Analysis of the use of brachytherapy treatment in prostate cancer patients attended in general public hospital of Palmas in 2015

• Autor(a) principal: BEZERRA, ANDRE de S.
• Data de Publicação: 2020
• Outros Autores: ZEITUNI, CARLOS A., ROSTELATO, MARIA E.C.M., INTERNATIONAL NUCLEAR ATLANTIC CONFERENCE
• Tipo de documento: Artigo de conferência
• Título da fonte: Repositório Institucional do IPEN
• Texto Completo: http://repositorio.ipen.br/handle/123456789/30581
• topic: brachytherapy; brazil; health services; neoplasms; patients; prostate; statistical data; therapeutic uses

Approximately 68.000 prostate cancer cases are estimated per year in Brazil, but many of these will present a bad prognosis due to the difficulties of access by users of public health services and the precariousness of many of these. This scenario is determinant for the occurrence of many cases of advanced disease, late diagnosis, worse clinical condition and higher risk of death. The state of Tocantins has a humble health structure that unfortunately does not yet have brachytherapy treatment for this condition and offers few beds for surgical treatment, while radiotherapy, performed in only one city in the state, coexists with constant problems and interruptions of care. The objective of this study is to analyze the population of patients with prostate cancer treated at the General Public Hospital of Palmas, the main state reference, in the year 2015, and specifically to determine how many of the patients could have been treated through brachytherapy. After approval by the Ethics and Research Committee, data collection, analysis, organization and treatment were carried out using BioEstat?? statistical software, aiming at consolidating information, producing results and obtaining answers to the objectives of this study. The study demonstrated that the majority of these patients came from other localities, with advanced clinical staging, adenocarcinoma histological type, but with 19% of cases presenting criteria for treatment by brachytherapy, which would lead to a significant decrease in the demand for beds and referrals to other centers.