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Comparing the Sensitivity and Specificity of Lung CT-scan with RT-PCR for Diagnosis of COVID-19.
Asghari, Akram; Adeli, Seyed-Hasan; Parham, Mahmoud; Bagherzade, Mohammad; Ahmadpour, Sajjad; Shajari, Rasoul; Tabarrai, Reihane; Shakeri, Masoumeh; Habibi, Mohammad Amin; Jabbari, Amir; Jafari, Saeede; Razavinia, Fatemesadat; Foroghi Ghomi, Seyed Yaser; Ebrazeh, Ali; Vafaeimanesh, Jamshid.
Afiliación
  • Asghari A; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Adeli SH; Department of Internal Medicine, School of Medicine, Qom University of Medical Sciences, Qom, Iran.
  • Parham M; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Bagherzade M; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Ahmadpour S; Patient Safety Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran.
  • Shajari R; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Tabarrai R; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Shakeri M; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Habibi MA; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Jabbari A; Iranian Tissue Bank & Research Center, Gene, Cell & Tissue Research Institute, Tehran University of Medical Science, Tehran, Iran.
  • Jafari S; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Razavinia F; Patient Safety Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran.
  • Foroghi Ghomi SY; Student Research Committee, Qom University of Medical Sciences, Qom, Iran.
  • Ebrazeh A; Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.
  • Vafaeimanesh J; Department of Public Health, Faculty of Health Qom University of Medical Sciences, Qom, Iran.
Curr Med Imaging ; 19(4): 327-332, 2023.
Article en En | MEDLINE | ID: mdl-35726406
BACKGROUND: The lung is one of the major organs affected by the SARS-CoV-2 virus. Lung CT scan and RT-PCR are the most valuable diagnostic methods in the early diagnosis and management of COVID-19. Due to the possible inconsistency of the false-negative results for the RT-PCR test, in our study, we aimed to evaluate the sensitivity and specificity of lung CT-scan as an accurate diagnostic method of COVID-19. METHODS: In this cross-sectional study, patients suspected of COVID-19 and referred to Shahid Beheshti Hospital in Qom city from February 26 to April 13, 2020, were enrolled. For a definitive diagnosis of COVID-19, chest CT scan and RT-PCR testing was performed for 644 patients, and both sensitivity and specificity of lung CT scan were evaluated. RESULTS: According to the findings, and comparing to the RT-PCR test as the gold standard, sensitivity, specificity as well as, positive predictive and negative predictive values of lung CT-scan were found as follow; 94.47% (95% CI: 90.73 - 97.02%), 24.71% (95% CI: 20.70 - 29.07%), 40.73% (95% CI: 36.58 - 44.99%), 89.08% (95% CI: 82.4 - 94.05%), respectively. CONCLUSION: According to the findings, the lung CT scan has a better diagnostic value than RTPCR in symptomatic patients who were referred to the hospital for COVID-19 diagnosis. Performing lung CT-scan in patients with negative RT-PCR tests should be assessed.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Curr Med Imaging Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Emiratos Árabes Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Curr Med Imaging Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Emiratos Árabes Unidos