Chest Computed Tomography Findings In Patients Research Articles

Undiagnosed Long COVID-19 in China Among Non-vaccinated Individuals: Identifying Persistent Symptoms and Impacts on Patients' Health-Related Quality of Life

Is Long COVID-19 under-diagnosed? The definition of this new condition has received many contributions, and it is still under development as a great variety of symptoms have been associated to it. This study explores the possibility that there are non-diagnosed cases among individuals who have been infected by SARS-CoV-2 and have not been vaccinated. The long-term symptoms identified among a sample 255 individuals have been associated to Long COVID-19 by recent literature. The study relates these symptoms to risk factors and health-related quality of life (HRQoL) negative impacts. The individuals were screened 1 year after discharge to explore its potential relation to Long COVID-19. Patients diagnosed with COVID-19 and discharged from designated hospitals in a Chinese province between January and April 2020 were included in this study. They received computed tomography (CT) scans one month after discharge. One year after discharge, patients were invited to physical examination and interviewed with questionnaire on health-related quality of life (HRQoL) and post-COVID-19 symptoms. Tobit regression and Logistic regression were applied to evaluate the risk factors for health utility value and pain/discomfort and anxiety/depression. One year after discharge, 39.61% patients complained of several of the symptoms associated to Long COVID-19. More than half had abnormal chest CT. Previous studies focused on the post-COVID-19 symptoms and chest CT findings of patients, but few studies have assessed the COVID-19-associated risk factors for health-related quality of life.

CT findings in survivors and non-survivors of COVID-19 and clinical usefulness of a CT scoring system

BackgroundMany patients with coronavirus disease 2019 (COVID-19) have been diagnosed with computed tomography (CT). A prognostic tool based on CT findings could be useful for predicting death from COVID-19. ObjectivesTo compare the chest CT findings of patients who survived COVID-19 versus those of patients who died of COVID-19 and to determine the usefulness the clinical usefulness of a CT scoring system for COVID-19. MethodsWe included 124 patients with confirmed SARS-CoV-2 infections who were hospitalized between April 1, 2020 and July 25, 2020. ResultsWhereas ground-glass opacities were the most common characteristic finding in survivors (75%), crazy paving was the most characteristic finding in non-survivors (65%). Atypical findings were present in 46% of patients. The chest CT score was directly proportional to mortality; a score ≥18 was the best cutoff for predicting death, yielding 70% sensitivity (95%CI: 47%–87%). ConclusionsOur results suggest that atypical lesions are more prevalent in this cohort. The chest CT score had high sensitivity for predicting hospital mortality.

Hallazgos tomográficos entre sobrevivientes y no-sobrevivientes con COVID-19 y utilidad clínica de una puntuación de tomografía torácica

BackgroundMany patients with coronavirus disease 2019 (COVID-19) have been diagnosed with computed tomography (CT). A prognostic tool based on CT findings could be useful for predicting death from COVID-19. ObjectivesTo compare the chest CT findings of patients who survived COVID-19 versus those of patients who died of COVID-19 and to determine the usefulness the clinical usefulness of a CT scoring system for COVID-19. MethodsWe included 124 patients with confirmed SARS-CoV-2 infections who were hospitalized between April 1, 2020 and July 25, 2020. ResultsWhereas ground-glass opacities were the most common characteristic finding in survivors (75%), crazy paving was the most characteristic finding in non-survivors (65%). Atypical findings were present in 46% of patients. The chest CT score was directly proportional to mortality; a score≥18 was the best cutoff for predicting death, yielding 70% sensitivity (95%CI: 47%-87%). ConclusionsOur results suggest that atypical lesions are more prevalent in this cohort. The chest CT score had high sensitivity for predicting hospital mortality

