Objective: Management of thyroid nodules relies on the Thyroid Imaging Recording and Data System (TIRADS) for sonographic findings and the Bethesda System for Reporting Thyroid Cytopathology (TBSRTC). The proponents aimed to determine the concordance between sonographic TIRADS findings and cytological diagnosis by TBSRTC in the evaluation of malignancy of patients with thyroid nodules. Methodology: Sonographic and cytology results collected from 2018 to 2022 were obtained to determine whether there is an agreement between TIRADS and TBSRTC findings. Results: Two hundred sixty-two (262) samples were obtained. Overall accuracy of predicting TIRADS category was highest for echogenic foci. Thyroid nodule distribution was highest for TIRADS 3 and 4 sonographically and TBSRTC II cytologically. There is low agreement between TBSRTC and TIRADS in the categorization of nodules as benign, implying that nodules may show sonographic features suspicious of malignancy despite being categorized as TBSRTC I or II by cytology. However, nodules categorized as TBSRTC III to VI show sonographic features suspicious for malignancy at the very least. Conclusion The correctness of TIRADS prediction is highest for echogenic foci although not significantly higher than other parameters. The overall predicting power of TIRADS for the absence of malignancy is high for TIRADS 1 and 2, whereas TIRADS 5 predicts a 31.11% risk of malignancy making it a strong indication for FNAC. However, prediction of malignancy in TIRADS 3 and 4 nodules must be in association with other factors since a significant percentage may turn out to be TBSRTC II.
Thyroid Nodule

Objective: This study aims to evaluate the diagnostic accuracy of the American College of Radiology Thyroid Imaging Reporting Data System (ACR TI-RADS) in identifying nodules that need to undergo fine-needle aspiration biopsy (FNAB) and identify specific thyroid ultrasound characteristics of nodules associated with thyroid malignancy in Filipinos in a single tertiary center. Methodology: One hundred seventy-six thyroid nodules from 130 patients who underwent FNAB from January 2018 to December 2018 were included. The sonographic features were described and scored using the ACR TI-RADS risk classification system, and the score was correlated to their final cytopathology results. Results: The calculated malignancy rates for TI-RADS 2 to TI-RADS 5 were 0%, 3.13%, 7.14%, and 38.23%, respectively, which were within the TI-RADS risk stratification thresholds. The ACR TI-RADS had a sensitivity of 89.5% and specificity of 54%, LR + of 1.95 and LR - of 0.194, NPV of 97.7%, PPV of 19.1%, and accuracy of 58%. Conclusion The ACR TI-RADS may provide an effective malignancy risk stratification for thyroid nodules and may help guide the decision for FNAB among Filipino patients. The classification system may decrease the number of unnecessary FNABs for nodules with low-risk scores.
Thyroid Nodule

No abstract available.
Thyroid Gland* ; Thyroid Nodule*

No abstract available.
Thyroid Gland* ; Thyroid Nodule*

No abstract available.
Thyroid Gland ; Thyroid Nodule

No abstract available.
Thyroid Gland ; Thyroid Nodule

No abstract available.
Thyroid Gland* ; Thyroid Nodule*

No abstract available.
Thyroid Gland* ; Thyroid Nodule*

No abstract available.
Thyroid Gland* ; Thyroid Nodule*

No abstract available.
Thyroid Gland* ; Thyroid Nodule*