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分段黄斑层和视网膜神经纤维层分析中的假阳性分类及相关因素:Spectralis OCT 偏差图研究。

False-positive classification and associated factors in segmented macular layers and retinal nerve fiber layer analysis: Spectralis OCT deviation map study.

机构信息

Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.

出版信息

Sci Rep. 2023 Apr 25;13(1):6782. doi: 10.1038/s41598-023-33944-z.

DOI:10.1038/s41598-023-33944-z
PMID:37185807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10130102/
Abstract

The rates, patterns and associated factors for false-positive classification of deviation maps by Cirrus optical coherence tomography (OCT) have been reported. However, research on OCT layer-by-layer deviation maps is lacking. We aimed to determine the rates and associated factors for false-positive classification of segmented macular layers and retinal nerve fiber layer (RNFL) deviation maps of Spectralis OCT, and to identify false-positive patterns on segmented macular layers deviation maps. 118 healthy eyes of 118 normal participants who had undergone Spectralis OCT imaging were included. False-positive classification was determined by the area and location of yellow or red color-coded regions on the deviation map. The false-positive rates on the deviation maps were the highest on the ganglion cell layer map, followed by the inner plexiform layer, retinal layer, and RNFL maps. More myopic/less hyperopic refractive error was a factor significantly associated with higher false-positive classification on the RNFL deviation map, and three false-positive patterns were found on the segmented macular layers deviation maps. Spectralis OCT deviation maps should be interpreted carefully to avoid misdiagnosis, especially for eyes with higher degrees of myopic refractive error on the RNFL map, for which purpose, recognizing the characteristic false-positive patterns would be helpful in clinical practice.

摘要

已报道 Cirrus 光学相干断层扫描(OCT)的偏差图假阳性分类的发生率、模式和相关因素。然而,OCT 分层偏差图的研究还很缺乏。我们旨在确定 Spectralis OCT 分层黄斑层和视网膜神经纤维层(RNFL)偏差图的假阳性分类率和相关因素,并识别分层黄斑层偏差图上的假阳性模式。纳入 118 名正常参与者的 118 只健康眼,这些参与者均接受 Spectralis OCT 成像。通过偏差图上黄色或红色编码区域的面积和位置来确定假阳性分类。偏差图上的假阳性率在神经节细胞层图上最高,其次是内丛状层、视网膜层和 RNFL 图。更近视/更远视的屈光不正误差是与 RNFL 偏差图上更高的假阳性分类显著相关的因素,并且在分层黄斑层偏差图上发现了三种假阳性模式。在解释 Spectralis OCT 偏差图时应小心谨慎,以避免误诊,特别是对于 RNFL 图上近视程度较高的眼睛,识别特征性的假阳性模式将有助于临床实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/37cdea705cdb/41598_2023_33944_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/9f4672355144/41598_2023_33944_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/e56ff1037d4f/41598_2023_33944_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/6fc37fdd52cd/41598_2023_33944_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/37cdea705cdb/41598_2023_33944_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/9f4672355144/41598_2023_33944_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/e56ff1037d4f/41598_2023_33944_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/6fc37fdd52cd/41598_2023_33944_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df5d/10130102/37cdea705cdb/41598_2023_33944_Fig4_HTML.jpg

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