Photoreceptor Disease at Ambiguous Transition Zones in Inherited Retinal Degenerations.

IF 2.6 3区 医学 Q2 OPHTHALMOLOGY
Alexander Sumaroka, Malgorzata Swider, Tomas S Aleman, Artur V Cideciyan
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Abstract

Purpose: Key outcome measures for inherited retinal degenerations (IRDs) are derived from the termination point of the inner and outer segment junction (IS/OS, or ellipsoid zone (EZ)) signal on optical coherence tomography (OCT), which demarcates the emergence of photoreceptor outer segment (OS) abnormalities. However, the termination point is not always abrupt and can be ambiguous. This study aimed to characterize OS disease at each retinal location.

Methods: Widefield OCTs from two ABCA4-associated and fifteen RHO-associated IRD patients were recorded over ∼2 years. Data from a neighborhood of each sample were fed into a two-level artificial intelligence architecture, which achieved 95% accuracy for classifying outer retinal disease into definitely present OS (DPOS), definitely absent OS (DAOS), or questionably absent OS (QAOS).

Results: DPOS and DAOS regions were always separated by QAOS regions; wider QAOS regions corresponded to an extended transition from OS disease to health. Point-by-point comparison of OS maps with serial widefield imaging showed that, on average, 94% of the samples remained stable, with the remainder showing progression. The best predictor of progression was the distance to the nearest locus with greater OS disease: DPOS and QAOS pixels within 2° and 5.5°, respectively, of a nearby location with greater disease had as much as 10-fold higher likelihood of progression.

Conclusions: The assumption of an abrupt transition in EZ-based outcomes may not reflect the underlying pathophysiology of IRDs.

Translational relevance: Ambiguous transition zones and their immediate neighborhoods may demarcate retinal regions having high likelihood for progression and act as efficient endpoints for clinical trials.

遗传性视网膜变性模糊过渡区的光感受器疾病。
目的:遗传性视网膜变性(IRDs)的关键预后指标来自光学相干断层扫描(OCT)上的内外段连接处(IS/OS)或椭球区(EZ)信号的终止点,该信号界定了光感受器外段(OS)异常的出现。然而,终止点并不总是突然的,也可能是模糊的。本研究旨在描述视网膜各部位的OS疾病特征。方法:记录2例abca4相关和15例rho相关IRD患者2年以上的广角oct。每个样本的邻近区域的数据被输入到一个两级人工智能架构中,该架构将视网膜外病变分类为明确存在OS (DPOS)、明确不存在OS (DAOS)或可疑不存在OS (QAOS),准确率达到95%。结果:DPOS区与DAOS区始终被QAOS区隔开;更广泛的qoss区域对应于从OS疾病到健康的延长过渡。OS图与连续宽视场成像的逐点比较显示,平均94%的样本保持稳定,其余的显示进展。进展的最佳预测因子是到最近的有较大OS疾病的位点的距离:DPOS和QAOS像素分别在2°和5.5°范围内,距离有较大疾病的附近位置有高达10倍的进展可能性。结论:以ez为基础的结果突变的假设可能不能反映IRDs的潜在病理生理。翻译相关性:模糊的过渡区及其邻近区域可能划定视网膜区域,具有很高的进展可能性,并作为临床试验的有效终点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational Vision Science & Technology
Translational Vision Science & Technology Engineering-Biomedical Engineering
CiteScore
5.70
自引率
3.30%
发文量
346
审稿时长
25 weeks
期刊介绍: Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.
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