Prevalence and risk factors for lung involvement on low-dose chest CT (LDCT) in a paucisymptomatic population of 247 patients affected by COVID-19

Insights into Imaging

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