Wang Yuelin, Gu Xingwang, Chen Youxin
Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences, Beijing, China.
Front Med (Lausanne). 2023 Jul 27;10:1221846. doi: 10.3389/fmed.2023.1221846. eCollection 2023.
Polypoidal choroidal vasculopathy (PCV) is a disease characterized by subretinal pigment epithelium (RPE) orange-red polypoidal lesions and abnormal branching neovascular networks (BNNs). In recent years, various non-invasive imaging technologies have rapidly developed, especially the emergence of optical coherence tomography angiography (OCTA), multi-spectral imaging, and other technologies, which enable the observation of more features of PCV. In addition, these technologies are faster and less invasive compared to indocyanine green angiography (ICGA). Multi-modal imaging, which combined multiple imaging techniques, provides important references for the diagnosis and treatment of PCV with the assistance of regression models, deep learning, and other algorithms. In this study, we reviewed the non-invasive imaging techniques, multi-modal imaging diagnosis, and multi-scene therapeutic applications of PCV, with the aim of providing a reference for non-invasive multi-modal diagnosis and treatment of PCV.
息肉样脉络膜血管病变(PCV)是一种以视网膜色素上皮(RPE)下橙红色息肉样病变和异常分支状新生血管网(BNNs)为特征的疾病。近年来,各种非侵入性成像技术迅速发展,尤其是光学相干断层扫描血管造影(OCTA)、多光谱成像等技术的出现,使得能够观察到PCV的更多特征。此外,与吲哚菁绿血管造影(ICGA)相比,这些技术速度更快且侵入性更小。结合多种成像技术的多模态成像,借助回归模型、深度学习等算法,为PCV的诊断和治疗提供了重要参考。在本研究中,我们回顾了PCV的非侵入性成像技术、多模态成像诊断及多场景治疗应用,旨在为PCV的非侵入性多模态诊断和治疗提供参考。