Correlation of Thyroid Imaging Reporting and Data System (TIRADS) and histopathology. A single-center Observational Study
DOI:
https://doi.org/10.51985/Keywords:
Thyroid Nodule; Ultrasonography; Thyroid Neoplasms; Risk Assessment; Diagnostic ImagingAbstract
Objective: To correlate TIRADS with the final histopathology in patients undergoing thyroid surgery.
Study design & settings: prospective observational study at Department of ENT, Shaikh Zayed Hospital, Lahore. Methodology: We included 142 patients with thyroid nodules who underwent ACR TI-RADS-reported neck ultrasonography at our center followed by thyroid surgery. Histopathology was the reference standard. For diagnostic testing, TI-RADS 1- 3 were prespecified as test negative and TI-RADS 4-5 as test positive. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), diagnostic accuracy, and receiver operating characteristic (ROC) analysis were calculated.
Results: The largest age group was 30-39 years (42/142; 29.6%). There were 120 females and 22 males (female:male ratio approximately 5.5:1). TI-RADS distribution was TR1 3, TR2 23, TR3 62, TR4 48, and TR5 6. Histopathology showed 88 benign (62.0%) and 54 malignant (38.0%) nodules. Using TI-RADS 1-3 as test negative and TI-RADS 4-5 as test positive, sensitivity was 64.8%, specificity 78.4%, PPV 64.8%, NPV 78.4%, and diagnostic accuracy 73.2%. ROC analysis showed AUC 0.726 (95% CI 0.637-0.816; p<0.01), indicating approximately 72.6% discriminatory ability.
Conclusion: ACR TI-RADS showed a significant association with histopathology in this surgically selected tertiary-care cohort. Diagnostic performance was moderate, and the observed malignancy frequencies were not strictly monotonic across all categories. These findings should not be generalized to unselected thyroid-nodule populations without qualification
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References
1. Mu C, Ming X, Tian Y, Liu Y, Yao M, Ni Y, et al. Mapping
global epidemiology of thyroid nodules among general
population: a systematic review and meta-analysis. Front
Oncol. 2022;12:1029926. doi: 10.3389/fonc.2022.1029926.
2. Thattarakkal VR, Ahmed TSF, Saravanam PK, Murali S.
Evaluation of thyroid nodule: Thyroid Imaging Reporting
and Data System (TIRADS) and clinicopathological
correlation. Indian J Otolaryngol Head Neck Surg.
2022;74(Suppl 3):5850-5855. doi: 10.1007/s12070-021-02461-
8.
3. Grani G, Sponziello M, Filetti S, Durante C. Thyroid nodules:
diagnosis and management. Nat Rev Endocrinol.
2024;20(12):715-728. doi: 10.1038/s41574-024-01025-4.
4. Angelopoulos N, Goulis DG, Chrisogonidis I, Livadas S,
Paparodis R, Androulakis I, et al. Diagnostic performance of
European and American College of Radiology Thyroid Imaging
Reporting and Data System classification systems in thyroid
nodules over 20 mm in diameter. Endocr Pract. 2025;31(1):72-
79. doi: 10.1016/j.eprac.2024.10.004.
5. Koelliker EL, Krumeich LN, Kravchenko T, Keamy Blanco
MM, Letica-Kriegel AS, Hsu I, et al. Sonographic and
pathologic features of malignant hot thyroid nodules: a multiinstitutional study. Surgery. 2026;189:109710. doi:
10.1016/j.surg.2025.109710.
6. Anwar K, Mohammad AY, Khan S. The sensitivity of TIRADS
scoring on ultrasonography in the management of thyroid
nodules. Pak J Med Sci. 2023;39(3):870-874. doi:
10.12669/pjms.39.3.7313.
7. Yang L, Li C, Chen Z, He S, Wang Z, Liu J. Diagnostic
efficiency among EU-, C-, and ACR-TIRADS and S-Detect
for thyroid nodules: a systematic review and network metaanalysis. Front Endocrinol (Lausanne). 2023;14:1227339.
doi: 10.3389/fendo.2023.1227339.
8. Singaporewalla RM, Hwee J, Lang TU, Desai V. Clinicopathological correlation of thyroid nodule ultrasound and
cytology using the TIRADS and Bethesda classifications.
World J Surg. 2017;41(7):1807-1811. doi: 10.1007/s00268-
017-3919-5.
9. Wilkinson T, Cawood T, Lim A, Roche D, Jiang J, Thomson
B, et al. Correlation of ACR TI-RADS and patient outcomes
in a real-world cohort presenting for thyroid ultrasonography.
J Endocr Soc. 2023;7(10):bvad119. doi: 10.1210/jendso
/bvad119.
10. Huang EYF, Kao NH, Lin SY, Jang IJH, Kiong KL, See A,
et al. Concordance of the ACR TI-RADS classification with
Bethesda scoring and histopathology risk stratification of
thyroid nodules. JAMA Netw Open. 2023;6(9):e2331612.
doi: 10.1001/jamanetworkopen.2023.31612.
11. Rajyakodi K, Balasubramanian A, Sundaram S, Gnanavel H.
Clinicopathological and radiological correlation among the
spectrum of nodular thyroid lesions. Cureus. 2024;16(10):
e70725. doi: 10.7759/cureus.70725.
