scholarly journals The Clinical Manifestations and Chest Computed Tomography Findings of Coronavirus Disease 2019 (COVID-19) Patients in China: A Proportion Meta-Analysis

2020 ◽  
Vol 13 (2) ◽  
pp. 95-105 ◽  
Author(s):  
Joo-Hyun Park ◽  
Wook Jang ◽  
Sang-Woo Kim ◽  
Jeongjun Lee ◽  
Yun-Sung Lim ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Clinical Features ◽  
Respiratory Infection ◽  
Meta Analysis ◽  
Clinical Manifestations ◽  
Chest Ct ◽  
Common Symptom ◽  
Chest Computed Tomography ◽  
Screening Programs ◽  
Ct Findings

Objectives. The objectives of this study were to identify the clinical features and chest computed tomography (CT) findings of coronavirus disease 2019 (COVID-19) patients and to compare the characteristics of patients diagnosed in Wuhan and in other areas of China by integrating the findings reported in previous studies.Methods. We conducted a proportion meta-analysis to integrate the results of previous studies identified in online databases, and subsequently compared the overlapping of 95% confidence intervals (CIs) between locations of diagnosis. The heterogeneity of the results of the included studies was also demonstrated.Results. Nine studies with level IV evidence were considered to be eligible for the meta-analysis, and a comparative analysis was only possible between patients diagnosed in Wuhan and outside of Wuhan in China. Fever (84.8%; 95% CI, 78.5% to 90.1%) was identified as the most common clinical manifestation in all COVID-19 patients, and signs of respiratory infection were also frequently present in these patients. When comparing the clinical features according to the location of diagnosis, fever and dyspnea were less frequent in patients diagnosed outside of Wuhan (fever: 78.1%; 95% CI, 73.2% to 82.7%; dyspnea: 3.80%; 95% CI, 0.13% to 12.22%) than in patients diagnosed in Wuhan (fever: 91.7%; 95% CI, 88.0% to 94.8%; dyspnea: 21.1%; 95% CI, 13.2% to 30.3%). The chest CT findings exhibited no significant differences between the groups.Conclusion. Fever was found to be the most common symptom in COVID-19, and respiratory infection signs were also commonly present. Fever and dyspnea were less frequently observed in the patients diagnosed outside of Wuhan, which should be considered in COVID-19 screening programs. These results may be attributable to the earlier diagnosis of the disease and the younger age of patients outside of Wuhan although further analysis is needed. The role of chest CT in COVID-19 diagnosis is inconclusive based on this study.

scholarly journals Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1023
Author(s):  
Temitope Emmanuel Komolafe ◽  
John Agbo ◽  
Ebenezer Obaloluwa Olaniyi ◽  
Kayode Komolafe ◽  
Xiaodong Yang
Keyword(s):  
Computed Tomography ◽  
Meta Analysis ◽  
Age Groups ◽  
Disease Prevalence ◽  
Chest Ct ◽  
Imaging Features ◽  
Rt Pcr ◽  
Chest Computed Tomography ◽  
Pooled Prevalence ◽  
History Of

Background: The pooled prevalence of chest computed tomography (CT) abnormalities and other detailed analysis related to patients’ biodata like gender and different age groups have not been previously described for patients with coronavirus disease 2019 (COVID-19), thus necessitating this study. Objectives: To perform a meta-analysis to evaluate the diagnostic performance of chest CT, common CT morphological abnormalities, disease prevalence, biodata information, and gender prevalence of patients. Methods: Studies were identified by searching PubMed and Science Direct libraries from 1 January 2020 to 30 April 2020. Pooled CT positive rate of COVID-19 and RT-PCR, CT-imaging features, history of exposure, and biodata information were estimated using the quality effect (QE) model. Results: Out of 36 studies included, the sensitivity was 89% (95% CI: 80–96%) and 98% (95% CI: 90–100%) for chest CT and reverse transcription-polymerase chain reaction (RT-PCR), respectively. The pooled prevalence across lesion distribution were 72% (95% CI: 62–80%), 92% (95% CI: 84–97%) for lung lobe, 88% (95% CI: 81–93%) for patients with history of exposure, and 91% (95% CI: 85–96%) for patients with all categories of symptoms. Seventy-six percent (95% CI: 67–83%) had age distribution across four age groups, while the pooled prevalence was higher in the male with 54% (95% CI: 50–57%) and 46% (95% CI: 43–50%) in the female. Conclusions: The sensitivity of RT-PCR was higher than chest CT, and disease prevalence appears relatively higher in the elderly and males than children and females, respectively.

