Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.
Department of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou 310016, China.
J Healthc Eng. 2021 Feb 9;2021:7594513. doi: 10.1155/2021/7594513. eCollection 2021.
Endoscopic optical imaging technologies for the detection and evaluation of dysplasia and early cancer have made great strides in recent decades. With the capacity of in vivo early detection of subtle lesions, they allow modern endoscopists to provide accurate and effective optical diagnosis in real time. This review mainly analyzes the current status of clinically available endoscopic optical imaging techniques, with emphasis on the latest updates of existing techniques. We summarize current coverage of these technologies in major hospital departments such as gastroenterology, urology, gynecology, otolaryngology, pneumology, and laparoscopic surgery. In order to promote a broader understanding, we further cover the underlying principles of these technologies and analyze their performance. Moreover, we provide a brief overview of future perspectives in related technologies, such as computer-assisted diagnosis (CAD) algorithms dealing with exploring endoscopic video data. We believe all these efforts will benefit the healthcare of the community, help endoscopists improve the accuracy of diagnosis, and relieve patients' suffering.
近几十年来,用于检测和评估发育不良和早期癌症的内镜光学成像技术取得了重大进展。这些技术具有体内早期检测细微病变的能力,使现代内镜医生能够实时提供准确有效的光学诊断。本综述主要分析了目前临床可用的内镜光学成像技术的现状,重点介绍了现有技术的最新进展。我们总结了这些技术在胃肠病学、泌尿科、妇产科、耳鼻喉科、肺病学和腹腔镜手术等主要医院科室的应用情况。为了促进更广泛的理解,我们进一步涵盖了这些技术的基本原理,并分析了它们的性能。此外,我们还简要概述了相关技术的未来展望,例如计算机辅助诊断(CAD)算法在探索内镜视频数据方面的应用。我们相信所有这些努力都将有益于社区的医疗保健,帮助内镜医生提高诊断的准确性,并减轻患者的痛苦。