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Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
Published on: March 11, 2016
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Macular pigment evaluation using dual-wavelength fundus auto-fluorescence imaging
Patrik Rajs1,2, Ivana Liehneova1, Zbynek Stranak2
1Department of Ophthalmology, UJEP Masaryk Hospital, Krajska zdravotni, a.s., Usti nad Labem, Czech Republic.
Summary
Daily lutein supplements increased macular pigment levels, as measured by fundus autofluorescence. This technique shows promise for monitoring eye health and retinal disease prevention.
Area of Science:
- Ophthalmology
- Nutritional Science
- Medical Imaging
Background:
- Macular pigment is crucial for reducing oxidative stress and preventing retinal diseases.
- Accurate and rapid macular pigment measurement is vital for clinical and research applications.
- Dual wavelength fundus autofluorescence (DW-FAF) is an optimal method for macular pigment assessment.
Purpose of the Study:
- To evaluate changes in fundus autofluorescence in patients using daily lutein supplements.
- To develop image processing techniques for longitudinal follow-up evaluations of macular pigment.
- To assess the efficacy of lutein supplementation on macular pigment density.
Main Methods:
- Utilized new devices for fundus autofluorescence imaging with blue and green excitation wavelengths.
- Quantified macular pigment by subtracting images, leveraging blue light absorption by macular pigments.
- Administered a daily dose of 25 mg lutein and 3 mg zeaxanthin, with follow-ups every 3 months for 15 months.
Main Results:
- Observed a positive trend in pixel lightness, indicating increased macular pigment in the foveal area over 15 months.
- Demonstrated a significant increase in the foveal index after six months of daily lutein supplementation (median change: 0.081).
- Noted minimal changes at 3 months (0.006) and a small increase between 6 and 12 months (0.012).
Conclusions:
- Dual wavelength fundus autofluorescence, with post-processing analysis, is a valuable tool for macular pigment evaluation in follow-up studies.
- The technique is feasible with commonly available hardware and appropriate patient/imaging protocols.
- Automation of assessment tools is needed for routine clinical implementation.

