Poh Stanley S J, Sia Josh T, Yip Michelle Y T, Tsai Andrew S H, Lee Shu Yen, Tan Gavin S W, Weng Christina Y, Kadonosono Kazuaki, Kim Min, Yonekawa Yoshihiro, Ho Allen C, Toth Cynthia A, Ting Daniel S W
Singapore National Eye Centre, Singapore Eye Research Institute, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore.
Singapore National Eye Centre, Singapore Eye Research Institute, Singapore.
Ophthalmol Retina. 2024 Jul;8(7):633-645. doi: 10.1016/j.oret.2024.01.018. Epub 2024 Jan 26.
To review recent technological advancement in imaging, surgical visualization, robotics technology, and the use of artificial intelligence in surgical vitreoretinal (VR) diseases.
Technological advancements in imaging enhance both preoperative and intraoperative management of surgical VR diseases. Widefield imaging in fundal photography and OCT can improve assessment of peripheral retinal disorders such as retinal detachments, degeneration, and tumors. OCT angiography provides a rapid and noninvasive imaging of the retinal and choroidal vasculature. Surgical visualization has also improved with intraoperative OCT providing a detailed real-time assessment of retinal layers to guide surgical decisions. Heads-up display and head-mounted display utilize 3-dimensional technology to provide surgeons with enhanced visual guidance and improved ergonomics during surgery. Intraocular robotics technology allows for greater surgical precision and is shown to be useful in retinal vein cannulation and subretinal drug delivery. In addition, deep learning techniques leverage on diverse data including widefield retinal photography and OCT for better predictive accuracy in classification, segmentation, and prognostication of many surgical VR diseases.
This review article summarized the latest updates in these areas and highlights the importance of continuous innovation and improvement in technology within the field. These advancements have the potential to reshape management of surgical VR diseases in the very near future and to ultimately improve patient care.
FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
回顾成像、手术可视化、机器人技术以及人工智能在手术性玻璃体视网膜（VR）疾病中的应用方面的最新技术进展。
成像技术的进步改善了手术性VR疾病的术前和术中管理。眼底摄影和光学相干断层扫描（OCT）中的广角成像可改善对周边视网膜疾病（如视网膜脱离、变性和肿瘤）的评估。OCT血管造影可对视网膜和脉络膜血管系统进行快速、无创成像。手术可视化也有所改善，术中OCT可对视网膜各层进行详细的实时评估，以指导手术决策。平视显示器和头戴式显示器利用三维技术，在手术过程中为外科医生提供增强的视觉引导并改善人体工程学。眼内机器人技术可实现更高的手术精度，已证明其在视网膜静脉插管和视网膜下药物递送中有用。此外，深度学习技术利用包括广角视网膜摄影和OCT在内的各种数据，在许多手术性VR疾病的分类、分割和预后预测方面具有更高的准确性。
本文综述总结了这些领域的最新进展，并强调了该领域技术持续创新和改进的重要性。这些进展有可能在不久的将来重塑手术性VR疾病的管理方式，并最终改善患者护理。
专有或商业披露信息可在本文末尾的脚注和披露中找到。
