An uncommon manifestation of COVID-19 pneumonia on CT scan with small cavities in the lungs: A case report

CARE-radiology statement explanation and elaboration: reporting guideline for radiological case reports

Despite the increasing number of radiological case reports, the majority lack a standardised methodology of writing and reporting. We therefore develop a reporting guideline for radiological case reports based on the CAse REport (CARE) statement. We established a multidisciplinary group of experts, comprising 40 radiologists, methodologists, journal editors and researchers, to develop a reporting guideline for radiological case reports according to the methodology recommended by the Enhancing the QUAlity and Transparency Of health Research network. The Delphi panel was requested to evaluate the significance of a list of elements for potential inclusion in a guideline for reporting mediation analyses. By reviewing the reporting guidelines and through discussion, we initially drafted 46 potential items. Following a Delphi survey and discussion, the final CARE-radiology checklist is comprised of 38 items in 16 domains. CARE-radiology is a comprehensive reporting guideline for radiological case reports developed using a rigorous methodology. We hope that compliance with CARE-radiology will help in the future to improve the completeness and quality of case reports in radiology.

[Risk factors of pulmonary cavitation in COVID-19 pneumonia]

OBJECTIVE

To identify the risk factors of pulmonary cavitation in COVID-19 pneumonia.

MATERIAL AND METHODS

A retrospective study included 8261 patients with COVID-19 between April 2020 and March 2022. Inclusion criteria: age >18 years, COVID-19 confirmed by polymerase chain reaction. Two cohorts of patients were formed: 40 patients with pulmonary cavitation and 40 patients without these lesions. Both groups were comparable in age, lung lesion volume and oxygenation. Sex, age, length of hospital-stay, CT grade of lung lesion, comorbidities, treatment, respiratory support, oxygen saturation and in-hospital outcomes were evaluated. The highest lung lesion volume during hospitalization was assessed. CT was performed upon admission and approximately every 5 days for evaluation of treatment. Statistical analysis was performed using the IBM SPSS Statistics software (IBM Corporation, USA).

RESULTS

Patients with pulmonary cavitation significantly differed in age, SpO2, lung lesion volume, more common non-invasive ventilation and prolonged hospital-stay. Cardiovascular diseases were more common in both groups. Univariate logistic regression analysis revealed age, cardiovascular diseases, CT-based severity of lung damage, absence of biological therapy and non-invasive ventilation as risk factors of pulmonary cavitation. According to multivariate logistic regression analysis, these predictors were CT-based severity of lung damage and absence of biological therapy. Univariate logistic regression analysis showed that pulmonary cavitation had no significant effect on mortality (OR=2.613, 95% CI: 0.732-9.322, p=0.139).

CONCLUSION

The risk of pulmonary cavitation in COVID-19 is directly related to advanced lung damage and untimely or absent biological therapy with IL-6 inhibitors. Pulmonary cavitation in COVID-19 is not a typical manifestation of disease and can be caused by some factors: fungal infection, secondary bacterial infection, tuberculosis and pulmonary infarction. Further study of this problem is required to develop diagnostic algorithms and treatment tactics.

[Cavitary lung lesions in COVID-19 associated pneumonia: a single-center study of 40 cases]

OBJECTIVE

To demonstrate clinical features and outcomes in patients with cavitary lung lesions and COVID-19 associated pneumonia.

MATERIAL AND METHODS

A retrospective analysis of electronic medical records of 8261 patients with COVID-19 was performed. We selected 40 patients meeting the inclusion criteria. Sex, age, hospital-stay, lung tissue lesion, comorbidities, treatment, methods of respiratory support, complications and outcomes were evaluated.

