OBJECTIVE: To define diagnostic criteria for coronavirus disease 2019 (COVID-19) on computed tomography (CT); to study the correlation between CT and polymerase chain reaction (PCR) testing for infection with severe acute respiratory syndrome coronavirus 2; and to determine whether the extent of parenchymal involvement and the need for mechanical ventilation are associated with the CT findings and clinical characteristics of patients with COVID-19. MATERIALS AND METHODS: This was a retrospective study of 155 patients with COVID-19 treated between March and May 2020. We attempted to determine whether the CT findings correlated with age and clinical variables, as well as whether the need for mechanical ventilation correlated with the extent of the pulmonary involvement. RESULTS: On average, the patients with COVID-19 were older than were those without (mean age, 54.8 years vs. 45.5 years; p = 0.031). The most common CT finding (seen in 88.6%) was ground-glass opacity, which correlated significantly with a diagnosis of COVID-19 (p = 0.0001). The CT findings that correlated most strongly with the need for mechanical ventilation were parenchymal bands (p = 0.013), bronchial ectasia (p = 0.046), and peribronchovascular consolidations (p = 0.012). The presence of one or more comorbidities correlated significantly with more extensive parenchymal involvement (p = 0.023). For the diagnosis of COVID-19, CT had a sensitivity of 84.3%, a specificity of 36.7%, and an accuracy of 73.5% (p = 0.012 vs. PCR). CONCLUSION: The patterns of CT findings are useful for the diagnosis of COVID-19 and the evaluation of disease severity criteria. The presence of any comorbidity is associated with greater severity of COVID-19.
OBJECTIVE: To define diagnostic criteria for coronavirus disease 2019 (COVID-19) on computed tomography (CT); to study the correlation between CT and polymerase chain reaction (PCR) testing for infection with severe acute respiratory syndrome coronavirus 2; and to determine whether the extent of parenchymal involvement and the need for mechanical ventilation are associated with the CT findings and clinical characteristics of patients with COVID-19. MATERIALS AND METHODS: This was a retrospective study of 155 patients with COVID-19 treated between March and May 2020. We attempted to determine whether the CT findings correlated with age and clinical variables, as well as whether the need for mechanical ventilation correlated with the extent of the pulmonary involvement. RESULTS: On average, the patients with COVID-19 were older than were those without (mean age, 54.8 years vs. 45.5 years; p = 0.031). The most common CT finding (seen in 88.6%) was ground-glass opacity, which correlated significantly with a diagnosis of COVID-19 (p = 0.0001). The CT findings that correlated most strongly with the need for mechanical ventilation were parenchymal bands (p = 0.013), bronchial ectasia (p = 0.046), and peribronchovascular consolidations (p = 0.012). The presence of one or more comorbidities correlated significantly with more extensive parenchymal involvement (p = 0.023). For the diagnosis of COVID-19, CT had a sensitivity of 84.3%, a specificity of 36.7%, and an accuracy of 73.5% (p = 0.012 vs. PCR). CONCLUSION: The patterns of CT findings are useful for the diagnosis of COVID-19 and the evaluation of disease severity criteria. The presence of any comorbidity is associated with greater severity of COVID-19.
Authors: Safiya Richardson; Jamie S Hirsch; Mangala Narasimhan; James M Crawford; Thomas McGinn; Karina W Davidson; Douglas P Barnaby; Lance B Becker; John D Chelico; Stuart L Cohen; Jennifer Cookingham; Kevin Coppa; Michael A Diefenbach; Andrew J Dominello; Joan Duer-Hefele; Louise Falzon; Jordan Gitlin; Negin Hajizadeh; Tiffany G Harvin; David A Hirschwerk; Eun Ji Kim; Zachary M Kozel; Lyndonna M Marrast; Jazmin N Mogavero; Gabrielle A Osorio; Michael Qiu; Theodoros P Zanos Journal: JAMA Date: 2020-05-26 Impact factor: 56.272
Authors: Constantine A Raptis; Mark M Hammer; Ryan G Short; Amar Shah; Sanjeev Bhalla; Andrew J Bierhals; Peter D Filev; Michael D Hope; Jean Jeudy; Seth J Kligerman; Travis S Henry Journal: AJR Am J Roentgenol Date: 2020-04-16 Impact factor: 3.959
Authors: Roberto Mogami; Ronaldo Carvalho Araújo Filho; Carolina Gianella Cobo Chantong; Fernando Carlos Santos de Almeida; Ana Célia Baptista Koifman; Gustavo Federico Jauregui; Thiago Thomaz Mafort; Hanna da Silva Bessa da Costa; Glenda Aparecida Peres Dos Santos; Bruna Zangerolame de Carvalho; Gabriel da Silva Passos; Erick de Souza Barbosa; Angelo Thomaz Abalada Ghetti; Laura Braga Monnerat; Mariana Soares da Cal; Desiree Louise Souza Santos Batista; Helen Aksenow Affonso; Gabriel Oliveira Bousquet; Jose Ignacio Marenco Avila; Anna Luiza Bento Dutra; Caio Leal Leidersnaider; Alexandre Malta da Costa Messeder; Alexandra Monteiro; Agnaldo José Lopes Journal: Radiol Res Pract Date: 2022-05-05
Authors: Marc Miravitlles; Myriam Calle; Jesús Molina; Pere Almagro; José-Tomás Gómez; Juan Antonio Trigueros; Borja G Cosío; Ciro Casanova; José Luis López-Campos; Juan Antonio Riesco; Pere Simonet; David Rigau; Joan B Soriano; Julio Ancochea; Juan José Soler-Cataluña Journal: Arch Bronconeumol Date: 2021-03-17 Impact factor: 6.333