Optimizing the screening process for TIRADS could reduce the number of unnecessary thyroid biopsies.

ABSTRACT:

Objective

Current Thyroid Imaging Reporting and Data Systems (TIRADS) exhibit considerable variability in size thresholds for fine-needle aspiration biopsy. This study harnesses the systematic variations among dissimilar TIRADS optimization strategies for biopsy selection.

Methods

The analysis focused on the discrepancies observed among the four widely utilized TIRADS systems: ACR-TIRADS, Kwak-TIRADS, C-TIRADS and EU-TIRADS. Subsequently, several methods derived from the combination of two TIRADS were constructed via serial testing. Last but not least, diagnostic performance was assessed through unnecessary biopsy rate (UBR), missed malignancy rate and the frequency of clinically significant missed diagnoses.

Results

A total of 699 nodules were included in the study.

SUBMITTER: Lu K 

PROVIDER: S-EPMC11964483 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature