicine

Journal of Health Sciences and Medicine (JHSM) is an unbiased, peer-reviewed, and open access international medical journal. The Journal publishes interesting clinical and experimental research conducted in all fields of medicine, interesting case reports, and clinical images, invited reviews, editorials, letters, comments, and related knowledge.

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Original Article
Efficacy analysis between ultrasound and cytology criteria in the differentiation of malignant and benign thyroid nodules: TIRADS versus BETHESDA
Abstract
Aims: Thyroid nodules (TNs) are abnormal masses of different structures and sizes to be detected promptly. The present study aimed to investigate the relationship between Bethesda and TIRADS and their diagnostic efficiency in histopathologically diagnosed malign TNs. Material and
Methods: 475 patients with TNs enrolled in this cross-sectional research. Laboratory parameters and clinical thyroid history were obtained from the automation system and analyzed retrospectively. They have been staged according to TIRADS, and the neck is evaluated in suspicious lymph nodes. FNAB results are then tracked for Bethesda staging.
Results: TIRADS showed a good sensitivity at the rate of 74.5% and average specificity at 68.1% for TNs. Bethesda had a higher sensitivity at 80.1% and 95.2% specificity rates. The positive predictive (98.1 vs. 88.2) and negative predictive (13 vs. 23.6) values were higher for Bethesda than TIRADS. The diagnostic accuracy for Bethesda was 79%. According to the ROC, Bethesda had a more expansive area under curve (0.81) than TIRADS (0.63). FNAC was a better diagnostic method than ultrasonography in evaluating thyroid nodules (p<0.001).
Conclusion: The risk of malignancy increased parallel to the increased Bethesda and TIRADS. While both scores helped predict malignancy, Bethesda is essential to physicians in assisting the discrimination of malign and benign TNs.

