Correlation between human expert macular fluid height assessment and fluid volume quantification in neovascular age-related macular degeneration
Year: 2026
Type: article
Study design: Observational Study
Abstract: To investigate the association between manually measured retinal fluid heights and AI-quantified retinal fluid volumes and to explore disease activity indicated by fluid volume distributions in neovascular age-related macular degeneration (nAMD) using an approved AI-based algorithm. This retrospective study analyzed baseline OCT data from a multicenter nAMD cohort. Manually measured maximum macular fluid heights on B-scans in the central millimeter (CMM) for intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED) were compared with vertical fluid heights and three-dimensional volumes obtained by automated quantification using an AI-based tool (RetInSight Fluid Monitor Version 2). Out of 890 eyes, IRF was identified in the CMM in 328 eyes, SRF in 502 eyes, and PED in 705 eyes. The correlation between manual and AI-based height measurements was strong for IRF (r = 0.87) and PED (r = 0.91), and moderate for SRF (r = 0.67). Manual height-AI volume correlations within the CMM were strong for IRF (r = 0.76) and PED (r = 0.87), and moderate for SRF (r = 0.55). These correlations decreased when total fluid volumes within the central 6 mm were compared with manual CMM height, indicating that CMM height does not represent total nAMD disease activity. In conclusion, AI-derived and manual height measurements showed strong agreement for IRF and PED and moderate agreement for SRF. Maximum fluid height did not reliably reflect overall fluid volume or spatial distribution. AI-based retinal fluid assessment enables quantitative, whole-volume evaluation of retinal fluid and provides a measure of nAMD disease activity.
Source: Scientific Reports
Institution: Medical University of Vienna
Language: English
Subfield: Ophthalmology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W7140201172
