Mammographic breast density and its associated findings among IIUM Kuantan staff

• Main Authors: Hassan, Radhiana, Muslim, Aisyah Khaulah, Abd Aziz, Karimah Hanim
• Format: Article
• Language: English
• Published: International Islamic University Malaysia 2024
• Subjects: R Medicine (General)
• Online Access: http://irep.iium.edu.my/113829/7/113829_%20Mammographic%20breast%20density.pdf; http://irep.iium.edu.my/113829/; https://journals.iium.edu.my/ijahs/index.php/IJAHS/issue/view/34
• Institution: Universiti Islam Antarabangsa Malaysia

Introduction: Mammographic breast density is a strong risk factor for breast cancer. In this study, we investigate the distribution of mammographic density in female staff members from the International Islamic University Malaysia (IIUM) in Kuantan. We also explore the associations between mammographic density and various factors, including age, parity, body mass index (BMI), breastfeeding history, and the usage of hormonal replacement therapy. Methodology: A cross-sectional study was conducted, involving 54 female staff volunteers from IIUM Kuantan. All participants underwent digital mammography screening, and their mammographic density was evaluated using the Breast Imaging Reporting and Data System (BI-RADS) classification, which categorizes breast density composition from A to D, from being entirely fatty to extremely dense. The demographic and other relevant data were collected through structured questionnaires and reviewing of medical records. Logistic regression was performed to assess the association between mammographic density and the selected factors. Result & Discussion: Most breast density fell into category B (51.9%) and category C (48.1%), with no participants falling under category A or D. Further analysis revealed no statistically significant association between mammographic density with age, parity, BMI, breastfeeding history, or usage of hormonal replacement therapy. Conclusion: The relatively even distribution between the mammographic density of B and C categories suggests a balanced representation of breast parenchymal patterns in this population. Although the lack of statistical significance is likely due to the small sample cohort, factors such as age, BMI and breast-feeding history showed weak association with breast density. These findings contribute to the existing knowledge on breast health and may aid in the future development of tailored screening and prevention strategies.