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  • 标题:Uso da tomografia computadorizada no diagnóstico do COVID-19
  • 本地全文:下载
  • 作者:Lucas Caetano Castelo Branco ; Lucas Costa de Gois ; Sabrina Brenda Castelo Branco Silva
  • 期刊名称:Research, Society and Development
  • 电子版ISSN:2525-3409
  • 出版年度:2022
  • 卷号:11
  • 期号:3
  • 页码:1-9
  • DOI:10.33448/rsd-v11i3.26764
  • 语种:English
  • 出版社:Grupo de Pesquisa Metodologias em Ensino e Aprendizagem em Ciências
  • 摘要:Objective: To provide an up-to-date assessment of the use of CT in cases of COVID-19. Methodology: This research belongs to an integrative review of operationalized literature, guided by the following phases: recognition of the dimension and precision of the interrogation of the literature; the exclusion and inclusion criteria; development of the chosen studies; distribution of elected works; observation of the research and clarification of the results; finally, the display of the complete review. Results: Thus, the studies were predominantly published in the year 2020, being equivalent to 75% of all articles used for the study and about 25% in the year 2021. Therefore, most of the works were from the United States 25%, against 12.5% for France, 12.5% for the Netherlands, 12.5% for Germany, 12.5% for Indonesia, 12.5% for the Netherlands and 12.5% for Spain. Therefore, the main findings in patients with suspected COVID-19 were found at the site: first, ground-glass opacity, second: Consolidations, third: reticular pattern, thickened interlobular septum, air bronchogram, and bronchiolectasis. Thus, the patterns characterize a certain prevalence in patients who present for CT. Conclusion: Conclusion- It is concluded that the diagnosis of Covid-19 is of extreme evaluation of patients, as it has several evolution computers for clinical follow-up, of patients, establishment of success for clinical follow-up, of patients, establishment of evolution for clinical follow-up of patients, establishment of drugs of clinical choice, even for the diagnosis of cases not identified in the RT-PCR test.
  • 关键词:X-ray computed tomography;COVID 19 virus infection;COVID-19.
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