| Autor: |
Ji XT; Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China (is working on the Department of Neurology, Jining No.1 People's Hospital, Jining 272011, China)., Cai Y; Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China., Qiu BS; Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China., Benny Z; The Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong Special Administrative Region (HKSAR), Hong Kong 999077, China., Jack L; The Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong Special Administrative Region (HKSAR), Hong Kong 999077, China., Lan LF; Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China., Fan YH; Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China. |
| Abstrakt: |
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. |