scholarly journals Amiodarone-induced pulmonary toxicity

2011 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Junichi Ochi ◽  
Minoru Ohkouchi ◽  
Yoshikazu Tsukada ◽  
Shinichiro Tominaga ◽  
Satoshi Takayama ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Medical Records ◽  
Lung Biopsy ◽  
Pulmonary Toxicity ◽  
Ground Glass Opacity ◽  
Chest Ct ◽  
Chest Computed Tomography ◽  
Ct Findings ◽  
The Mean ◽  
Foamy Macrophages

Amiodarone-induced pulmonary toxicity is a critical and potentially fatal side effect of amiodarone. Our study was designed to reveal its clinical features, including KL-6, as an interstitial marker. The medical records of eight patients (five men and three women) with amiodarone-induced pulmonary toxicity, who had been referred to our hospital, were examined. The mean age at the initiation of amiodarone was 48 years (range, 54-87 years) and mean duration of medication prior to the development of pulmonary toxicity was 18 months (range, 7-33 months). Serum KL-6 was elevated in six of the eight patients with a range of 525-2915 U/mL. Chest computed tomography (CT) findings showed non-segmental consolidation and/or ground glass opacity. Foamy macrophages were found in bronchoalveolar lavage (BAL) fluids of all examined patients and in transbronchial lung biopsy (TBLB) specimens in half of the examined patients. We concluded that serum KL-6, chest CT findings, and foamy macrophages in BAL fluids and TBLB specimens will be helpful for the diagnosis of amiodarone-induced pulmonary toxicity.

Chest Computed Tomography Findings in a Case Series of Coronavirus Disease 2019 (COVID-19) Patients at Siriraj Hospital

2021 ◽  
Vol 104 (5) ◽  
pp. 866-871
Keyword(s):  
Computed Tomography ◽  
Medical Records ◽  
Case Series ◽  
Ground Glass Opacity ◽  
Chest Ct ◽  
Ground Glass ◽  
Chest Computed Tomography ◽  
Ct Findings ◽  
Siriraj Hospital ◽  
Chest Ct Scan

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

scholarly journals Chest CT versus RT-PCR for the Detection of COVID-19: Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Mohammad Karam ◽  
Sulaiman Althuwaikh ◽  
Mohammad Alazemi ◽  
Ahmad Abul ◽  
Amrit Hayre ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systematic Review ◽  
Polymerase Chain Reaction ◽  
Meta Analysis ◽  
False Negative ◽  
Chest Ct ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Chest Computed Tomography ◽  
Polymerase Chain

AbstractPurposeTo compare the performance of chest computed tomography (CT) scan versus reverse transcription polymerase chain reaction (RT-PCR) in the initial diagnostic assessment of coronavirus disease 2019 (COVID-19) patients.MethodsA systematic review and meta-analysis were performed as per the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. A search of electronic information was conducted to identify all relevant studies comparing the diagnostic performance of chest CT scan versus RT-PCR in COVID-19 suspected cases. Sensitivity, specificity and accuracy were primary outcome measures. Secondary outcome measures included other test performance characteristics, discrepant findings between both investigations and main chest CT findings. Random effects modelling was used for the analyses.ResultsEight non-randomised retrospective studies enrolling 1910 patients were identified. Chest CT was more sensitive but less specific than RT-PCR. Accuracy was not statistically significantly different between chest CT and RT-PCR for the identification and exclusion of COVID-19 cases (Odds Ratio [OR] = 0.40, P = 0.15) in the context of hospitalised patients in a pandemic. Chest CT was shown to detect patients with false-negative RT-PCR results and true positives. Ground-glass opacities and consolidations were the most common chest CT manifestations.ConclusionsChest CT is not superior to RT-PCR for the initial detection of COVID-19 and has more false positives. It is likely to be useful in confirming COVID-19 in patients with a suspicious clinical presentation, but who have a false-negative SARS-CoV-2 RT-PCR test.Key Points‐Chest computed tomography (CT) is more sensitive but less specific in detecting and excluding coronavirus disease 2019 (COVID-19) when compared to reverse transcription polymerase chain reaction (RT-PCR).‐Accuracy of chest CT is not significantly different from RT-PCR for COVID-19 cases.‐Chest CT can detect false-negative and true-positive RT-PCR cases.

