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1.
Eur Radiol ; 2022 Jan 15.
Article in English | MEDLINE | ID: covidwho-1626728

ABSTRACT

PURPOSE: To compare the diagnostic performance and inter-observer agreement of five different CT chest severity scoring systems for COVID-19 to find the most precise one with the least interpretation time. METHODS AND MATERIALS: This retrospective study included 85 patients (54 male and 31 female) with PCR-confirmed COVID-19. They underwent CT to assess the severity of pulmonary involvement. Three readers were asked to assess the pulmonary abnormalities and score the severity using five different systems, including chest CT severity score (CT-SS), chest CT score, total severity score (TSS), modified total severity score (m-TSS), and 3-level chest CT severity score. Time consumption on reporting of each system was calculated. RESULTS: Two hundred fifty-five observations were reported for each system. There was a statistically significant inter-observer agreement in assessing qualitative lung involvement using the m-TSS and the other four quantitative systems. The ROC curves revealed excellent and very good diagnostic accuracy for all systems when cutoff values for detection severe cases were > 22, > 17, > 12, and > 26 for CT-SS, chest CT score, TSS, and 3-level CT severity score. The AUC was very good (0.86), excellent (0.90), very good (0.89), and very good (0.86), respectively. Chest CT score showed the highest specificity (95.2%) in discrimination of severe cases. Time consumption on reporting was significantly different (< 0.001): CT-SS > 3L-CT-SS > chest CT score > TSS. CONCLUSION: All chest CT severity scoring systems in this study demonstrated excellent inter-observer agreement and reasonable performance to assess COVID-19 in relation to the clinical severity. CT-SS and TSS had the highest specificity and least time for interpretation. KEY POINTS: • All chest CT severity scoring systems discussed in this study revealed excellent inter-observer agreement and reasonable performance to assess COVID-19 in relation to the clinical severity. • Chest CT scoring system and TSS had the highest specificity. • Both TSS and m-TSS consumed the least time compared to the other three scoring systems.

2.
J Neuroimaging ; 2022 Jan 18.
Article in English | MEDLINE | ID: covidwho-1626571

ABSTRACT

BACKGROUND AND PURPOSE: The purpose is to provide a comprehensive report describing the clinical and imaging features of Coronavirus disease 2019 (COVID-19)-related acute invasive fungal sinusitis (AIFS) and associated comorbidities. METHODS: A retrospective study was conducted on 25 patients (12 males and 13 females, mean age of 53.9±9.1 years). All patients had positive polymerase chain reaction test for COVID-19 and histopathological proof of AIFS. Patients underwent computed tomography (CT) and magnetic resonance examinations to assess sinonasal, orbital, and cranial spread. RESULTS: The most prevalent comorbidity among the study cohort was diabetes mellitus (DM). Twenty-one patients (84%) were diagnosed in the post-COVID-19 period after hospital discharge, with a mean interval of 19.1±9.2 days. Steroid treatment was given to 19 patients (76%). Orbital manifestations were the presenting symptoms in all patients, followed by facial edema, nasal discharge, and neurological symptoms. Sinonasal involvement ranged from mucosal thickening to complete sinus opacification by a predominant isodensity on CT, low T1, and high T2 signal intensity with variable enhancement patterns. Twenty-four patients had a unilateral orbital extension, and 12 patients showed signs of intracranial extension. Bone involvement was detected in 16 patients (64%). Follow-up scans in 18 patients (72%) showed rapid progression of the disease. Eight patients (32%) died, six from neurological complications and two from severe respiratory failure. CONCLUSION: Steroids, DM, and severe COVID-19 are the major risk factors of AIFS in the post-COVID-19 era. Imaging scans in all patients revealed different sinonasal, facial, orbital features, and intracranial involvement with rapid progression of the findings on follow-up scans.

