Abstract
The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) stratifies patients with thyroid nodules for further evaluation. We evaluated the accuracy of this risk stratification and compared it with that of fine-needle aspiration cytology (FNAC) and final pathology. The nodules (n = 381) of 329 patients (mean age, 45.5 y; 251 female) who underwent thyroid surgery from January 2021 to September 2023 were retrospectively analyzed for the ACR TI-RADS, FNAC, and final pathology results. The nodules were categorized according to risk of malignancy as 75.9% ACR TI-RADS 5, 72.6% ACR TI-RADS 4, 38.9% ACR TI-RADS 3, and 33.3% ACR TI-RADS 2. Considering ACR TI-RADS 5 and 4 as high-risk categories, the sensitivity, specificity, positive-predictive value, and negative-predictive value of the ACR TI-RADS categories were 77.9%, 57.3%, 73.8%, and 62.8%, respectively. With both ACR TI-RADS and FNAC high-risk categories combined, the sensitivity and specificity improved to 82.4% and 58.6%, respectively. The ACR TI-RADS score effectively predicts malignancy in higher-risk categories; however, some malignant cases were found within lower-risk categories, implying the need for careful utilization of this system. Combining high-risk ACR TI-RADS and FNAC results improves the diagnostic accuracy of thyroid nodules. Confirmation from further prospective studies is required.
Keywords
Publication details
- DOI
- 10.3390/joma1010007
- Journal
- Journal of the Oman Medical Association, 1(1), 61-68
- Publisher
- MDPI
- Open access
- Gold open access
- License
- CC BY 4.0
Cite this article
APA 7
Alsibani, A., Alessa, M., Alwadi, F. A., Alotaibi, S. M., Alfaleh, H., Moshibah, A. M., Alqahtani, A. M., Alqahtani, A., Almayouf, M., Aldhahri, S., & Al-Qahtani, K. H. (2024). Evaluation of ACR TI-RADS for Predicting Malignancy in Thyroid Nodules: Insights from Fine-Needle Aspiration Cytology and Histopathology Results. Journal of the Oman Medical Association, 1(1), 61-68. https://doi.org/10.3390/joma1010007
MLA 9
Alsibani, Ahmed, et al. "Evaluation of ACR TI-RADS for Predicting Malignancy in Thyroid Nodules: Insights from Fine-Needle Aspiration Cytology and Histopathology Results." Journal of the Oman Medical Association, vol. 1, no. 1, 2024, pp. 61-68. https://doi.org/10.3390/joma1010007.
Chicago (author–date)
Alsibani, Ahmed, Mohammed Alessa, Fahad A Alwadi, Shams Marzouq Alotaibi, Hana Alfaleh, Ali M. Moshibah, Abdullah M. Alqahtani, Abdulwahed Alqahtani, Mohammad Almayouf, Saleh Aldhahri, and Khalid Hussain Al-Qahtani. 2024. "Evaluation of ACR TI-RADS for Predicting Malignancy in Thyroid Nodules: Insights from Fine-Needle Aspiration Cytology and Histopathology Results." Journal of the Oman Medical Association 1 (1): 61-68. https://doi.org/10.3390/joma1010007.
Harvard
Alsibani, A., Alessa, M., Alwadi, F. A., Alotaibi, S. M., Alfaleh, H., Moshibah, A. M., Alqahtani, A. M., Alqahtani, A., Almayouf, M., Aldhahri, S. and Al-Qahtani, K. H. (2024) 'Evaluation of ACR TI-RADS for Predicting Malignancy in Thyroid Nodules: Insights from Fine-Needle Aspiration Cytology and Histopathology Results', Journal of the Oman Medical Association, 1(1), pp. 61-68. doi:10.3390/joma1010007.
Vancouver
Alsibani A, Alessa M, Alwadi FA, Alotaibi SM, Alfaleh H, Moshibah AM, et al. Evaluation of ACR TI-RADS for Predicting Malignancy in Thyroid Nodules: Insights from Fine-Needle Aspiration Cytology and Histopathology Results. Journal of the Oman Medical Association. 2024;1(1):61-68. doi:10.3390/joma1010007
IEEE
A. Alsibani, M. Alessa, F. A. Alwadi, S. M. Alotaibi, H. Alfaleh, A. M. Moshibah, A. M. Alqahtani, A. Alqahtani, M. Almayouf, S. Aldhahri, and K. H. Al-Qahtani, "Evaluation of ACR TI-RADS for Predicting Malignancy in Thyroid Nodules: Insights from Fine-Needle Aspiration Cytology and Histopathology Results," Journal of the Oman Medical Association, vol. 1, no. 1, pp. 61-68, 2024, doi: 10.3390/joma1010007.