Rezapour Jasmin, Tran Andrew Q, Bowd Christopher, El-Nimri Nevin W, Belghith Akram, Christopher Mark, Brye Nicole, Proudfoot James A, Dohleman Jade, Fazio Massimo A, Jonas Jost B, Weinreb Robert N, Zangwill Linda M
Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, San Diego, CA, United States.
Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Front Med (Lausanne). 2022 Jun 24;9:872658. doi: 10.3389/fmed.2022.872658. eCollection 2022.
To compare optic nerve head (ONH) ovality index and rotation angle measurements based on semi-automated delineation of the clinical ONH margin derived from photographs and automated BMO configuration derived from optical coherence tomography (OCT) images in healthy and glaucomatous eyes with high-, mild- and no axial myopia.
One hundred seventy-five healthy and glaucomatous eyes of 146 study participants enrolled in the Diagnostic Innovations in Glaucoma Study (DIGS) with optic disc photographs and Spectralis OCT ONH scans acquired on the same day were stratified by level of axial myopia (non-myopic [ = 56, axial length (AL) <24 mm], mild-myopic [ = 58, AL 24-26 mm] and high-myopic [ = 32, AL >26 mm]. The clinical disc margin of each photograph was manually annotated, and semi-automated measurements were recorded of the ovality index and rotation angle based on a best-fit ellipse generated using ImageJ software. These semi-automated photograph-based measurements were compared to ovality index and rotation angle generated from custom automated BMO-based analysis using segmented OCT ONH volumes. values from linear mixed effects models were used to describe the associations between semi-automated, photograph-based and automated OCT-based measurements.
Average (95% CI) axial length was 23.3 (23.0, 23.3) mm, 24.8 (24.7, 25.0) mm and 26.8 (26.6, 27.0) mm in non-myopic, mild-myopic and high-myopic eyes, respectively (ANOVA, ≤ 0.001 for all). The association (95% CI) between semi-automated photograph-based and automated OCT-based assessment of ONH OI for all eyes was [0.26 (0.16, 0.36); < 0.001]. This association was weakest in non-myopic eyes [0.09 (0.01, 0.26); = 0.02], followed by mild-myopic eyes [0.13 (0.02, 0.29); = 0.004] and strongest in high-myopic eyes [0.40 (0.19, 0.60); < 0.001]. No significant associations were found between photography- and OCT-based assessment of rotation angle with values ranging from 0.00 (0.00, 0.08) in non-myopic eyes to 0.03 (0.00, 0.21) in high-myopic eyes (all associations ≥ 0.33).
Agreement between photograph-based and automated OCT-based ONH morphology measurements is limited, suggesting that these methods cannot be used interchangeably for characterizing myopic changes in the ONH.
比较基于照片半自动描绘的临床视神经乳头（ONH）边缘和基于光学相干断层扫描（OCT）图像自动生成的黄斑中心凹（BMO）形态，测量健康眼和青光眼眼中高度、轻度和无轴性近视患者的ONH椭圆率指数和旋转角度。
青光眼诊断创新研究（DIGS）中的146名研究参与者的175只健康眼和青光眼眼，同一天采集了视盘照片和Spectralis OCT的ONH扫描图像，根据轴性近视程度进行分层（非近视组[ = 56，眼轴长度（AL）<24 mm]，轻度近视组[ = 58，AL 24 - 26 mm]和高度近视组[ = 32，AL >26 mm]）。每张照片的临床视盘边缘进行手动标注，并基于使用ImageJ软件生成的最佳拟合椭圆记录椭圆率指数和旋转角度的半自动测量值。将这些基于照片的半自动测量值与使用分割的OCT ONH体积通过基于BMO的自定义自动分析生成的椭圆率指数和旋转角度进行比较。线性混合效应模型的 值用于描述基于照片的半自动测量和基于OCT的自动测量之间的关联。
非近视、轻度近视和高度近视眼中的平均（95% CI）眼轴长度分别为23.3（23.0，23.3）mm、24.8（24.7，25.0）mm和26.8（26.6，27.0）mm（方差分析，所有 ≤ 0.001）。所有眼睛基于照片的ONH椭圆率指数半自动评估与基于OCT的自动评估之间的 关联（95% CI）为[0.26（0.16，0.36）； < 0.001]。这种关联在非近视眼中最弱[0.09（0.01，0.26）； = 0.02]，其次是轻度近视眼中[0.13（0.02，0.29）； = 0.004]，在高度近视眼中最强[0.40（0.19，0.60）； < 0.001]。基于照片和基于OCT的旋转角度评估之间未发现显著关联， 值范围从非近视眼中的0.00（0.00，0.08）到高度近视眼中的0.03（0.00，0.21）（所有关联 ≥ 0.33）。
基于照片和基于OCT的ONH形态测量之间的一致性有限，表明这些方法不能互换使用来表征ONH中的近视变化。
