Clinical Application of Chest Computed Tomography (CT) in Detection and Characterization of Coronavirus (Covid-19) Pneumonia in Adults.

To analyze diagnostic accuracy of chest computed tomography (CT) and RT-PCR (real-time polymerase chain reaction) for COVID-19 (coronavirus disease 19) pneumonia in early and progressive stages. To evaluate if combination of chest CT with RT-PCR can supplement the shortage of RT-PCR in diagnosis of COVID-19 pneumonia. We conducted a prospective study on 103 male patients. The study population were divided into two groups; early COVID-19 stage (number = 50 patients, with positive RT-PCR but mild symptoms) and progressive COVID-19 stage (number = 53, positive RT-PCR and sever symptoms including fever > 37.5 °C, cough, and shortness of breath). All patients underwent CT imaging. The early stage included typical category; 34% (17 out of 50 cases), 6% indeterminate category (3 cases), 10% atypical category (5 cases) and 50% (25 cases) were normal CT imaging. The progressive stage included typical category that was further divided to five subgroups; (i) peripheral bilateral lower lobe ground-glass opacity (GGO) in (37.7%), (ii) peripheral bilateral lower lobes GGO with peribronchovascular consolidation and bronchiolar dilatation in (18.8%), (iii) peripheral bilateral lower lobes GGO with crazy paving appearance in (15%), (iv) bilateral diffuse GGO in (18.8%), and (v) peripheral bilateral GGO with mediastinal lymph node enlargement (9.4%). Chest CT imaging could aid to supplement the shortages of PCR for clinically suspected patients of COVID-19 in the epidemic area as CT was positive in 50% of patients. Chest CT is very effective in detecting pulmonary parenchymal abnormalities in the progressive stage of COVID-19 patients in 100%.

Progression of Disease in COVID-19 Patients Evaluated by Chest CT Imgaing and Correlated with Clinical Parameters.

The objective of the study was to investigate and quantify the severity of COVID-19 infection by high resolution computed tomography (CT) of chest and to determine its relationship with clinical parameters. This study also aimed to see CT changes with clinical recovery or progression of disease. This cross sectional study was performed from July 20 to August 20, 2020, where both chest HRCT and clinical features were included in laboratory confirmed COVID-19, 100 patients, attending the depertment of Radiology & Imaging, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh. This study included clinical symptoms, comorbidities of patients, HRCT chest characteristics, CT severity score. After collection of all required data and careful medical chest review, the clinical data of laboratory confirmed patients was compiled and tabulated. In this study group out of 100 patients, most of the patients were in 5th & 6th dacades with a mean age of 53.7 years. In this study out of 100 patients 72% were male and 28% were female with an average sex ratio of male : female being 2.5:1. Prevalance of various clinical presentation in this study sample population distributed as fever in 76% cough in 77.4%, shortness of breath in 55%, sore throat in 17% were the most common clinical manifestations while a few patients (13.2%) also had other symptoms like headache, chest tightnes, anosmia and diarrhoea. Major comorbid conditions were diabets mellitus, hypertension, bronchial asthma and Chronic kidney disease (CKD). Patient with comorbid disease, especially if multiple had higher symptomatic presentation. Out of 100 patients 75.5% patient had co-morbidity where as 24.5% ptaients did not have any co-existing disease. According to HRCT imaging severity score the lung pathological changes were evaluated, when typical covid findings in 80%, intermediate in 10%, atypical in 2% and normal chest CT findings in 8% patients. Symptomatic presentation had found higher (85.21%) who had CT severity index >15/25 while sympotomatic presentation lesser (14.79%) who had CT severity index <15/25. CT severity index of 1-5 was seen in 20(21.73%) patients, 6-10 in 38(41.30%) patients, 11-15 in 22(23.91% patients, 16-20 in 10(10.86%) patients and 21-25 in 2(2.17%). As positive CT findings were more prominent in symptomatic and co-morbid patients HRCT chest in COVID-19 patient had a major diagnostic and prognostic importance. Clinical symptoms of patients directly correlated with CT severity score. Therefore, CT imaging was found to be useful in predicting clinical recovery of patient or progression of disease.

Case Report: Recurrence of Positive SARS-CoV-2 Results in Patients Recovered From COVID-19.

