Dabbah Sami, Bjerager Jakob, Belmouhand Mohamed, Rothenbuehler Simon P, Munch Inger Christine, Kolko Miriam, Larsen Michael
Department of Ophthalmology, Rigshospitalet, 2100 Copenhagen, Denmark.
Faculty of Health and Medical Science, University of Copenhagen, 1172 Copenhagen, Denmark.
J Clin Med. 2024 Nov 27;13(23):7193. doi: 10.3390/jcm13237193.
: The automated analyses of optical coherence tomography (OCT) scans of the retina occasionally suggest the presence of tissue deficits when no visual field defects can be detected. This study was made to find the sources of such alerts. Data from a population-based cohort of 360 participants aged 30-80 years was analysed for the anatomical sources of alerts after the extensive exclusion of participants where any suspicion of abnormality could be raised. An analysis was made of 12 × 9 mm volume scans centred between the disc and the fovea. The exclusions comprised 107 eyes with definite or borderline abnormal visual fields or other potentially confounding characteristics. A statistical analysis of the thickness patterns was made using the manufacturer's proprietary algorithm. The analysis comprised alerts corresponding to local layer thickness values in the lower 5th percentile of an independent reference population. Of the 613 eligible healthy eyes, thickness deficit alerts were seen in 391. They were related to the angle between the temporal nerve fibre ridges being wider, narrower, or rotated compared to the reference template in 174 eyes and to the variations in the size of the macula in 207 eyes. The source was unidentifiable in 28 eyes. The common sources were a thin papillomacular nerve fibre layer accompanied by arcuate nerve fibre ridges spaced far apart and a thinly, but wider than the normal macular ganglion cell layer. Anatomical variation in the retinal nerve fibre and ganglion cell layers was the source of more than 90% of the thickness deficit alerts in the eyes with normal visual fields.
视网膜光学相干断层扫描(OCT)的自动分析偶尔会在未检测到视野缺损时提示存在组织缺损。本研究旨在找出此类警报的来源。在广泛排除任何可能引起异常怀疑的参与者后,对来自360名年龄在30 - 80岁的基于人群队列的数据进行分析,以寻找警报的解剖学来源。对以视盘和黄斑中心之间为中心的12×9毫米体积扫描进行分析。排除的包括107只视野明确或临界异常或具有其他潜在混淆特征的眼睛。使用制造商的专有算法对厚度模式进行统计分析。分析包括对应于独立参考人群中第5百分位数以下局部层厚度值的警报。在613只符合条件的健康眼睛中,有391只出现了厚度缺损警报。在174只眼中,它们与颞侧神经纤维嵴之间的角度相比参考模板更宽、更窄或旋转有关,在207只眼中与黄斑大小的变化有关。28只眼中的来源无法确定。常见来源是薄的乳头黄斑神经纤维层,伴有间隔较远的弓形神经纤维嵴,以及薄但比正常黄斑神经节细胞层宽的层。在视野正常的眼睛中,视网膜神经纤维层和神经节细胞层的解剖变异是超过90%的厚度缺损警报的来源。