RESULTS

Cavitary lung lesions were more common in men (67.5%). Age of patients ranged from 28 to 88 (mean 64.9±13.7) years. Hospital-stay in patients with cavitary lung lesions was 9-58 (median 27.5) days. There were 18 complications in 14 (35%) patients. Pneumothorax, isolated pneumomediastinum, pleural empyema, hemoptysis and sigmoid colon perforation were considered as complications of cavitary lung lesions. Nine (22.5%) patients died (5 of them with complications). Three patients died after surgical treatment. Long-term results were analyzed in 8 (25.8%) patients. Patients were followed-up for 3 months after discharge. Shrinkage of lesions occurred after 7-60 (mean 23) days, and complete obliteration of cavities came after 32 (range 14-90) days.

CONCLUSION

Cavitary lung lesions are a rare complication of COVID-19 pneumonia. There was no significant correlation of complications with age, sex, therapy, volume of lung lesions and non-invasive ventilation (NIV). Despite more common fatal outcomes in older patients undergoing NIV, the last one was prescribed exclusively due to disease progression and respiratory failure. Further research on this problem is necessary to identify possible risk factors of cavitary lung lesions.

CT features of acute COVID-19 and long-term follow-up

Since the first few cases of pneumonia attributed to infection with the highly contagious novel coronavirus 2 (SARs-CoV-2) were detected in Wuhan, China, in December 2019, imaging has proven an invaluable diagnostic tool throughout the resulting global pandemic. This review describes the imaging features of severe pulmonary disease caused by SARs-CoV-2, named COVID-19 by the World Health Organization (WHO), particularly focussing on computed tomography (CT). CT plays an important role in understanding the pathology behind the progression of disease, as well as helping to identify the potential complications of COVID-19 pneumonia and recognising possible alternative or concurrent diagnoses. This review also focusses on follow-up imaging of survivors of COVID-19, which continues to contribute substantially to our understanding of the longer-term pulmonary changes in patients who have survived severe COVID-19 pneumonia.

Surgical therapy for major lung parenchymal damage from late coronavirus disease complication: case report and literature review

Background

Coronavirus disease [severe acute respiratory syndrome coronavirus disease 19 (SARS COVID-19)] has emerged as one of the most challenging diseases of recent decades. After the pandemic outbreak, our knowledge of the virus has expanded and developed, but we face a new wave of atypical complications that require special attention. In addition to the acute complications of COVID-19 infection, late complications of the disease are taking an increasingly important part in the management of affected patients, which are grouped under the collective term "Long COVID". In this work, we present our therapy strategy in three cases of pulmonary cavity as a late complication after COVID-19, as well as perform a literature review of published articles in this matter.

Case Description

This study includes 3 cases of pulmonary cavities as a late COVID complication. Among them only one patient was vaccinated. The mean duration between the occurrence of Long COVID and SARS COVID-19 disease was 4 weeks in our patients. All patients underwent adequate medical therapy after Long COVID. However, due to the disease progression and significant elevated infections parameters, all patients underwent surgical therapy. One patient underwent uniportal video-assisted thoracoscopic surgery (VATS) lobectomy and decortication of the empyema, whereas we performed thoracotomy for other patients. All patients treated successfully and discharged shortly after the operation. Our literature review provides a total of 12 publications with only 50 patients. No patients received vaccination. The mean interval time between acute infection and the appearance of pulmonary cavities was about 4 weeks. The results showed that most patients were treated with conservative therapies. Only two patients were treated using invasive therapies. Both patients were successfully treated and recovered from the procedures.

Conclusions

This group of late complications COVID patients requires individualized treatment strategy. In the case of an underlying pulmonary cavities, depending on the findings, despite increased perioperative risks, very good results can be achieved by presentation to a specialized and experienced thoracic surgery center.

