首页> 外文期刊>Respiration: International Review of Thoracic Diseases >Distribution of breath sound images in patients with pneumothoraces compared to healthy subjects. Diagnostic yield of vibration response imaging technology.
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Distribution of breath sound images in patients with pneumothoraces compared to healthy subjects. Diagnostic yield of vibration response imaging technology.

机译:与健康受试者相比,气胸患者的呼吸声图像分布。振动响应成像技术的诊断率。

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BACKGROUND: Vibration response imaging (VRI) is a new technology that provides a radiation-free dynamic lung image from the vibrations produced by airflow. The vibration energy from the respiratory cycle can be quantified for any lung region. This is obtained by integrating the energy profiles from 42 acoustic sensors placed on the patient's back. OBJECTIVE: The aim of this study was to evaluate whether a physician trained in interpreting acoustic images can accurately distinguish between normal and abnormal breath sound distribution in patients with pneumothoraces compared to healthy controls. METHODS: In total, 14 patients with spontaneous or iatrogenic pneumothoraces and 15 healthy volunteers were enrolled in the study. VRI recordings and physical examination were obtained in all cases. Chest radiographs (CXRs) were reviewed in patients with pneumothoraces. Dynamic images recorded during one complete respiratory cycle were analyzed for each subject. RESULTS: The VRI images of patients with pneumothoraces demonstrated a reduction in the vibration response on the affected side which correlated with the CXR. Sensitivity was 100%, specificity was 87% and positive predictive value and negative predictive value were 86 and 100%, respectively. CONCLUSIONS: This study demonstrates that VRI can be safely used to assess patients with pneumothoraces. Moreover, the analysis of breath sound distribution images obtained noninvasively can distinguish between patients with a normal chest examination from those with pneumothoraces.
机译:背景:振动响应成像(VRI)是一项新技术,可从气流产生的振动中提供无辐射的动态肺部图像。来自呼吸循环的振动能量可以针对任何肺区域进行量化。这是通过整合来自放置在患者背部的42个声学传感器的能量分布而获得的。目的:本研究的目的是评估与健康对照相比,接受过声像解释训练的医师能否准确地区分气胸患者的正常和异常呼吸声分布。方法:共有14名自发性或医源性气胸患者和15名健康志愿者参加了研究。在所有情况下均获得了VRI记录和体格检查。对气胸患者进行了胸片(CXR)检查。对每个受试者分析在一个完整的呼吸周期中记录的动态图像。结果:气胸患者的VRI图像显示患侧的振动反应降低,这与CXR相关。敏感性为100%,特异性为87%,阳性预测值和阴性预测值分别为86和100%。结论:这项研究表明,VRI可以安全地用于评估气胸患者。此外,无创获得的呼吸声分布图像分析可以区分胸腔检查正常的患者和气胸患者。

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