Relationship Between Formulaic Breast Volume And Risk Of Breast Cancer Based On Linear Measurement

Abstract

Background: Whether breast volume is a risk factor for breast cancer has been controversial. This study aimed to evaluate whether or not the significant association between breast volume and risk of breast cancer based on linear measurement by applying Propensity Score Matching (PSM) was present.Methods: The study was designed as a hospital-based case-control study. Between March 2018 and May 2019, 208 cases and 340 controls were retrospectively reviewed. Information on menarche, smoking, feeding mode, oral contraceptives, reproductive history and family history was obtained through a structured questionnaire. Calculate breast volume using formula based on the linear measurement of breast parameters. Cox regression and PSM were used to estimate odds ratios and 95% confidence intervals for breast cancer by risk factors adjusted for potential confounders.Results: There was a significant difference in breast volume between two groups before Propensity Score Matching(P=0.014) : P=0.009, OR=1.002, 95% CI: 1.000~1.003). Binary logistic regression showed that the risk of breast cancer was slightly higher in the case group with larger breast volume than in the control group P=0.009, OR=1.002 95%CI 1.000 1.003). However, there was no significant statistical difference between two groups in independent sample Mann-Whitney U test (P=0.438) and in conditional logistic regression (P=0.446).Conclusions: After PSM for the potential confounders factors, the breast volume of cases did not differ from that of controls. The risk of breast cancer may not related to breast volume in Chinese women.