关键词: cerebral small vessel disease (CSVD) diagnosis neuro-ophtalmology retinal structure retinal vessel density

来  源:   DOI:10.3389/fnins.2024.1288380   PDF(Pubmed)

Abstract:
UNASSIGNED: Cerebral small vessel disease (CSVD) attaches people\'s attention in recent years. In this study, we aim to explore retinal structure and vessel density changes in CSVD patients.
UNASSIGNED: We collected information on retinal metrics assessed by optical coherence tomography (OCT) and OCT angiography and CSVD characters. Logistic and liner regression was used to analyze the relationship between retinal metrics and CSVD.
UNASSIGNED: Vessel density of superficial retinal capillary plexus (SRCP), foveal density- 300 length (FD-300), radial peripapillary capillary (RPC) and thickness of retina were significantly lower in CSVD patients, the difference only existed in the thickness of retina after adjusted relevant risk factors (OR (95% CI): 0.954 (0.912, 0.997), p = 0.037). SRCP vessel density showed a significant downward trend with the increase of CSVD scores (β: -0.087, 95%CI: -0.166, -0.008, p = 0.031). SRCP and FD-300 were significantly lower in patients with lacunar infarctions and white matter hypertensions separately [OR (95% CI): 0.857 (0.736, 0.998), p = 0.047 and OR (95% CI): 0.636 (0.434, 0.932), p = 0.020, separately].
UNASSIGNED: SRCP, FD-300 and thickness of retina were associated with the occurrence and severity of total CSVD scores and its different radiological manifestations. Exploring CSVD by observing alterations in retinal metrics has become an optional research direction in future.
摘要:
脑小血管病(CSVD)近年来受到人们的关注。在这项研究中,我们旨在探讨CSVD患者的视网膜结构和血管密度变化。
我们收集了通过光学相干断层扫描(OCT)和OCT血管造影和CSVD特征评估的视网膜指标信息。采用Logistic和线性回归分析视网膜指标与CSVD的关系。
浅表视网膜毛细血管丛(SRCP)血管密度,中央凹密度-300长度(FD-300),在CSVD患者中,放射状乳头周围毛细血管(RPC)和视网膜厚度显著降低,仅在校正相关危险因素后的视网膜厚度上存在差异(OR(95%CI):0.954(0.912,0.997),p=0.037)。SRCP血管密度随CSVD评分的增加呈显著下降趋势(β:-0.087,95CI:-0.166,-0.008,p=0.031)。在腔隙性脑梗死和白质高血压患者中,SRCP和FD-300分别显着降低[OR(95%CI):0.857(0.736,0.998),p=0.047和OR(95%CI):0.636(0.434,0.932),p=0.020,单独]。
SRCP,FD-300和视网膜厚度与CSVD总分的发生和严重程度及其不同的影像学表现有关。通过观察视网膜指标的变化来探索CSVD已成为未来的可选研究方向。
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