One-year follow-up of chest CT findings in patients after SARS-CoV-2 infection

BackgroundKnowledge about the 1-year outcome of COVID-19 is limited. The aim of this study was to follow-up and evaluate lung abnormalities on serial computed tomography (CT) scans in patients with COVID-19 after hospital discharge.MethodsA prospective cohort study of patients with COVID-19 from the First Affiliated Hospital, Zhejiang University School of Medicine was conducted, with assessments of chest CT during hospitalization and at 2 weeks, 1 month, 3 months, 6 months, and 1 year after hospital discharge. Risk factors of residual CT opacities and the influence of residual CT abnormalities on pulmonary functions at 1 year were also evaluated.ResultsA total of 41 patients were followed in this study. Gradual recovery after hospital discharge was confirmed by the serial CT scores. Around 47% of the patients showed residual aberration on pulmonary CT with a median CT score of 0 (interquartile range (IQR) of 0–2) at 1 year after discharge, with ground-glass opacity (GGO) with reticular pattern as the major radiologic pattern. Patients with residual radiological abnormalities were older (p = 0.01), with higher rate in current smokers (p = 0.04), higher rate in hypertensives (p = 0.05), lower SaO2 (p = 0.004), and higher prevalence of secondary bacterial infections during acute phase (p = 0.02). Multiple logistic regression analyses indicated that age was a risk factor associated with residual radiological abnormalities (OR 1.08, 95% CI 1.01–1.15, p = 0.02). Pulmonary functions of total lung capacity (p = 0.008) and residual volume (p < 0.001) were reduced in patients with residual CT abnormalities and were negatively correlated with CT scores.ConclusionDuring 1-year follow-up after discharge, COVID-19 survivors showed continuous improvement on chest CT. However, residual lesions could still be observed and correlated with lung volume parameters. The risk of developing residual CT opacities increases with age.

The Role of Computed Tomography in the Management of Patients with Suspected COVID-19 – A Nigerian Study

Background: Computed tomography (CT) of the chest is a useful diagnostic adjunct in the management of COVID-19. It has proven useful in areas where ready access to real-time reverse transcriptase polymerase chain reaction (PCR) is not readily available. Objectives: This study sought to evaluate the chest CT findings of patients suspected with having COVID-19 on presenting at the emergency room. Materials and Methods: This is a retrospective study done in Cedarcrest Hospitals, Abuja, with patient information pooled from patients' electronic medical records from April to December 2020. Patients were selected based on suspicion of COVID-19 infection. Suspicion was stratified into high, moderate, and low using an in-house clinical suspicion score called the Cedarcrest Emergency COVID-19 Risk Assessment Tool. Patients with background pulmonary pathology or chest trauma were excluded. Plain chest CT scans were performed to evaluate for COVID-19 pneumonia. Results: CT imaging increased the clinical suspicion of COVID-19. However, no statistically significant relationship was found between the positive CT findings and the PCR results. Conclusion: Chest CT should be correlated with clinical findings and laboratory results for patient evaluation.

Clinical Characteristics and CT Findings in 148 Non-COVID-19 Influenza-Like Illness Cases: A Retrospective Control Study.

Background: This study was to collect clinical features and computed tomography (CT) findings of Influenza-Like Illness (ILI) cases, and to evaluate the correlation between clinical data and the abnormal chest CT in patients with the Influenza-Like Illness symptoms.Methods: Patients with the Influenza-Like Illness symptoms who attended the emergency department of The Six Medical Center of The PLA General Hospital from February 10 to April 1, 2020 were enrolled. Clinical and imaging data of the enrolled patients were collected and analyzed. The association between clinical characteristics and abnormal chest CT was also analyzed.Results: A total of 148 cases were enrolled in this study. Abnormalities on chest CT were detected in 61/148 (41.2%) patients. The most common abnormal CT features were as follows: patchy consolidation 22/61(36.1%), ground-glass opacities 21/61(34.4%), multifocal consolidations 17/61(27.9%). The advanced age and underlying diseases were significantly associated with abnormal chest CT.Conclusions: Abnormal chest CT is a common condition in Influenza-Like Illness cases. The presence of advanced age and concurrent underlying diseases is significantly associated with abnormal chest CT findings in patients with ILI symptoms. The chest CT characteristic of ILI is different from the manifestation of COVID-19 infection, which is helpful for differential diagnosis.

Assessment of COVID-19 severity using computed tomography imaging: A systematic review and meta-analysis