Genetic Variants within SARS-CoV-2 Human Receptor Genes May Contribute to Variable Disease Outcomes in Different Ethnicities

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved into a global pandemic, with an alarming infectivity and mortality rate. Studies have examined genetic effects on SARS-CoV-2 disease susceptibility and severity within Eurasian populations. These studies identified contrasting effects on the severity of disease between African populations. Genetic factors can explain some of the diversity observed within SARS-CoV-2 disease susceptibility and severity. Single nucleotide polymorphisms (SNPs) within the SARS-CoV-2 receptor genes have demonstrated detrimental and protective effects across ethnic groups. For example, the TT genotype of rs2285666 (Angiotensin-converting enzyme 2 (ACE2)) is associated with the severity of SARS-CoV-2 disease, which is found at higher frequency within Asian individuals compared to African and European individuals. In this study, we examined four SARS-CoV-2 receptors, ACE2, Transmembrane serine protease 2 (TMPRSS2), Neuropilin-1 (NRP1), and Basigin (CD147). A total of 42 SNPs located within the four receptors were reviewed: ACE2 (12), TMPRSS2 (10), BSG (CD147) (5), and NRP1 (15). These SNPs may be determining factors for the decreased disease severity observed within African individuals. Furthermore, we highlight the absence of genetic studies within the African population and emphasize the importance of further research. This review provides a comprehensive summary of specific variants within the SARS-CoV-2 receptor genes, which can offer a better understanding of the pathology of the SARS-CoV-2 pandemic and identify novel potential therapeutic targets.

Omnidirectional 2.5D representation for COVID-19 diagnosis using chest CTs

The Coronavirus Disease 2019 (COVID-19) has drastically overwhelmed most countries in the last two years, and image-based approaches using computerized tomography (CT) have been used to identify pulmonary infections. Recent methods based on deep learning either require time-consuming per-slice annotations (2D) or are highly data- and hardware-demanding (3D). This work proposes a novel omnidirectional 2.5D representation of volumetric chest CTs that allows exploring efficient 2D deep learning architectures while requiring volume-level annotations only. Our learning approach uses a siamese feature extraction backbone applied to each lung. It combines these features into a classification head that explores a novel combination of Squeeze-and-Excite strategies with Class Activation Maps. We experimented with public and in-house datasets and compared our results with state-of-the-art techniques. Our analyses show that our method provides better or comparable prediction quality and accurately distinguishes COVID-19 infections from other kinds of pneumonia and healthy lungs.

Biofilms possibly harbor occult SARS-CoV-2 may explain lung cavity, re-positive and long-term positive results

During the COVID-19 pandemic, there have been an increasing number of COVID-19 patients with cavitary or cystic lung lesions, re-positive or long-term positive nucleic acid tests, but the mechanism is still unclear. Lung cavities may appear at long time interval from initial onset of coronavirus infection, generally during the absorption phase of the disease. The main histopathological characteristic is diffuse alveolar damage and may have more severe symptoms after initial recovery from COVID-19 and an increased mortality rate. There are many possible etiologies of pulmonary cavities in COVID-19 patients and we hypothesize that occult SARS-CoV-2, in the form of biofilm, is harbored in the airway lacuna with other pathogenic microorganisms, which may be the cause of pulmonary cavities and repeated and long-term positive nucleic acid tests.

Hearing Loss, Tinnitus, and Dizziness in COVID-19: A Systematic Review and Meta-Analysis

OBJECTIVES

Extensive studies indicate that severe acute respiratory syndrome coronavirus (SARS-CoV-2) involves human sensory systems. A lack of discussion, however, exists given the auditory-vestibular system involvement in CoV disease 2019 (COVID-19). The present systematic review and meta-analysis were performed to determine the event rate (ER) of hearing loss, tinnitus, and dizziness caused by SARS-CoV-2.

METHODS

Databases (PubMed, ScienceDirect, Wiley) and World Health Organization updates were searched using combined keywords: 'COVID-19,' 'SARS-CoV-2,' 'pandemic,' 'auditory dysfunction,' 'hearing loss,' 'tinnitus,' 'vestibular dysfunction,' 'dizziness,' 'vertigo,' and 'otologic symptoms.'

