ArticleThe British journal of radiology2022
Mammographic breast density and breast cancer risk in the Saudi population: a case-control study using visual and automated methods.
Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Assessment of knowledge and awareness regarding breast density among breast cancer screening healthcare professionals.Frontiers in medicine · 2026Article
- Agreement Among Breast Cancer Screening Modalities in Breast Density Assessment and Cancer Risk Prediction.International journal of breast cancer · 2026Article
- Assessing the Effect of Breast Density on Screening Performance in a Population-Based Program.The breast journal · 2026Article
- Differentiating Breast Tissue Stiffness With Magnetic Resonance Elastography (MRE): A Focus on Fibroglandular and Fatty Tissues.NMR in biomedicine · 2025Article
- Association between Family History of Breast Cancer and Breast Density in Saudi Premenopausal Women Participating in Mammography Screening.Clinics and practice · 2024Article
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Authors and funding
13 authors.
Funding
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Abstract
objectiveThis study aims to establish risk of breast cancer based on breast density among Saudi women and to compare cancer prediction using different breast density methods.
methods1140 pseudonymised screening mammograms from Saudi females were retrospectively collected. Breast density was assessed using Breast Imaging Reporting and Data System (BI-RADS) density categories and visual analogue scale (VAS) of 285 cases and 855 controls matched on age and body mass index. In a subset of 160 cases and 480 controls density was estimated by two automated methods, Volpara Density
resultsFor BI-RADS, the OR was 6.69 (95% CI 2.79-16.06) in the highest
conclusionIncreased mammographic density was strongly associated with risk of breast cancer among Saudi women. Radiologists' visual assessment of breast density is superior to automated methods. However, pVAS and Volpara Density ™ also significantly predicted breast cancer risk based on breast density. ADVANCES IN KNOWLEDGE: Our study established an association between breast density and breast cancer in a Saudi population and compared the performance of automated methods. This provides a stepping-stone towards personalised screening using automated breast density methods.
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