Age-related change in mammographic breast density of women without history of breast cancer over a 10-year retrospective study

• Published in: PeerJ (San Francisco, CA) Vol. 11; p. e14836
• Main Authors: Ohmaru, Aiko, Maeda, Kazuhiro, Ono, Hiroyuki, Kamimura, Seiichiro, Iwasaki, Kyoko, Mori, Kazuhiro, Kai, Michiaki
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 14-02-2023; PeerJ, Inc; PeerJ Inc
• Subjects: Adult; Age; Anatomy and Physiology; BMI; Body mass index; Breast cancer; Breast Density; Breast Neoplasms - diagnosis; Cancer; Classification; Computer software industry; Development and progression; Disease; Early Detection of Cancer; Female; Humans; Machine learning; Mammography; Mammography - methods; Medical screening; Middle Aged; Mortality; Oncology; Oncology, Experimental; Personal information; Public Health; Radiology and Medical Imaging; Retrospective Studies; Risk Factors; Statistical analysis; Women; Womens health; Women’s Health; United States; Japan; United States > US; Breast density; Breast cancer; Mammography; BMI
• ISSN: 2167-8359; 2167-8359
• DOI: 10.7717/peerj.14836

Women with higher breast density are at higher risk of developing breast cancer. Breast density is known to affect sensitivity to mammography and to decrease with age. However, the age change and associated factors involved are still unknown. This study aimed to investigate changes in breast density and the associated factors over a 10-year period.
The study included 221 women who had undergone eight or more mammograms for 10 years (2011-2020), were between 25 and 65 years of age, and had no abnormalities as of 2011. Breast density on mammographic images was classified into four categories: fatty, scattered, heterogeneously dense, and extremely dense. Breast density was determined using an image classification program with a Microsoft Lobe's machine-learning model. The temporal changes in breast density over a 10-year period were classified into three categories: no change, decrease, and increase. An ordinal logistic analysis was performed with the three groups of temporal changes in breast density categories as the objective variable and the four items of breast density at the start, BMI, age, and changes in BMI as explanatory variables.
As of 2011, the mean age of the 221 patients was 47 ± 7.3 years, and breast density category 3 scattered was the most common (67.0%). The 10-year change in breast density was 64.7% unchanged, 25.3% decreased, and 10% increased. BMI was increased by 64.7% of women. Breast density decreased in 76.6% of the category at the start: extremely dense breast density at the start was correlated with body mass index (BMI). The results of the ordinal logistic analysis indicated that contributing factors to breast density classification were higher breast density at the start (odds ratio = 0.044; 95% CI [0.025-0.076]), higher BMI at the start (odds ratio = 0.76; 95% CI [0.70-0.83]), increased BMI (odds ratio = 0.57; 95% CI [0.36-0.92]), and age in the 40s at the start (odds ratio = 0.49; 95% CI [0.24-0.99]). No statistically significant differences were found for medical history.
Breast density decreased in approximately 25% of women over a 10-year period. Women with decreased breast density tended to have higher breast density or higher BMI at the start. This effect was more pronounced among women in their 40s at the start. Women with these conditions may experience changes in breast density over time. The present study would be useful to consider effective screening mammography based on breast density.