Original Article

Volume 37, Issue 3 Page (1 - 14)

https://doi.org/10.51441.BioMedica.5-504

Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab


Authors: Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal


Authors

Sumera Nighat

Assistant Professor, Department of Radiology, Bakhtawar Amin Medical & Dental College, Multan - Pakistan.

Mahwish Zahra

Senior Registrar, Department of Radiology, Children Hospital and Institute of Child Health, Multan- Pakistan.

Azhar Mahmood Javed

Associate Professor and Head, Department of Radiology, Children Hospital and Institute of Child Health, Multan-Pakistan.

Shabbir Ahmad

Assistant professor, Department of Surgery, Bakhtarwar Amin Medical and Dental College, Multan- Pakistan.

Sadia Anwar

Professor, Department of Pathology, Gujranwala Medical College, Gujranwala-Pakistan.

Usama Hussain Kamal

First Year Medical Student, Services Institute of Medical Sciences, Lahore - Pakistan.

Publication History

Received: September 28, 2021

Accepted:

Published: October 01, 2021


Abstract


Background and Objective: Thyroid imaging reporting and data system (TI-RADS) is developed to determine the risk of malignancy in patients with thyroid nodules. The aim of this study was to determine the diagnostic accuracy of TI-RADS classification for diagnosing malignant thyroid nodules taking FNAC as a gold standard in the local population.

Methods: In this cross-sectional validation study, 201 patients presenting with thyroid nodules at the Department of Radiology, Bakhtawar Amin Hospital Multan, Pakistan from July, 2020 to Dec, 2020 were included. In all patients, thyroid nodules were evaluated on grey scale (B-mode) modality. TI-RADS score was calculated for each patient. Patients with TI-RADS score 4 and 5 were labelled as having malignant nodules. After that Fine needle aspiration cytology samples were taken and sent for histopathologic evaluation of thyroid nodules. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of TI-RADS taking FNAC as a gold standard were determined.

Results: The mean age of the patients was 47.8±4.5 years; there were 129 (67.2%) women and 72 (35.82%) men. There were 42 patients who tested true positive and 36 patients tested false positive and 12 patients were false negative and 111 patients true negative. The TI-RADS sensitivity was 77.8%, specificity was 75.5%, PPV was 53.8%, and NPV 90.2%. the diagnostic accuracy was 76.1%.

Conclusion:Differentiating benign thyroid nodules from malignant using the TI-RADS score has a high diagnostic accuracy. Our study results support the TIRADS as a first-line imaging evaluation for diagnosis of thyroid malignancy.


Keywords: Thyroid nodules, Ultrasonography, Fine needle aspiration cytology, TI-RADS.



Pubmed Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal. Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab. biomedica. 2021; 01 (October 2021): 86-91. doi:10.51441.BioMedica.5-504

Web Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal. Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab. https://biomedicapk.com/10.51441/BioMedica/5-504 [Access: October 21, 2021]. doi:10.51441.BioMedica.5-504

AMA (American Medical Association) Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal. Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab. biomedica. 2021; 01 (October 2021): 86-91. doi:10.51441.BioMedica.5-504

Vancouver/ICMJE Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal. Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab. biomedica. (2021), [cited October 21, 2021]; 01 (October 2021): 86-91. doi:10.51441.BioMedica.5-504

Harvard Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal (2021) Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab. biomedica, 01 (October 2021): 86-91. doi:10.51441.BioMedica.5-504

Turabian Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal. 2021. Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab. Biomedica, 01 (October 2021): 86-91. doi:10.51441.BioMedica.5-504

Chicago Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal. "Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab." Biomedica 01 (2021), 86-91. doi:10.51441.BioMedica.5-504

MLA (The Modern Language Association) Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal. "Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab." Biomedica 01.October 2021 (2021), 86-91. Print. doi:10.51441.BioMedica.5-504

APA (American Psychological Association) Style

Sumera Nighat, Mahwish Zahra, Azhar Mahmood Javed, Shabbir Ahmad, Sadia Anwar, Usama Hussain Kamal (2021) Diagnostic Accuracy of TI-RADS Classification in Differentiating Benign & Malignant Thyroid Nodules - A Study from Southern Punjab. Biomedica, 01 (October 2021), 86-91. doi:10.51441.BioMedica.5-504