Literature DB >> 33913066

Comparison of the CO-RADS and the RSNA chest CT classification system concerning sensitivity and reliability for the diagnosis of COVID-19 pneumonia.

Mohamed Abdel-Tawab1, Mohammad Abd Alkhalik Basha2, Ibrahim A I Mohamed1, Hamdy M Ibrahim1, Mohamed M A Zaitoun3, Saeed Bakry Elsayed3, Nader E M Mahmoud3, Ahmed A El Sammak3, Hala Y Yousef3, Sameh Abdelaziz Aly4, Hamada M Khater4, Walid Mosallam5, Waleed S Abo Shanab6, Ali M Hendi7, Sayed Hassan1.   

Abstract

BACKGROUND: The Radiological Society of North America (RSNA) recently published a chest CT classification system and Dutch Association for Radiology has announced Coronavirus disease 2019 (COVID-19) reporting and data system (CO-RADS) to provide guidelines to radiologists who interpret chest CT images of patients with suspected COVID-19 pneumonia. This study aimed to compare CO-RADS and RSNA classification with respect to their sensitivity and reliability for diagnosis of COVID-19 pneumonia.
RESULTS: A retrospective study assessed consecutive CT chest imaging of 359 COVID-19-positive patients. Three experienced radiologists who were aware of the final diagnosis of all patients, independently categorized each patient according to CO-RADS and RSNA classification. RT-PCR test performed within one week of chest CT scan was used as a reference standard for calculating sensitivity of each system. Kappa statistics and intraclass correlation coefficient were used to assess reliability of each system. The study group included 359 patients (180 men, 179 women; mean age, 45 ± 16.9 years). Considering combination of CO-RADS 3, 4 and 5 and combination of typical and indeterminate RSNA categories as positive predictors for COVID-19 diagnosis, the overall sensitivity was the same for both classification systems (72.7%). Applying both systems in moderate and severe/critically ill patients resulted in a significant increase in sensitivity (94.7% and 97.8%, respectively). The overall inter-reviewer agreement was excellent for CO-RADS (κ = 0.801), and good for RSNA classification (κ = 0.781).
CONCLUSION: CO-RADS and RSNA chest CT classification systems are comparable in diagnosis of COVID-19 pneumonia with similar sensitivity and reliability.

Entities:  

Keywords:  COVID-19; Pneumonia; Reproducibility of results; Retrospective studies; Tomography (X-ray computed)

Year:  2021        PMID: 33913066     DOI: 10.1186/s13244-021-00998-4

Source DB:  PubMed          Journal:  Insights Imaging        ISSN: 1869-4101


  1 in total

1.  Diagnostic Performance of CO-RADS and the RSNA Classification System in Evaluating COVID-19 at Chest CT: A Meta-Analysis.

Authors:  Robert M Kwee; Hugo J A Adams; Thomas C Kwee
Journal:  Radiol Cardiothorac Imaging       Date:  2021-01-14
  1 in total
  4 in total

Review 1.  Diagnostic performance of CO-RADS for COVID-19: a systematic review and meta-analysis.

Authors:  Guina Liu; Yuntian Chen; A Runa; Jiaming Liu
Journal:  Eur Radiol       Date:  2022-03-29       Impact factor: 5.315

2.  Chest Computed Tomography Is an Efficient Method for Initial Diagnosis of COVID-19: An Observational Study.

Authors:  Waldonio de Brito Vieira; Karen Margarete Vieira da Silva Franco; Apio Ricardo Nazareth Dias; Aline Semblano Carreira Falcão; Luiz Fábio Magno Falcão; Juarez Antonio Simões Quaresma; Rita Catarina Medeiros de Sousa
Journal:  Front Med (Lausanne)       Date:  2022-04-12

3.  Epidemiological and Clinical Characteristics of Hospitalized Pediatric Patients with SARS-CoV-2 Infection in Mexico City, Mexico.

Authors:  Gustavo Esteban Lugo-Zamudio; Antonio Aguilar-Rojas; Martín Uriel Vázquez-Medina; Antonio Gutiérrez-Ramírez; Ma Cristina Upton-Alvarado; Patricia Espinoza-Rivas; Gustavo Lagunas-Torres; María Isabel Rojo-Gutiérrez; Gabriela Ibáñez-Cervantes; Cruz Vargas-De-León
Journal:  Can J Infect Dis Med Microbiol       Date:  2022-04-25       Impact factor: 2.585

4.  Radiological Findings in SARS-CoV-2 Viral Pneumonia Compared to Other Viral Pneumonias: A Single-Centre Study.

Authors:  Rana Günöz Cömert; Eda Cingöz; Sevim Meşe; Görkem Durak; Atadan Tunaci; Ali Ağaçfidan; Mustafa Önel; Şükrü Mehmet Ertürk
Journal:  Can J Infect Dis Med Microbiol       Date:  2022-09-29       Impact factor: 2.585

  4 in total

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