This CBIS-DDSM (Curated Breast Imaging Subset of DDSM) is an updated and standardized version of the Digital Database for Screening Mammography (DDSM). The DDSM is a database of 2,620 scanned film mammography studies. It contains normal, benign, and malignant cases with verified pathology information. The scale of the database along with ground truth validation makes the DDSM a useful tool in the development and testing of decision support systems. The CBIS-DDSM collection includes a subset of the DDSM data selected and curated by a trained mammographer. The images have been decompressed and converted to DICOM format. Updated ROI segmentation and bounding boxes, and pathologic diagnosis for training data are also included. A manuscript describing how to use this dataset in detail is available at https://www.nature.com/articles/sdata2017177.

Published research results from work in developing decision support systems in mammography are difficult to replicate due to the lack of a standard evaluation data set; most computer-aided diagnosis (CADx) and detection (CADe) algorithms for breast cancer in mammography are evaluated on private data sets or on unspecified subsets of public databases. Few well-curated public datasets have been provided for the mammography community. These include the DDSM, the Mammographic Imaging Analysis Society (MIAS) database, and the Image Retrieval in Medical Applications (IRMA) project. Although these public data sets are useful, they are limited in terms of data set size and accessibility.

For example, most researchers using the DDSM do not leverage all its images for a variety of historical reasons. When the database was released in 1997, computational resources to process hundreds or thousands of images were not widely available. Additionally, the DDSM images are saved in non-standard compression files that require the use of decompression code that has not been updated or maintained for modern computers. Finally, the ROI annotations for the abnormalities in the DDSM were provided to indicate a general position of lesions, but not a precise segmentation for them. Therefore, many researchers must implement segmentation algorithms for accurate feature extraction. This causes an inability to directly compare the performance of methods or to replicate prior results. The CBIS-DDSM collection addresses that challenge by publicly releasing an curated and standardized version of the DDSM for evaluation of future CADx and CADe systems (sometimes referred to generally as CAD) research in mammography.

Please note that the image data for this collection is structured such that each participant has multiple patient IDs. For example, participant 00038 has 10 separate patient IDs which provide information about the scans within the IDs (e.g. Calc-Test_P_00038_LEFT_CC, Calc-Test_P_00038_RIGHT_CC_1). This makes it appear as though there are 6,671 patients according to the DICOM metadata, but there are only 1,566 actual participants in the cohort.

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Rationale and objectives: Computer-aided detection and diagnosis (CAD) systems have been developed in the past two decades to assist radiologists in the detection and diagnosis of lesions seen on breast imaging exams, thus providing a second opinion. Mammographic databases play an important role in the development of algorithms aiming at the detection and diagnosis of mammary lesions. However, available databases often do not take into consideration all the requirements needed for research and study purposes. This article aims to present and detail a new mammographic database.

Materials and methods: Images were acquired at a breast center located in a university hospital (Centro Hospitalar de S. João [CHSJ], Breast Centre, Porto) with the permission of the Portuguese National Committee of Data Protection and Hospital's Ethics Committee. MammoNovation Siemens full-field digital mammography, with a solid-state detector of amorphous selenium was used.

Results: The new database-INbreast-has a total of 115 cases (410 images) from which 90 cases are from women with both breasts affected (four images per case) and 25 cases are from mastectomy patients (two images per case). Several types of lesions (masses, calcifications, asymmetries, and distortions) were included. Accurate contours made by specialists are also provided in XML format.

Conclusion: The strengths of the actually presented database-INbreast-relies on the fact that it was built with full-field digital mammograms (in opposition to digitized mammograms), it presents a wide variability of cases, and is made publicly available together with precise annotations. We believe that this database can be a reference for future works centered or related to breast cancer imaging.

Abstract Objective: to describe the distribution of available mammograms in the Sistema Único de Saúde (SUS) (Public Health Care System) and the mammography offering were carried out by this system, throughout the health regions in Pernambuco State, and compared them with the parametric care recommended by the Ministry of Health. Methods: this is a descriptive cross-sectional study that used secondary mammograms data in December 2016 by the Cadastro Nacional de Estabelecimentos de Saúde (National Registy on Health Establishments); and about mammography performed at SUS in 2016 by the Sistema de Informação Ambulatorial (Ambulatory Information System). The parametric care document No. 1.631/2015 was used as a comparability standard in relation to the distribution of the equipment and the mammography offering. Results: Pernambuco State presented approximately the double amount of mammograms and mammography was performed about 46% below the recommended parameter used in this study. All the health regions presented sufficient quantity of mammograms. However, the use of the installed capacity was less than 50% in all the health regions in the state. Conclusions: this study shows the need for a better use of the installed capacity for mammograms in Pernambuco State taken by the insufficient mammography offering and the poor distribution of the equipment in its territory.

