This cross-sectional study aimed to estimate mammogram coverage in the State of Goiás, Brazil, describing the supply, demand, and variations in different age groups, evaluating 98 mammography services as observational units. We estimated the mammogram rates by age group and type of health service, as well as the number of tests required to cover 70% and 100% of the target population. We assessed the association between mammograms, geographical distribution of mammography machines, type of service, and age group. Full coverage estimates, considering 100% of women in the 40-69 and 50-69-year age brackets, were 61% and 66%, of which the Brazilian Unified National Health System provided 13% and 14%, respectively. To achieve 70% coverage, 43,424 additional mammograms would be needed. All the associations showed statistically significant differences (p < 0.001). We conclude that mammogram coverage is unevenly distributed in the State of Goiás and that fewer tests are performed than required.

ObjectiveTo estimate the coverage of opportunistic mammography screening performed via the Brazilian Sistema Único de Saúde (SUS, Unified Health Care System), at the state and regional level, in 2013.Materials and MethodsThis was an ecological study in which coverage was estimated by determining the ratio between the number of mammograms performed and the expected number of mammograms among the population of females between 50 and 69 years of age. The number of mammograms performed in the target population was obtained from the Outpatient Database of the Information Technology Department of the SUS. To calculate the expected number of mammograms, we considered 58.9% of the target population, the proportion that would be expected on the basis of the recommendations of the Brazilian National Cancer Institute.ResultsIn 2013, the estimated national coverage of mammography screening via the SUS was 24.8%. The mammography rate ranged from 12.0% in the northern region to 31.3% in the southern region. When stratified by state, coverage was lowest in the state of Pará and highest in the state of Santa Catarina (7.5% and 35.7%, respectively).ConclusionThe coverage of mammography screening performed via the SUS is low. There is a significant disparity among the Brazilian states (including the Federal District of Brasília) and among regions, being higher in the south/southeast and lower in the north/northeast.

Background: Factors that may hamper access to mammographic screening in any given region include socioeconomic limitations and the geographical distribution and quality of the mammography machines. This study evaluated access to breast cancer screening within the Brazilian National Health Service (SUS), the geographical distribution of mammography equipment and the number of mammograms performed in Brazil. Methods: This ecological study evaluated the availability of mammography machines within the SUS, those available for Brazil as a whole, its macroregions, states and the Federal District in 2016. The number of mammography machines required for breast cancer screening was calculated and compared to the number of machines available. The expected number of mammograms was compared with the actual number performed. Machines were georeferenced based on their location and the municipal seat, according to healthcare region, with 60 km being defined as the maximum distance for an individual to travel for a mammogram. Results: In 2016, there were 4,628 mammography machines in Brazil. Of these, 4,492 were in use and 2,113 (47%) were available to the SUS. Considering the number of mammograms required as a function of the number clinically indicated, 2,068 machines would be required for breast cancer screening in Brazil. The network of machines available would be capable of producing 14,279,654 exams; however, only 4,073,079 exams were performed, representing 29% of the total capacity of production in the country in 2016. Regarding the maximum distance of 60 km to access a mammogram, only relatively small areas of Brazil were found not to meet this indicator. Conclusion: These results suggest that the difficulty of the Brazilian population in accessing breast cancer screening through the SUS is not associated with the number of machines available or with the geographical location of the equipment but rather with the insufficient number of mammograms performed.

Background In Brazil, 70% of the population depends on the public healthcare system. Since early detection is considered crucial, this study aimed to evaluate temporal changes in breast cancer screening coverage provided under the Brazilian National Health Service (SUS) according to the different regions of the country between 2008 and 2017. Methods This ecological study analyzed data on breast cancer screening within the SUS for women aged 50–69 years. Coverage was calculated from the ratio between the number of screening tests conducted and the expected number for the target population. Joinpoint regression analysis was used to calculate annual percent changes (APC) in coverage. Results Around 19 million mammograms were performed in 50–69-year old women within the SUS between 2008 and 2016. The estimated APC indicates that breast cancer screening coverage increased by 14.5% annually in Brazil between 2008 and 2012 ( p < 0.01), with figures stabilizing between 2012 and 2017 as shown by an APC of − 0.4% ( p = 0.3). In the five geographic regions of the country, the APC initially increased, then stabilized in the north, northeast and southeast and decreased in the south and Midwest. Of the 26 states, coverage increased in seven and remained stable in six. In the other 13, there was an initial increase followed by stabilization in 11, and a reduction in coverage in two. In the Federal District, coverage remained stable throughout the study period. Conclusion Evaluation of the temporal changes in breast cancer screening coverage provided under the Brazilian National Health Service revealed an initial increase, confirming that public policies were effective, although insufficient to ensure organized screening. There appears to be a lack of uniformity between the different regions and states and this situation is highlighted in the final 5-year period, with the APC reflecting stabilization of breast cancer screening coverage.

