Ultrasonography and SARS-CoV 2 infection: a review of what we know and do not yet know

Dudea, Sorin M

doi:10.11152/mu-2612

Cited by 10 publications

(11 citation statements)

References 13 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the spectrum of ultrasound changes ranges from normal-looking lung parenchyma and the image of simple interstitial involvement to consolidation (pneumonia) patterns. The type and characteristics of ultrasound findings correlate well with the pathological changes taking place in the lungs ( 19 , 20 ).…”

Section: Introductionmentioning

confidence: 59%

“…Sixteen areas were scanned per patient, with a recording duration of 5–6 seconds per area, containing at least one complete respiratory cycle. The average time of LUS per patient was 7 minutes ( 13 , 14 , 20 ).…”

Section: Introductionmentioning

confidence: 99%

“…It is important to mention, that in the case of B1 and B2 severity classes, close attention must be paid to the pleural line. If pleural lesions are present, the letter “p” is precised, which means pleural involvement, a sign of disease severity ( 14 , 20 ). The LUS patterns corresponding to the components of A-BBC score system are presented in Figure 3 .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Pathophysiological background and clinical practice of lung ultrasound in COVID-19 patients – a short review

Ágoston¹

2020

Anatol J Cardiol

View full text Add to dashboard Cite

The pathological consequences of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are multiple, with interstitial pneumonia and consecutive respiratory failure being the most dangerous clinical manifestations. Timely diagnosis and follow-up of pulmonary involvement need a comprehensive imaging strategy, which includes standard chest X-ray, chest computed tomography and lung ultrasound (LUS). In the last 10 years, LUS has become a useful, bedside and easily reproducible tool for lung examination. In the first part of this review, we present the pathophysiological background, technical principles and practical aspects of LUS in patients with SARS-CoV-2 infection. In the second part, the main echographic findings, their interpretation, and the clinical applications of LUS are overviewed. The review ends with the presentation of our work methodology, illustrated with images recorded from COVID-19 patients in our department.

show abstract

Section: Introductionmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pathophysiological background and clinical practice of lung ultrasound in COVID-19 patients – a short review

Ágoston¹

2020

Anatol J Cardiol

View full text Add to dashboard Cite

show abstract

“…It could determine the workflow of the affected patients to the next step of care. (32) The physician may visit some asymptomatic patients who have taken a laboratory test on their own initiative and are bringing the test results themselves. The diagnostic testing should be simplified and available to healthcare providers to allow them to decide more rapidly and accurately.…”

Section: The Role Of Laboratory Data In Triagementioning

confidence: 99%

Coronavirus disease 2019: a revolution in biological triage in the emergency setting

et al. 2020

View full text Add to dashboard Cite

Triage is a familiar concept for all who work at the forefront of the treatment of patients and the emergency medical staff know their duty in different situations including crisis and epidemics. Accordingly, the coronavirus outbreak has also a major effect on the emergency department (ED) as it changes the routine ED function. Our main question was what are the main triage challenges in the recent pandemic and how we could overcome these challenges? Therefore, a search of the main Web databases was performed for articles published till May 1st, 2020 using various related keywords. In various steps, the title, summary, methodology, results, and discussion of the selected studies were assessed to find out the recent triage strategies in the COVID-19 outbreak. Hence, all the available and related English review articles, case series, and experimental studies were evaluated. Among 200 studies initially reviewed, 59 met the study criteria for the final assessment. COVID-19 puts a significant load on public health services and potential damage to social and psychiatric situations by marked morbidity and mortality. In line with the various presentations and according to the changing of the COVID-19 epidemic to a worldwide pandemic problem, the management and treatment protocols changed several times. Accordingly, the local and even global hospital protocols were changed as well. The first simple concept of coronavirus triage in an emergency department is the separation of COVID-19 infected patients from the others. This approach has been practiced around the world. Changing the ED layout from a usual triage or fast track set to an isolated room is necessary for such a pandemic situation. It is very important to consider staff communication and the application of PPE. All the efforts should be taken to protect patients as well as the medical staff from unnecessary exposure and infection; this serves to keep the health facilities working well in the outbreak and diffusion of SARS-CoV-2.

show abstract

“…The availability and use of POCUS screening helped in the identification of symptomatic patients having COVID-19 and does not require performing the RT-PCR test in the resource-constrained settings and during peak periods of a surge in COVID-19 [18]. In [19], it was suggested to use positive US signs as markers for identification of persons having COVID-19 unless otherwise proven negative by RT-PCR and suggested the possibility of a classification system based on US images (US-COVID-CORADS). The work presented here is an effort in the direction of building a model for classification and assessment of the lung damage although more analysis/efforts are required by capturing more data with different acquisition schemes.…”

Section: Introductionmentioning

confidence: 99%

Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19

Awasthi

Dayal

Cenkeramaddi

et al. 2021

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

View full text Add to dashboard Cite

Lung ultrasound (US) imaging has the potential to be an effective point-of-care test for detection of COVID-19, due to its ease of operation with minimal personal protection equipment along with easy disinfection. The current state-of-the-art deep learning models for detection of COVID-19 are heavy models that may not be easy to deploy in commonly utilized mobile platforms in point-of-care testing. In this work, we develop a lightweight mobile friendly efficient deep learning model for detection of COVID-19 using lung US images. Three different classes including COVID-19, pneumonia, and healthy were included in this task. The developed network, named as Mini-COVIDNet, was bench-marked with other lightweight neural network models along with state-of-the-art heavy model. It was shown that the proposed network can achieve the highest accuracy of 83.2% and requires a training time of only 24 min. The proposed Mini-COVIDNet has 4.39 times less number of parameters in the network compared to its next best performing network and requires a memory of only 51.29 MB, making the point-of-care detection of COVID-19 using lung US imaging plausible on a mobile platform. Deployment of these lightweight networks on embedded platforms shows that the proposed Mini-COVIDNet is highly versatile and provides optimal performance in terms of being accurate as well as having latency in the same order as other lightweight networks. The developed lightweight models are available at ht. tps://github.com/navchetan-awasthi/Mini-COVIDNet.

show abstract

Ultrasonography and SARS-CoV 2 infection: a review of what we know and do not yet know

Abstract: .

Cited by 10 publications

References 13 publications

Pathophysiological background and clinical practice of lung ultrasound in COVID-19 patients – a short review

Pathophysiological background and clinical practice of lung ultrasound in COVID-19 patients – a short review

Coronavirus disease 2019: a revolution in biological triage in the emergency setting

Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19

Contact Info

Product

Resources

About