Purpose: To determine the performance of radiologists with different levels of expertise regarding the differentiation of COVID-19 from other atypical pneumonias. Chest CT to identify patients suffering from COVID-19 has been reported to be limited by its low specificity for distinguishing COVID-19 from other atypical pneumonias ("COVID-19 mimics"). Meanwhile, the understanding of the morphologic patterns of COVID-19 has improved and they appear to be fairly specific.
Materials And Methods: Between 02/2020 and 04/2020, 60 patients with COVID-19 pneumonia underwent chest CT in our department. Cases were matched with a comparable control group of 60 patients of similar age, sex, and comorbidities, who underwent chest CT prior to 01/2020 for atypical pneumonia caused by other pathogens. Included were other viral, fungal, and bacterial pathogens. All 120 cases were blinded to patient history and were reviewed independently by two radiologists and two radiology residents. Readers rated the probability of COVID-19 pneumonia according to the COV-RADS classification system. Results were analyzed using Clopper-Pearson 95 % confidence intervals, Youden's Index for test quality criteria, and Fleiss' kappa statistics.
Results: Overall, readers were able to correctly identify the presence of COVID-19 pneumonia in 219/240 (sensitivity: 91 %; 95 %-CI; 86.9 %-94.5 %), and to correctly attribute CT findings to COVID-19 mimics in 159/240 ratings (specificity: 66.3 %; 59.9 %-72.2 %), yielding an overall diagnostic accuracy of 78.8 % (378/480; 74.8 %-82.3 %). Individual reader accuracy ranged from 74.2 % (89/120) to 84.2 % (101/120) and did not correlate significantly with reader expertise. Youden's Index was 0.57. Between-reader agreement was moderate (κ = 0.53).
Conclusion: In this enriched cohort, radiologists were able to distinguish COVID-19 from "COVID-19 mimics" with moderate diagnostic accuracy. Accuracy did not correlate with reader expertise.
Key Points: · In a scenario of direct comparison (no negative findings), CT allows the differentiation of COVID-19 from other atypical pneumonias ("COVID mimics") with moderate accuracy.. · Reader expertise did not significantly influence these results.. · Despite similar patterns and distributions of pulmonary findings, radiologists were able to estimate the probability of COVID-19 pneumonia using the COV-RADS classification in a standardized manner in the larger proportion of cases..
Citation Format: · Sähn M, Yüksel C, Keil S et al. Accuracy of Chest CT for Differentiating COVID-19 from COVID-19 Mimics. Fortschr Röntgenstr 2021; 193: 1081 - 1091.
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http://dx.doi.org/10.1055/a-1388-7950 | DOI Listing |
Womens Health (Lond)
January 2025
Unit of Oncological Gynecology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Background: The Coronavirus Disease (COVID-19) has had a significant impact on healthcare organizations, leading to a reduction in screening. The pandemic period has caused important psychological repercussions in the most fragile patients.
Objectives: This study aimed to assess the levels of depression, anxiety, peri-traumatic stress, and physical symptoms in patients undergoing colposcopy during the COVID-19 pandemic and to compare these data with the post-pandemic period.
Clin Cardiol
January 2025
Second Department of Internal Medicine, University of Toyama, Toyama, Japan.
J Coll Physicians Surg Pak
January 2025
Department of Psychiatry, The Aga Khan University Hospital, Karachi, Pakistan.
Objective: To determine referral patterns for psychiatric consultations among COVID-19 patients encompassing both the in-patient and Emergency Department of a multidisciplinary hospital in Karachi, Pakistan.
Study Design: A retrospective chart review. Place and Duration of the Study: The Aga Khan University Hospital, Karachi, Pakistan, from March 2020 to December 2021.
J Coll Physicians Surg Pak
January 2025
Department of Pathology, National Institute of Cardiovascular Diseases, Karachi, Pakistan.
Objective: To determine the frequency of multidrug-resistant (MDR) bacterial isolates in respiratory specimens obtained from ventilated patients admitted to critical care units at the National Institute of Cardiovascular Diseases (NICVD), along with COVID-19-positive cases.
Study Design: An observational study. Place and Duration of the Study: National Institute of Cardiovascular Diseases, between November 2021 and March 2022.
BMC Psychol
January 2025
School of Management, Shanghai Sanda University, Shanghai, 201209, China.
The outbreak of COVID-19 led to the emergence of various forms of mutual aid. While prior research has demonstrated that mutual aid can contribute to participants' subjective well-being, the majority of these studies are qualitative and lack clear understanding of the underlying mechanisms. Using a questionnaire survey and structural equation modeling, this study finds that mutual aid significantly enhances the subjective well-being of participants in China.
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