Lippera Myrta, Ferrara Mariantonia, Spiess Karina, Alnafisee Nouf, Ally Naseer, Jalil Assad, Ivanova Tsveta, Moussa George
Manchester Royal Eye Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, UK.
School of Medicine, University of Malaga, 29071 Malaga, Spain.
J Clin Med. 2024 Aug 7;13(16):4620. doi: 10.3390/jcm13164620.
The aim of this study is to describe and validate an optical-coherence-tomography (OCT)-based method to easily calculate specific volumes, addressing the limitations of current OCT software in automating volumetric analysis for specific entities in retinal pathologies. : After manually drawing the specific entity on linear OCT scans using the calliper function and automated measurement of its area, the following formula was used for volumetric calculation: Volume [mm] = ∑area [mm] × OCT-scan distance [mm]. Retinal volume (RV) was measured by two independent observers in eyes with a normal foveal profile (NFP) and was compared with the automated measurements performed by the OCT software (Engineering GmbH, Heidelberg, Germany); the same process was repeated for the volume of the foveal cavity (FC) or foveoschisis (FS) in eyes with lamellar macular holes (LMHs). Power calculations were conducted to ensure adequate sample size. The measurements were re-acquired after six weeks. Intra- and inter-observer variability as well as comparison to automated RV calculations were analysed. : This study included a total of 62 eyes divided into two groups: the NFP (30 eyes) and LMH (32 eyes) groups. The Bland-Altman plots showed a high degree of agreement in both groups for inter-observer and intra-observer agreement. In addition, in the NFP group, a high degree of agreement was demonstrated between human observers and the OCT software (Spectralis). : An easy, reliable, and widely applicable method to calculate volumes is described and validated in this paper, showing excellent inter- and intra-observer agreement, which can be applied to any entity requiring a specific study in the context of retinal pathologies.
本研究的目的是描述和验证一种基于光学相干断层扫描（OCT）的方法，以轻松计算特定体积，解决当前OCT软件在视网膜病变中对特定实体进行体积分析自动化方面的局限性。在使用卡尺功能在直线OCT扫描上手动绘制特定实体并自动测量其面积后，使用以下公式进行体积计算：体积[mm]=∑面积[mm]×OCT扫描距离[mm]。由两名独立观察者对具有正常黄斑中心凹轮廓（NFP）的眼睛进行视网膜体积（RV）测量，并与OCT软件（德国海德堡工程有限公司）进行的自动测量结果进行比较；对患有板层黄斑裂孔（LMH）的眼睛的黄斑中心凹腔（FC）或黄斑劈裂（FS）体积重复相同的过程。进行功效计算以确保足够的样本量。六周后重新进行测量。分析了观察者内和观察者间的变异性以及与自动RV计算结果的比较。本研究共纳入62只眼睛，分为两组：NFP组（30只眼睛）和LMH组（32只眼睛）。Bland-Altman图显示两组在观察者间和观察者内一致性方面均具有高度一致性。此外，在NFP组中，人类观察者与OCT软件（Spectralis）之间显示出高度一致性。本文描述并验证了一种简单、可靠且广泛适用的体积计算方法，显示出观察者间和观察者内的出色一致性，可应用于视网膜病变背景下任何需要特定研究的实体。
