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用于预测视网膜静脉阻塞相关性黄斑水肿治疗反应的光学相干断层扫描、多模态成像和细胞因子标志物的综合评估:抗血管内皮生长因子和类固醇疗法的比较性综述

Integrated Assessment of OCT, Multimodal Imaging, and Cytokine Markers for Predicting Treatment Responses in Retinal Vein Occlusion Associated Macular Edema: A Comparative Review of Anti-VEGF and Steroid Therapies.

作者信息

Munk Marion R, Ceklic Lala, Stillenmunkes Richard, Chaudhary Varun, Waheed Nadia, Chhablani Jay, de Smet Marc D, Tillmann Anne

机构信息

Augenarzt Praxisgemeinschaft Gutblick, 8808 Pfäffikon, Switzerland.

Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.

出版信息

Diagnostics (Basel). 2024 Sep 7;14(17):1983. doi: 10.3390/diagnostics14171983.

Abstract

Retinal vein occlusion (RVO) is a significant cause of vision loss, characterized by the occlusion of retinal veins, leading to conditions such as central retinal vein occlusion (CRVO) and branch retinal vein occlusion (BRVO). Macular edema (ME), a prevalent consequence of RVO, is the primary cause of vision impairment in affected patients. Anti-VEGF agents have become the standard treatment, showing efficacy in improving visual acuity (VA) and reducing ME. However, a subset of patients exhibit a suboptimal response to anti-VEGF therapy, necessitating alternative treatments. Corticosteroids, which address inflammatory pathways implicated in ME, have shown promise, particularly in cases resistant to anti-VEGF. This review aims to identify biomarkers that predict treatment response to corticosteroids in RVO-associated ME, utilizing multimodal imaging and cytokine assessments. Baseline imaging, including SD-OCT and OCT-A, is essential for evaluating biomarkers like hyperreflective foci (HRF), serous retinal detachment (SRF), and central retinal thickness (CRT). Elevated cytokine levels, such as IL-6 and MCP-1, correlate with ME severity and poor anti-VEGF response. Early identification of these biomarkers can guide timely transitions to corticosteroid therapy, potentially enhancing treatment outcomes. The practical conclusion of this review is that integrating biomarker assessment into clinical practice enables personalized treatment decisions, allowing for earlier and more effective management of RVO-associated ME by transitioning patients to corticosteroid therapy when anti-VEGF agents are insufficient. Advanced diagnostics and machine learning may further refine personalized treatment strategies, improving the management of RVO-associated ME.

摘要

视网膜静脉阻塞(RVO)是视力丧失的一个重要原因,其特征是视网膜静脉阻塞,可导致诸如中央视网膜静脉阻塞(CRVO)和视网膜分支静脉阻塞(BRVO)等病症。黄斑水肿(ME)是RVO的常见后果,是受影响患者视力损害的主要原因。抗血管内皮生长因子(VEGF)药物已成为标准治疗方法,在提高视力(VA)和减轻ME方面显示出疗效。然而,一部分患者对抗VEGF治疗反应欠佳,需要替代治疗。针对ME中涉及的炎症途径的皮质类固醇已显示出前景,特别是在对抗VEGF耐药的病例中。本综述旨在利用多模态成像和细胞因子评估,确定预测RVO相关ME对皮质类固醇治疗反应的生物标志物。包括频域光学相干断层扫描(SD-OCT)和光学相干断层扫描血管造影(OCT-A)在内的基线成像,对于评估诸如高反射灶(HRF)、浆液性视网膜脱离(SRF)和中央视网膜厚度(CRT)等生物标志物至关重要。细胞因子水平升高,如白细胞介素-6(IL-6)和单核细胞趋化蛋白-1(MCP-1),与ME严重程度和抗VEGF反应不佳相关。这些生物标志物的早期识别可以指导及时转向皮质类固醇治疗,有可能提高治疗效果。本综述的实际结论是,将生物标志物评估纳入临床实践能够实现个性化治疗决策,通过在抗VEGF药物不足时将患者转向皮质类固醇治疗,对RVO相关ME进行更早、更有效的管理。先进的诊断和机器学习可能会进一步完善个性化治疗策略,改善RVO相关ME的管理。

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