Three-Dimensional Choroidal Contour Mapping in Healthy and Diseased Eyes.

IF 2.6 3区医学 Q2 OPHTHALMOLOGY

Translational Vision Science & Technology Pub Date : 2025-06-02 DOI:10.1167/tvst.14.6.16

Supriya Arora, Sumit Randhir Singh, Sharat Chandra Vupparaboina, Brian Rosario, Mohammed Nasar Ibrahim, Amrish Selvam, Arman Zarnegar, Sanjana Harihar, Vinisha Sant, Jose Alain Sahel, Kiran Kumar Vupparaboina, Jay Chhablani

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引用次数: 0

Abstract

Purpose: Quantitative evaluation of choroidal curvature including choroidal inner boundary (CIB) and choroidal outer boundary (COB) and report a comparison between healthy and diseased eyes.

Methods: This retrospective study was conducted on 97 eyes of 97 patients. Eyes were divided into three groups: central serous chorioretinopathy (CSCR), dry age-related macular degeneration (AMD), and healthy eyes. Delineation of CIB and COB was performed using a hybrid method based on our previously validated deep learning and three-dimensional (3D) smoothing methods for choroidal layer segmentation. Quantitative analysis of the surfaces was based on best-fit spherical radius (R). R for overall surface, as well as for each region (central/nasal/temporal/superior/inferior region), was estimated. Statistical analysis was done using SPSS software.

Results: There were 35 healthy eyes, 32 eyes with CSCR, and 30 eyes with dry AMD. At CIB and COB; RCSCR > Rhealthy > RAMD (P ≤ 0.001). The central region had the lowest R among all the regions within a group at CIB and COB (P < 0.001) in healthy, CSCR, and AMD eyes. There was moderate positive correlation of R of CIB and COB with subfoveal choroidal thickness in healthy eyes and a negligible/weak correlation in CSCR and AMD eyes.

Conclusions: Contour of choroid at CIB and COB was the flattest in CSCR and steepest in AMD. Central region was the steepest among all sectors in both healthy and diseased eyes.

Translational relevance: Quantitative study of surface at CIB and COB in diseases helps in understanding the pathophysiological changes and provides a clinical biomarker in disease monitoring and treatment as well.

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健康眼和病变眼的三维脉络膜轮廓测绘。

目的：定量评价脉络膜曲率，包括脉络膜内边界（CIB）和脉络膜外边界（COB），并报道健康眼和病变眼的比较。方法：对97例患者的97只眼进行回顾性研究。将眼睛分为三组：中枢性浆液性脉络膜视网膜病变（CSCR）、干性年龄相关性黄斑变性（AMD）和健康眼睛。CIB和COB的划分使用基于我们之前验证的深度学习和三维（3D）平滑方法的混合方法进行脉络膜层分割。基于最佳拟合球面半径(R)对表面进行定量分析。估计了整个表面以及每个区域（中央/鼻/颞/上/下区域）的R。采用SPSS软件进行统计分析。结果：健康眼35眼，CSCR眼32眼，干性AMD眼30眼。在CIB和COB；rscr > Rhealthy > RAMD （P≤0.001）。结论：CSCR患者在CIB和COB处脉络膜轮廓最平坦，AMD患者在CIB和COB处脉络膜轮廓最陡峭。在健康眼和病变眼中，中央区是最陡的。翻译相关性：对疾病中CIB和COB表面的定量研究有助于了解疾病的病理生理变化，并为疾病监测和治疗提供临床生物标志物。

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 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.