Evaluation of Diagnostic Accuracy of TIRADS by Ultrasonography in Thyroid Lesions with Cytological and Histopathological Correlation

Abstract Objective: To assess the correlation between ultrasound-based TIRADS and the Bethesda system on FNAC for evaluating thyroid nodules and to determine the diagnostic accuracy of TIRADS in malignancy risk stratification. Materials and Methods: A prospective cross-sectional study was conducted on patients presenting with thyroid nodules at a tertiary care hospital. Each nodule was evaluated using ultrasound according to TIRADS criteria, and FNAC was performed and categorized per the Bethesda system. The sensitivity, specificity, and predictive values of TIRADS were calculated against cytological diagnosis. Results: Among the nodules evaluated, a significant correlation was found between high TIRADS categories (4 and 5) and Bethesda IV–VI categories, with TIRADS 5 showing a high malignancy risk. The sensitivity and specificity of TIRADS in identifying malignant nodules were found to be 100% & 92.2% respectively. Conclusion: TIRADS is a valuable risk stratification tool that correlates well with cytological outcomes and can reduce unnecessary FNACs in patients with low-risk nodules.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-30
DOI
https://doi.org/10.5281/zenodo.18138723
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Diagnostic Accuracy of TIRADS by Ultrasonography in Thyroid Lesions with Cytological and Histopathological Correlation

International Journal of Medical Science and Innovative Research (IJMSIR)
Zenodo (CERN European Organization for Nuclear Research)
Thyroid Cancer Diagnosis and Treatment
article

Evaluation of Diagnostic Accuracy of TIRADS by Ultrasonography in Thyroid Lesions with Cytological and Histopathological Correlation

International Journal of Medical Science and Innovative Research (IJMSIR)
article en

Abstract

Abstract Objective: To assess the correlation between ultrasound-based TIRADS and the Bethesda system on FNAC for evaluating thyroid nodules and to determine the diagnostic accuracy of TIRADS in malignancy risk stratification. Materials and Methods: A prospective cross-sectional study was conducted on patients presenting with thyroid nodules at a tertiary care hospital. Each nodule was evaluated using ultrasound according to TIRADS criteria, and FNAC was performed and categorized per the Bethesda system. The sensitivity, specificity, and predictive values of TIRADS were calculated against cytological diagnosis. Results: Among the nodules evaluated, a significant correlation was found between high TIRADS categories (4 and 5) and Bethesda IV–VI categories, with TIRADS 5 showing a high malignancy risk. The sensitivity and specificity of TIRADS in identifying malignant nodules were found to be 100% & 92.2% respectively. Conclusion: TIRADS is a valuable risk stratification tool that correlates well with cytological outcomes and can reduce unnecessary FNACs in patients with low-risk nodules.

Zenodo (CERN European Organization for Nuclear Research)
Innovative Research (United States) (US)
Openalex Percentile: Top 28%
Thyroid Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.