This dataset presents the footprint of participation statistics in BreastScreen Australia for women ages 50 to 74, by age group. The national breast cancer screening program, BreastScreen Australia began in 1991. It aims to reduce illness and death from breast cancer using screening mammography for early detection of unsuspected breast cancer in women. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic boundaries from the 2011 Australian Statistical Geography Standard (ASGS). Cancer is one of the leading causes of illness and death in Australia. Cancer screening programs aim to reduce the impact of selected cancers by facilitating early detection, intervention and treatment. Australia has three cancer screening programs: BreastScreen Australia National Cervical Screening Program (NCSP) National Bowel Cancer Screening Program (NBCSP) The National cancer screening programs participation data presents the latest cancer screening participation rates and trends for Australia's 3 national cancer screening programs. The data has been sourced from the Australian Institute of Health and Welfare (AIHW) analysis of National Bowel Cancer Screening Program register data, state and territory BreastScreen Australia register data and state and territory cervical screening register data. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - National Cancer Screening Programs Participation Data Tables. Please note: AURIN has spatially enabled the original data.

Rationale and objectives: Computer-aided detection and diagnosis (CAD) systems have been developed in the past two decades to assist radiologists in the detection and diagnosis of lesions seen on breast imaging exams, thus providing a second opinion. Mammographic databases play an important role in the development of algorithms aiming at the detection and diagnosis of mammary lesions. However, available databases often do not take into consideration all the requirements needed for research and study purposes. This article aims to present and detail a new mammographic database. Materials and methods: Images were acquired at a breast center located in a university hospital (Centro Hospitalar de S. João [CHSJ], Breast Centre, Porto) with the permission of the Portuguese National Committee of Data Protection and Hospital s Ethics Committee. MammoNovation Siemens full-field digital mammography, with a solid-state detector of amorphous selenium was used. Results: The new database-INbreast-h

The Argentinian mammography market, while lacking precise figures in the provided data, shows promising growth potential mirroring global trends. Considering a global CAGR of 9.10% and the increasing prevalence of breast cancer globally, coupled with Argentina's healthcare infrastructure improvements, a conservative estimate for the Argentinian market size in 2025 would be between $20 million and $30 million USD. This is a logical estimation considering Argentina’s relatively high healthcare expenditure and population size compared to smaller South American nations. Market drivers in Argentina include rising breast cancer awareness campaigns leading to increased screening rates, government initiatives focused on early detection programs, and a growing number of private diagnostic centers expanding access to mammography services. Trends include the increasing adoption of digital mammography systems offering superior image quality and reduced radiation exposure. Furthermore, the growth of breast tomosynthesis is expected to contribute significantly to market expansion in the coming years. Restraints might include limited healthcare infrastructure in certain regions, high equipment costs, and the potential for reimbursement challenges impacting affordability. The market is segmented by product type (digital, analog, tomosynthesis, others) and end-users (hospitals, specialty clinics, diagnostic centers). Major players like GE Healthcare, Philips, and Siemens (if present in the Argentinian market) will likely compete for market share, alongside local and regional distributors. The forecast period of 2025-2033 suggests substantial market expansion, potentially exceeding $50 million USD by 2033, driven by continued technological advancements and increased healthcare spending. Further research with local market data would provide a more precise assessment. The Argentinian mammography market is poised for significant growth, driven by factors such as rising breast cancer awareness, technological advancements, and governmental investments in healthcare infrastructure. While the exact market size in 2025 remains unquantified in the provided data, a reasonable approximation is possible based on global trends and regional economic indicators. The segment focused on digital mammography and tomosynthesis is anticipated to exhibit the fastest growth due to improved image quality and diagnostic accuracy, thus attracting increased investments from both public and private sectors. While challenges such as high equipment costs and reimbursement issues persist, the overall outlook is optimistic, fuelled by growing demand and increasing affordability of advanced mammography technologies. The presence of established international players along with potential local competitors ensures a dynamic and competitive landscape. Recent developments include: Nov 2022: The National Comprehensive Cancer Network has launched a collaborative project with the Latin American and Caribbean Society of Medical Oncology (SLACOM) in Buenos Aires, Argentina., October 2022: Argentinean union Futbolistas Argentinos Agremiados (FAA) developed its own national awareness campaign together with the Argentinean Football Association (AFA) and the Argentinean Referees Association (AAA) and purchased a high-tech digital mammography unit, offering free care to its affiliated women's players. Key drivers for this market are: Growing Burden of Breast Cancer, Technological Advancements in the Field of Breast Imaging. Potential restraints include: Growing Burden of Breast Cancer, Technological Advancements in the Field of Breast Imaging. Notable trends are: Diagnostic Centers to Hold Significant Share in End-User Segment.