Keywords : Thyroid nodule, malignancy, TIRADS, Bethesda, ultrasound

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1. de Siqueira RA, Rodrigues A, Miamae LM, Tomimori EK, SilveiraEA. Thyroid nodules in severely obese patients: frequency and riskof malignancy on ultrasonography. Endocr Res 2020; 45: 9-16.
2. Daniels KE, Xu J, Liu JB, et al. Diagnostic value of TI-RADSclassification system and next generation genetic sequencing inindeterminate thyroid nodules. Acad Radiol 2021; 28: 1685-91.
3. Gungor K, Dokuzeylul Gungor N. Antithyroid antibodies maypredict serum beta HCG levels and biochemical pregnancy lossesin euthyroid women with IVF single embryo transfer. GynecolEndocrinol 2021; 37: 702-5.
4. Zhu Y, Sang Q, Jia S, Wang Y, Deyer T. Deep neural networkscould differentiate Bethesda class III versus class IV/V/VI. AnnTransl Med 2019; 7: 231.
5. Bian J, Wang R, Lin M. Ultrasonic S-Detect mode for the evaluationof thyroid nodules: A meta-analysis. Medicine (Baltimore) 2022;101: e29991.
6. Staibano P, Forner D, Noel CW, et al. Ultrasonography and fine-needle aspiration in indeterminate thyroid nodules: a systematicreview of diagnostic test accuracy. Laryngoscope 2022; 132: 242-51.
7. Ferrarazzo G, Camponovo C, Deandrea M, Piccardo A,Scappaticcio L, Trimboli P. Suboptimal accuracy of ultrasoundand ultrasound-based risk stratification systems in detectingmedullary thyroid carcinoma should not be overlooked. Findingsfrom a systematic review with meta-analysis. Clin Endocrinol(Oxf) 2022; 97: 532-40.
8. Nie W, Zhu L, Yan P, Sun J. Thyroid nodule ultrasound accuracyin predicting thyroid malignancy based on TIRADS system. AdvClin Exp Med 2022; 31: 597-606.
9. Xie M, Gupta MK, Archibald SD, Jackson BS, Massey Ted YoungJE, Zhang H. The usefulness of the thyroid imaging reporting anddata system in determining thyroid malignancy. Laryngoscope2020; 130: 2087-91.
10. Hu Y, Xu S, Zhan W. Diagnostic performance of C-TIRADS inmalignancy risk stratification of thyroid nodules: A systematicreview and meta-analysis. Front Endocrinol (Lausanne) 2022; 13:938961.
11. Zloczower E, Atas O, London D, Elharar L, Jacobe-Levy M, MaromT. Agreement between Ti-RADS classification and bethesdacytopathological findings from thyroid nodules in young adults.Mil Med 2020; 185: 2020-5.
12. Bayona A, Benavent P, Muriel A, et al. Outcomes of repeatfineneedle aspiration biopsy for AUS/FLUS thyroid nodules. Eur JEndocrinol 2021; 185: 497-506.
13. Vuong HG, Chung DGB, Ngo LM, et al. The use of the bethesdasystem for reporting thyroid cytopathology in pediatric thyroidnodules: a meta-analysis. Thyroid 2021; 31: 1203-11.
14. Mendes GF, Garcia MR, Falsarella PM, et al. Fine needleaspiration biopsy of thyroid nodule smaller than 1.0 cm: accuracyof TIRADS classification system in more than 1000 nodules. Br JRadiol 2018; 91: 20170642.
15. Abdelkader AM, Zidan AM, Younis MT, Dawa SK. Preoperativeevaluation of thyroid nodules: a prospective study comparing theaccuracy of ultrasound (TI-RADS) versus the FNAC bethesdasystem in relation to the final postoperative histo-pathologicaldiagnosis. Ann Pathol Lab Med 2018; 5: A801-9.
16. Singaporewalla RM, Hwee J, Lang TU, Desai V. Clinico-pathological correlation of thyroid nodule ultrasound andcytology using the TIRADS and Bethesda classifications. WorldJ Surg 2017; 41: 1807-11.
17. George NA, Suresh S, Jiji V, et al. Correlation of TIRADS andbethesda scoring systems with final histopathology of thyroidnodules - an institutional experience. Indian J Otolaryngol andHead Neck Surg 2021.
18. Kaliszewski K, Diakowska D, Wojtczak B, et al. Fine-needleaspiration biopsy as a preoperative procedure in patients withmalignancy in solitary and multiple thyroid nodules. PLoS One2016; 11: e0146883-e.
19. Horvath E, Silva CF, Majlis S, et al. Prospective validation of theultrasound based TIRADS (Thyroid Imaging Reporting AndData System) classification: results in surgically resected thyroidnodules. European Radiology 2016; 27: 2619-28.
20. Periakaruppan G, Seshadri KG, Vignesh Krishna GM, MandavaR, Sai VPM, Rajendiran S. Correlation between Ultrasound-based TIRADS and Bethesda System for Reporting Thyroid-cytopathology: 2-year Experience at a Tertiary Care Center inIndia. Indian J Endocrinol Metab 2018; 22: 651-5.
21. Yilmaz S, B&ouml;l&uuml;kbaşi H. Tiroid kanseri tanısında ACR-TIRADSskorlama sistemi ile Bethesda Sınıflama sisteminin birliktekullanımının &ouml;nemi. Ankara &Uuml;niversitesi Tıp Fak&uuml;ltesi Mecmuası2021; 74: 134-8.
Article available in :
Volume 6, Issue 2, 2023
Page : 405-409
https://doi.org/10.32322/jhsm.1229238
Article Information
Received : 04 Oca 2023
Accepted : 13 Şub 2023
Published : 27 Mar 2023
Corresponding Author :

Muzaffer Serdar Deniz: Department of Endocrinology, Karabük University Training and Research Hospital, Faculty of Medicine, Karabük University, Karabük, Turkey

[email protected]
Citation : Deniz MS, Sarı K, Öztürk O. Efficacy analysis between ultrasound and cytology criteria in the differentiation of malignant and benign thyroid nodules: TIRADS versus BETHESDA. J Health Sci Med 2023; 6(2): 405-409.

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