International Journal of Radiation Research
نشریه پرتو پژوه
Int J Radiat Res
Basic Sciences
http://ijrr.com
79
journal79
2322-3243
2345-4229
10.61186/ijrr
en
jalali
1402
1
1
gregorian
2023
4
1
21
2
online
1
fulltext
en
Clincal and chest computed tomography characteristics from 58 Patients with COVID-19 pneumonia and correlations with disease length and severity
Radiation Biology
Radiation Biology
تحقيق بديع
Original Research
<div style="text-align: justify;"><span style="font-size:10pt"><span style="text-justify:newspaper"><span style="text-kashida-space:50%"><span style="line-height:119%"><span style="font-family:Calibri"><span style="color:black"><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Background</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-US">This study aimed to review computed tomography (CT) findings in COVID-19 patients, and establish correlations between CT findings in patients with a short vs. long disease course, and in those with mild vs. severe disease. </span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Materials and Methods</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-US">From February 2020 to March 2020, 58 patients with SARS-CoV-2 infections were retrospectively included. Clinical, laboratory, and CT findings were compared between patients with a short vs. long disease course, and in subgroups with mild vs. severe disease. Correlation analyses were performed to determine factors correlated to greater disease severity in patients with short/long disease courses, respectively. </span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Results</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-US">Fifty-eight patients were included; 29 in the short disease course and 29 in the long disease course group. CT findings were similar between patients with a short and a long disease course (all, P > 0.05). Among the short disease course group, severe disease patients had significantly higher rates of right upper lobe involvement, 5 lobes affected, pericardial effusion, pleural involvement and bilateral pleural thickening, grid shadow, higher-density vascular shadows, crazy-paving appearance, lung consolidation, an air bronchogram sign, and fibrous foci than those with mild disease. Among the long disease course group, severe disease patients had significantly higher rates of right upper lobe and middle lobe involvement, 5 lobes affected, pleural effusion and thickening, grid shadow, higher-density vascular shadows, crazy-paving appearance, lung consolidation, an air bronchogram sign, and atelectasis. </span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Conclusions</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-US">CT imaging findings may </span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-US">help to predict disease severity in COVID-19.</span></span></span></span></span></span></span></span></span></span></div>
SARS-CoV-2,chest CT, Covid-19, disease severity, outcomes.
281
291
http://ijrr.com/browse.php?a_code=A-10-1-1040&slc_lang=en&sid=1
W.
Li
liwenjuan@mail.sysu.edu.cn
7900319475328460023728
7900319475328460023728
Yes
Department of Pulmonary and Critical Care Medicine, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
Y.
Zhou
7900319475328460023729
7900319475328460023729
No
Department of Pulmonary and Critical Care Medicine, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China