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Assessing Mean Glandular Dose in Mammography in Jordan According to American College of Radiology (ACR) Standards.
Cancer Manag Res
January 2025
School of Physics, Universiti Sains Malaysia, Penang, 11800 Gelugor, Malaysia.
Introduction: Breast cancer is a significant worldwide health issue, particularly in Jordan, where early detection via mammography is essential for effective disease management. Despite the little radiation risk associated with mammography, it is crucial to monitor radiation exposure to guarantee patient safety. This study intends to assess skin entrance exposure and compute the Mean Glandular Dose (MGD) in mammography units to determine adherence to established criteria and pinpoint areas for enhancement.
View Article and Find Full Text PDFIntroduction: Incorporation of mammographic density to breast cancer risk models could improve risk stratification to tailor screening and prevention strategies according to risk. Robust evaluation of the value of adding mammographic density to models with comprehensive information on questionnaire-based risk factors and polygenic risk score is needed to determine its effectiveness in improving risk stratification of such models.
Methods: We used the Individualized Coherent Absolute Risk Estimator (iCARE) tool for risk model building and validation to incorporate density to a previously validated literature-based model with questionnaire-based risk factors and a 313-variant polygenic risk score (PRS).
Perceived everyday discrimination, socioeconomic status, and mammography behavior.
Sci Rep
December 2024
Department of Health Disparities Research, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Black women (BW) experience age-adjusted breast cancer mortality rates that are 40% higher than White women. Although, screening rates for breast cancer are similar between White and Black women, differences in mammography utilization exist among women with lower socioeconomic status (SES). Moreover, perceived everyday discrimination (PED) has been shown to have an inverse relationship on health screening behavior among BW.
View Article and Find Full Text PDFArticle Synopsis
- Breast density is a significant predictor of breast cancer risk, particularly examining categories C (heterogeneously dense) and D (extremely dense), which have been less studied.
- The study analyzed data from 107 women with breast density in categories C and D, finding a 32% breast cancer incidence, predominantly infiltrating ductal carcinoma, and established a strong link between higher BI-RADS categories and malignancy risk.
- The findings highlight the need for improved screening methods for women with extremely dense breasts, as they carry a higher risk of cancer, emphasizing the importance of targeted healthcare resources for these patients.
Comparison of Full-Field Digital Mammography with Synthesized Mammography from Tomosynthesis in a Diagnostic population: Prospective Study.
Indian J Radiol Imaging
January 2025
Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
Synthesized mammography (SM) refers to two-dimensional (2D) images derived from the digital breast tomosynthesis (DBT) data. It can reduce the radiation dose and scan duration when compared with conventional full-field digital mammography (FFDM) plus tomosynthesis. To compare the diagnostic performance of 2D FFDM with synthetic mammograms obtained from DBT in a diagnostic population.
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