Novel Method to Measure Volumes of Retinal Specific Entities.
Myrta LipperaMariantonia FerraraKarina SpiessNouf AlnafiseeNaseer AllyAssad JalilTsveta IvanovaGeorge MoussaPublished in: Journal of clinical medicine (2024)
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 [mm 3 ] = ∑area [mm 2 ] × 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.
Keyphrases
- optical coherence tomography
- diabetic retinopathy
- optic nerve
- machine learning
- mycobacterium tuberculosis
- computed tomography
- endothelial cells
- high throughput
- molecular dynamics
- magnetic resonance imaging
- density functional theory
- molecular dynamics simulations
- contrast enhanced
- data analysis
- preterm infants
- preterm birth