rticle Published: 16 August 2021 Fundus autofluorescence and
A Study was conducted to investigate the impact of qualitatively graded and deep learning quantified imaging biomarkers on growth of geographic atrophy (GA) secondary to age-related macular degeneration.

This study included 1062 visits of 181 eyes of 100 patients with GA. Spectral-domain optical coherence tomography (SD-OCT) and fundus autofluorescence (FAF) images were acquired at each visit. Hyperreflective foci (HRF) were quantitatively assessed in SD-OCT volumes using a validated deep learning algorithm. Linear mixed models were calculated to investigate associations between all parameters and GA progression.

--FAF patterns were significantly associated with GA progression. SDD was associated with faster GA growth.

--Eyes with higher HRF concentrations showed a trend towards faster GA progression and revealed a significant impact on GA enlargement in interaction with FAF patterns.

--The fellow eye status had no significant effect on lesion enlargement.

--The diffuse-trickling FAF pattern exhibited significantly higher HRF concentrations than any other pattern.

Conclusively, A wide range of biomarkers studied, SDD and FAF patterns, particularly when combined with HRF, had a significant impact on GA development. HRF are indicators of retinal pigment epithelium dysmorphia, a fundamental pathogenetic process in GA, hence fully automated quantification of retinal imaging biomarkers like HRF is both reliable and warranted. Using a combination of FAF and SD-OCT to identify illness markers has a high prognostic value and allows for more tailored patient management in a clinical environment.

Source: https://www.nature.com/articles/s41433-021-01747-z?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed:+eye/rss/current+(Eye+-+Issue)