Factors Influencing Progression on the Ultrasound BI-RADS Categories:An Analysis Based on a Breast Cancer Screening Cohort
Objective Ultrasound categories of Breast Imaging Reporting and Data System(BI-RADS)are an important outcome used in the evaluation of the characteristics of breast lesions.In this study,we aim to explore the potential influencing factors that may cause the progression of BI-RADS categories.Methods Based on the cervical cancer and breast cancer screening cohort in Shuangliu District,Chengdu from 2015 to 2021,we collected ultrasound and questionnaire results.Progression was defined as changing from BI-RADS category 1 or 2 to 3 or above,or from the initial screening result of BI-RADS 3 or above to a higher category in subsequent ultrasound screenings.The Cox proportional hazards regression model was used to explore potential influencing factors for BI-RADS classification progression.A restricted cubic spline was used to explore the nonlinear association between the variables and the risk of progression.Results A total of 7 069 participants were included in the analysis and followed up for 23 580 person-years.Compared with other age groups,the proportion of participants of BI-RADS category 3 and above was highest in the 40-44 age group(24.83％).Cox regression analysis showed that postmenopausal women had a lower risk of BI-RADS progression than premenopausal women did(hazard ratio[HR]:0.65,95％confidence interval[CI]:0.44-0.97).In postmenopausal women,late menopause(HR=1.16,95％CI:1.03-1.30)was identified as a risk factor for BI-RADS progression.Obesity in premenopausal women was negatively associated with the risk of progression(HR=0.43,95％CI:0.21-0.88).Conclusion The risk factors for progression in ultrasound BI-RADS categories overlap with the risk factors for breast cancer.A risk score based on the high-risk factors for BI-RADS progression can be constructed to optimize screening programs for high-risk populations and improve the efficiency of breast cancer screening.
Breast cancer screeningBI-RADS ultrasound categoriesCohort study
万方数据
维普
