BACKGROUND: Sonographic breast density pattern like mammography is dependent on the relative proportion of connective and glandular tissue. Breast density is a marker for breast cancer risk and has received wide spread interest in many countries in recent times. AIMS AND OBJECTIVES: This paper aims at describing the sonographic breast pattern in women in Ibadan using the American College of Radiology in its breast imaging reporting and data system (ACR-BI-RADS) lexicon. It will also estimate the prevalence of the different sonographic breast patterns and attempt to find any association between the breast patterns and various demographic variables in the women studied. MATERIALS AND METHODS: A prospective, descriptive study of the sonographic breast pattern in 573 women carried out at the Department of Radiology, University College Hospital, Ibadan. Nigeria. Breasts scans were performed with an Aloka SSD and Logiq P5 machine. RESULTS: A total of 573 women were recruited into the study. Their age ranged between 14 and 74 years (mean = 38.91 ± 12.51 years and median = 38 years). The modal age group was 30-39 years (26.9%). The women attained menopause between 35 and 59 years (mean = 46.2 ± 5.1 years) while the median age for menopause was 47 years. The majority of the women studied were either obese or overweight (66.9%). Sixty-one (10.6%) women had a positive family history of breast cancer with the heterogeneous fibroglandular (60.7%) breast pattern being commonest in this high risk group; and in the entire study population (52.7%). Significant associations between the sonographic breast pattern, age, menopausal status, parity, body mass index (BMI), and waist-hip ratio (WHR) was found. BI-RADS 2 breast pattern appeared to decrease with increasing age while BI-RADS I breast pattern increased with increasing age (P < 0.001). CONCLUSION: Ultrasonography like mammography, can define the parenchymal breast pattern accurately. Strong correlation exists between parenchymal breast pattern and demographic, parity variables, and breast cancer risk factors.
BACKGROUND: Sonographic breast density pattern like mammography is dependent on the relative proportion of connective and glandular tissue. Breast density is a marker for breast cancer risk and has received wide spread interest in many countries in recent times. AIMS AND OBJECTIVES: This paper aims at describing the sonographic breast pattern in women in Ibadan using the American College of Radiology in its breast imaging reporting and data system (ACR-BI-RADS) lexicon. It will also estimate the prevalence of the different sonographic breast patterns and attempt to find any association between the breast patterns and various demographic variables in the women studied. MATERIALS AND METHODS: A prospective, descriptive study of the sonographic breast pattern in 573 women carried out at the Department of Radiology, University College Hospital, Ibadan. Nigeria. Breasts scans were performed with an Aloka SSD and Logiq P5 machine. RESULTS: A total of 573 women were recruited into the study. Their age ranged between 14 and 74 years (mean = 38.91 ± 12.51 years and median = 38 years). The modal age group was 30-39 years (26.9%). The women attained menopause between 35 and 59 years (mean = 46.2 ± 5.1 years) while the median age for menopause was 47 years. The majority of the women studied were either obese or overweight (66.9%). Sixty-one (10.6%) women had a positive family history of breast cancer with the heterogeneous fibroglandular (60.7%) breast pattern being commonest in this high risk group; and in the entire study population (52.7%). Significant associations between the sonographic breast pattern, age, menopausal status, parity, body mass index (BMI), and waist-hip ratio (WHR) was found. BI-RADS 2 breast pattern appeared to decrease with increasing age while BI-RADS I breast pattern increased with increasing age (P < 0.001). CONCLUSION: Ultrasonography like mammography, can define the parenchymal breast pattern accurately. Strong correlation exists between parenchymal breast pattern and demographic, parity variables, and breast cancer risk factors.