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利用振动反应成像技术评估阻塞性肺疾病

Evaluation of obstructive lung disease with vibration response imaging.

作者信息

Guntupalli Kalpalatha K, Reddy Raghu M, Loutfi Rabih H, Alapat Philip M, Bandi Venkata D, Hanania Nicola A

机构信息

Baylor College of Medicine, Ben Taub General Hospital, 1504 Taub Loop, Houston, Texas 77030, USA.

出版信息

J Asthma. 2008 Dec;45(10):923-30. doi: 10.1080/02770900802395496.

Abstract

As optimal treatment and prognosis differ between asthma and COPD, a new diagnostic approach to differentiating between the two disorders would be clinically desirable. We evaluated the utility of vibration response imaging in differentiating between asthma and COPD. Sixty-six subjects with asthma or COPD were recorded, before and after the administration of a short-acting bronchodilator, using a computerized lung sound analysis device. Gray-scale images of breath sound distribution in the lungs, quantitative data in breath sound graphs (timing, amplitude) and automatic crackle and wheeze detection programs were used to differentiate between asthma and COPD subjects. Imaging data were compared with the clinical diagnosis, made by the standard methods (medical history, physical examination, and spirometric indices). Blinded evaluation of images demonstrated a significantly higher rate of improvement in image dynamics, shape and overall improvement following bronchodilator in subjects with asthma compared with those with COPD. Quantitative data showed distinct patterns in timing and amplitude for these two pathologies. Combined analyses based on qualitative image evaluation and quantitative data demonstrated an overall 85% accuracy (84% for asthma, 86% for COPD) in differentiating between asthma and COPD. Combined qualitative and quantitative evaluations of lung sounds are quite sensitive in distinguishing between lung sound recordings of COPD and asthma individuals. Lung sound features of synchronization in timing and intensity provide objective data that may further differentiate these two airway disorders.

摘要

由于哮喘和慢性阻塞性肺疾病(COPD)的最佳治疗方法和预后有所不同,临床上需要一种新的诊断方法来区分这两种疾病。我们评估了振动反应成像在区分哮喘和COPD方面的效用。使用计算机化肺音分析设备,在66名患有哮喘或COPD的受试者中,于使用短效支气管扩张剂前后进行了记录。利用肺部呼吸音分布的灰度图像、呼吸音图中的定量数据(时间、振幅)以及自动爆裂音和哮鸣音检测程序来区分哮喘和COPD受试者。将成像数据与通过标准方法(病史、体格检查和肺量计指标)做出的临床诊断进行比较。对图像的盲法评估显示,与COPD受试者相比,哮喘受试者在使用支气管扩张剂后,图像动态、形状和整体改善方面的改善率显著更高。定量数据显示了这两种病理情况在时间和振幅上的不同模式。基于定性图像评估和定量数据的综合分析表明,在区分哮喘和COPD方面总体准确率为85%(哮喘为84%,COPD为86%)。对肺音进行定性和定量相结合的评估在区分COPD和哮喘个体的肺音记录方面相当敏感。时间和强度同步的肺音特征提供了客观数据,可能进一步区分这两种气道疾病。

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