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03 February 2018 : Clinical Research  

Diagnostic Function of 3D Optical Coherence Tomography Images in Diagnosis of Vogt-Koyanagi-Harada Disease at Acute Uveitis Stage

Gui-ling Zhao1ABCDEFG*, Rui-zhuang Li1BCDEF, Yan-hua Pang1BCDE, Xiu-qin Wang1BCDF, Hong-juan Peng1BDF, Jin-fen Wei1BCF, Zhou Zhou1CF

DOI: 10.12659/MSM.905931

Med Sci Monit 2018; 24: CLR687-697

Abstract

BACKGROUND: This study analyzed the macular 3D-OCT images of Vogt-Koyanagi-Harada disease (VKH) in uveitis, explored the characteristics of 3D-OCT images of the macular region of VKH, and assessed which characteristics contribute most to VKH diagnosis.

MATERIAL AND METHODS: The 3D-OCT examination of 25 cases of VKH was performed on the macular area, and the image characteristics were analyzed.

RESULTS: Our study included a total of 50 eyes from 25 cases of VKH patients, 10 males and 15 females, aged 17 to 64 years, mean (39.44±11.60) years old. According to OCT B-scan images, 49 (98%) eyes had ERD, 49 (98%) eyes had nerve retinal edema, 36 (72%) eyes had endometrium-like structure (including cysts), 5 (10%) eyes had RPE folds, 35 (70%) eyes had changes in the internal septum, 49 (98%) eyes had RPE monolayer structure outside the ERD region. In ILM-RPE thickness, 49 (98%) eyes had retinal irregular thickening and 31 (62%) eyes had radial stripe changes. In ILM contour figure, 50 eyes (100%) showed exceptional uplift, 5 (10%) eyes had small focal uplift for PED on the RPE surface, and 48 (96%) eyes had wavy ups and downs.

CONCLUSIONS: In OCT B-scan imaging, the ERT, retinal edema of the retina, and the RPE monolayer structure outside the range are most likely to occur in VKH. The ILM-RPE thickness chart in 3D reconstruction showed irregular thickening of the retina. The ILM contour graph showed abnormal uplift, and RPE surface wavy ups and downs in VKH most likely to occur.

Keywords: Imaging, Three-Dimensional, Tomography, Optical Coherence, Uveomeningoencephalitic Syndrome

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750