RESULTS

Twelve papers met the eligibility criteria and were included in the study. These papers were single group prospective, cross-sectional, or retrospective studies on otolaryngologic, neurologic, or general clinical symptoms of COVID-19 and had used subjective assessments for data collection (case histories/medical records). The results of the meta-analysis demonstrate that the ER of hearing loss (3.1%, CIs: 0.01-0.09), tinnitus (4.5%, CIs: 0.012-0.153), and dizziness (12.2%, CIs: 0.070-0.204) is statistically significant in patients with COVID-19 (Z ≤ -4.469, p ≤ 0.001).

CONCLUSIONS

COVID-19 can cause hearing loss, tinnitus, and dizziness. These findings, however, should be interpreted with caution given insufficient evidence and heterogeneity among studies. Well-designed studies and follow-up assessments on otologic symptoms of SARS-CoV-2 using standard objective tests are recommended.

Cystic Lung Disease as a Sequela of Severe COVID-19: Case Series

Coronavirus disease 2019 (COVID-19) presented in December 2019 and has persisted since. The global pandemic has given rise to a novel acute disease process with a continually rapidly increasing prevalence of chronic disease and associated complications. There is minimal information on the long-term pulmonary complications of this disease. We present a series of 9 patient case reports and their respective imaging admitted with COVID-19 acute respiratory distress syndrome (ARDS) to highlight the cystic lung disease complications which may arise due to severity and disease progression. Our aim is to raise awareness of the sequela of COVID-19 ARDS, including its potentially catastrophic long-term consequences to the respiratory tract involving cystic lung disease.

Pulmonary Cystic Disease Associated With COVID 19 Pneumonia: An Emerging Atypical Manifestation

Chest tomography has played an essential role during the coronavirus disease 2019 (COVID-19) pandemic since it has allowed to suspect and diagnose the disease early and to assess the severity of lung involvement, predict the disease's course, and detect the complications associated with it. Certain chest CT findings have been reported in more than 70% of reverse transcription polymerase chain reaction (RT-PCR) test-proven COVID-19 cases, including ground-glass opacities, vascular enlargement, bilateral abnormalities, lower lobe involvement, and posterior predilection. In COVID-19-endemic regions, observing these chest CT findings should raise the suspicion of a possible COVID-19 diagnosis. Rare reported CT findings in RT-PCR test-proven COVID-19 cases include pleural effusion, lymphadenopathy, tree-in-bud sign, central lesion distribution, pericardial effusion, and cavitating lung lesions. The observation of one or more of these findings suggests an alternative diagnosis, although COVID-19 cannot be excluded from the differential diagnosis. Here, we report an interesting case of a patient with no relevant history presenting a COVID-19 infection which, as a complication, presented cystic lesions; we discuss its etiology briefly.

Performance evaluation of selected machine learning algorithms for COVID-19 prediction using routine clinical data: With versus Without CT scan features

BACKGROUND

Given coronavirus disease (COVID-19's) unknown nature, diagnosis, and treatment is very complex up to the present time. Thus, it is essential to have a framework for an early prediction of the disease. In this regard, machines learning (ML) could be crucial to extract concealed patterns from mining of huge raw datasets then it establishes high-quality predictive models. At this juncture, we aimed to apply different ML techniques to develop clinical predictive models and select the best performance of them.

MATERIALS AND METHODS

The dataset of Ayatollah Talleghani hospital, COVID-19 focal center affiliated to Abadan University of Medical Sciences have been taken into consideration. The dataset used in this study consists of 501 case records with two classes (COVID-19 and non COVID-19) and 32 columns for the diagnostic features. ML algorithms such as Naïve Bayesian, Bayesian Net, random forest (RF), multilayer perceptron, K-star, C4.5, and support vector machine were developed. Then, the recital of selected ML models was assessed by the comparison of some performance indices such as accuracy, sensitivity, specificity, precision, F-score, and receiver operating characteristic (ROC).