Background: Coronavirus disease 2019 (COVID-19) is spreading throughout the world. Limited data are available for recurrence of positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) results in patients with long duration of COVID-19. Methods: We reported four cases recovered from COVID-19 with recurrence of positive SARS-CoV-2 results during the long-term follow-up. Results: The four patients recovered from COVID-19 showed recurrence of positive SARS-CoV-2 results for more than 120 days with no symptoms and normal chest CT scan. Conclusions: The dynamic surveillance of SARS-CoV-2 by nucleic acid detection and serological assays is important for asymptomatic patients who might be potentially infectious.

Characterization of an Asymptomatic Cohort of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infected Individuals Outside of Wuhan, China.

PURPOSE: We aimed to further clarify the epidemiological and clinical characteristics of asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. METHODS: We identified close contacts of confirmed coronavirus disease 2019 (COVID-19) cases in northeast Chongqing, China, who were confirmed by real-time reverse transcription polymerase chain reaction-positive (RT-PCR+). We stratified this cohort by normal vs abnormal findings on chest computed tomography (CT) and compared the strata regarding comorbidities, demographics, laboratory findings, viral transmission and other factors. RESULTS: Between January 2020 and March 2020, we identified and hospitalized 279 RT-PCR+ contacts of COVID-19 patients. 63 (23%) remained asymptomatic until discharge; 29 had abnormal and 34 had normal chest CT findings. The mean cohort age was 39.3 years, and 87.3% had no comorbidities. Mean time to diagnosis after close contact with a COVID-19 index patient was 16.0 days, and it was 13.4 days and 18.7 days for those with abnormal and normal CT findings, respectively (P < .05). Nine patients (14.3%) transmitted the virus to others; 4 and 5 were in the abnormal and normal CT strata, respectively. The median length of time for nucleic acid to turn negative was 13 days compared with 10.4 days in those with normal chest CT scans (P < .05). CONCLUSIONS: A portion of asymptomatic individuals were capable of transmitting the virus to others. Given the frequency and potential infectiousness of asymptomatic infections, testing of traced contacts is essential. Studies of the impact of treatment of asymptomatic RT-PCR+ individuals on disease progression and transmission should be undertaken.

The Efficacy of Chest Computed Tomography in Pediatric Patients With Suspected COVID-19.

OBJECTIVE: The aim of the study was to investigate chest computed tomography (CT) findings and the value of CT in the diagnosis in children with suspected coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: Chest CT images of pediatric patients with suspected COVID-19 were retrospectively evaluated. Computed tomography findings were divided into 3 groups: normal, consistent, and inconsistent with COVID-19. The sensitivity and specificity of CT were calculated by reference to reverse transcriptase polymerase chain reaction. RESULTS: The study included patients with a mean age of 11.1 years (1 month-17 years). Of the patients, 43 (40.19%) had normal CT, 34 (31.77%) had CT findings consistent with COVID-19, and 30 (28.04%) had CT findings inconsistent with COVID-19. The sensitivity, specificity, positive predictive value, and negative predictive value of CT were 47.92%, 81.36%, 67.65%, and 65.75%, respectively. CONCLUSIONS: Because the sensitivity of CT in the pediatric age group is low, it should be used cautiously for the evaluation of COVID-19 in the pediatric age group.

Chest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome?

OBJECTIVE: To study the spectrum of chest CT features in coronavirus disease-19 (COVID-19) pneumonia and to identify the initial CT findings that may have the potential to predict a poor short-term outcome. METHODS: This was a retrospective study comprising 211 reverse transcriptase-polymerase chain reaction (RT-PCR) positive patients who had undergone non-contrast chest CT. Prevalence, extent, pattern, distribution and type of abnormal lung findings were recorded. Patients with positive CT findings were divided into two groups; clinically stable (requiring in-ward hospitalization) and clinically unstable [requiring intensive care unit (ICU) admission or demised] based on short-term follow-up. RESULTS: Lung parenchymal abnormalities were present in 42.2% (89/211) whereas 57.8% (122/211) cases had a normal chest CT. The mean age of clinically unstable patients (63.6 ± 8.3 years) was significantly different from the clinically stable group (44.6 ± 13.2 years) (p-value < 0.05). Bilaterality, combined involvement of central-peripheral and anteroposterior lung along with a higher percentage of the total lung involvement, presence of crazy paving, coalescent consolidations with air bronchogram and segmental pulmonary vessel enlargement were found in a significantly higher proportion of clinically unstable group (ICU/demised) compared to the stable group (in-ward hospitalization) with all p values < 0.05. CONCLUSION: Certain imaging findings on initial CT have the potential to predict short-term outcome in COVID-19 pneumonia. Extensive pulmonary abnormalities, evaluated by combined anteroposterior, central-peripheral and a higher percentage of the total lung involvement, indicate a poor short-term outcome. Similarly, the presence of crazy paving pattern, consolidation with air bronchogram and segmental vascular changes are also indicators of poor short-term outcome. ADVANCES IN KNOWLEDGE: Certain findings on initial CT can predict an adverse short-term prognosis in COVID-19 pneumonia.

