Filtered By:
Procedure: CT Scan
This page shows you your search results in order of date. This is page number 2.
Order by Relevance | Date
Total 5712 results found since Jan 2013.
Computed tomography findings in COVID-19 and atypical pneumonia: a comparative study
Conclusions: There were significant differences between the CT patterns of patients with COVID-19 and other atypical pneumonia. The presence of patchy consolidations, GGO, crazy paving patterns with typical peripheral, bilateral distribution, and absence of centrilobular nodules, pleural effusion, and multifocal consolidations may help to differentiate COVID-19 from atypical pneumonia.
Source: The Journal of Infection in Developing Countries - August 30, 2023 Category: Infectious Diseases Authors: Esra Çıvgın, İzzet Selçuk Parlak, Yasin Celal Güneş, Gülsüm Kübra Bahadır, Ayşegül Karalezli Source Type: research
Could ischemia-modified albumin levels predict the severity of disease in SARS-CoV-2 infection?
Conclusions: We analyzed a sample of patients with COVID-19 infection and found that IMA predicted severe COVID-19 disease. Disease severity grouping was based on patients ' clinical and radiological features. IMA level measured when SARS-CoV-2 infection is diagnosed may be a useful marker in predicting likely disease severity or intensive care need.
Source: The Journal of Infection in Developing Countries - August 30, 2023 Category: Infectious Diseases Authors: Mustafa Tanr ıverdi, Nevhiz Gündoğdu, Necla Benlier, Mustafa Yıldırım, Hale Çeliktürk, Hanifi Ayhan Özkur, Pınar Günel Karadeniz, Gülşen Özkan Tanrıverdi, Hülya Çiçek Source Type: research
Computed tomography findings in COVID-19 and atypical pneumonia: a comparative study
Conclusions: There were significant differences between the CT patterns of patients with COVID-19 and other atypical pneumonia. The presence of patchy consolidations, GGO, crazy paving patterns with typical peripheral, bilateral distribution, and absence of centrilobular nodules, pleural effusion, and multifocal consolidations may help to differentiate COVID-19 from atypical pneumonia.
Source: The Journal of Infection in Developing Countries - August 30, 2023 Category: Infectious Diseases Authors: Esra Çıvgın, İzzet Selçuk Parlak, Yasin Celal Güneş, Gülsüm Kübra Bahadır, Ayşegül Karalezli Source Type: research
Pulmonary embolism in COVID-19 pneumonia patients admitted to temporary hospital - The follow-up study
CONCLUSIONS: Ongoing SARS-CoV-2 infection along with massive involvement of lung tissue and concomitant thrombi in pulmonary arteries are challenging for physicians. It seems that simple D-dimer concentration assessment at admission may be a helpful tool not only to predict PE but also to estimate the long-term prognosis.PMID:37633116 | DOI:10.1016/j.advms.2023.08.002
Source: Advances in Medical Sciences - August 26, 2023 Category: Biomedical Science Authors: Tomasz Lewczuk Remigiusz Kazimierczyk Bozena Sobkowicz Anna Lisowska Source Type: research
Influence of socio-economic status on functional recovery after ARDS caused by SARS-CoV-2: the multicentre, observational RECOVIDS study
ConclusionsIn COVID-19 ARDS survivors, socio-economic status had no significant influence on respiratory sequelae 6 months after ICU discharge.
Source: Intensive Care Medicine - August 24, 2023 Category: Intensive Care Source Type: research
Elevated HSP70 and HSP90 as Predictive Markers of Immune Activation and Lung Injury in SARS-COV-2 Disease
CONCLUSION: HSP90 and HSP70 contribute to excessive immune responses and cytokine storms. They may serve as prognostic serum markers for COVID-19 lung injury. Additionally, they are candidates for anti-inflammatory therapy.PMID:37606151 | DOI:10.22034/iji.2023.97202.2488
Source: Iranian Journal of Immunology - August 22, 2023 Category: Allergy & Immunology Authors: Zivar Zangeneh Gholamreza Khamisipour Source Type: research
Deep Learning for Medical Imaging: Use Cases and Network Types
Conclusion
Medical image analysis solutions powered by deep learning technologies can reduce the risk of diagnostic errors and ensure timely interventions. But how to implement such a tool successfully? The key to successful deployment is cooperation with an experienced machine-learning solutions provider. Professional technical experts will help you choose an optimal architecture for your clinic’s specific goals and ensure effective model training.
About Mariia Kovalova
Mariia Kovalova is a Healthcare Technology Researcher at Itransition, a custom software development company headquartered in Denver, CO. Having work...
Source: EMR and HIPAA - August 18, 2023 Category: Information Technology Authors: Guest Author Tags: AI/Machine Learning Health IT Company Healthcare IT CNN Convolutional Neural Networks Deep Learning GAN Generative Adversarial Networks Healthcare AI Healthcare Neural Networks Itransition MADGAN Mariia Kovalova Medical Imaging Source Type: blogs
Radiologic Features of T10 Paravertebral Muscle Sarcopenia: Prognostic Factors in COVID-19
CONCLUSIONS: Easy to obtain and accurately calculated, radiologic features can provide a reliable alternative to laboratory methods for predicting survival in COVID-19. Thoracic muscles' CSA measurement in the level of the T10 vertebra, an acclaimed prognostic imaging assessment that relates directly to CT-SS and inflammatory markers in COVID-19 pneumonia, is a fairly specific tool for survival prognosis.PMID:37575354 | PMC:PMC10416190 | DOI:10.14740/jocmr4963
Source: Clin Med Res - August 14, 2023 Category: Research Authors: Georgios Schinas Vasiliki Dimakopoulou Konstantinos Dionysopoulos Georgia Fezoulidi Marianna Vlychou Katerina Vassiou Nikolaos K Gatselis Anna Samakidou Georgios Giannoulis Argyrios Tzouvelekis Markos Marangos Charalambos Gogos George N Dalekos Christina Source Type: research
