Lung ultrasound education: simulation and hands-on.

Lung ultrasound education: simulation and hands-on.
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肺部超声教育:模拟和实践。

DOI:
10.1259/bjr.20200755
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发表时间:
2021-03-01
期刊:
The British journal of radiology
影响因子:
--
通讯作者:
McLaughlan JR
McLaughlan JR
中科院分区:
其他
文献类型:
--
作者:
Wolstenhulme S;McLaughlan JR

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COVID-19可对肺部造成损害,从而导致进行性呼吸衰竭和潜在死亡。胸部X线摄影和CT是用于诊断和监测COVID-19患者的成像工具。COVID-19期间的肺部超声(LUS)在某些领域被用于辅助决策和改善患者护理。然而,它的增加使用可能有助于改善疑似COVID-19或其他肺部疾病患者的现有做法。LUS的局限性在于,它需要具有足够能力的从业者来确保及时、安全和诊断性的临床/成像评估。本评论讨论了LUS在COVID-19大流行期间及之后的角色和治理,以及在限制对高传染性患者进行成像的情况下,如何加强这一学科的教育和培训。模拟的使用,虽然数值方法或专用扫描训练器,和机器学习算法可以进一步提高LUS的准确性,同时有助于减少其学习曲线,以便在临床实践中更好地吸收。
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.
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