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September 16, 2025JAIMC Journal of Allama Iqbal Medical CollegeOpen Access

Diagnostic Accuracy of Tirads (Thyroid Imaging Reporting and Data System) in Identifying Thyroid Nodules on Ultrasound, Using Bethesda Cytological Categories From Fine Needle Aspiration Cytology as the Gold Standard

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Authors

RIRafia IrumHBHira BushraRKRiffat Kamal

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Overview

This observational analysis shows high diagnostic accuracy for TIRADS in detecting thyroid nodules, implying its reliability against FNAC Bethesda criteria.

Key Points

  • TIRADS displayed high sensitivity and diagnostic accuracy, particularly for larger thyroid nodules and females, indicating its reliability.
  • The study involved 130 patients, with a mean age of 38.6 years, emphasizing a diverse population for assessment.
  • Fine needle aspiration cytology showed diagnostic accuracy between 86.6% and 98.4%, indicating strong potential for clinical use.
  • TIRADS and FNAC Bethesda demonstrated complementary outcomes, suggesting a robust method for evaluating thyroid conditions.

Cite This Study

Irum et al. (2025) studied this question.

synapsesocial.com/papers/68d42321713b0b5dfea6ad25https://doi.org/10.59058/7j6z6y78
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1CORRELATION BETWEEN THE THYROID IMAGE AND REPORTING DATA SYSTEM (TIRADS) AND THE BETHESDA SYSTEM FOR REPORTING THYROID CYTOPATHOLOGY IN PATIENTS WITH THYROID NODULES2025
  2. 2Diagnostic Performance of Ultrasound Thyroid Imaging Reporting & Data System and Thyroid Scintigraphy for Detection of Malignancy in Patients with Solitary Thyroid Nodule2025
  3. 3Correlation Between Ultrasonographical and Cytopathological Features of Thyroid Nodules2023
  4. 4A Comparative Analysis of TIRADS and ATA Classification Systems in Determining the Malignancy of Thyroid Nodules2026
  5. 5Role of American College of Radiology Thyroid Imaging Reporting and Data System 2017 in Predicting Thyroid Nodule Malignancy: Cytological and Histological Insights in the Local Population of Pondicherry2025