Gini decomposition by income sources of mammography examination and Pap smear screening.

This collection automatically captures metadata, the source of which is the NACIONAL PUBLIC HEALTH INSTITY and corresponds to the source collection entitled “Last mammography among women aged 50 to 69 years by year, Slovenia, 2007 and 2014”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

Relationships of demographic, socioeconomic, geographic, benefits scheme, and economic status factors with mammograms and Pap smears using Univariate Logistic Regression.

Relationships of demographic, socioeconomic, geographic, benefits scheme, and economic status factors with mammograms and Pap smear using Multiple Logistic Regression, Backward stepwise.

NHS Breast Screening Programme, England 2021-22

For each region, attained-age- and birth-cohort-specific annual changes in the incidence of stage 2–4 breast cancer in the 8-year period 2000–2007.

IntroductionThe sensitivity of mammography screening is lower in women with dense breast. Increasing the efficacy of breast cancer screening have received special attention recently. The automated breast ultrasound (ABUS) shows promising results to complement mammography. Our aim was to expand the existing breast cancer screening protocol with ABUS within a Hungarian pilot project.MethodsFirst, we developed a protocol for the screening process focusing on integrating ABUS to the current practice. Consensus among clinical experts was achieved considering information from the literature and the actual opportunities of the hospital. Then we developed a protocol for evaluation that ensures systematic data collection and monitoring of screening with mammography and ABUS. We identified indicators based on international standards and adapted them to local setting. We considered their feasibility from the data source and timeframe perspective. The protocol was developed in a partnership of researchers, clinicians and hospital managers.ResultsThe process of screening activity was described in a detailed flowchart. Human and technological resource requirements and communication activities were defined. We listed 23 monitoring indicators to evaluate the screening program and checked the feasibility to calculate these indicators based on local data collection and other sources. Partnership between researchers experienced in planning and evaluating screening programs, interested clinicians, and hospital managers resulted in a locally implementable, evidence-based screening protocol.DiscussionThe experience and knowledge gained on the implementation of the ABUS technology could generate real-world data to support the decision on using the technology at national level.

BackgroundThis study investigated disparities in breast cancer screening participation between living in residential segregations (SAs, segregated areas defined by clustering of low levels of income and education) and in non-segregated, complementary areas (CAs) of Hungary.MethodsIn a nationwide cross-sectional study, data from 2019 were obtained from the National Health Insurance Fund (NHIF). In accordance with the Hungarian recommendation, the target group was composed of women aged 45–65, and screening participation was evaluated as appropriate if the women participated in mammography within 2 years. Standardized participation ratios (sPRs) were calculated for each SA and CA. These ratios were adjusted for age and eligibility for exemption certificates. The calculations were done for each general medical practice (GMP) serving a population with at least one SA, as well as for the whole country. The level of inequality was quantified by the relative standardized participation ratio (rsPR) by comparing sPR in the segregated versus non-segregated areas.ResultsThe study identified 11,581 observed breast cancer screening cases in SAs, compared with 417,891 in CAs, with target populations of 45,185 in SAs and 984,198 in CAs. In general, crude participation rates were significantly lower in SAs (25.6%) than in CAs (42.5%), with a rsPR of 0.62 (95% CI: 0.61–0.63). The impact of segregation on national screening coverage was negligible (population attributable risk: −1.2%). The GMP-level rsPR varied widely with a median of 0.653 and interquartile range (IQR) of 0.464–0.867. Notably, 15.6% of the GMPs had significantly reduced rsPR.ConclusionThis study demonstrated that breast cancer screening coverage is considerably lower among women living in SAs than in those living in non-segregated areas. GMPs showed substantial variability with respect to segregation related inequality. There was a remarkable proportion of GMPs without local inequality. The impact of segregation on national breast cancer screening participation was negligible. According to our observations, the segregation-specific indicators should be included in screening monitoring, and its results should be feedback to local authorities and stakeholders in order to identify and address local problems of screening organization to reduce inequalities.