scholarly journals Examination of clinical conditions and chest CT images of Covid-19 cases in Turkey; single center study

2021 ◽  
Vol 21 (4) ◽  
pp. 1546-57
Author(s):  
Metin Ocak ◽  
Nur Şimşek Yurt ◽  
Yusuf Can Yurt

Background: In this study, we aim to study the clinical features and chest CT findings of the patients, COVID-19 diagnosis of which are verified. Methods: This retrospective study was conducted on RT-PCR (+) COVID-19 patients who were examined in our hospital's emergency department between March 11, 2020 and June 30, 2020. Results: 326 patients were included in this retrospective study in total. Of the patients, 53.1% and 46.9% are males and females, respectively. The patients applied to the service with the symptoms of shortness of breath at the rate of 21.8% and cough at the rate of 20.6%. The study found that the most frequent abnormal CT finding is ground glass opacity at the rate of 26.7% and it is followed by atelectasis at the rate of 12.3%. Patients in the> 65 age group and patients with COPD comorbidities have significantly higher rates of admission to the intensive care unit. Conclusions: The most frequent findings in examination of pathological chest CT findings are ground glass opacity. The rate of length of intensive care unit stay and mortality is significantly higher in the patients above 65 years old compared to those below 65 years old. Keywords: COVID-19; SARS-CoV-2; Chest CT; Ground Glass Opacity; Dyspnea; Cough

2020 ◽  
pp. 1-7

Objective: To study the dynamic changes in CT findings in COVID-19 (coronavirus disease-19, COVID-19) rehabilitated patients. Methods: A total of 148 chest CT images of 37 patients with COVID-19 were collected. In the first 21 days of the course of disease, 7 stages were performed every 3 days, and the eighth stage was performed after 21 days. Results: In the first chest CT examination, 19 cases were ground glass opacity, and 18 cases were high-density shadows with consolidation. The lesion shape was flaky and patchy in 33 cases. The percentage of consolidation, air bronchogram, fiber cord, interlobular septal thickening, subpleural line and pleural thickening were the highest on days 4-6, 7-9, 7-9, 10-12, 19-21 and 19-21, respectively. The highest percentage of disease progression was 80.00% on days 4-6, and then the percentage of disease progression gradually decreased with the extension of the onset time. The percentage of patients with improvement gradually increased from days 4-6, reaching 83.33% on days 16-18 and 100.00% on day 21. The percentage of lesion range enlargement and density increase was the highest on days 4-6, both of which were 60.00%,Then the percentage of both decreased gradually. The percentage of patients with lesion range reduction and density absorption dilution increased gradually with the onset time. There was no obvious regularity in the number of lesions. Conclusion: Patients with COVID-19 have regular changes in their lung conditions.


2020 ◽  
Vol 15 (5) ◽  
Author(s):  
Pinar Diydem Yilmaz ◽  
Cengiz Kadiyoran ◽  
Suleyman Bakdik ◽  
Necdet Poyraz ◽  
Hulya Vatansev

Background: Novel coronavirus disease (COVID-19) pneumonia is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is highly contagious and threatens human health. Chest computed tomography (CT) is an accurate imaging modality for diagnosis and follow-up. Objectives: To investigate early CT features of COVID-19 pneumonia. Methods: Retrospective study. Sixty-three patients with COVID-19 pneumonia (28 men, 35 women; age range, 21 - 85 years; mean, 59 years) confirmed by reverse transcription-polymerase chain reaction (RT-PCR) were enrolled in this retrospective study and CT findings were evaluated. Patients were classified into three groups for estimating COVID-19 pneumonia, according to CT features. Results: Nineteen (30%) patients classified as out of COVID-19 pneumonia had normal CT findings. Twenty-eight (44%) patients, classified as highly suggestive for COVID-19 pneumonia, had typical findings for COVID-19 pneumonia. In highly suggestive for COVID-19 pneumonia group most common CT features were peripheral (64%), multilobar (96%), patchy, and round (54%) ground-glass opacity (GGO) (57%). Air bronchogram (93%), crazy-paving patterns (79%), and vascular thickening (61%) were the most common special findings. We only detected these rare findings such as halo sign, reverse halo sign, lymphadenopathy, pleural and pericardial effusion, pleural thickening, and fibrotic lines in patients with COVID-19 with chronic diseases. Conclusions: The early CT findings are peripheral, multilobar, patchy, and round ground glass opacities accompanied by vascular thickening, crazy-paving pattern, or air bronchogram sign. Rare findings are only seen in the presence of concomitant diseases.


