[Correlation of vasogenic white matter lesions and retinal vascular network parameters]

Zhonghua Yi Xue Za Zhi. 2019 Mar 5;99(9):658-663. doi: 10.3760/cma.j.issn.0376-2491.2019.09.005.
[Article in Chinese]

Abstract

Objective: To investigate the correlation of vasogenic white matter lesions with retinal vascular network parameters using fully automatic retinal image analysis of fundus photographs. Methods: A total of 106 patients with cerebral small vessel disease who were hospitalized in Department of Neurology, the First Affiliated Hospital of Sun Yat-sen University during March and October 2015, and were able to undertake cerebral MRI and fundus photography in a sitting position were included. They were divided into two groups (mild or moderate-severe) according to the Fazekas scores of periventricular white matter lesions and deep white matter lesions shown by MRI. The clinical data and retinal vascular network parameters were compared between mild and moderate-severe groups. Results: According to the severity of periventricular white matter lesions, Logistic regression analysis showed that after adjusting baseline information, decreased asymmetry index of artery (OR=1.71, 95%CI 1.02-2.88, P<0.05)was associated with periventricular white matter lesions. As for deep white matter lesions, Logistic regression analysis showed that after adjusting baseline information, decreased central retinal artery equivalent(OR=5.19, 95%CI 1.06-25.44, P<0.05), decreased asymmetry index of artery (OR=2.96, 95%CI 1.42-6.17, P<0.05), decreased asymmetry index of venule (OR=2.99, 95%CI 1.48-6.02, P<0.05) and increased central retinal vein equivalent (OR=0.14, 95%CI 0.03-0.67, P<0.05) were associated with deep white matter lesions. Conclusions: White matter lesions of different places could be contributed to different pathological process. Therefore, the early diagnosis and observation of them are applicable to different retinal vascular network parameters.

目的: 利用计算机辅助的全自动眼底照相分析技术,研究血管源性脑白质病变严重程度与眼底血管网络参数的相关性。 方法: 纳入2015年3—10月于中山大学附属第一医院神经科住院的能完成颅脑MR和坐位眼底照相的脑小血管病患者106例,分别对其颅脑MR显示的脑室旁脑白质病变及深部脑白质病变程度进行Fazekas评分,按照评分将患者分别分为轻度及中重度病变组。比较不同部位不同病变程度患者的基线临床资料和眼底血管网络参数。 结果: 依照脑室旁脑白质病变严重程度分组分析,校正基线信息后行Logistic回归分析显示,脑小动脉不对称性指数(OR=1.71,95%CI 1.02~2.88,P<0.05)的减小与中重度脑室旁脑白质病变风险增加有关。依照深部脑白质病变严重程度分析,校正基线信息后行Logistic回归分析显示,视网膜中央动脉直径等效值(OR=5.19,95%CI 1.06~25.44,P<0.05)、脑小动脉不对称指数(OR=2.96,95%CI 1.42~6.17,P<0.05)、脑小静脉不对称指数(OR=2.99,95%CI 1.48~6.02,P<0.05)的减小和视网膜中央静脉直径等效值(OR=0.14,95%CI 0.03~0.67,P<0.05)的增加与中重度深部脑白质病变风险增加有关。 结论: 不同部位的脑白质病变发病机制可能存在不同,故二者的早期诊断和观察随访适用于不同的眼底血管网络几何学参数。.

Keywords: Cerebral small vessel diseases; Fundus oculi; Leukoaraiosis.

MeSH terms

  • Humans
  • Magnetic Resonance Imaging
  • Retina
  • Vascular Diseases
  • White Matter*