3.
Emerg Radiol ; 29(1): 9-21, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1525544

ABSTRACT

PURPOSE: To correlate thromboembolic (TE) complications secondary to COVID-19 with the extent of the pulmonary parenchymal disease using CT severity scores and other comorbidities. METHODS: In total, 185 patients with COVID-19 and suspected thromboembolic complications were classified into two groups based on the presence or absence of thromboembolic complications. Thromboembolic complications were categorized based on location. Chest CT severity scoring system was used to assess the pulmonary parenchymal disease severity in all patients. Based into severity scores, patients were categorized into three groups (mild, moderate, and sever disease). RESULTS: The final study cohort consisted of 171 patients (99 male and 72 female) after excluding 14 patients with non-diagnostic CT pulmonary angiography. The TE group included 53 patients with a mean age of 55.1 ± 7.1, while the non-TE group included 118 patients with a mean age of 52.9 ± 10.8. Patients with BMI > 30 kg/m2 or having a history of smoking and HTN were found more frequently in the TE group (p < 0.05). Patients admitted to ICU were significantly higher in the TE group (p < 0.001). There was statistically significant difference (p = 0.002) in chest CT-SS between the TE group (22.8 ± 11.4) and non-TE group (17.6 ± 10.7). The percentage of severe parenchymal disease in the TE group was significantly higher compared to the non-TE group (p < 0.05). Severe parenchymal disease, BMI > 30 kg/m2, smoking, and HTN had a higher and more significant odds ratio for developing TE complications. CONCLUSION: The present data suggest that severe pulmonary parenchymal disease secondary to COVID-19 is associated with a higher incidence of thromboembolic complications.


Subject(s)
COVID-19 , Lung Diseases , Adult , Female , Humans , Lung Diseases/diagnostic imaging , Male , Middle Aged , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index
4.
Pol J Radiol ; 86: e432-e439, 2021.
Article in English | MEDLINE | ID: covidwho-1359371

ABSTRACT

PURPOSE: To explore whether chest X-ray severity scoring (CX-SS) could be reliable to assess the severity of pulmonary parenchymal disease in COVID-19 patients. MATERIAL AND METHODS: The study consisted of 325 patients whose COVID-19 was confirmed by RT-PCR test and who underwent chest X-ray and computed tomography (CT) studies to assess parenchymal disease severity. Only 195 cases included in the final analysis after exclusion of cases with previous chest disease and cases having more than 24 hours interval between their X-ray and CT chest studies. Both chest X-ray and CT severity scores (CT-SS) were recorded by 2 experienced radiologists and were compared to the clinical severity. Interobserver agreement was assessed for CX-SS and CT-SS. RESULTS: In relation to the clinical severity, the sensitivity of the CX-SS for diagnosis of moderate to severe parenchymal disease was high (90.4% and 100%) and low for mild cases (66.2%), while the specificity was high for mild to moderate parenchymal disease (100%) compared to severe cases (86.7%). The sensitivity, specificity, and diagnostic accuracy of the CT-SS were higher than CX-SS. Pearson correlation coefficient demonstrated a strong positive correlation between CX-SS and CT-SS (rs = 0.88, p < 0.001). The inter-observer agreement for CX-SS was good (k = 0.79, p = 0.001), and it was excellent for CT-SS (k = 0.85, p = 0.001). CONCLUSIONS: CX-SS is reliable to assess the severity of COVID-19 pulmonary parenchymal disease, especially in moderate and severe cases, with the tendency of overestimation of severe cases.

5.
Insights Imaging ; 12(1): 12, 2021 Feb 03.
Article in English | MEDLINE | ID: covidwho-1060960

ABSTRACT

COVID-19 (coronavirus disease 2019) is a recently emerged pulmonary infection caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2). It started in Wuhan, China, in December 2019 and led to a highly contagious disease. Since then COVID-19 continues to spread, causing exponential morbidity and mortality and threatening economies worldwide. While the primary diagnostic test for COVID-19 is the reverse transcriptase-polymerase chain reaction (RT-PCR) assay, chest CT has proven to be a diagnostic tool of high sensitivity. A variety of conditions demonstrates CT features that are difficult to differentiate from COVID-19 rendering CT to be of low specificity. Radiologists and physicians should be aware of imaging patterns of these conditions to prevent an erroneous diagnosis that could adversely influence management and patients' outcome. Our purpose is to provide a practical review of the conditions that mimic COVID-19. A brief description of the forementioned clinical conditions with their CT features will be included.

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