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TOMOGRAPHIC PATTERNS IN THE DIAGNOSTIC APPROACH TO COVID 19

Introduction: Computed axial tomography is a diagnostic imaging study in the field of medicine, it is expressed in images that show the interior of the human body structurally, through millimeter cross-sections using radiation. Objective: To identify the radiological findings in the chest computed tomography for the diagnosis of COVID - 19, through a systematic review of evidence-based medicine.

Methodology: Non-experimental descriptive study, through a systematic review of scientific articles from the main evidence-based medicine repositories and databases, through a search prism (Pubmed, Cochrane, Elseiver, Google Scholar). It is a logical deductive method, through the literature search, the radiological parameters of computed tomography in patients diagnosed with COVID - 19 are analyzed and described. Conclusion: Lung computed tomography can fully show its distribution, results of changes in shape and density and dynamic changes in patients with COVID-19 in the course of the disease and important clinical manifestations. The combination of the patient's laboratory indicators can help guide early clinical diagnosis, early isolation and early rehabilitation of coronavirus, and can be used as a basis for evaluating treatment-induced adverse reactions and the time in which symptoms linked to the radiological study appear.

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TOMOGRAPHIC PATTERNS IN THE DIAGNOSTIC APPROACH TO COVID 19

  • DOI: 10.22533/at.ed.15933423100510

  • Palavras-chave: Tomography, Covid 19, diagnostic imaging, coronavirus.

  • Keywords: Tomography, Covid 19, diagnostic imaging, coronavirus.

  • Abstract:

    Introduction: Computed axial tomography is a diagnostic imaging study in the field of medicine, it is expressed in images that show the interior of the human body structurally, through millimeter cross-sections using radiation. Objective: To identify the radiological findings in the chest computed tomography for the diagnosis of COVID - 19, through a systematic review of evidence-based medicine.

    Methodology: Non-experimental descriptive study, through a systematic review of scientific articles from the main evidence-based medicine repositories and databases, through a search prism (Pubmed, Cochrane, Elseiver, Google Scholar). It is a logical deductive method, through the literature search, the radiological parameters of computed tomography in patients diagnosed with COVID - 19 are analyzed and described. Conclusion: Lung computed tomography can fully show its distribution, results of changes in shape and density and dynamic changes in patients with COVID-19 in the course of the disease and important clinical manifestations. The combination of the patient's laboratory indicators can help guide early clinical diagnosis, early isolation and early rehabilitation of coronavirus, and can be used as a basis for evaluating treatment-induced adverse reactions and the time in which symptoms linked to the radiological study appear.

  • María Belén Alvarado Mora
  • Darwin Daniel Campos González.
  • Luis Alonso Arciniega Jácome.
  • María Fernanda Alvarado Mora.
  • Melanie Doménica Jordán Torres.
  • Rossi Dayana Ramírez Apolo.
  • Karla Vanessa Soto Paucar.
  • Rene Adolfo Salinas Paucar.
  • Karen Elizabeth Guamán Medina.
  • Kenia Noemí Loayza Peñaranda.
  • Gloria Anabel Ortíz Cruz.
  • Stefi Milena Soto Rodríguez.
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