Enhanced Visualization of Choroidal Defects in Focal Choroidal Excavation With Near-Infrared Autofluorescence: Multimodal Imaging Study.

IF 2.7 3区 医学 Q2 OPHTHALMOLOGY
Yuta Nakanishi, Shin Kadomoto, Tomoaki Sakamoto, Takahiro Kogo, Yuki Muraoka, Masayuki Hata, Akitaka Tsujikawa
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引用次数: 0

Abstract

Purpose: To compare the spatial concordance of autofluorescence abnormalities on near-infrared fundus autofluorescence (NIRAF) and short-wavelength fundus autofluorescence (SWAF) with the area of focal choroidal excavation (FCE) defined on en face optical coherence tomography (OCT).

Methods: In this retrospective cross-sectional observational study, a 6 × 6-mm en face swept-source OCT image centered on the fovea was used to define the structural FCE area on a choroidal slab. After image registration, areas of abnormal autofluorescence, including hypoautofluorescence and hyperautofluorescence, were delineated on SWAF and NIRAF. Spatial concordance between the en face OCT-defined FCE area and the abnormal autofluorescence areas was evaluated using the Dice similarity coefficient (DSC).

Results: Twenty eyes of 20 patients with conforming-type FCE were included. The mean FCE area was 0.708 ± 0.571 mm2 on en face OCT, 1.174 ± 1.196 mm2 on NIRAF (P = 0.534 vs. en face OCT), and 0.152 ± 0.203 mm2 on SWAF (P < 0.001 vs. en face OCT). Spatial concordance with en face OCT was significantly greater for NIRAF (DSC, 0.654 ± 0.187) than for SWAF (DSC, 0.160 ± 0.214; P < 0.001). NIRAF detected abnormal autofluorescence corresponding to the FCE area in all eyes, whereas SWAF failed to detect any abnormality in six eyes (30%).

Conclusions: FCE-associated abnormalities on NIRAF showed greater spatial concordance with the FCE area defined on en face OCT than those on SWAF.

Translational relevance: NIRAF offers a reproducible, noninvasive means of spatially mapping melanin-associated autofluorescence abnormalities, supporting more precise multimodal characterization of FCE.

近红外自体荧光增强聚焦脉络膜缺损的可视化:多模态成像研究。
目的:比较近红外眼底自身荧光(NIRAF)和短波眼底自身荧光(SWAF)异常与面光学相干断层扫描(OCT)确定的病灶脉络膜挖掘(FCE)区域的空间一致性。方法:在这项回顾性横断面观察研究中,使用以中央凹为中心的6 × 6 mm面部扫描源OCT图像来确定脉络膜板上的结构性FCE区域。图像配准后,在SWAF和NIRAF上圈定异常的自体荧光区域,包括低自体荧光和高自体荧光。使用Dice相似系数(DSC)评估正面oct定义的FCE区域与异常自身荧光区域之间的空间一致性。结果:纳入20例适形型FCE患者20只眼。面部OCT的平均FCE面积为0.708±0.571 mm2, NIRAF的平均FCE面积为1.174±1.196 mm2 (P = 0.534 vs.面部OCT), SWAF的平均FCE面积为0.152±0.203 mm2 (P < 0.001 vs.面部OCT)。NIRAF与正面OCT的空间一致性(DSC, 0.654±0.187)显著高于SWAF (DSC, 0.160±0.214;P < 0.001)。NIRAF在所有眼睛中检测到FCE区域对应的异常自身荧光,而SWAF在6只眼睛中未检测到任何异常(30%)。结论:与SWAF相比,NIRAF上FCE相关的异常与正面OCT上定义的FCE区域具有更大的空间一致性。翻译相关性:NIRAF提供了一种可重复的、无创的方法来绘制与黑色素相关的自身荧光异常的空间图,支持更精确的FCE多模态表征。
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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