Computed tomography (CT) imaging has been reported to be a reliable tool for the evaluation of suspected cases and follow-up of confirmed cases of coronavirus disease 2019 (COVID-19). Despite the generation of a considerable amount of imaging data related to COVID-19, there is a need for an updated systematic review and meta-analysis pertaining to the questions of clinical significance. We aimed to analyze the correlation between abnormal chest CT findings and disease severity in patients with COVID-19. We searched for case series/studies published in the English language until March 24, 2020 that reported the clinical and chest CT imaging features of confirmed cases of COVID-19 in the PubMed database. A total of 208 studies were screened, and 71 were finally included in the meta-analysis. Study characteristics and relative risk (RR) estimates were extracted from each article and pooled using the random-effects meta-analysis model. There were a total of 6406 patients studied in a total of 71 studies; the male to female ratio was 1.08:1, and the mean age was 45.76 years; of these, 2057 patients from 14 studies were categorized into severe (24.3%) and mild (75.7%) disease groups. Imaging features that were more frequently noted in patients with severe disease than in those with mild disease included bilateral lung involvement (88.7% vs. 49.8%), scattered distribution (80.4% vs. 46.5%), multiple lobe involvement (95.7% vs. 59.6%), consolidation (88.3% vs. 60.3%), crazy-paving pattern (45.4% vs. 27.6%), air-bronchogram sign (29.7% vs. 15.1%), interlobular septal thickening (84.2% vs. 55.8%), and subpleural line (36.8% vs. 26.4%) differences between the two disease groups were statistically significant (P < 0.001). For 3778 patients in 29 studies, a significant pooled RR estimate was associated with abnormal chest CT findings in patients with COVID-19 (RR, 5.46%; 95% confidence interval [CI], 3.72%–8.04%; I2 = 86%). Individual assessment of the CT features revealed that a significant pooled RR estimate was associated with pure ground-glass opacity (GGO) (RR, 1.63%; 95% CI, 1.12%–2.38%; I2 = 79%), while lower pooled RR estimates were associated with CT features like crazy-paving pattern (RR, 1.37%; 95% CI, 1.10%–1.71%; I2 = 60%), consolidation (RR, 0.47%; 95% CI, 0.32%–0.7%; I2 = 83.5%), GGO with consolidation (RR, 0.73%; 95% CI, 0.52%–1.02%; I2 = 75%), and air-bronchogram sign (RR, 0.58%; 95% CI, 0.36%–0.96%; I2 = 94%). In conclusion, the number, location, extent, and type of radiological lesions are associated with COVID-19 progression and severity, suggesting the feasibility of using CT imaging in the assessment of disease severity in all age groups and efficient allocation of resources for patient management at the institutional level.

Chest CT abnormalities in COVID-19: a systematic review.

Computed tomography (CT) of the chest is one of the main diagnositic tools for coronavirus disease 2019 (COVID-19) infection. To document the chest CT findings in patients with confirmed COVID-19 and their association with the clinical severity, we searched related literatures through PubMed, MEDLINE, Embase, Web of Science (inception to May 4, 2020) and reviewed reference lists of previous systematic reviews. A total of 31 case reports (3768 patients) on CT findings of COVID-19 were included. The most common comorbid conditions were hypertension (18.4%) and diabetes mellitus (8.3%). The most common symptom was fever (78.7%), followed by cough (60.2%). It took an average of 5.6 days from symptom onset to admission. The most common chest CT finding was vascular enlargement (84.8%), followed by ground-glass opacity (GGO) (60.1%), air-bronchogram (47.8%), and consolidation (41.4%). Most lung lesions were located in the lung periphery (72.2%) and involved bilateral lung (76%). Most patients showed normal range of laboratory findings such as white blood cell count (96.4%) and lymphocyte (87.2%). Compared to previous published meta-analyses, our study is the first to summarize the different radiologic characteristics of chest CT in a total of 3768 COVID-19 patients by compiling case series studies. A comprehensive diagnostic approach should be adopted for patients with known COVID-19, suspected cases, and for exposed individuals.

Differences in the clinical and radiological characteristics of lung-involved toxocariasis between toxocariasis with eosinophilia and those without eosinophilia.

Previously, most studies did not discuss about the characteristics of lung-involved toxocariasis without eosinophilia. However, the patients are not always accompanied by eosinophilia, so it is necessary to learn about the clinical and radiologic features that may predict pulmonary toxocariasis without eosinophilia. In addition, we also want to check the differences in characteristics between the two groups based on the presence of eosinophilia. We investigated patients from October 2009 to February 2014 with antibody against Toxocara positive using enzyme-linked immunosorbent assay (ELISA), abnormal chest X-ray, and computed tomography (CT) findings. This retrospective study included patients diagnosed as toxocariasis with pulmonary involvement, using the results of laboratory findings, symptoms, and CT at the time of diagnosis. Out of 88 patients, 78% were male and 22% were female; and the mean age was 51 years. The mean eosinophil fraction in peripheral blood was 11.8%. The most common chest CT findings of patients with eosinophilia were nodules plus ground glass opacity (GGO) pattern, and nodules were found in patients with no eosinophilia. Pure GGO was the most common predominant subtype in GGO lesions of patients with eosinophilia. In terms of anatomical distribution, random distribution was seen more in patients with eosinophilia than those without eosinophilia, with statistically significance (P=0.042). In patients who underwent additional CT scans, 44% of those with eosinophilia had migrating lesions and had significant differences from patients without eosinophilia (P=0.008). There were no significant differences in lesion characteristics with the exception of random anatomic distribution between patients with and without eosinophilia. However, there was a significant difference between the fixation and migration of the lesion in patients with and without eosinophilia.