Chest computed tomography and plain radiographs demonstrate vascular distribution and characteristics in COVID-19 lung disease - a pulmonary vasculopathy.

The Ulster medical journal Pub Date : 2025-04-01 Epub Date: 2025-04-30
Graham Lloyd-Jones, James Shambrook, Alastair Watson, Anna Freeman, Tom M A Wilkinson
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Abstract

Introduction: Early in the COVID-19 pandemic, CT was demonstrated as a sensitive tool for diagnosing COVID-19. We undertook a detailed study of CT scans in COVID-19 patients to characterise disease distribution within lung parenchyma, respiratory airways, and pulmonary vasculature, aiming to delineate underlying disease processes.

Methods: We characterised acute phase chest CT of 40 participants with COVID-19 from the REACT study, 31 with CT pulmonary angiography (CTPA), 4 with intravenous contrast enhanced CT and 5 with non-intravenous contrast enhanced CT. Participants had neither been vaccinated nor received systemic steroids. We further correlated the distribution of lung parenchymal damage on CT with contemporaneous chest radiographs.

Results: Parenchymal lung damage was found in all subjects. However, airways inflammation was present in only 23% (9) and limited to small areas. Notably, vascular abnormalities were dominant and characterised by dilated peripheral pulmonary vessels supplying areas of lung damage in a gravity-dependent distribution bilaterally in 95% (38), basally in 90% (36), peripherally in 92.5% (37), and posteriorly in 90% (36). Macrothrombosis was demonstrated in 23% (7) of CTPAs. Wedge-shaped peripheral lung damage, resembling areas of pulmonary vascular congestion, were distinct in 53% (21) with or without visible macrothrombosis. Pleural effusions were seen in 28% (11). Notably, lung opacification distribution in 98% of the plain radiographs matched distribution on CT (39).

Conclusion: Our study frames COVID-19 as a pulmonary vasculopathy rather than a more conventional pneumonia which may be important not only for guiding mechanistic study design but also for the development of novel targeted therapeutics.

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胸部计算机断层扫描和x线平片显示COVID-19肺部疾病(肺血管病变)的血管分布和特征。
在COVID-19大流行早期,CT被证明是诊断COVID-19的敏感工具。我们对COVID-19患者的CT扫描进行了详细研究,以表征疾病在肺实质、呼吸道和肺血管中的分布,旨在描述潜在的疾病过程。方法:我们对来自REACT研究的40名COVID-19参与者的急性期胸部CT进行了表征,其中31人使用CT肺血管造影(CTPA), 4人使用静脉增强CT, 5人使用非静脉增强CT。参与者既没有接种疫苗,也没有接受全身类固醇。我们进一步将CT上肺实质损伤的分布与同期胸片相关联。结果:所有受试者均出现肺实质损伤。然而,气道炎症仅占23%(9),且仅限于小区域。值得注意的是,血管异常占主导地位,其特征是肺外周血管扩张,呈双侧重力依赖分布,供应肺损伤区域,95%(38),90%(36),92.5%(37),90%(36)。23%(7)的ctpa患者出现宏观血栓形成。楔形外周肺损伤,类似于肺血管充血区,在53%(21)中明显伴有或不伴有明显的大血栓形成。28%(11)见胸腔积液。值得注意的是,98%的x平片上的肺混浊分布与CT上的分布相匹配(39)。结论:我们的研究将COVID-19定义为肺血管病变,而不是更传统的肺炎,这不仅对指导机制研究设计很重要,而且对开发新的靶向治疗方法也很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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