Clinical progression and changes of chest CT findings among asymptomatic and pre-symptomatic patients with SARS-CoV-2 infection in Wuhan, China.

OBJECTIVES: To analyze characteristics of asymptomatic/pres-ymptomatic patients with SARS-CoV-2 infection. METHODS: Chest computed tomography(CT), indicators for organ and coagulation function, inflammation cytokines, of asymptomatic/pre-symptomatic patients with SARS-CoV-2 infection were retrospectively analyzed in Zhongnan Hospital of Wuhan University from 20 December 2019, to 8 March 2020. RESULTS: The proportion of normal chest CT in asymptomatic and pre-symptomatic patients with SARS-CoV-2 infection were 35.4% (17/48) and 3.3%(2/61), respectively (P< 0.001). In 17 asymptomatic patients, their images of chest CT maintained normal during the whole course of diseases, while the normal images of chest CT in 2 pre-symptomatic patients progressed to abnormal later (P< 0.001). All the six asymptomatic patients with SARS-CoV-2 infection maintained unilateral lesion, while the proportion was 29.4%(5/17) in pre-symptomatic patients(P= 0.003). Compared with asymptomatic patients, pre-symptomatic COVID-19 patients had worse levels of Lymphocyte count (P= 0.001), Albumin (P= 0.045), Aspartate aminotransferase (P= 0.044), γ-glutamyl transpeptadase (P= 0.016), Globulin (P= 0.036), Creatinine (P= 0.021), Lactate dehydrogenase (P= 0.008), C-reactive protein (P< 0.001), Serum amyloid A (P< 0.001), and Erythrocyte sedimentation rate (P< 0.001). Except for above indicators, Alkaline phosphatase (P= 0.009), Procalcitonin (P= 0.010), and D-dimer(P< 0.001) increased further during periods of symptoms compared with those levels in pre-symptomatic period. CONCLUSION: In early stage after SARS-CoV-2 infection, images of chest CT and blood tests of asymptomatic patients were different from pre-symptomatic patients.

In-flight transmission cluster of COVID-19: a retrospective case series.

BACKGROUND: No data is available about in-flight transmission of SARS-CoV-2. Here, we report an in-flight transmission cluster of COVID-19 and describe the clinical characteristics of these patients. METHODS: After a flight, laboratory-confirmed COVID-19 was reported in 12 patients. Ten patients were admitted to the designated hospital. Data was collected from 25th January to 28th February 2020. Clinical information was retrospectively collected. RESULTS: All patients were passengers, and none were flight attendants. The median age was 33 years, and 70% were females. None was admitted to intensive care unit, and no patients died up to 28th February. The median incubation period was 3.0 days and time from onset of illness to hospital admission was 2 days. The most common symptom was fever. Two patients were asymptomatic and had normal chest CT scan during hospital stay. On admission, initial RT-PCR was positive in 9 patients, and initial chest CT was positive in half of the patients. The median lung 'total severity score' of chest CT was 6. 'Crazy-paving' pattern, pleural effusion, and ground-glass nodules were seen. CONCLUSION: There is potential for COVID-19 transmission in aeroplanes, but the symptoms were mild in our patients. Passengers and attendants must be protected during flights.

CT lung lesions as predictors of early death or ICU admission in COVID-19 patients.