scholarly journals Accuracy of chest computed tomography and reverse transcription polymerase chain reaction in diagnosis of 2019 novel coronavirus disease; a systematic review and meta-analysis

2021 ◽  
Vol 7 (2) ◽  
pp. e36-e36
Author(s):  
Kamyar Shokraee ◽  
Hossein Mahdavi ◽  
Parsa Panahi ◽  
Farnoosh Seirafianpour ◽  
Amir Mohammad Jahromizadeh ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systematic Review ◽  
Polymerase Chain Reaction ◽  
Reverse Transcription ◽  
Meta Analysis ◽  
Chest Ct ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Chest Computed Tomography ◽  
Polymerase Chain

Introduction: This study aims to measure the diagnostic accuracy of chest computed tomography (CT) and reverse transcription polymerase chain reaction assay (RT-PCR) in COVID-19 in a systematic review and meta-analysis. Methods: PubMed, Scopus, Embase, and Google Scholar, WHO, SSRN, and MedRxiv have been searched on March 26, 2020 for all the alternative names of the disease and virus. Risk of bias assessment was based on QUADAS-2. Data from English-language studies after January 12, 2019 were pooled to calculate necessary diagnostic values and underwent diagnostic test accuracy, random-effects, proportions, and subgroup meta-analysis. Results: Pooled from 27 included studies, the sensitivity of chest CT was calculated 96.6%, specificity 22.5%, diagnostic odds ratio (DOR) 8.2, positive likelihood ratio (PLR) 1.2 (95% CI: 1.1-1.4), and negative likelihood ratio (NLR) 0.15 (95% CI: 0.1-0.3). The sensitivity for initial RT-PCR was 79.7%, the specificity 100%, and NLR 0.18. Conclusion: Considering the results, in order to diagnose COVID-19 (coronavirus disease 2019), it is recommended to initially performing chest CT to rule out the uninfected people. In suspicious cases, we suggest RT-PCR to confirm the disease. Performing serial RT-PCR instead of the one-time test is highly recommended, to let the viral loads reach the diagnostic levels, especially in cases of high clinical suspicion.

scholarly journals The Effect of Chest Computed Tomography Findings on QT Interval in Patients with COVID 19 Using Drugs That May Prolong QT Interval

2021 ◽  
Author(s):  
Ferhat Özyurtlu ◽  
Nurullah Cetin ◽  
Veysel Yavuz
Keyword(s):  
Computed Tomography ◽  
Heart Rate ◽  
Qt Interval ◽  
Chest Ct ◽  
Qtc Interval ◽  
Interval Prolongation ◽  
Chest Computed Tomography ◽  
Qt Interval Prolongation ◽  
Ct Findings ◽  
Low Sensitivity

