Abstract: Background and purpose: In recent years, the government of our country attaches importance to the breast cancer screening. This study aimed to provide scientific basis for improving breast cancer screening policy, the results of breast specialized model and non-breast specialized model screening program in Shunyi District in Beijing were analyzed. Methods: The general screening item contains breast clinical examination and breast ultrasonography. The person who had family history or was defined high-risk population in general screening would be sent to diagnostic unit for mammography and further therapy if needed. There were two different breast cancer screening organization models in Shunyi district, named breast specialized model and non-breast specialized model, respectively. The associations between organization models and detection rate of breast cancer/incidence rate of breast interval cancer were evaluated by unconditional logistic regression analysis. Results: Overall, 58 151, 57 810 and 69 849 participants were invited in 3 round breast cancer screening, respectively. A total of 25, 10 and 30 breast cancer cases were detected, and the crude detection rates were 42.99 per 100 000, 17.30 per 100 000, and 42.95 per 100 000, respectively. In the second and third round of screening, compared with non-breast specialized model, breast specialized model can increase the detection rate of breast cancer (P>0.05), and decrease the incidence rate of interval cancer (65.94 per 100 000 vs 31.20 per 100 000, 66.17 per 100 000 vs 0, P>0.05). Conclusion: There did exists huge difference in breast cancer detection and interval cancer incidence rates between breast specialized model and non-breast specialized model. The results haven’t reach statistical significance because of low statistical power, thus, further study with enough sample size in breast specialized model is necessary. Breast cancer screening program based on breast specialized department may be more effective and valuable.

Key words: Breast cancer, Breast ultrasonography, Breast mammography, Screening, Interval cancer