Insights into Imaging | |
Prevalence and risk factors for lung involvement on low-dose chest CT (LDCT) in a paucisymptomatic population of 247 patients affected by COVID-19 | |
Julie Finance1  Philippe Brouqui2  Jean-Christophe Lagier2  Matthieu Million2  Didier Raoult2  Sebastien Cortaredona3  Philippe Parola3  Maxime Castelli4  Michael Dassa4  Baptiste Marchi4  Arnaud Maurin4  Jean-Yves Gaubert5  Paul Habert5  Axel Bartoli6  Alexis Jacquier6  | |
[1] IHU-Méditerranée Infection, Marseille, France;IHU-Méditerranée Infection, Marseille, France;IRD, APHM, Aix Marseille Univ, MEPHI, Marseille, France;IHU-Méditerranée Infection, Marseille, France;IRD, APHM, Aix Marseille Univ, VITROME, Marseille, SSA, France;Radiology Department, La Timone Hospital, Assistance Publique Des Hôpitaux de Marseille, 264 Rue Saint Pierre, 13005, Marseille 05, France;Radiology Department, La Timone Hospital, Assistance Publique Des Hôpitaux de Marseille, 264 Rue Saint Pierre, 13005, Marseille 05, France;LIIE, Aix Marseille Univ, Marseille, France;CERIMED, Aix Marseille Univ, Marseille, France;Radiology Department, La Timone Hospital, Assistance Publique Des Hôpitaux de Marseille, 264 Rue Saint Pierre, 13005, Marseille 05, France;UMR 7339, CNRS, CRMBM-CEMEREM (Centre de Résonance Magnétique Biologique et Médicale – Centre d’Exploration Métaboliques par Résonance Magnétique), Assistance Publique - Hôpitaux de Marseille, Aix-Marseille Université, 13385, Marseille, France; | |
关键词: COVID-19; Tomography; X-ray computed; Quantitative evaluation; Pneumonia; | |
DOI : 10.1186/s13244-020-00939-7 | |
来源: Springer | |
【 摘 要 】
BackgroundLow-dose chest CT (LDCT) showed high sensitivity and ability to quantify lung involvement of COVID-19 pneumopathy. The aim of this study was to describe the prevalence and risk factors for lung involvement in 247 patients with a visual score and assess the prevalence of incidental findings.MethodsFor 12 days in March 2020, 250 patients with RT-PCR positive tests and who underwent LDCT were prospectively included. Clinical and imaging findings were recorded. The extent of lung involvement was quantified using a score ranging from 0 to 40. A logistic regression model was used to explore factors associated with a score ≥ 10.ResultsA total of 247 patients were analyzed; 138 (54%) showed lung involvement. The mean score was 4.5 ± 6.5, and the mean score for patients with lung involvement was 8.1 ± 6.8 [1–31]. The mean age was 43 ± 15 years, with 121 males (48%) and 17 asymptomatic patients (7%). Multivariate analysis showed that age > 54 years (odds ratio 4.4[2.0–9.6] p < 0.001) and diabetes (4.7[1.0–22.1] p = 0.049) were risk factors for a score ≥ 10. Multivariate analysis including symptoms showed that only age > 54 years (4.1[1.7–10.0] p = 0.002) was a risk factor for a score ≥ 10. Rhinitis (0.3[0.1–0.7] p = 0.005) and anosmia (0.3[0.1–0.9] p = 0.043) were protective against lung involvement. Incidental imaging findings were found in 19% of patients, with a need for follow-up in 0.6%.ConclusionThe prevalence of lung involvement was 54% in a predominantly paucisymptomatic population. Age ≥ 55 years and diabetes were risk factors for significant parenchymal lung involvement. Rhinitis and anosmia were protective against LDCT abnormalities.
【 授权许可】
CC BY
【 预 览 】
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