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OBJECTIVE:To assess the effectiveness of a quality control program in mammography services of the Brazilian National Health System (SUS). METHODS:A prospective study using temporal analysis of a health surveillance action was conducted. A total of 35 service providers that had mammography equipment in operation and regularly performed exams between 2007 and 2009 in the state of Goiás, Central-Western Brazil, participated in this study. Services were assessed during three site visits by performance testing of mammography equipment, fi lm processors, and other materials, and image quality and entrance surface dose in a phantom were also assessed. Each service was scored according to the percentage of tests that conformed to standards. RESULTS:The mean percentage for compliance among the participating service providers were 64.1% (13.3%) in the fi rst visit, 68.4% ( 15.9%) in the second, and 77.1% ( 13.3%) in the third (p < 0.001). The main improvements resulted from adjustments to the breast compression force, the automatic exposure control system, and the alignment of the compression paddle. The doses measured were within the conformity range in 80% of the services assessed. CONCLUSIONS:The implementation of this program in the mammography services was effective at improving the operational parameters of the mammography machines, although 40% of the services did not reach the acceptable level of 70%. This result indicates the need to continue this health surveillance action. DESCRIPTORS:

Purpose: Mean Glandular Dose (MGD) is the quantity related to the risk of radiation-induced breast cancer. This study aimed to evaluate the MGD in screening mammography for women with breast implants. Methods: This retrospective study used data of 2680 mammographies of 335 asymptomatic women with mammary implants examined in a digital direct x-ray unit. Each woman had a total of eight images: four in standard views and four with posterior displacement of the implant (ID). Data on kV, mAs, target/filter combination, compressed breast thickness and MGD were obtained from the DICOM header of the stored images. Quantitative variables were presented through descriptive statistics for median (5th–95th percentiles); and the qualitative variables were presented by numbers and percentages. Mean glandular doses of standard views and ID views were compared and statistical analysis was used to assess the influence of implant position, breast glandularity and thickness on mean glandular doses. Results: Median MGD for standard views were 3.30 (2.60–4.00) mGy for CC and 3.31 (2.70–4.20) mGy for MLO. For ID views, median were 1.20 (0.90–2.20) mGy and 1.40 (0.97–3.74) mGy for CC and MLO views, respectively. Median MGD for the whole examination of women with breast implants was 9.60 (7.92–12.07) mGy, ranging from 6.25 to 21.50 mGy. When comparing MGD median for standard and ID views it was found a statistically significant difference (p < 0.05), with higher doses for the standard views due to the greater compressed breast thickness in these views. It was observed that, in the standard views, MGD decreases with increasing breast thickness due to the manual radiographic techniques used to expose the women. It was also observed that implant position does not affect MGD in breast augmentation mammography. Conclusion: Mammography of women with mammary implants gives higher radiation doses when compared with those without implants. For more accurate dose assessment in augmented breast mammography, it is necessary that specific conversion factors for the calculation of MGD based on air kerma at entrance of breasts with implants are made available.

Objectives: This study aimed to evaluate COVID-19 effects on breast cancer screening and clinical stage at diagnosis in patients of 50–69 years of age receiving care within the public healthcare network (SUS) in 2013–2021 in Brazil and its macro-regions.Methods: This ecological study used Poisson regression to analyze trends in screening and staging. A secondary database was formed using SUS sources: outpatient data system of the SUS network and Oncology—Brazil Panel.Results: There was a reduction in screening, with an annual percent change of −5.9 (p &lt; 0.022). The number of notified cases fell by 31.5% in 2020–2021 compared to 2018–2019. There was a 10.7% increase in the proportion of stage III/IV cases (p &lt; 0.001) in 2020–2021 compared to 2013–2019, now surpassing the number of cases of early stage breast cancer.Conclusion: COVID-19 led to a reduction in breast cancer screening and an expressive increase in advanced tumors in users of the public healthcare network. Urgent interventions in public policies are required as the negative effects of the pandemic on the diagnosis/treatment of breast cancer are becoming apparent even earlier than expected.