James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Global Technology and Innovation Department, Hill-Rom Services Pte Ltd., Singapore 768923, Singapore.
Sensors (Basel). 2023 Jul 7;23(13):6222. doi: 10.3390/s23136222.
Smart respiratory therapy is enabled by continual assessment of lung functions. This systematic review provides an overview of the suitability of equipment-to-patient acoustic imaging in continual assessment of lung conditions. The literature search was conducted using Scopus, PubMed, ScienceDirect, Web of Science, SciELO Preprints, and Google Scholar. Fifteen studies remained for additional examination after the screening process. Two imaging modalities, lung ultrasound (LUS) and vibration imaging response (VRI), were identified. The most common outcome obtained from eleven studies was positive observations of changes to the geographical lung area, sound energy, or both, while positive observation of lung consolidation was reported in the remaining four studies. Two different modalities of lung assessment were used in eight studies, with one study comparing VRI against chest X-ray, one study comparing VRI with LUS, two studies comparing LUS to chest X-ray, and four studies comparing LUS in contrast to computed tomography. Our findings indicate that the acoustic imaging approach could assess and provide regional information on lung function. No technology has been shown to be better than another for measuring obstructed airways; hence, more research is required on acoustic imaging in detecting obstructed airways regionally in the application of enabling smart therapy.
智能呼吸治疗得益于对肺部功能的持续评估。本系统评价概述了设备对患者声学成像在持续评估肺部状况方面的适用性。文献检索使用了 Scopus、PubMed、ScienceDirect、Web of Science、SciELO Preprints 和 Google Scholar。经过筛选过程,有 15 项研究仍需进一步检查。确定了两种成像方式,即肺部超声(LUS)和振动成像反应(VRI)。11 项研究中最常见的结果是观察到地理性肺区、声能或两者的变化,而其余 4 项研究报告了肺部实变的阳性观察结果。8 项研究中使用了两种不同的肺部评估方式,其中一项研究将 VRI 与胸部 X 光进行了比较,一项研究将 VRI 与 LUS 进行了比较,两项研究将 LUS 与胸部 X 光进行了比较,四项研究将 LUS 与计算机断层扫描进行了比较。我们的研究结果表明,声学成像方法可以评估并提供肺部功能的区域信息。目前还没有哪种技术在测量气道阻塞方面被证明优于另一种技术;因此,需要更多关于声学成像在智能治疗中检测气道阻塞区域的研究。