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Updated: Aug 18, 2025
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Concordance between TIRADS and Cytology in Thyroid Nodule
Amin Abolhasani Foroughi1, Maral Mokhtari2, Emad Heidari1
1Medical Imaging Research Center, Department of Radiology, Shiraz University of Medical Science, Shiraz, Iran.
Introduction:
Palpable thyroid nodules are stated in 4 to 7% of individuals. This study was designed to evaluate the relation of Thyroid Imaging Reporting and Data System (TIRADS) and fine-needle aspiration (FNA) based cytology reports in patients with thyroid nodules.
Materials And Methods:
In this retrospective cross-sectional study, individuals with thyroid nodules who were selected for ultrasonographic-guided FNA enrolled in this study. Demographic data, radiologic assessment, and cytology report were gathered based on hospital medical records. TIRADS grading of the nodules was assessed for each nodule. Cytology was performed on all samples. Sensitivity and specificity were calculated by comparing cytology with ACR-TIRADS and also cytology with TIRADS 4-5 cut-off point as a radiologic malignant lesion.
Results:
172 patients were studied, 151 of whom were female and 21 were male. The mean age of the patients was 49.46 years. Most of the patients had TIRADS 4 (53.5%) followed by 3 (31.4%), and 5 (11.6%). 151 patients (87.8%) had a benign lesion in cytology. Of them, 118 had colloid nodules. There was a statistically significant relation between TIRADS and cytology (p-value<0.001). Sensitivity, specificity, AUC, and positive and negative predictive value for ACR-TIRADS classification were 76.19%, 47.54%, 0.619, 20.00%, and 92.06%, respectively. These values for cut-off "4-5" classification was 86.36%, 38.00%, 0.622, 16.96%, and 95.00%.
Conclusions:
According to the significant concordance between TIRADS and cytology, as shown in the results of our study, it seems that TIRADS could be used to decrease the amount of unnecessary FNA in individuals with thyroid nodules.
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