scholarly journals The potential application of dual-energy subtraction radiography for COVID-19 pneumonia imaging

2021 ◽  
pp. 20201384
Author(s):  
Brent van der Heyden

X-ray imaging plays a crucial role in the confirmation of COVID-19 pneumonia. Chest X-ray radiography and CT are two major imaging techniques that are currently adopted in the diagnosis of COVID-19 pneumonia. However, dual-energy subtraction radiography is hardly discussed as potential COVID-19 imaging application. More advanced X-ray radiography equipment often supports dual-energy subtraction X-ray radiography. Dual-energy subtraction radiography enables the calculation of pseudo-radiographs, in which bones are removed and only soft-tissues are highlighted. In this commentary, the author would like to draw the attention to the potential use of dual-energy subtraction X-ray radiography (i.e. soft-tissue pseudo-radiography) for the assessment and the longitudinal follow-up of COVID-19 pneumonia.

2021 ◽  
Vol 14 (4) ◽  
pp. e240320
Author(s):  
Sarah Akbar ◽  
Rajeev Advani ◽  
Rohini Aggarwal

A previously well 36-year-old woman presented with a 2-day history of a tender left-sided neck mass associated with left-sided otalgia and odynophagia. On examination, there was a diffuse, tender swelling of the left anterior triangle of the neck with extension onto the anterior chest wall. Ultrasound and CT scans of the neck revealed extensive inflammatory changes in the soft tissues of the neck and a chest X-ray showed blunting of both costophrenic angles. A diagnostic pleural aspiration was subsequently performed and yielded chyle. The patient was commenced on total parenteral nutrition and placed on a low-fat diet; symptoms completely resolved within 5 days, and at follow-up at 6 weeks, there were no further episodes or complications. Bilateral spontaneous chylothorax is a rarely reported phenomenon in the literature; it has been reported in females following the possibility of minor physical exercise such as stretching or hyperextension of the neck.


2020 ◽  
Author(s):  
Kabid Hassan Shibly ◽  
Samrat Kumar Dey ◽  
Md. Tahzib Ul Islam ◽  
Md. Mahbubur Rahman

COVID-19 or novel coronavirus disease, which has already been declared as a worldwide pandemic, at first had an outbreak in a small town of China, named Wuhan. More than two hundred countries around the world have already been affected by this severe virus as it spreads by human interaction. Moreover, the symptoms of novel coronavirus are quite similar to the general flu. Screening of infected patients is considered as a critical step in the fight against COVID-19. Therefore, it is highly relevant to recognize positive cases as early as possible to avoid further spreading of this epidemic. However, there are several methods to detect COVID-19 positive patients, which are typically performed based on respiratory samples and among them one of the critical approach which is treated as radiology imaging or X-Ray imaging. Recent findings from X-Ray imaging techniques suggest that such images contain relevant information about the SARS-CoV-2 virus. In this article, we have introduced a Deep Neural Network (DNN) based Faster Regions with Convolutional Neural Networks (Faster R-CNN) framework to detect COVID-19 patients from chest X-Ray images using available open-source dataset. Our proposed approach provides a classification accuracy of 97.36%, 97.65% of sensitivity, and a precision of 99.28%. Therefore, we believe this proposed method might be of assistance for health professionals to validate their initial assessment towards COVID-19 patients.


Diagnostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1783
Author(s):  
Francesco Sansone ◽  
Marina Attanasi ◽  
Paola Di Filippo ◽  
Giuseppe Francesco Sferrazza Papa ◽  
Sabrina Di Pillo ◽  
...  

Respiratory infection diseases are among the major causes of morbidity and mortality in children. Diagnosis is focused on clinical presentation, yet signs and symptoms are not specific and there is a need for new non-radiating diagnostic tools. Among these, lung ultrasound (LUS) has recently been included in point-of-care protocols showing interesting results. In comparison to other imaging techniques, such as chest X-ray and computed tomography, ultrasonography does not use ionizing radiations. Therefore, it is particularly suitable for clinical follow-up of paediatric patients. LUS requires only 5–10 min and allows physicians to make quick decisions about the patient’s management. Nowadays, LUS has become an early diagnostic tool to detect pneumonia during the COVID-19 pandemic. In this narrative review, we show the most recent scientific literature about advantages and limits of LUS performance in children. Furthermore, we discuss the major paediatric indications separately, with a paragraph fully dedicated to COVID-19. Finally, we mention potential future perspectives about LUS application in paediatric respiratory diseases.


1970 ◽  
Vol 24 (2) ◽  
pp. 75-78
Author(s):  
MA Hayee ◽  
QD Mohammad ◽  
H Rahman ◽  
M Hakim ◽  
SM Kibria

A 42-year-old female presented in Neurology Department of Sir Salimullah Medical College with gradually worsening difficulty in talking and eating for the last four months. Examination revealed dystonic tongue, macerated lips due to continuous drooling of saliva and aspirated lungs. She had no history of taking antiparkinsonian, neuroleptics or any other drugs causing dystonia. Chest X-ray revealed aspiration pneumonia corrected later by antibiotics. She was treated with botulinum toxin type-A. Twenty units of toxin was injected in six sites of the tongue. The dystonic tongue became normal by 24 hours. Subsequent 16 weeks follow up showed very good result and the patient now can talk and eat normally. (J Bangladesh Coll Phys Surg 2006; 24: 75-78)


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