Mammographic Density Distribution in Ras Al Khaimah (RAK): Relationships with Demographic and Reproductive Factors
(ندگان)پدیدآور
Albeshan, Salman MHossian, Syeda ZMackey, Martin GDemchig, DelgermaaPeat, Jennifer KBrennan, Patrick Cنوع مدرک
TextResearch Articles
زبان مدرک
Englishچکیده
Objective: Mammographic density is an important risk factor for breast cancer and determines to a large extentmammographic screening efficacy. This study aims to provide baseline data for mammographic density profiling ofwomen living in Ras Al Khaimah (RAK) and to identify risk factors associated with high mammographic density.Methods: A cross-sectional design was used to examine a series of 366 mammography cases. The Breast ImagingReporting and Data System (BI-RADS, 5th edition) was used to evaluate mammographic density. Pearson'schi-squared, Mann-Whitney U test and multivariate logistic regression were used for statistical analysis. Results:Most participants (67%) fell into BI-RADS b and c mammographic density categories. Of the total sample, womenwho were aged ≤ 45 years (p=0.004, OR=1.9), weighed ≤ 71kg (p=kg/m2 (p=denser breast tissue. Adjusted ethnicity regression analysis showed that Emirati women were significantly less likely tohave dense breast tissue compared with Western women (p=0.04, OR=0.4). Among the sample of survey participants,increased odds of having mammographic density were among women who were full-time workers (p=0.02, OR=2.8),of Christian faith (p=0.007, OR=4.4), nulliparous (p=0.003, OR=10.8), had three or fewer children (p=0.03, OR=3.8),and had used oral contraceptives for three years or more (p=0.01, OR=6.1). Conclusion: This study indicated thatbecause Emirati women have a low mammographic density profile, screening mammography can be considered as aneffective early detection imaging modality.
کلید واژگان
KEYWORDS: Breast cancerBreast density
mammography
risk factors
Diagnostic radiology
شماره نشریه
6تاریخ نشر
2018-06-011397-03-11
ناشر
West Asia Organization for Cancer Prevention (WAOCP)سازمان پدید آورنده
Medical Radiation Sciences, Medical Image Optimization and Perception Group (MIOPeG), Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.Discipline of Behavioral and Social Sciences in Health, Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.
Discipline of Physiotherapy, Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.
Medical Radiation Sciences, Medical Image Optimization and Perception Group (MIOPeG), Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.
Medical Radiation Sciences, Medical Image Optimization and Perception Group (MIOPeG), Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.
Medical Radiation Sciences, Medical Image Optimization and Perception Group (MIOPeG), Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.
شاپا
1513-73682476-762X