2021 ◽  
Vol 54 (1) ◽  
pp. 1-8
Author(s):  
Roberto Mogami ◽  
Agnaldo Jose Lopes ◽  
Ronaldo Carvalho Araújo Filho ◽  
Fernando Carlos Santos de Almeida ◽  
Alexandre Malta da Costa Messeder ◽  
...  

Abstract 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.


2021 ◽  
Vol 104 (5) ◽  
pp. 866-871

Background: Recent evidence has demonstrated the high sensitivity of chest computed tomography (CT) in coronavirus disease 2019 (COVID-19) case detection. However, considering the cost and infection control issues, the experience of chest CT for COVID-19 diagnosis in Thailand is still limited. Objective: To present the characteristics of chest CT findings in COVID-19 patients at Siriraj Hospital and compare them with other reports. Materials and Methods: The authors retrospectively reviewed the COVID-19 patients’ medical records between April and May 2020. All cases with the presence of chest CT performed during admission were recruited. Clinical data were retrieved from the patients’ medical records. All chest imaging results were reported by consensus between the authors. Results: From 103 cases, four cases with a chest CT scan during the admission were recruited. Consistent with previous reports, the common chest CT findings included a ground-glass opacity and consolidation with bilateral involvement. A round-shaped ground-glass opacity or consolidation was evidenced in half of the cases. The only case with the presence of chest CT scan, which was done 77 days after the onset of COVID-19 symptoms, revealed resolution of the abnormal findings. Conclusion: Chest CT findings in four COVID-19 cases at Siriraj Hospital are consistent with previous reports. Common findings include bilateral ground-glass opacity and consolidation. Keywords: COVID-19, SARS-CoV-2, Computed tomography, Case series


Author(s):  
Dan Wang ◽  
Yalei Shang ◽  
Yuehua Chen ◽  
Jianguo Xia ◽  
Weizhong Tian ◽  
...  

Background: Novel coronavirus disease 2019 (COVID-19) pneumonia remains a matter of concern. Chest CT findings of COVID-19 pneumonia have been reported widely, while there is relatively rare research on chest X-ray (CXR). Objective: The study was aimed to compare the CXR and chest CT findings of patients with confirmed COVID-19 infection and to explore their respective clinical values. Methods: 28 inpatients with COVID-19 pneumonia who underwent both CXR and CT were included. The pulmonary manifestations of the lesions were recorded. Ground-glass opacity (GGO), consolidation, and fibrosis were quantified in CXR and chest CT separately. Consistency was analyzed using Fleiss' kappa and intraclass correlation coefficient. The stages of the disease in CXR and chest CT were evaluated. Results: Approximately 67.9% (19/28) of subjects had abnormal findings on CXR. The common manifestations in CXR were ground-glass opacities (GGO) (100%, 19/19) and consolidation (68.4%, 13/19). 92.9% (26/28) of patients had abnormal manifestations on CT. The common manifestations in CT were GGO (88.5%, 23/26), consolidation (69.2%, 18/26), reticular opacity (69.2%, 18/26) and nodule (46.2%, 12/26). Among the abnormalities between CXR and CT, only consolidation was consistent (κ=0.510). GGO (ICC=0.501) and consolidation (ICC=0.431) scores were consistent in CXR and chest CT. The results of staging were the same in 14 cases, most of them were in stage I and stage II. While in other cases with inconsistent results, CT was more advanced in the disease stage than CXR, mainly stage III and stage IV. Conclusion: CXR is helpful to observe the change of the pulmonary lesions in patients with confirmed COVID-19 pneumonia. CT can be used for early diagnosis and staging of lesions.


2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Ephrem Awulachew ◽  
Kuma Diriba ◽  
Asrat Anja ◽  
Eyob Getu ◽  
Firehiwot Belayneh

Introduction. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly contagious disease, and its first outbreak was reported in Wuhan, China. A coronavirus disease (COVID-19) causes severe respiratory distress (ARDS). Due to the primary involvement of the respiratory system, chest CT is strongly recommended in suspected COVID-19 cases, for both initial evaluation and follow-up. Objective. The aim of this review was to systematically analyze the existing literature on CT imaging features of patients with COVID-19 pneumonia. Methods. A systematic search was conducted on PubMed, Embase, Cochrane Library, Open Access Journals (OAJ), and Google Scholar databases until April 15, 2020. All articles with a report of CT findings in COVID-19 patients published in English from the onset of COVID-19 outbreak to April 20, 2020, were included in the study. Result. From a total of 5041 COVID-19-infected patients, about 98% (4940/5041) had abnormalities in chest CT, while about 2% have normal chest CT findings. Among COVID-19 patients with abnormal chest CT findings, 80% (3952/4940) had bilateral lung involvement. Ground-glass opacity (GGO) and mixed GGO with consolidation were observed in 2482 (65%) and 768 (18%) patients, respectively. Consolidations were detected in 1259 (22%) patients with COVID-19 pneumonia. CT images also showed interlobular septal thickening in about 691 (27%) patients. Conclusion. Frequent involvement of bilateral lung infections, ground-glass opacities, consolidation, crazy paving pattern, air bronchogram signs, and intralobular septal thickening were common CT imaging features of patients with COVID-19 pneumonia.