OBJECTIVE: The main objective of this study was to investigate the prognostic value of early systematic chest computed tomography (CT) with quantification of lung lesions in coronavirus disease 2019 (COVID-19) patients. METHODS: We studied 572 patients diagnosed with COVID-19 (confirmed using polymerase chain reaction) for whom a chest CT was performed at hospital admission. Visual quantification was used to classify patients as per the percentage of lung parenchyma affected by COVID-19 lesions: normal CT, 0-10%, 11-25%, 26-50%, 51-75% and >75%. The primary endpoint was severe disease, defined by death or admission to the intensive care unit in the 7 days following first admission. RESULTS: The mean patient age was 66.0 ± 16.0 years, and 343/572 (60.0%) were men. The primary endpoint occurred in 206/572 patients (36.0%). The extent of lesions on initial CT was independently associated with prognosis (odds ratio = 2.35, 95% confidence interval 1.24-4.46; p < 0.01). Most patients with lung involvement >50% (66/95, 69.5%) developed severe disease compared to patients with lung involvement of 26-50% (70/171, 40.9%) and ≤25% (70/306, 22.9%) (p < 0.01 and p < 0.01, respectively). None of the patients with normal CT (0/14) had severe disease. CONCLUSION: Chest CT findings at admission are associated with outcome in COVID-19 patients.

An unusual case of coronavirus disease 2019: Delayed chest CT evidence.

Asymptomatic patients and infected patients with normal chest CT imaging are considered carriers of SARS-CoV-2. Before a diagnosis of coronavirus disease 2019 (COVID-19) is made, these patients with negative chest CT findings may be ignored, causing the possibility of virus transmission. For patients with suspected infections, reliable epidemiological information and clinical symptoms, clinical management is necessary even when the chest CT is negative.

Uncommon presentation of COVID-19: Gastrointestinal bleeding.

The COVID-19 outbreak has become a pandemic that is threatening global health. The typical clinical manifestations were fever, cough, dyspnea, and myalgia or fatigue. Digestive symptoms such as nausea, vomiting, diarrhea, abdominal pain usually accompany respiratory symptoms. However gastrointestinal bleeding as the first symptom is not reported. Here we reported a case of COVID-19 with gastrointestinal bleeding as the initial symptom to the emergency department with a real-time reverse transcriptase polymerase chain reaction test positive, and normal thorax tomography. The case demonstrate that; clinicians should be alerted to patients about COVID-19 when referring to atypical symptoms and every patient undergoing endoscopy should be considered potentially infected or can infect others.

A systematic review of chest imaging findings in COVID-19.

Chest computed tomography (CT) is frequently used in diagnosing coronavirus disease 2019 (COVID-19) for detecting abnormal changes in the lungs and monitoring disease progression during the treatment process. Furthermore, CT imaging appearances are correlated with patients presenting with different clinical scenarios, such as early versus advanced stages, asymptomatic versus symptomatic patients, and severe versus nonsevere situations. However, its role as a screening and diagnostic tool in COVID-19 remains to be clarified. This article provides a systematic review and meta-analysis of the current literature on chest CT imaging findings with the aim of highlighting the contribution and judicious use of CT in the diagnosis of COVID-19. A search of PubMed/Medline, Web of Science, ScienceDirect, Google Scholar and Scopus was performed to identify studies reporting chest imaging findings in COVID-19. Chest imaging abnormalities associated with COVID-19 were extracted from the eligible studies and diagnostic value of CT in detecting these abnormal changes was compared between studies consisting of both COVID-19 and non-COVID-19 patients. A random-effects model was used to perform meta-analysis for calculation of pooled mean values and 95% confidence intervals (95% CI) of abnormal imaging findings. Fifty-five studies met the selection criteria and were included in the analysis. Pulmonary lesions more often involved bilateral lungs (78%, 95% CI: 45-100%) and were more likely to have a peripheral (65.35%, 95% CI: 25.93-100%) and peripheral plus central distribution (31.12%, 95% CI: 1.96-74.07%), but less likely to have a central distribution (3.57%, 95% CI: 0.99-9.80%). Ground glass opacities (GGO) (58.05%, 95% CI: 16.67-100%), consolidation (44.18%, 95% CI: 1.61-71.46%) and GGO plus consolidation (52.99%, 95% CI: 19.05-76.79%) were the most common findings reported in 94.5% (52/55) of the studies, followed by air bronchogram (42.50%, 95% CI: 7.78-80.39%), linear opacities (41.29%, 95% CI: 7.44-65.06%), crazy-paving pattern (23.57%, 95% CI: 3.13-91.67%) and interlobular septal thickening (22.91%, 95% CI: 0.90-80.49%). CT has low specificity in differentiating pneumonia-related lung changes due to significant overlap between COVID-19 and non-COVID-19 patients with no significant differences in most of the imaging findings between these two groups (P>0.05). Furthermore, normal CT (13.31%, 95% CI: 0.74-38.36%) was reported in 26 (47.3%) studies. Despite widespread use of CT in the diagnosis of COVID-19 patients based on the current literature, CT findings are not pathognomonic as it lacks specificity in differentiating imaging appearances caused by different types of pneumonia. Further, there is a relatively high percentage of normal CT scans. Use of CT as a first-line diagnostic or screening tool in COVID-19 is not recommended.

