Abstract:
Objective To evaluate the concordance rate of ultrasound diagnosis for thyroid cancer in Hebei Province for the 2023-2024 period, analyze its influencing factors, and provide data support for the Hebei Provincial Quality Control Center for Ultrasound in Medicine to formulate subsequent work plans.
Methods Based on data from the Hebei Provincial Quality Control Center for Ultrasound in Medicine website for 2023-2024, a retrospective analysis was performed on the quality control indicator "thyroid cancer ultrasound diagnostic concordance rate". The study included 61 medical institutions in 2023 (24 secondary hospitals and 37 tertiary hospitals) and 35 institutions in 2024 (11 secondary hospitals and 24 tertiary hospitals), with reporting frequencies of 268 and 295 times, respectively. Analyses of the concordance rate were conducted according to the reporting year, hospital region, and hospital level, with differences across these categories compared. Independent samples t-tests were used to compare differences in the thyroid cancer ultrasound diagnostic concordance rate between 2023 and 2024, and between tertiary hospitals and secondary hospitals. One-way analysis of variance (ANOVA) was employed to compare differences in the concordance rate across regions of Hebei Province, and the Bonferroni correction/test was applied for post hoc multiple comparisons.
Results A total of 268 cases were reported in 2023 and 295 in 2024. Independent samples t-test revealed a statistically significant difference in the diagnostic accuracy rate between 2023 and 2024 (t=-2.178, P=0.030), with a higher mean value in 2024. One-way ANOVA showed significant regional variations (F=17.752, P<0.001), with Xiong'an New Area having the highest accuracy rate (98.6%±6.4%) and Xingtai City the lowest (54.2%±21.5%). Additionally, tertiary hospitals exhibited a higher mean accuracy rate (86.1%±18.1%) than secondary hospitals (82.4%±13.6%, t=-2.120, P=0.034).
Conclusion The overall diagnostic accuracy of thyroid cancer ultrasound in Hebei Province is satisfactory, but significant disparities exist across regions and hospital tiers. Recommendations include establishing a tiered quality control system, promoting standardized operational procedures, and conducting multicenter research on AI-assisted diagnosis.
Key words:
Thyroid cancer,
Ultrasound diagnosis,
Diagnostic accuracy rate,
Quality control
Ming Yang, Caina Xu, Ning Zhang, Xiaona Wang, Kun Jia, Wei Song, Li Li, Hongyuan Xue. Ultrasound diagnostic accuracy for thyroid cancer in Hebei Province (2023-2024)[J]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2025, 22(09): 846-849.