SERI-NTU Advanced Ocular Engineering (STANCE), Singapore.
School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore.
Invest Ophthalmol Vis Sci. 2021 Dec 1;62(15):8. doi: 10.1167/iovs.62.15.8.
To investigate modeling of the focal visual field (VF) loss by combining structural measurements and vascular measurements in eyes with early primary open-angle glaucoma (POAG).
In this cross-sectional study, subjects with early glaucoma (VF mean deviation, ≥-6 dB) underwent optical coherence tomography (OCT) imaging, optical coherence tomography angiography (OCTA) imaging, and Humphrey 24-2 VF tests. Capillary perfusion densities (CPDs) were calculated after the removal of large vessels in the OCTA images. Focal associations between VF losses at the individual VF test locations, circumpapillary retinal nerve fiber layer (RNFL) thickness measurements from OCT, and CPDs were determined using nerve fiber trajectory tracings. Linear mixed models were used to model focal VF losses at each VF test location.
Ninety-seven eyes with early POAG (VF mean deviation, -2.47 ± 1.64 dB) of 71 subjects were included. Focal VF modeling using a combined RNFL-CPD approach resulted in a median adjusted R2 value of 0.30 (interquartile range [IQR], 0.13-0.55), whereas the RNFL-only and CPD-only approaches resulted in median values of 0.22 (IQR, 0.10-0.51) and 0.26 (IQR, 0.10-0.52), respectively. Seventeen VF locations with the combined approach had an adjusted R2 value greater than 0.50. Likelihood testing at each VF test location showed that the combined approach performed significantly better at the superior nasal VF regions of the eyes compared with the univariate approaches.
Modeling of focal VF losses showed improvements when structural thickness and vascular parameters were included in tandem. Evaluation of VF defects in early glaucoma may benefit from considering both RNFL and OCTA characteristics.
通过结合结构测量和血管测量,研究早期原发性开角型青光眼(POAG)眼中的局灶性视野(VF)损失模型。
在这项横断面研究中,早期青光眼(VF 平均偏差,≥-6 dB)患者接受了光学相干断层扫描(OCT)成像、光学相干断层扫描血管造影(OCTA)成像和 Humphrey 24-2 VF 测试。在 OCTA 图像中去除大血管后计算毛细血管灌注密度(CPD)。使用神经纤维轨迹追踪确定个体 VF 测试位置的 VF 损失、来自 OCT 的周边视网膜神经纤维层(RNFL)厚度测量值和 CPD 之间的局灶关联。使用线性混合模型对每个 VF 测试位置的局灶 VF 损失进行建模。
纳入了 71 名受试者的 97 只早期 POAG 眼(VF 平均偏差,-2.47 ± 1.64 dB)。使用联合 RNFL-CPD 方法进行局灶 VF 建模的中位数调整 R2 值为 0.30(四分位距[IQR],0.13-0.55),而仅使用 RNFL 和 CPD 的方法的中位数分别为 0.22(IQR,0.10-0.51)和 0.26(IQR,0.10-0.52)。联合方法的 17 个 VF 位置的调整 R2 值大于 0.50。在每个 VF 测试位置进行似然性检验显示,与单变量方法相比,联合方法在眼睛的上鼻侧 VF 区域的表现明显更好。
当结构厚度和血管参数串联纳入时,局灶 VF 损失的建模得到了改善。考虑到 RNFL 和 OCTA 特征,早期青光眼的 VF 缺损评估可能会受益。