12. Horvath E, Majlis S, Rossi R, Franco C, Niedmann JP, Castro
A, et al. An ultrasonogram reporting system for thyroid nodules
stratifying cancer risk for clinical management. J Clin
Endocrinol Metab. 2009;94(5):1748-1751. doi: 10.1210/jc.
2008-1724.
13. Zhang X, Esebua M, Layfield L. American College of
Radiology Thyroid Imaging Reporting System and
cytopathologic classification: integration for improved
assessment of malignancy risk. J Am Soc Cytopathol. 2026;
15(1):73-78. doi: 10.1016/j.jasc.2025.08.001.
14. Ahmed MOK, Ce A, Gareeballah A, Arafat M, Al Ali A, Odeh
KA, et al. Assessment of thyroid nodules using TIRADS
classification: interobserver agreement and correlation with
histopathology. Int J Biomed. 2022;12(3):385-390. doi:
10.21103/Article12(3)_OA6.
15. García-Moncó Fernández C, Serrano-Moreno C, DonnayCandil S, Carrero-Alvaro J. A correlation study between
histological results and thyroid ultrasound findings: the TIRADS classification. Endocrinol Diabetes Nutr (Engl Ed).
2018;65(4):206-212. doi: 10.1016/j.endien.2018.04.004.
16. Tessler FN, Middleton WD, Grant EG, Hoang JK, Berland
LL, Teefey SA, et al. ACR Thyroid Imaging, Reporting and
Data System (TI-RADS): white paper of the ACR TI-RADS
Committee. J Am Coll Radiol. 2017;14(5):587-595. doi:
10.1016/j.jacr.2017.01.046.
17. Middleton WD, Teefey SA, Reading CC, Langer JE, Beland
MD, Szabunio MM, et al. Multiinstitutional analysis of thyroid
nodule risk stratification using the American College of
Radiology Thyroid Imaging Reporting and Data System. AJR
Am J Roentgenol. 2017;208(6):1331-1341. doi: 10.2214/AJR.
16.17613.
18. Kwak JY, Han KH, Yoon JH, Moon HJ, Son EJ, Park SH, et
al. Thyroid imaging reporting and data system for US features
of nodules: a step in establishing better stratification of cancer
risk. Radiology. 2011;260(3):892-899. doi: 10.1148/radiol.
11110206.
19. Periakaruppan G, Seshadri KG, Vignesh Krishna GM, Mandava
R, Sai VPM, Rajendiran S. Correlation between ultrasoundbased TIRADS and Bethesda System for Reporting Thyroid
Cytopathology: 2-year experience at a tertiary care center in
India. Indian J Endocrinol Metab. 2018;22(5):651-655. doi:
10.4103/ijem.IJEM_27_18.
20. George NA, Suresh S, Jiji V, Renu S, Thomas S, Janardhan
D, et al. Correlation of TIRADS and Bethesda scoring systems
with final histopathology of thyroid nodules: an institutional
experience. Indian J Otolaryngol Head Neck Surg.
2022;74(Suppl 3):5753-5758. doi: 10.1007/s12070-021-02380-
8.
21. Horvath E, Silva CF, Majlis S, Rodriguez I, Skoknic V, Castro
A, et al. Prospective validation of the ultrasound-based
TIRADS classification: results in surgically resected thyroid
nodules. Eur Radiol. 2017;27(6):2619-2628. doi: 10.1007/
s00330-016-4605-y.
22. Chandramohan A, Khurana A, Pushpa BT, Manipadam MT,
Naik D, Thomas N, et al. Is TIRADS a practical and accurate
system for use in daily clinical practice? Indian J Radiol
Imaging. 2016;26(1):145-152. doi: 10.4103/0971-3026.178367.
23. Park JY, Lee HJ, Jang HW, Kim HK, Yi JH, Lee W, et al. A
proposal for a thyroid imaging reporting and data system for
ultrasound features of thyroid carcinoma. Thyroid.
2009;19(11):1257-1264. doi: 10.1089/thy.2008.0021.
24. Srinivas MN, Amogh VN, Gautam MS, Prathyusha IS, Vikram
NR, Retnam MK, et al. A prospective study to evaluate the
reliability of Thyroid Imaging Reporting and Data System in
differentiation between benign and malignant thyroid lesions.
J Clin Imaging Sci. 2016;6:5. doi: 10.4103/2156-7514.177551.
25. Moifo B, Takoeta EO, Tambe J, Blanc F, Fotsin JG. Reliability
of Thyroid Imaging Reporting and Data System classification
in differentiating benign from malignant thyroid nodules.
Open J Radiol. 2013;3(3):103-107. doi: 10.4236/ojrad. 2013.
33016.
26. Barbosa TLM, Junior COM, Graf H, Cavalvanti T, Trippia
MA, da Silveira Ugino RT, et al. ACR TI-RADS and ATA
ultrasound scores are helpful for the management of thyroid
nodules with indeterminate cytology. BMC Endocr Disord.
2019;19(1):112. doi: 10.1186/s12902-019-0429-5.
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