An integrated radiologic-pathologic understanding of COVID-19 pneumonia

JH Lee, J Koh, YK Jeon, JM Goo, SH Yoon - Radiology, 2023 - pubs.rsna.org
This article reviews the radiologic and pathologic findings of the epithelial and endothelial
injuries in COVID-19 pneumonia to help radiologists understand the fundamental nature of …

[HTML][HTML] Towards the adoption of quantitative computed tomography in the management of interstitial lung disease

SLF Walsh, J De Backer, H Prosch… - European …, 2024 - Eur Respiratory Soc
The shortcomings of qualitative visual assessment have led to the development of computer-
based tools to characterise and quantify disease on high-resolution computed tomography …

American Society of Echocardiography COVID-19 Statement Update: Lessons Learned and Preparation for Future Pandemics

JN Kirkpatrick, M Swaminathan, A Adedipe… - Journal of the American …, 2023 - Elsevier
The COVID-19 pandemic has evolved since the publication of the initial American Society of
Echocardiography (ASE) statements providing guidance to echocardiography laboratories …

A pictorial essay describing the CT imaging features of COVID-19 cases throughout the pandemic with a special focus on lung manifestations and extrapulmonary …

B Brogna, E Bignardi, A Megliola, A Laporta… - Biomedicines, 2023 - mdpi.com
With the Omicron wave, SARS-CoV-2 infections improved, with less lung involvement and
few cases of severe manifestations. In this pictorial review, there is a summary of the …

Respiratory syncytial virus: a systematic review and meta-analysis of tomographic findings (2000–2022)

M Ricco, S Corrado, S Palmieri, F Marchesi - Children, 2023 - mdpi.com
Human respiratory syncytial virus (RSV) is a main cause of medical referrals and
hospitalizations in all infants, particularly among newborns. Nevertheless, relatively limited …

Diagnostic performance of standardized typical CT findings for COVID-19: a systematic review and meta-analysis

BD Nam, H Hong, SH Yoon - Insights into Imaging, 2023 - Springer
Objective To meta-analyze diagnostic performance measures of standardized typical CT
findings for COVID-19 and examine these measures by region and national income …

Diagnostic performance in differentiating COVID-19 from other viral pneumonias on CT imaging: multi-reader analysis compared with an artificial intelligence-based …

F Rizzetto, L Berta, G Zorzi, A Cincotta, F Travaglini… - Tomography, 2022 - mdpi.com
Growing evidence suggests that artificial intelligence tools could help radiologists in
differentiating COVID-19 pneumonia from other types of viral (non-COVID-19) pneumonia …

Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the AJR Special Series on AI Applications

MD Li, K Chang, X Mei, A Bernheim… - American Journal of …, 2022 - Am Roentgen Ray Soc
Please see the Editorial Comment by Tessa S. Cook discussing this article. Hundreds of
imaging-based artificial intelligence (AI) models have been developed in response to the …

COVID-19 pneumonia: the great ultrasonography mimicker

D Lacedonia, CMI Quarato, A Mirijello… - Frontiers in …, 2021 - frontiersin.org
The pandemic spread of the new severe acute respiratory syndrome coronavirus 2 has
raised the necessity to identify an appropriate imaging method for early diagnosis of …

The Short and Long of COVID-19: A Review of Acute and Chronic Radiologic Pulmonary Manifestations of SARS-2-CoV and Their Clinical Significance

S Simpson, M Hershman… - Clinics in Chest …, 2024 - chestmed.theclinics.com
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