ABSTRACT
Objetivo: Avaliar o acesso e a adesão da população feminina, atendida pelo Sistema Único de Saúde (SUS), à Diretriz Brasileira de Detecção Precoce do Câncer de Mama, em duas cidades de médio porte de uma região metropolitana do estado de São Paulo, Brasil. Métodos: Estudo transversal. Os dados foram coletados no Sistema de Informação do Câncer (Siscan) e nas Secretarias Municipais de Saúde no período de 01/01 a 31/12 de 2017. Resultados: Em Santa Bárbara d'Oeste, foram realizadas 3.106 mamografias: 2.931 (94,4%) BI-RADS® 1-2; 21 (0,7%) BI-RADS® 3; 12 (0,4%) BI-RADS® 4-5; 142 (4,5%) BI-RADS® 0. A maioria dos exames (1.855 59,7%) foi realizada em mulheres de 50 a 69 anos. A cobertura mamográfica na população de risco foi de 11,2%. O envelhecimento foi relacionado ao BI-RADS® 4-5 (p = 0,005). A idade jovem esteve relacionada ao maior número de BI-RADS® 0 (p = 0,03). Em Vinhedo, foram realizadas 1.996 mamografias: 1.835 (91,9%) BI-RADS® 1-2; 9 (0,45%) BI-RADS® 3; 7 (0,35%) BI-RADS® 4-5; 145 (7,3%) BI-RADS® 0. A maioria dos exames (975 48,8%) foi realizada em mulheres de 50-69 anos. A população coberta pela mamografia foi de 17%. Reunindo ambas as análises populacionais, evidenciou-se que o envelhecimento esteve relacionado ao maior número de casos suspeitos (p = 0,007). Conclusão: A maioria das mamografias foi realizada em mulheres de 50-69 anos. A cobertura mamográfica ficou aquém da encontrada no Brasil e recomendada pela Organização Mundial da Saúde.
Objective: To evaluate the access and adherence of the female population, assisted by Health Unic System (SUS), to Brazilian Breast Cancer Early Detection Guideline in two medium-sized cities of a metropolitan region in the State of São Paulo, Brazil. Methods: Cross-sectional study. Data were collected from the Cancer Information System (Siscan) and from the Municipal Health Secretariats between 01/01 to 12/31, 2017. Results: In Santa Bárbara d'Oeste 3,106 mammograms were performed: 2,931 (94.4%) BI-RADS® 1-2; 21 (0.7%) BI-RADS® 3; 12 (0.4%) BI-RADS® 4-5; 142 (4.5%) BI-RADS® 0. Most of the exams (1,855 59.7%) among women aged 50-69 years. The mammographic coverage at risk population was 11.2%. Aging was related to BI-RADS® 4-5 (p = 0.005). The young age was related to the highest number of BI-RADS® 0 (p = 0.03). In Vinhedo 1,996 mammograms were performed: 1,835 (91.9%) BI-RADS® 1-2; 9 (0.45%) BI-RADS® 3; 7 (0.35%) BI-RADS® 4-5; 145 (7.3%) BI-RADS® 0. Most of the exams (975 48.8%) among women aged 50-69 years. The population covered by mammography was 17%. Gathering both population analysis, it was shown that aging was related to the highest number of suspected cases (p = 0.007). Conclusion: Most mammograms were performed between 50-69 years. Mammographic coverage fell short of that found in Brazil and recommended by the World Health Organization.
Subject(s)
Humans , Female , Breast Neoplasms/mortality , Breast Neoplasms/epidemiology , Breast Neoplasms/diagnostic imaging , Mammography/statistics & numerical data , Unified Health System , Health Services Coverage , Brazil/epidemiology , Cross-Sectional StudiesABSTRACT
Abstract Introduction The use of 3D imaging in the medical field has proven to be a benefit to doctors when diagnosing patients. As for different medical applications, 3D visualization systems have advantages in terms of a better spatial understanding of anatomical structures, better performance of tasks that require high level of dexterity, increased learning performance, and improved communications with patients or between doctors. Methods In this technical report, we show how to employ a multi-view autostereoscopic system to provide 3D images without any special glasses or equipment, describing a new way to obtain 3D visualization using sets of 2D images instead of real volumetric data such as magnetic resonance imaging (MRI) or computed tomography (CT). We also propose an application of the images in neuroanatomy. Results We obtained three-dimensional images of anatomical parts for visualization without glasses with resolution of 336 × 210 pixels'. Conclusion The proposed method was able to generate three-dimensional high-resolution images and has great potential to be used in various areas such as anatomy and physiological studies.