| Literature DB >> 33353379 |
Stephen Wolstenhulme1, James Ross McLaughlan2,3.
Abstract
COVID-19 can cause damage to the lung, which can result in progressive respiratory failure and potential death. Chest radiography and CT are the imaging tools used to diagnose and monitor patients with COVID-19. Lung ultrasound (LUS) during COVID-19 is being used in some areas to aid decision-making and improve patient care. However, its increased use could help improve existing practice for patients with suspected COVID-19, or other lung disease. A limitation of LUS is that it requires practitioners with sufficient competence to ensure timely, safe, and diagnostic clinical/imaging assessments. This commentary discusses the role and governance of LUS during and beyond the COVID-19 pandemic, and how increased education and training in this discipline can be undertaken given the restrictions in imaging highly infectious patients. The use of simulation, although numerical methods or dedicated scan trainers, and machine learning algorithms could further improve the accuracy of LUS, whilst helping to reduce its learning curve for greater uptake in clinical practice.Entities:
Mesh:
Year: 2020 PMID: 33353379 PMCID: PMC8011243 DOI: 10.1259/bjr.20200755
Source DB: PubMed Journal: Br J Radiol ISSN: 0007-1285 Impact factor: 3.039
Figure 2.Shows images of a neonatal LUS acquired using a GE S7 with a C 2–9 MHz probe. (a) and b) show b-lines (red asterisks) without (a) and with (b) advanced image processing. (c) neonatal LUS showing ribs (white arrows), a thickened pleural line, and coalescent b-lines ‘white lung’ (red +) with advanced image processing and a high dynamic range.
Figure 1.Shows images acquired using a GE E9 with a C 1–6 MHz probe. (a) A lung ultrasound (LUS) scan of an adult COVID-19 patient with a thickened irregular pleural line (white arrow) and b-lines (red asterisk box), (b) LUS of an adult COVID-19 patient with b-lines, and coalescent b-lines “white lung”(red +box), (c) and d) LUS phantom images with a-lines (yellow arrows), coalescent b-lines “white lung”(red +box) and a small sub pleural consolidation (green arrow). (c) is without advanced image processing (compound -(CI), speckle reduction- (SRI), tissue harmonic imaging (THI)) and low dynamic range (DR) 57), and d) with advanced image processing (the highest-level of CI and SRI, THI and high DR 72).