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在离体猪肺模型中使用肺部超声表面波弹性成像对湿肺进行的一项初步研究。

A Pilot Study of Wet Lung Using Lung Ultrasound Surface Wave Elastography in an Ex Vivo Swine Lung Model.

作者信息

Zhang Xiaoming, Zhou Boran, Zhang Alex X

机构信息

Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.

Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA.

出版信息

Appl Sci (Basel). 2019 Sep 2;9(18). doi: 10.3390/app9183923. Epub 2019 Sep 19.

Abstract

Extravascular lung water (EVLW) is a basic symptom of congestive heart failure and other conditions. Computed tomography (CT) is standard to assess EVLW, but it requires ionizing radiation and radiology facilities. Lung ultrasound reverberation artifacts called B-lines have been used to assess EVLW. However, B-line artifact analysis relies on visual interpretation and subjects to inter-observer variability. We developed lung ultrasound surface wave elastography (LUSWE) to measure lung surface wave speed. This research aims to develop LUSWE to measure the change of lung surface wave speed due to lung water in an ex vivo swine lung model. The surface wave speeds of a fresh ex vivo swine lung were measured at four frequencies of 100 Hz, 200 Hz, 300 Hz, and 400 Hz. An amount of water was then filled into the lung through its trachea. Ultrasound imaging was used to guide the water filling until significant changes were visible on the imaging. The lung surface wave speeds were measured. An additional 120 ml of water was then filled into the lung. The lung surface wave speeds were then measured again. The results demonstrated that the lung surface wave speed decreased with respect to water content.

摘要

血管外肺水(EVLW)是充血性心力衰竭和其他病症的基本症状。计算机断层扫描(CT)是评估EVLW的标准方法,但它需要电离辐射和放射学设备。被称为B线的肺部超声混响伪像已被用于评估EVLW。然而,B线伪像分析依赖于视觉解读,并且存在观察者间的差异。我们开发了肺部超声表面波弹性成像(LUSWE)来测量肺表面波速度。本研究旨在开发LUSWE,以测量离体猪肺模型中由于肺水导致的肺表面波速度变化。在100Hz、200Hz、300Hz和400Hz四个频率下测量新鲜离体猪肺的表面波速度。然后通过气管向肺内注入一定量的水。使用超声成像来引导注水,直到在成像上可见明显变化。测量肺表面波速度。然后再向肺内注入120ml水。然后再次测量肺表面波速度。结果表明,肺表面波速度随含水量的增加而降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/434f/9400451/074bb61eb419/nihms-1776081-f0001.jpg

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