Background Some drugs used in the treatment of coronavirus disease 2019 (COVID-19) are likely to increase the risk of QT interval prolongation and related arrhythmias or death. Due to the low sensitivity of the reverse transcriptase-polymerase chain reaction (RT-PCR) test, chest computed tomography (CT) imaging is being used for COVID-19 diagnostic correlation and to evaluate whether there is pneumonic involvement in the lung. Objective In this study, we aimed to compare whether there was a difference in terms of QT interval prolongation and effect on heart rate in COVID-19 patients based on their chest CT findings and drug treatment regimes. Methods This was a single-center retrospective cohort study of non-intensive care unit (ICU) patients hospitalized . A total of 344 patients with a mean age of 46.34 ± 17.68 years were included in the study (56.1% men). Patients were divided into four groups according to their chest CT results as having typical, atypical, indeterminate, or no finding of pneumonic involvement. Mean QTc intervals and heart rates calculated from electrocardiograms at admission and after treatment were compared. Results There were no significant differences between groups with regards to age, gender, and body mass index (BMI). There were also no significant differences between the groups in terms of mean QTc interval values upon admission (p:0.127) or after treatment (p:0.205). Heart rate values were similar among the groups as well, with no significant differences in mean heart rate on admission (p:0.648) and post-treatment (p:0.229) ECGs. Conclusion This study has demonstrated finding of COVID-19 infection based on chest CT does not affect QT interval prolongation and bradycardia in non-ICU COVID-19 patients. There is a need for additional larger studies investigating the effect of chest CT findings on QT interval prolongation and bradycardia in COVID-19 patients.

Comparisons of chest computed tomography patterns between survivors and non-survivors with Coronavirus Disease 2019 (COVID-19): a case-control study

2020 ◽  
Author(s):  
Feng Pan ◽  
Chuansheng Zheng ◽  
Tianhe Ye ◽  
Lingli Li ◽  
Dehan Liu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Case Control Study ◽  
Case Control ◽  
Chest Ct ◽  
Curve Estimation ◽  
Chest Computed Tomography ◽  
Male Ratio ◽  
Survivor Group ◽  
Ct Findings ◽  
Control Study

Abstract Objectives To compare the chest computed tomography (CT) findings between survivors and non-survivors with Coronavirus Disease 2019 (COVID-19).Materials and Methods Between 12 January 2020 to 20 February 2020, the records of 124 consecutive patients diagnosed with COVID-19 were retrospectively reviewed and divided into survivor (83/124) and non-survivor (41/124) groups. Chest CT findings were qualitatively compared on admission and serial chest CT scans were semi-quantitively evaluated between two groups using curve estimations.Results Elder age (median: 69 vs. 43y, p<0.001), higher male ratio (31/41 vs. 32/83, p<0.001), and more comorbidities were observed in non-survivor group. On admission, significantly more bilateral (97.6% vs. 73.5%, p=0.005) and diffuse lesions (39.0% vs. 8.4%, p<0.001) with higher total CT score (median: 10 vs. 4) were observed in non-survivor group compared with survivor group. Besides, crazy-paving pattern was more predominant in non- survivor group than survivor group (39.0% vs. 12.0%, p=0.004). From the prediction of curve estimation, in survivor group total CT score increased in the first 20 days reaching the peak of 6 points and then gradual decreased for more than other 40 days (R2=0.545, p<0.001). In non- survivor group, total CT score rapidly increased over 10 points in the first 10 days and gradually increased afterwards until ARDS occurred with following death events (R2=0.711, p<0.001).Conclusions Persistent progression with predominant crazy-paving pattern was the major manifestation of COVID-19 in non-survivors. Understanding this CT feature could help the clinical physician to predict the prognosis of the patients.

scholarly journals Chest computed tomography (CT) scan findings in patients with COVID-19: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Mohammad Karimian ◽  
Milad Azami
Keyword(s):  
Computed Tomography ◽  
Ct Scan ◽  
Meta Analysis ◽  
Lower Lobe ◽  
Chest Ct ◽  
Transformation Rule ◽  
Cochrane Library ◽  
Final Report ◽  
Chest Computed Tomography ◽  
Chest Ct Scan