Author(s):  
Yasemin Gunduz ◽  
Alper Karacan ◽  
Oguz Karabay ◽  
Ali Fuat Erdem ◽  
Osman Kindir ◽  
...  

Aim: Initial chest CT findings of patients were compared by grouping them according to the clinical outcome of the infection and those which could predict clinical outcome, prognosis and mortality were investigated. Background: Published studies on chest CT in COVID-19 infection do not go beyond describing the characteristics of the current period. Nevertheless, comparative analysis of chest CT findings on hospital admission among patients in different clinical outcomes is scarce. Objective: 198 consecutive symptomatic patients with COVID-19 infection confirmed by positive polymerase chain reaction (PCR) and who had undergone chest CT were enrolled in this retrospective study. Method: According to their clinical outcomes, we divided them (n:98) into 3 groups. Group 1 (n: 62) involved patients discharged from the service, group 2 (n: 60) included patients hospitalized in the intensive care unit, and group 3 (n: 76) comprised patients who died despite any treatment. Method: According to their clinical outcomes, we divided them (n:98) into 3 groups. Group 1 (n: 62) involved patients discharged from the service, group 2 (n: 60) included patients hospitalized in the intensive care unit, and group 3 (n: 76) comprised patients who died despite any treatment. Results: Clinical characteristics involving age, dyspnea, hypertension, and chest CT findings of mediastinal lymphadenopathy, pleural effusion, and pericardial effusion, were determined as poor prognosis and mortality predictors, and halo sign in chest CT finding was a good prognosis predictor in multivariate analysis. Conclusion: It was seen that some CT findings were significantly correlated to the patients' endpoints, such as discharge, hospitalization in the intensive care unit, and as a worst consequence, death. These findings support the role of CT imaging for potentially predicting the clinical outcomes of these patients with COVID-19.


2020 ◽  
Author(s):  
Tianhe Ye ◽  
Yanqing Fan ◽  
Jiacheng Liu ◽  
Chongtu Yang ◽  
Songjiang Huang ◽  
...  

Abstract Background: Chest computed tomography (CT) has been used to be a monitoring measure to assess the severity of lung abnormalities in corona virus disease 19 (COVID-19). Up to date, there has been no reports about follow-up chest CT findings from discharge patients with severe COVID-19. This study aims to describe the change pattern of radiological abnormalities from admission, to discharge, and to the last chest CT follow-up through an 83-day retrospective observation, and focuses on follow-up chest CT findings in discharged patients with severe COVID-19.Methods: Twenty-nine discharged patients (17 males, 12 females; median age, 56 years, IQR, 47-67) confirmed with severe COVID-19 from 13 January to 15 February were enrolled in this study. A total of 80 chest CT scans was performed from admission to the last follow-up. Images were mainly evaluated for ground-glass opacity, consolidation, parenchymal bands, and crazy-paving pattern. A semi-quantitative CT scoring system was used for estimating lung abnormalities of each lobe.Results: All patients received nasal cannula or/and high-flow mask oxygen therapy. Admission occurred 9 days (IQR, 5-13) after symptom onset. The median in-hospital period was 18 days (IQR, 11-26). The last follow-up chest CT was performed 66 days (IQR, 61-77) after symptom onset. Total CT scores in follow-up decreased significantly compared to that of performed in-hospital ([3, IQR, 0-5] to [13, IQR, 10-16], P < 0.001). Predominant patterns on follow-up chest CT performed 64 days after symptom onset were subpleural parenchymal bands (47%, 9/19) and complete radiological resolution (37%, 7/19). Consolidation absorbed earlier than ground-glass opacity did, and subpleural parenchymal bands were the longest-lasting feature during radiological resolution.Conclusions: Radiological abnormalities in patients of severe COVID-19 could be completely absorbed with no residual lung injury in more than two months’ follow-up. Serial chest CT scans could be used as a monitoring modality to help clinician better understand the disease course.


2021 ◽  
Vol 65 ◽  
pp. 282-291
Author(s):  
Jean-Maxime Côté ◽  
Josée Bouchard ◽  
Patrick T. Murray ◽  
William Beaubien-Souligny

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