Classification of peripheral vitreoretinal interface lesions using spectral-domain optical coherence tomography with guidance of ultrawide field imaging.

IF 3.2 3区 医学 Q2 NEUROSCIENCES Frontiers in Neuroscience Pub Date : 2025-02-07 eCollection Date: 2025-01-01 DOI:10.3389/fnins.2025.1516919
Weiwei Zheng, Ying Huang, Shanshan Qian, Bing Lin, Shenghai Huang
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Abstract

Purpose: This study aimed to classify peripheral vitreoretinal interface (VRI) lesions using optical coherence tomography (OCT) and to compare these findings with those obtained by ultra-widefield (UWF) pseudocolor imaging.

Method: Peripheral OCT images of VRI lesions were obtained using spectral domain OCT system with a steerable probe guided by UWF images. Two independent investigators categorized the OCT images into four groups based on the extent of vitreoretinal traction and the presence of retinal breaks. Differences in OCT-based categorization between the same lesion types visualized by UWF imaging were also compared.

Results: Of the total 82 patients, 105 peripheral lesions were included in this study. The inter-observer agreement for the classification of UWF and OCT images demonstrated good consistency, with kappa values of 0.949 ± 0.025 and 0.836 ± 0.042, respectively. In the OCT classification of VRI lesions, 18 (17.1%) cases were category A, 28 (26.7%) cases were category B1, 30 (28.6%) cases were category B2, and 29 (27.6%) cases were category C. Of the 37 vitreoretinal tuft lesions, 32.4% were classified as category B2 and 16.2% as category C, according to peripheral OCT classification. Similarly, 37.8% of 40 snail track and lattice degeneration lesions were classified as category B2, and 16.2% as category C.

Conclusion: The VRI lesions can demonstrate considerable variability when visualized with peripheral OCT among the same lesion types visualized through UWF imaging. Classification of peripheral OCT images may provide a more effective evaluation of the risk of lesion progression.

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超宽场成像引导下的光谱域光学相干断层扫描对周围玻璃体视网膜界面病变的分类。
目的:本研究旨在利用光学相干断层扫描(OCT)对周围玻璃体视网膜界面(VRI)病变进行分类,并将其与超宽视场(UWF)伪彩色成像结果进行比较。方法:采用光谱域OCT系统,在UWF图像引导下,利用可操纵探针获取VRI病变周围OCT图像。两名独立的研究者根据玻璃体视网膜牵引力的程度和视网膜断裂的存在将OCT图像分为四组。比较了UWF成像显示的相同病变类型在oct分类上的差异。结果:82例患者中,105例周围病变纳入本研究。UWF和OCT图像分类的观察者间一致性较好,kappa值分别为0.949 ± 0.025和0.836 ± 0.042。在VRI病变的OCT分型中,A类病变18例(17.1%),B1类病变28例(26.7%),B2类病变30例(28.6%),C类病变29例(27.6%)。37例玻璃体视网膜丛状病变中,根据外周OCT分型,B2类病变32.4%,C类病变16.2%。同样,40例蜗牛径迹和晶格变性病变中37.8%归为B2类,16.2%归为c类。结论:外周OCT显示的VRI病变在UWF成像显示的相同病变类型中表现出相当大的变异性。外周OCT图像的分类可以更有效地评估病变进展的风险。
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来源期刊
Frontiers in Neuroscience
Frontiers in Neuroscience NEUROSCIENCES-
CiteScore
6.20
自引率
4.70%
发文量
2070
审稿时长
14 weeks
期刊介绍: Neural Technology is devoted to the convergence between neurobiology and quantum-, nano- and micro-sciences. In our vision, this interdisciplinary approach should go beyond the technological development of sophisticated methods and should contribute in generating a genuine change in our discipline.
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