Risk factors associated with disease progression in a cohort of patients infected with the 2019 novel coronavirus.

BACKGROUND: The emerging infection of the 2019 novel coronavirus (2019-nCoV) in late December, 2019 in Wuhan, China, has caused an extreme health concern, with many patients having progressed to acute respiratory disease or other complications in a short period. Meanwhile, the risk factors associated with the disease progression still remain elusive. METHODS: A cohort of 17 patients with laboratory-confirmed 2019-nCoV infections who were admitted to the Ninth Hospital of Nanchang between January 28 and February 6, 2020, were enrolled in this study. All the patients received standardized treatment. The disease progression was evaluated every 7 days after admission. The clinical, radiologic, and laboratory characteristics were retrospectively analyzed, and the factors associated with the disease progression were screened by binary logistic regression analysis. RESULTS: The cohort comprised 11 women (64.7%) and 6 men (35.3%) between the ages of 18 to 70 years old. All patients had a reported history of contact with infection-confirmed patients. Fever (11/64.7%) and cough (8/47.1%) were the most common symptoms, whereas dyspnea (2/11.8%) and fatigue (3/17.6%) were rare, and there was no patient with diarrhea symptoms. There were 5 patients with aggravated disease at the first disease progression evaluation, and no patient received mechanical ventilation, transferred to the intensive care unit (ICU), or progressed to acute respiratory distress syndrome, septic shock, refractory metabolic acidosis, coagulation dysfunction, or death. Based on the disease progression, patients were divided into the non-aggravation group (12 cases) and the aggravation group (5 cases). There were no significant differences between the 2 groups with respect to their clinical characteristics. Chest computed tomography (CT) on admission revealed there were 8 patients (47.1%) with invasive lesions found bilaterally on the lungs on multiple lobes, 4 patients (23.5%) with invasive lesions on 1 lobe, and 5 patients (29.4%) with normal chest CT. The aggravation group had1 patient (20.0%) with invasive lesions on one lobe, 3 (60.0%) with invasive lesions on multiple lobes, bilaterally, and 1 (20.0%) with normal chest CT; meanwhile, the nonaggravation group had 3 patients (25.0%) with invasive lesions on one lobe, 5 (41.7%) with invasive lesions on multiple lobes, bilaterally, and 4 (33.3%) with normal chest CT. No significant difference was found between the 2 groups. In the aggravation group, the total lymphocyte counts significantly decreased in comparison to that in the non-aggravation group. Further analysis showed that the CD4+ T cell count but not the CD8+ T cell count of the aggravation group was significantly lower than that of the non-aggravation group. Correlation analysis indicated total lymphocyte count was positively correlated with CD4+ T cell count, and no significant differences were found between the 2 groups in other laboratory measurements, including those of white blood cell (WBC) count, C-reactive protein (CRP), albumin, lactate dehydrogenase (LDH), and D-dimer. Finally, a binary logistic regression model was used to identify the factors associated with the disease progression. It was found that total lymphocyte count was a risk factor associated with disease progression in patients infected with 2019-nCoV. CONCLUSIONS: A higher cell count of total lymphocytes may indicate a better outcome of the disease, and immune response may be a vital factor for directing disease progression in the early stage of 2019-nCoV infection.