# Novel Method to Measure Volumes of Retinal Specific Entities

**Authors:** Myrta Lippera, Mariantonia Ferrara, Karina Spiess, Nouf Alnafisee, Naseer Ally, Assad Jalil, Tsveta Ivanova, George Moussa

PMC · DOI: 10.3390/jcm13164620 · Journal of Clinical Medicine · 2024-08-07

## TL;DR

This paper introduces a new and reliable method using OCT scans to calculate retinal volumes, which can be used for various retinal pathologies.

## Contribution

A novel OCT-based method for calculating retinal volumes with high inter- and intra-observer agreement is introduced and validated.

## Key findings

- The new method showed excellent inter- and intra-observer agreement for retinal volume measurements.
- The method demonstrated high agreement with automated OCT software measurements in normal foveal profiles.
- The approach is applicable to retinal pathologies like lamellar macular holes.

## Abstract

Objectives: 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. Methods: 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 [mm3] = ∑area [mm2] × 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. Results: 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). Conclusions: 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.

## Full-text entities

- **Diseases:** LMHs (MESH:D012167), FS (MESH:C567024), retinal pathologies (MESH:D012164)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC11354505/full.md

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Source: https://tomesphere.com/paper/PMC11354505