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Interest of the thoracic scanner in the diagnosis of COVID-19: study of 35 cases in the Republic of Guinea
Atakla, Hugues Ghislain; Condé, Kaba; Noudohounsi, Mahugnon Maurel Ulrich Dénis; Dongmo, Malcom Steves Sokeng; Garba, Aichatou Hamidou; Houinato, Dismand Stephan; Cissé, Fodé Abass.
  • Atakla, Hugues Ghislain; s.af
  • Condé, Kaba; s.af
  • Noudohounsi, Mahugnon Maurel Ulrich Dénis; s.af
  • Dongmo, Malcom Steves Sokeng; s.af
  • Garba, Aichatou Hamidou; s.af
  • Houinato, Dismand Stephan; s.af
  • Cissé, Fodé Abass; s.af
Pan Afr. med. j ; 35(2)2020.
Article in English | AIM | ID: biblio-1268664
ABSTRACT

Introduction:

the aim of this work is to evaluate the contribution of thoracic computed tomography (CT) in the diagnosis of COVID-19 in Guinea.

Methods:

this was a retrospective study with data recorded over a 2 Month period. Records of patients who tested positive on chest CT without contrast injection on admission were included in this study. Not included are those who did or did not perform a chest CT scan after confirmation of the diagnosis by RT-PCR. The data were collected under the direction of the National Health Security Agency (ANSS) and analysed using STATA/SE version 11.2 software.

Results:

all patients tested performed a chest CT scan without contrast injection while awaiting the RT-PCR test result. Eighty percent (80%) of patients had lesions characteristic of COVID-19 viral pneumonia on chest CT. The reverse transcriptase PCR (RT-PCR) test was later positive in 33 patients (94.28%) and negative in 2 (5.71%).

Conclusion:

it is noted from this study that chest computed tomography is a critical tool in the rapid diagnosis of COVID-19 infection. Its systematization in all patients suspected in our dispute, would facilitate diagnosis while waiting for confirmation by RT-PCR and would limit the loss of cases
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Index: AIM (Africa) Main subject: Tomography, X-Ray Computed / Guinea / Coronavirus Infections / COVID-19 Type of study: Observational study Country/Region as subject: Africa Language: English Journal: Pan Afr. med. j Year: 2020 Type: Article

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Index: AIM (Africa) Main subject: Tomography, X-Ray Computed / Guinea / Coronavirus Infections / COVID-19 Type of study: Observational study Country/Region as subject: Africa Language: English Journal: Pan Afr. med. j Year: 2020 Type: Article