RESULTS

The experimental results indicate that RF algorithm with the accuracy of 92.42%, specificity of 75.70%, precision of 92.30%, sensitivity of 92.40%, F-measure of 92.00%, and ROC of 97.15% has the best capability for COVID-19 diagnosis and screening.

CONCLUSION

The empirical results reveal that RF model yielded higher performance as compared to other six classification models. It is promising to the implementation of RF model in the health-care settings to increase the accuracy and speed of disease diagnosis for primary prevention, screening, surveillance, and early treatment.

Development of cavitary lung disease as a long-term complication of coronavirus disease 2019 in a young previously healthy patient: a case report

BACKGROUND

Cavities are frequent manifestations of a wide variety of pathological processes involving the lung. There has been a growing body of evidence of coronavirus disease 2019 leading to a cavitary pulmonary disease.

CASE PRESENTATION

A healthy 29-year-old Filipino male presented to the hospital a couple of months after convalescence from coronavirus disease 2019 with severe pleuritic chest pain, fever, chills, and shortness of breath, and was found to have a cavitary lung lesion on chest computed tomography. While conservative management alone failed to improve the patient's condition, he ultimately underwent left lung video-assisted thoracoscopic surgery decortication. Even though the surgical pathology revealed only necrosis with dense acute inflammation and granulation tissue with no microorganisms, he gradually improved with medical therapy adjunct with surgical therapy.

CONCLUSION

Documented cases of cavitary lung disease secondary to coronavirus disease 2019 have been mostly reported in the acute or subacute phase of the infection. However, clinicians should recognize this entity as a late complication of coronavirus disease 2019, even in previously healthy individuals.

Unusual imaging findings of SARS-CoV-2 in HIV-positive patient : A case report

Considering SARS-CoV-2 as a major differential diagnosis of pneumocystis in HIV-positive patients even if the lesions are typical.

Spectrum of atypical pulmonary manifestations of COVID-19 on computed tomography

Background

The typical CT manifestations of COVID-19 pneumonia include ground-glass opacity (GGO) with or without consolidation and superimposed interlobular septal thickening. These are often rounded in morphology and frequently bilateral, multilobar, posterior, peripheral, and basilar in distribution. The various atypical CT features of COVID-19 are seldom described in the literature. The study aims to enumerate the atypical pulmonary CT features in patients with COVID-19 pneumonia in correlation with the disease severity.

Results

A total of 298 confirmed cases of COVID-19 pneumonia with positive reverse transcription polymerase chain reaction (RT-PCR) who underwent chest CT scans were retrospectively evaluated. The cohort included 234 (78.5%) men and 64 (21.5%) women and the mean age was 53.48 ± 15.74 years. The most common presenting symptoms were fever [n = 197 (66.1%)] and cough [n = 139 (46.6%)]. Out of 298 cases of COVID-19 pneumonia, 218 cases (73.1%) showed typical CT features while 63 cases (21.1%) showed atypical CT features with concurrent classical findings and the remaining 17 cases (5.8%) were normal. Among the atypical CT features, the most common was pulmonary cysts [n = 27 (9%)]. The other features in the order of frequency included pleural effusion [n = 17 (5.7%)], nodules [n = 13 (4.3%)], bull’s eye/target sign[n = 4 (1.3%)], cavitation [n = 3 (1.0%)], spontaneous pneumothorax [n = 2 (0.6%)], hilar lymphadenopathy [n = 2 (0.6%)], spontaneous pneumo-mediastinum with subcutaneous emphysema [n = 1 (0.3%)], Halo sign [n = 1 (0.3%)], empyema [n = 1 (0.3%)] and necrotizing pneumonia with abscess [n = 1 (0.3%)].

Conclusion

CT imaging features of COVID-19 pneumonia while in a vast majority of cases is classical, atypical diverse patterns are also encountered. A comprehensive knowledge of various atypical presentations on imaging plays an important role in the early diagnosis and management of COVID-19.