Related Experiment Video
Updated: Dec 12, 2025
10:14
Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
Published on: May 26, 2023
4.0K
Sensitivity and Specificity of Multimodal Imaging in Characterizing Drusen
Mariano Cozzi1, Davide Monteduro1, Salvatore Parrulli1
1Eye Clinic, Department of Biomedical and Clinical Science "Luigi Sacco," Luigi Sacco Hospital, University of Milan, Milan, Italy.
Ophthalmology. Retina
|August 11, 2020
Summary
Different imaging techniques accurately detect subtypes of age-related macular degeneration (AMD) drusen and subretinal drusenoid deposits (SDDs). Confocal pseudocolor excels for ribbon SDDs, while retromode imaging aids in identifying smaller drusen.
Area of Science:
- Ophthalmology
- Medical Imaging
- Retinal Diseases
Background:
- Age-related macular degeneration (AMD) is a leading cause of vision loss.
- Accurate characterization of drusen and subretinal drusenoid deposits (SDDs) is crucial for AMD management.
- Multimodal imaging offers comprehensive visualization of retinal structures.
Purpose of the Study:
- To evaluate the diagnostic accuracy of various imaging modalities for early/intermediate AMD.
- To compare the effectiveness of different techniques in differentiating AMD subtypes.
Main Methods:
- Prospective, observational, cross-sectional study of 100 eyes with early/intermediate AMD.
- Multimodal imaging assessment including near-infrared reflectance (NIR), green fundus autofluorescence (G-FAF), confocal pseudocolor, and retromode (DR/DL).
- Drusen and SDDs classified by size and phenotype; multimodal imaging served as the reference standard.
Main Results:
- High interobserver agreement (0.76–0.95) across imaging modalities.
- Confocal pseudocolor showed high sensitivity (96.6%) and specificity (77.8%) for large drusen.
- Retromode DR/DL demonstrated good sensitivity for smaller drusen (92% and 85.2%).
- Ribbon SDDs best identified by color imaging (80.5% sensitivity, 98.3% specificity); dot SDDs by NIR and G-FAF.
Conclusions:
- Near-infrared reflectance and G-FAF are recommended for dot SDD classification.
- Confocal pseudocolor is optimal for characterizing ribbon SDDs.
- Retromode imaging (DR/DL) may supplement detection of small drusen in AMD.
