Comparison of Optic Disc Ovality Index and Rotation Angle Measurements in Myopic Eyes Using Photography and OCT Based Techniques.

Comparison of Optic Disc Ovality Index and Rotation Angle Measurements in Myopic Eyes Using Photography and OCT Based Techniques.
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DOI:
10.3389/fmed.2022.872658
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发表时间:
2022
影响因子:
3.9
通讯作者:
--
中科院分区:
医学3区
文献类型:
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文献摘要

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在高度、轻度和非轴性近视的健康眼和青光眼眼中,比较基于来自照片的临床ONH边缘的半自动描绘和来自光学相干断层扫描(OCT)图像的自动BMO配置的视神经乳头(ONH)椭圆度指数和旋转角测量值。入选青光眼诊断创新研究(DIGS)的146名研究参与者的175只健康和青光眼眼睛,在同一天获得视盘照片和Spectralis OCT ONH扫描,并按轴性近视水平分层(非近视[n = 56,眼轴长度(AL)<24 mm],轻度近视[n = 58,AL 24-26 mm]和高度近视[n = 32,AL >26 mm]。手动注释每张照片的临床椎间盘边缘,并基于使用ImageJ软件生成的最佳拟合椭圆记录椭圆度指数和旋转角度的半自动测量值。将这些半自动化的基于BMO的测量结果与使用分段OCT ONH体积的自定义自动化基于BMO的分析生成的椭圆度指数和旋转角进行比较。线性混合效应模型的R2值用于描述半自动、基于OCT和基于OCT的自动测量之间的关联。非近视眼、轻度近视眼和高度近视眼的平均(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(ANOVA,所有病例p ≤ 0.001)。对于所有眼睛,基于半自动化OCT和基于OCT的ONH OI评估之间的R2相关性(95%CI)为[0.26(0.16,0.36); p < 0.001]。这种关联在非近视眼中最弱[0.09(0.01,0.26); p = 0.02],其次是轻度近视眼[0.13(0.02,0.29); p = 0.004],在高度近视眼中最强[0.40(0.19,0.60); p < 0.001]。未发现基于摄影和OCT的旋转角评估之间存在显著关联,R2值范围为非近视眼的0.00(0.00,0.08)至高度近视眼的0.03(0.00,0.21)(所有关联p ≥ 0.33)。基于OCT的ONH形态测量与基于OCT的ONH形态测量之间的一致性有限,这表明这些方法不能互换用于表征ONH中的近视变化。
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 [n = 56, axial length (AL) <24 mm], mild-myopic [n = 58, AL 24–26 mm] and high-myopic [n = 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. R2 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, p ≤ 0.001 for all). The R2 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); p < 0.001]. This association was weakest in non-myopic eyes [0.09 (0.01, 0.26); p = 0.02], followed by mild-myopic eyes [0.13 (0.02, 0.29); p = 0.004] and strongest in high-myopic eyes [0.40 (0.19, 0.60); p < 0.001]. No significant associations were found between photography- and OCT-based assessment of rotation angle with R2 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 p ≥ 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.