Lake Stewart R, Bottema Murk J, Lange Tyra, Williams Keryn A, Reynolds Karen J
Flinders Institute for Health and Medical Research, GPO Box 2100, Adelaide 5001, Australia.
Medical Device Research Institute, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide 5001, Australia.
Bioengineering (Basel). 2023 Mar 19;10(3):377. doi: 10.3390/bioengineering10030377.
Irregularities in retinal shape have been shown to correlate with axial length, a major risk factor for retinal detachment. To further investigate this association, a comparison was performed of the swept-source optical coherence tomography (SS OCT) peripheral retinal shape of eyes that had either a posterior vitreous detachment (PVD) or vitrectomy for retinal detachment. The objective was to identify a biomarker that can be tested as a predictor for retinal detachment. Eyes with a PVD (N = 88), treated retinal detachment (N = 67), or retinal tear (N = 53) were recruited between July 2020 and January 2022 from hospital retinal clinics in South Australia. The mid-peripheral retina was imaged in four quadrants with SS OCT. The features explored were patient age, eye axial length, and retinal shape irregularity quantified in the frequency domain. A discriminant analysis classifier to identify retinal detachment eyes was trained with two-thirds and tested with one-third of the sample. Retinal detachment eyes had greater irregularity than PVD eyes. A classifier trained using shape features from the superior and temporal retina had a specificity of 84% and a sensitivity of 48%. Models incorporating axial length were less successful, suggesting peripheral retinal irregularity is a better biomarker for retinal detachment than axial length. Mid-peripheral retinal irregularity can identify eyes that have experienced a retinal detachment.
视网膜形状不规则已被证明与眼轴长度相关,而眼轴长度是视网膜脱离的一个主要风险因素。为了进一步研究这种关联,对发生了玻璃体后脱离(PVD)或因视网膜脱离而接受玻璃体切除术的眼睛的扫频光学相干断层扫描(SS OCT)周边视网膜形状进行了比较。目的是确定一种可作为视网膜脱离预测指标进行检测的生物标志物。2020年7月至2022年1月期间,从南澳大利亚州的医院视网膜诊所招募了患有PVD(N = 88)、已治疗的视网膜脱离(N = 67)或视网膜裂孔(N = 53)的患者。使用SS OCT对中周边视网膜的四个象限进行成像。所探究的特征包括患者年龄、眼轴长度以及在频域中量化的视网膜形状不规则性。使用三分之二的样本训练了一个用于识别视网膜脱离眼睛的判别分析分类器,并使用三分之一的样本进行测试。视网膜脱离的眼睛比PVD的眼睛具有更大的不规则性。使用来自上方和颞侧视网膜的形状特征训练的分类器特异性为84%,敏感性为48%。纳入眼轴长度的模型效果较差,这表明周边视网膜不规则性比眼轴长度更适合作为视网膜脱离的生物标志物。中周边视网膜不规则性可识别经历过视网膜脱离的眼睛。