Wijmans Lizzy, d'Hooghe Julia N S, Bonta Peter I, Annema Jouke T
aDepartment of Respiratory Medicine, Academic Medical Center, University of Amsterdam, The Netherlands *Lizzy Wijmans and Julia N.S. d'Hooghe contributed equally to the writing of this article.
Curr Opin Pulm Med. 2017 May;23(3):275-283. doi: 10.1097/MCP.0000000000000375.
Current imaging techniques (X-ray, computed tomography scan, ultrasound) have limitations in the identification and quantification of pulmonary diseases, in particular, on highly detailed level. The purpose of this review is to provide an overview of the current knowledge of innovative light- and laser-based imaging techniques that might fill this gap.
Optical coherence tomography (OCT) and confocal laser endomicroscopy (CLE) are high-resolution imaging techniques, which, combined with bronchoscopy, provide 'near histology' detailed imaging of the airway wall, lung parenchyma, mediastinal lymph nodes, and pulmonary vasculature. This article reviews the technical background of OCT and CLE, summarizes study results, and discusses its potential clinical applications for various pulmonary diseases.
Although investigational at the moment, OCT and CLE are promising innovative high-resolution optical imaging techniques for the airway wall, lung parenchyma, mediastinal lymph nodes, and pulmonary vasculature. Clinical applications might contribute to improved disease identification and quantification, guidance for interventions/biopsies, and patient selection for treatments. Development of validated identification and quantification image-analysis systems is key for the future application of these imaging techniques in pulmonary medicine.
当前的成像技术（X射线、计算机断层扫描、超声）在肺部疾病的识别和定量方面存在局限性，尤其是在高细节层面。本综述的目的是概述当前可能填补这一空白的基于光和激光的创新成像技术的知识。
光学相干断层扫描（OCT）和共聚焦激光内镜显微镜检查（CLE）是高分辨率成像技术，与支气管镜检查相结合，可对气道壁、肺实质、纵隔淋巴结和肺血管系统进行“近组织学”详细成像。本文回顾了OCT和CLE的技术背景，总结了研究结果，并讨论了其在各种肺部疾病中的潜在临床应用。
尽管目前仍处于研究阶段，但OCT和CLE是用于气道壁、肺实质、纵隔淋巴结和肺血管系统的有前景的创新高分辨率光学成像技术。临床应用可能有助于改善疾病的识别和定量、干预/活检的指导以及治疗的患者选择。开发经过验证的识别和定量图像分析系统是这些成像技术未来在肺部医学中应用的关键。
