Objective: To investigate the impact of combined use of fixed and mobile mammography units to rationalize the management of breast cancer screening programs and increase population coverage.
Methods: An observational study was performed using agents-based modeling. The model was used to simulate breast cancer screening coverage in a specific region in the state of Rio de Janeiro () where 22 fixed mammography units are installed. The number and distribution of fixed and mobile units, as well as the required number of daily exams, were estimated considering a population coverage of 100% and 60% in the region for the 2015-2016 biennium.
Results: For the two-year period, a 60% population coverage could be reached with eight mammography units (five fixed and three mobile). Considering a scenario in which 100% of the eligible population would undergo screening, 11 units would be required (seven fixed and four mobile units). The actual coverage in the region for the 2015-2016 biennium was 36.4%, with 22 mammography units performing four exams daily.
Conclusions: The present simulation showed that it would be possible to reduce by half the number of mammography units in the region, ensuring 100% coverage. Adding more mobile units would facilitate access by the population from cities without installed mammography units and from rural areas.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459392 | PMC |
| http://dx.doi.org/10.26633/RPSP.2019.19 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Addressing Breast Cancer Disparities: A Comprehensive Approach to Health Equity.
J Surg Oncol
December 2024
Department of Surgery, Morehouse School of Medicine, Atlanta, Georgia, USA.
This article addresses the persistent disparities in breast cancer outcomes across different racial, ethnic, and socioeconomic groups despite advancements in diagnosis and treatment. The disparities are rooted in various factors, including access to care, socioeconomic status, and cultural barriers. The article emphasizes the need for targeted interventions, such as expanding insurance coverage, mobile mammography units, and culturally tailored outreach programs to promote health equity.
View Article and Find Full Text PDFBreast cancer in Bulgaria prior implementation of a national breast cancer screening program and certified breast centers.
J Cancer Policy
December 2024
Medical University Pleven, Kliment Ohridski 1, Pleven 5800, Bulgaria; University of Essex, United Kingdom.
Introduction: Breast cancer (BC) survival has improved globally in the past years. Eastern Europe is a region with lack of epidemiological data and traditionally lower BC overall survival (OS). We aimed to investigate the epidemiology of BC in Bulgaria between 2012 and 2022 and the readiness of the state for implementing population based organized screening program.
View Article and Find Full Text PDFTechnical feasibility of automated blur detection in digital mammography using convolutional neural network.
Eur Radiol Exp
November 2024
Department of Diagnostic and Interventional Radiology, University Hospital Zürich, Zürich, Switzerland.
Background: The presence of a blurred area, depending on its localization, in a mammogram can limit diagnostic accuracy. The goal of this study was to develop a model for automatic detection of blur in diagnostically relevant locations in digital mammography.
Methods: A retrospective dataset consisting of 152 examinations acquired with mammography machines from three different vendors was utilized.
The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning.
Cancers (Basel)
November 2024
National Institute for Nuclear Physics (INFN), Pisa Division, 56127 Pisa, Italy.
Artificial intelligence (AI), the wide spectrum of technologies aiming to give machines or computers the ability to perform human-like cognitive functions, began in the 1940s with the first abstract models of intelligent machines. Soon after, in the 1950s and 1960s, machine learning algorithms such as neural networks and decision trees ignited significant enthusiasm. More recent advancements include the refinement of learning algorithms, the development of convolutional neural networks to efficiently analyze images, and methods to synthesize new images.
View Article and Find Full Text PDFCombining Contrast-Enhanced Mammography and Radioactive-Free Magnetic Seed Localization of Non-palpable Breast Tumors: A Feasibility Study.
J Cancer
October 2024
Zuyderland Medical Center, Department of Medical Imaging, Sittard-Geleen, the Netherlands.
Magnetic seed localization is a novel and reliable technique for perioperative localization of non-palpable breast cancers. However, due to susceptibility artifacts, magnetic seeds cannot be during response monitoring of neoadjuvant chemotherapy with MRI. Contrast-enhanced mammography (CEM) could provide an alternative modality for response monitoring while magnetic seeds are .
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!