Multimodal imaging for early drusen detection: RM-SLO as a promising imaging approach
Abstract
Purpose This study aimed to evaluate the diagnostic performance of retro-mode scanning laser ophthalmoscopy (RM-SLO) in detecting drusen compared to conventional multimodal imaging. Additionally, it sought to explore the imaging characteristics of RM-SLO for early age-related macular degeneration (AMD). Methods In this cross-sectional study, 192 patients (263 eyes) were examined using color fundus photography (CFP), optical coherence tomography (OCT), fundus fluorescein angiography (FFA), fundus autofluorescence (FAF), and RM-SLO. Three retinal specialists independently reviewed all images for the presence of drusen. Detection rates across modalities were compared using Cochran’s Q-test, and imaging characteristics of hard and soft drusen were described. Results RM-SLO detected drusen in 102 eyes (38.78%). This detection rate was significantly higher compared to other methods such as OCT (22.05%), CFP (8.37%), FFA (5.32%), and FAF (4.18%) (all p < 0.0001 vs. RM-SLO). OCT was superior to CFP, FAF, and FFA ( p < 0.0001); CFP had statistically significant differences from FFA and FAF ( p = 0.039; p = 0.001). While FFA did not reveal any statistically significant differences from FAF ( p = 0.453). RM-SLO provided a clear pseudo-three-dimensional visualization, enabling the identification of both hard and soft drusen, including small lesions that were not captured by other modalities. Conclusion RM-SLO demonstrates superior sensitivity and imaging clarity for drusen detection compared to conventional multimodal approaches. Its ability to visualize small and morphologically distinct drusen highlights its potential as a promising tool for early AMD screening and clinical management.
Fields of Study & Subjects
Retinal Diseases and Treatments
Retinal Imaging and Analysis
Ophthalmology and Visual Health Research
Publication details
- Journal / source
- Frontiers in Medicine
- Volume
- 12
- Pages
- 1703332–1703332
- Publication date
- 12 January 2026
- Language
- EN