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Updated: Apr 23, 2026
Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
Published on: February 9, 2024
Meta-analysis of thyroid imaging reporting and data system in the ultrasonographic diagnosis of 10,437 thyroid
Xi Wei1, Ying Li2, Sheng Zhang1
1Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Background:
The meta-analysis was performed to review the diagnostic accuracy of ultrasound reporting and data system in the diagnosis of thyroid nodules.
Methods:
We identified the diagnostic accuracy of ultrasound reporting and data system in 5 databases. Meta-analyses were used in selected studies to obtain pooled sensitivity, specificity, and summary receiver operating characteristic (ROC) curves. Fixed or random-effects models were performed to analyze our data.
Results:
Twelve eligible studies were identified, including 10,437 thyroid nodules. A pooled sensitivity of 0.79 (95% confidence interval [CI] = 0.77-0.81) and a pooled specificity of 0.71 (95% CI = 0.70-0.72) of ultrasound reporting system in differentiated diagnosis of thyroid nodules were shown in meta-analyses. Subgroup analyses showed that the most important factor of heterogeneity in studies was the final diagnostic references (histological and cytological standards or only histological results).
Conclusion:
The thyroid imaging reporting and data system has a good sensitivity and specificity in diagnosis of patients with thyroid nodules.
