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COVID-19 progression in hospitalized patients using follow-up < em > in vivo < /em > CT and < em > ex vivo < /em > microCT
CONCLUSIONS: COVID-19-ARDS and subsequent pulmonary fibrosis alters lung architecture and airway morphology which is described using in vivo CT, ex vivo microCT, and histology.PMID:37559650 | PMC:PMC10407474 | DOI:10.21037/jtd-22-1488
Source: Journal of Thoracic Disease - August 10, 2023 Category: Respiratory Medicine Authors: Vincent Geudens Jan Van Slambrouck Gitte Aerts Lynn Willems Tinne Goos Janne Kaes Andrea Zajacova Iwein Gyselinck Celine Aelbrecht Astrid Vermaut Hanne Beeckmans Marie Vermant Charlotte De Fays Annelore Sacreas Lucia Aversa Michaela Orlitova Arno Vanstape Source Type: research

Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis
Conclusions Imaging abnormalities were common 3 months after COVID-19 and their occurrence was significantly related to the presence of dyspnoea. This suggests that CT imaging is a sensitive tool for detecting pulmonary abnormalities in patients with dyspnoea, even in the presence of normal spirometric measurements.
Source: European Respiratory Review - August 9, 2023 Category: Respiratory Medicine Authors: Guinto, E., Gerayeli, F. V., Eddy, R. L., Lee, H., Milne, S., Sin, D. D. Tags: Respiratory clinical practice, Respiratory infections and tuberculosis Reviews Source Type: research

CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations
We present a radiogenomics framework to derive image features (ACE2-RGF) associated with ACE2 expression data from LUAD. The ACE2-RGF was then used as a surrogate biomarker for ACE2 expression. We adopted conventional feature selection techniques including ElasticNet and LASSO. Our results show that: i) the ACE2-RGF encoded a distinct collection of image features when compared to conventional techniques, ii) the ACE2-RGF can classify COVID-19 from normal subjects with a comparable performance to conventional fea ture selection techniques with an AUC of 0.92, iii) ACE2-RGF can effectively identify patients with critical ill...
Source: Journal of Digital Imaging - August 8, 2023 Category: Radiology Source Type: research

Predictors of Mortality among COVID-19 Patients Admitted to Intensive Care Units: A Single-Center Study in Tehran, Iran
CONCLUSION: The findings are consistent with and add to the currently existing international literature. The findings may be used to predict risk of mortality from COVID-19 and provide some guidance on potential treatments.PMID:37542399 | DOI:10.34172/aim.2022.106
Source: Archives of Iranian Medicine - August 5, 2023 Category: Middle East Health Authors: Arash Amini Atabak Najafi Arezoo Ahmadi Mojtaba Mojtahedzadeh Elahe Karimpour-Razkenari Hamidreza Sharifnia Shahriar Shahsavar Mistani Farin Kamangar Source Type: research