Arora Supriya, Singh Sumit Randhir, Vupparaboina Sharat Chandra, Rosario Brian, Ibrahim Mohammed Nasar, Selvam Amrish, Zarnegar Arman, Harihar Sanjana, Sant Vinisha, Sahel Jose Alain, Vupparaboina Kiran Kumar, Chhablani Jay
Bahamas Vision Centre and Princess Margaret Hospital, Nassau, Bahamas.
Akhand Jyoti Eye Hospital, CoE Mastichak, Saran, Bihar, India.
Transl Vis Sci Technol. 2025 Jun 2;14(6):16. doi: 10.1167/tvst.14.6.16.
Quantitative evaluation of choroidal curvature including choroidal inner boundary (CIB) and choroidal outer boundary (COB) and report a comparison between healthy and diseased eyes.
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.
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.
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.
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.
对脉络膜曲率进行定量评估，包括脉络膜内边界（CIB）和脉络膜外边界（COB），并报告健康眼与患病眼之间的比较结果。
对97例患者的97只眼进行了这项回顾性研究。将眼睛分为三组：中心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。使用基于我们先前验证的深度学习和三维（3D）平滑方法进行脉络膜层分割的混合方法来描绘CIB和COB。表面的定量分析基于最佳拟合球面半径（R）。估计了整个表面以及每个区域（中央/鼻侧/颞侧/上方/下方区域）的R。使用SPSS软件进行统计分析。
有35只健康眼、32只患有CSCR的眼和30只患有干性AMD的眼。在CIB和COB处；RCSCR > R健康 > RAMD（P≤0.001）。在健康眼、CSCR眼和AMD眼中，中央区域在CIB和COB处一组内所有区域中R最低（P < 0.001）。在健康眼中，CIB和COB的R与黄斑中心凹下脉络膜厚度呈中度正相关，而在CSCR和AMD眼中相关性可忽略不计/较弱。
在CIB和COB处，脉络膜轮廓在CSCR中最平坦，在AMD中最陡峭。在健康眼和患病眼中，中央区域在所有扇形区域中都是最陡峭的。
对疾病中CIB和COB表面的定量研究有助于理解病理生理变化，并为疾病监测和治疗提供临床生物标志物。