AbstractObjectivesNumerous cases of pneumonia of caused by coronavirus disease 2019 (COVID-19) were reported in Wuhan, China. Chest computed tomography (CT) scan is highly important in the diagnosis and follow-up of lung disease treatment. The present meta-analysis was performed to evaluate chest CT findings in COVID-19 patients.Materials and MethodsAll research steps were taken according to the MOOSE protocol and the final report was based on PRISMA guidelines. Each stage of the study was conducted by two independent authors. We searched the Web of Science, Ovid, Science Direct, Scopus, EMBASE, PubMed/Medline, Cochrane Library, EBSCO, CINAHL and Google scholar databases. The search was conducted on March 20, 2020. Grey literature was searched at medrxiv website. All analyses were performed using Comprehensive Meta-Analysis. The adapted Newcastle Ottawa Scale was used to evaluate the risk of bias. We registered this review at PROSPERO (registration number: CRD42019127858).ResultsFinally, 40 eligible studies with 4,183 patients with COVID-19 were used for meta- analysis. The rate of positive chest CT scan in patients with COVID-19 was 94.5% (95%CI: 91.7-96.3). Bilateral lung involvement, pure ground-glass opacity (GGO), mixed (GGO pulse consolidation or reticular), consolidation, reticular, and presence of nodule findings in chest CT scan of COVID-19 pneumonia patients were respectively estimated to be 79.1% (95% CI: 70.8- 85.5), 64.9% (95%CI: 54.1-74.4), 49.2% (95%CI: 35.7-62.8), 30.3% (95%CI: 19.6-43.6), 17.0% (95%CI: 3.9-50.9) and 16.6% (95%CI: 13.6-20.2). The distribution of lung lesions in patients with COVID-19 pneumonia was peripheral (70.0% [95%CI: 57.8-79.9]), central (3.9% [95%CI: 1.4-10.6]), and peripheral and central (31.1% [95%CI: 19.5-45.8]). The most common pulmonary lobes involved were right lower lobe (86.5% [95%CI: 57.7-96.8]) and left lower lobe (81.0% [95%CI: 50.5-94.7]).ConclusionOur study showed that chest CT scan has little weakness in diagnosis of COVID-19 combined to personal history, clinical symptoms, and initial laboratory findings, and may therefore serve as a standard method for diagnosis of COVID-19 based on its features and transformation rule, before initial RT-PCR screening.

scholarly journals Correlation between age, sex, and severity of Coronavirus disease-19 based on chest computed tomography severity scoring system

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Shimaa Farghaly ◽  
Marwa Makboul
Keyword(s):  
Computed Tomography ◽  
Scoring System ◽  
Fatal Outcome ◽  
Age Groups ◽  
Significant Risk ◽  
Chest Ct ◽  
Age Group ◽  
Severity Scoring ◽  
Chest Computed Tomography ◽  
Severity Of The Disease

Abstract Background Coronavirus disease 2019 (COVID-19) is the most recent global health emergency; early diagnosis of COVID-19 is very important for rapid clinical interventions and patient isolation; chest computed tomography (CT) plays an important role in screening, diagnosis, and evaluating the progress of the disease. According to the results of different studies, due to high severity of the disease, clinicians should be aware of the different potential risk factors associated with the fatal outcome, so chest CT severity scoring system was designed for semi-quantitative assessment of the severity of lung disease in COVID-19 patients, ranking the pulmonary involvement on 25 points severity scale according to extent of lung abnormalities; this study aims to evaluate retrospectively the relationship between age and severity of COVID-19 in both sexes based on chest CT severity scoring system. Results Age group C (40–49 year) was the commonest age group that was affected by COVID-19 by 21.3%, while the least affected group was group F (≥ 70 years) by only 6.4%. As regards COVID-RADS classification, COVID-RADS-3 was the most commonly presented at both sexes in all different age groups. Total CT severity lung score had a positive strong significant correlation with the age of the patient (r = 0.64, P < 0.001). Also, a positive strong significant correlation was observed between CT severity lung score and age in both males and females (r = 0.59, P < 0.001) and (r = 0.69, P < 0.001) respectively. Conclusion We concluded that age can be considered as a significant risk factor for the severity of COVID-19 in both sexes. Also, CT can be used as a significant diagnostic tool for the diagnosis of COVID-19 and evaluation of the progression and severity of the disease.

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