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Oculus

Abstract #80988 Published in IGR 20-3

Intereye and intraeye asymmetry analysis of retinal microvascular and neural structure parameters for diagnosis of primary open-angle glaucoma

Xu H; Zong Y; Zhai R; Kong X; Jiang C; Sun X
Eye 2019; 33: 1596-1605


PURPOSE: To investigate the diagnostic values of intereye or intraeye asymmetry of retinal perfused vessel density and neural structure parameters for detection of glaucoma. METHODS: In total, 152 healthy subjects and 72 bilateral primary open-angle glaucoma (POAG) patients were enrolled. Total POAG group contains all glaucoma patients. Early to moderate POAG group contains patients whose binocular mean defect values were larger than -12 dB. The retinal perfused vessel densities were acquired using optic coherence tomography angiography. The neural structure parameters include RNFL, GCC thickness and its derivative indices like focal loss volume percentage (FLV%) and global loss volume percentage (GLV%). Intereye asymmetry equaled to the absolute difference of parameters between paired eyes. Intraeye asymmetry was defined as absolute difference between the inferior and superior hemisphere values from one random selected eye. The areas under the receiver operating characteristic curves (AUROCs) were calculated to evaluate diagnostic ability. RESULTS: From pairwise comparison analysis of ROC curves, the intereye asymmetric parameters with the largest diagnostic accuracy were FLV and GLV% (AUROC = 0.944), which were significantly superior to the intereye asymmetry of perfused vessel density in peripapillary area and parafoveal area (P < 0.05). Particularly, the intereye asymmetry of FLV% (AUROC = 0.926) and GLV% (AUROC = 0.950) showed excellent diagnostic precision for detecting early to moderate glaucoma patients. However, the intraeye asymmetry of microvascular parameters and neural structure parameters showed fair diagnostic ability for identifying POAG patients. CONCLUSIONS: The intereye asymmetry of neural structure parameters, particularly the FLV% and GLV%, outperformed the microvascular parameters for identifying POAG patients.

Full article

Classification:

6.11 Bloodflow measurements (Part of: 6 Clinical examination methods)
6.9.2.2 Posterior (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.2 Optical coherence tomography)
2.13 Retina and retinal nerve fibre layer (Part of: 2 Anatomical structures in glaucoma)



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