Noninterchangeability of Vessel Density Measurements Across Next-Generation SS-OCTA Systems.

IF 2.7 3区 医学 Q2 OPHTHALMOLOGY
Peter M Maloca, Philippe C Cattin, Nadja Inglin, Claudia Bruè, Pascal W Hasler, Simon Rothenbuehler, Hanna Zuche, Javier Zarranz-Ventura, Philippe Valmaggia
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引用次数: 0

Abstract

Purpose: Comparing swept-source optical coherence tomography angiography (OCTA) vessel density in the superficial and deep capillary plexuses across leading OCTA systems.

Methods: OCTAs were acquired from healthy participants using two OCTA systems (BMizar 400 kHz and Yalkaid 100 kHz, TowardPi, Beijing, China) with scan sizes of 3 × 3, 6 × 6, 12 × 12, and 15 × 15 mm2. The vessel density was quantified using the manufacturer's software.

Results: Across 30 subjects comprising 60 eyes and a total of 225 OCTA scans, significant interdevice differences were observed at the Early Treatment Diabetic Retinopathy Study sector level in all eight scan size × plexus comparisons (three-way analysis of variance; P < 1.16 × 10e-4). The mean BMizar vessel density values for the superficial and deep plexuses were 43.4% ± 1.6% and 44.9% ± 1.5%, 44.7% ± 2.7% and 47.9% ± 1.1%, 44.2% ± 1.3% and 45.7% ± 1.1%, and 42.4 ± 1.6 % and 44.3 ± 1.3% for the 3 × 3, 6 × 6, 12 × 12, and 15 × 15 mm² scans; the Yalkaid values were lower. BMizar showed greater vessel density than Yalkaid, particularly in 3 × 3 mm² deep slab scans, with differences of approximately 5% to 10%. Across scans larger than 3 × 3 mm², BMizar showed greater central vessel density; the peripheral patterns varied, with reversals favoring Yalkaid and greater border effects in larger fields of view.

Conclusions: Despite interdevice differences, both devices showed consistent OCTA acquisition.

Translational relevance: Device differences may affect clinical interpretation, longitudinal follow-up, and multicenter studies.

新一代SS-OCTA系统中容器密度测量的不可互换性
目的:比较不同扫描源光学相干断层血管造影(OCTA)系统浅层和深层毛细血管丛血管密度。方法:使用两种OCTA系统(BMizar 400 kHz和Yalkaid 100 kHz, TowardPi,北京,中国)获取健康受试者的OCTA,扫描尺寸为3 × 3、6 × 6、12 × 12和15 × 15 mm2。使用制造商的软件对血管密度进行量化。结果:在30名受试者中,包括60只眼睛和225次OCTA扫描,在所有8个扫描尺寸×神经丛比较中,在早期治疗糖尿病视网膜病变研究部门水平上观察到显着的设备间差异(三方方差分析;P < 1.16 × 10e-4)。3 × 3、6 × 6、12 × 12、15 × 15 mm²扫描浅丛和深丛BMizar血管密度平均值分别为43.4%±1.6%和44.9%±1.5%,44.7%±2.7%和47.9%±1.1%,44.2%±1.3%和45.7%±1.1%,42.4±1.6%和44.3±1.3%;碱基值较低。BMizar的血管密度高于Yalkaid,特别是在3 × 3 mm²深板扫描中,差异约为5%至10%。在大于3 × 3 mm²的扫描中,BMizar显示出更大的中央血管密度;周边的模式各不相同,在更大的视野范围内,逆转有利于黄色和更大的边界效应。结论:尽管设备间存在差异,但两种设备均显示一致的OCTA采集。翻译相关性:器械差异可能影响临床解释、纵向随访和多中心研究。
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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