Objective: The United States Food and Drug Administration implemented federal regulations governing mammography under the Mammography Quality Standards Act (MQSA) of 1992. During 1995, its first year in implementation, we examined the impact of the MQSA on the quality of mammography in North Carolina.
Materials And Methods: All mammography facilities were inspected during 1993-1994, and again in 1995. Both inspections evaluated mean glandular radiation dose, phantom image evaluation, darkroom fog, and developer temperature. Two mammography health specialists employed by the North Carolina Division of Radiation Protection performed all inspections and collected and codified data.
Results: The percentage of facilities that met quality standards increased from the first inspection to the second inspection. Phantom scores passing rate was 31.6% versus 78.2%; darkroom fog passing rate was 74.3% versus 88.5%; and temperature difference passing rate was 62.4% versus 86.9%.
Conclusion: In 1995, the first year that the MQSA was in effect, there was a significant improvement in the quality of mammography in North Carolina. This improvement probably resulted from facilities' compliance with federal regulations.
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http://dx.doi.org/10.2214/ajr.174.4.1741089 | DOI Listing |
Cureus
December 2024
Department of Breast, Plastic and Reconstructive Surgery, Royal Hallamshire Hospital, Sheffield, GBR.
Background The incidence of margin re-excision following breast conserving surgery (BCS) is a quality measure in the National Health Service. The threshold is less than 20% of all BCS procedures. Despite three decades of studies and a wealth of literature identifying multiple factors associated with increased risk for margin involvement, an accepted threshold rate affecting one in five procedures remains high.
View Article and Find Full Text PDFCancer
February 2025
General Medicine Service, VA Puget Sound Health Care System, Seattle, Washington, USA.
Background: Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.
Methods: The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS.
Int J Equity Health
January 2025
The Hebrew University of Jerusalem, Faculty of Medicine, Jerusalem, Israel.
Background: Breast cancer is the most prevalent cancer among women worldwide, causing over 400,000 cases of premature death annually. Timely screening mammography (SM) could have prevented most death. Although SM utilization varies across countries, few studies have examined country-level factors, and fewer explored their interaction with individual-level factors.
View Article and Find Full Text PDFEur J Radiol
January 2025
Translational Medical Sciences, School of Medicine, University of Nottingham, City Hospital Campus, Hucknall Road, Nottingham NG5 1PB, United Kingdom.
Purpose: A survey conducted by the European Society of Breast Imaging (EUSOBI) in 2023 revealed significant variations in Quality Assurance (QA) practices across Europe. The UK encourages regular performance monitoring for screen readers. This study aimed to assess the variability in diagnostic performance among readers participating in a wider prospective randomised trial across multiple countries.
View Article and Find Full Text PDFPol J Radiol
December 2024
Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, Tehran, Iran.
Purpose: This study explored the use of computer-aided diagnosis (CAD) systems to enhance mammography image quality and identify potentially suspicious areas, because mammography is the primary method for breast cancer screening. The primary aim was to find the best combination of preprocessing algorithms to enable more precise classification and interpretation of mammography images because the selected preprocessing algorithms significantly impact the effectiveness of later classification and segmentation processes.
Material And Methods: The study utilised the mini-MIAS database of mammography images and examined the impact of applying various preprocessing method combinations to differentiate between malignant and benign breast lesions.
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