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Original Article
Online Published: 26 Jun 2026
 


Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.

Chausiku Samwel Kisunte, Clement Frank Kalambo, Patrick Amsi, Felister Uisso, Adnan Sadiq.


Abstract
Background: Thyroid nodules are common worldwide, particularly among women and in iodine-deficient regions. Although most nodules are benign, a significant proportion may be malignant. Ultrasound is the primary imaging tool for evaluation, and the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) has shown strong performance in risk stratification. This study assessed the diagnostic accuracy of ACR TI-RADS compared with cytological findings at Kilimanjaro Christian Medical Centre (KCMC).Methods: A cross-sectional study was conducted among 255 patients who underwent thyroid ultrasound and fine-needle aspiration cytology (FNAC) between January 2022 and April 2025. For diagnostic accuracy analysis, Bethesda II–III were grouped as benign, Bethesda IV–VI as malignant, and Bethesda I cases were excluded. ACR TI-RADS categories TR1–TR3 were considered low risk (test-negative), while TR4–TR5 were considered high risk (test-positive). Sensitivity, specificity, predictive values, and overall accuracy were calculated, and ROC curve analysis was performed.Results: The median age was 47 years, and 86.3% of patients were female. Most nodules were mixed cystic/solid (58.8%), hyperechoic (60.4%), wider-than-tall (89.0%), and had smooth margins (67.5%). Based on ACR TI-RADS, 82% of nodules were low risk and 18% high risk. FNAC classified 83.9% as benign, 11% malignant, and 6.3% suspicious. Malignancy rates rose with higher TI-RADS categories, reaching 88% in TR5. ACR TI-RADS demonstrated high diagnostic accuracy with 90.6% sensitivity, 92.6% specificity, and an AUC of 0.951.Conclusion: ACR TI-RADS is a highly sensitive and specific, non-invasive tool for thyroid nodule evaluation. While FNAC remains the reference standard, this single-center study suggests TI-RADS has the potential to reduce unnecessary FNACs, particularly in benign nodules. Limitations include reliance on FNAC, single-center design, and operator dependence, which may affect reproducibility.

Key words: Thyroid nodules, Ultrasound, ACR-TIRADS, Cytology, Diagnostic accuracy,Tanzania


 
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How to Cite this Article
Pubmed Style

Kisunte CS, Kalambo CF, Amsi P, Uisso F, Sadiq A. Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.. A J Diagn Imaging. 2026; 12(3): 98-112. doi:10.5455/ajdi.20260114121548


Web Style

Kisunte CS, Kalambo CF, Amsi P, Uisso F, Sadiq A. Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.. https://www.wisdomgale.com/ajdi/?mno=306800 [Access: June 29, 2026]. doi:10.5455/ajdi.20260114121548


AMA (American Medical Association) Style

Kisunte CS, Kalambo CF, Amsi P, Uisso F, Sadiq A. Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.. A J Diagn Imaging. 2026; 12(3): 98-112. doi:10.5455/ajdi.20260114121548



Vancouver/ICMJE Style

Kisunte CS, Kalambo CF, Amsi P, Uisso F, Sadiq A. Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.. A J Diagn Imaging. (2026), [cited June 29, 2026]; 12(3): 98-112. doi:10.5455/ajdi.20260114121548



Harvard Style

Kisunte, C. S., Kalambo, . C. F., Amsi, . P., Uisso, . F. & Sadiq, . A. (2026) Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.. A J Diagn Imaging, 12 (3), 98-112. doi:10.5455/ajdi.20260114121548



Turabian Style

Kisunte, Chausiku Samwel, Clement Frank Kalambo, Patrick Amsi, Felister Uisso, and Adnan Sadiq. 2026. Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.. American Journal of Diagnostic Imaging , 12 (3), 98-112. doi:10.5455/ajdi.20260114121548



Chicago Style

Kisunte, Chausiku Samwel, Clement Frank Kalambo, Patrick Amsi, Felister Uisso, and Adnan Sadiq. "Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.." American Journal of Diagnostic Imaging 12 (2026), 98-112. doi:10.5455/ajdi.20260114121548



MLA (The Modern Language Association) Style

Kisunte, Chausiku Samwel, Clement Frank Kalambo, Patrick Amsi, Felister Uisso, and Adnan Sadiq. "Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.." American Journal of Diagnostic Imaging 12.3 (2026), 98-112. Print. doi:10.5455/ajdi.20260114121548



APA (American Psychological Association) Style

Kisunte, C. S., Kalambo, . C. F., Amsi, . P., Uisso, . F. & Sadiq, . A. (2026) Diagnostic accuracy of Thyroid Imaging and Data System (TIRADS) ultrasound classification of thyroid nodules compared with cytological findings among patients in Tanzania.. American Journal of Diagnostic Imaging , 12 (3), 98-112. doi:10.5455/ajdi.20260114121548