研究目的
To optimize the perceptibility of Haidinger brushes (HB) and to investigate its association with visual acuity and macular pigment density.
研究成果
Macular pigment and a relatively preserved foveal function are necessary for the perception of HB. Haidinger brushes are usually not perceived by subjects with macular telangiectasia type 2, likely due to their characteristic foveal depletion of macular pigment.
研究不足
Negative foveal MPOD levels may suggest that the reference was not placed eccentrically enough. Central atrophy of the retinal pigment epithelium may interfere with the two-wavelength AF measurement, leading to misinterpretation of MPOD levels. Precise localization of the preferred retinal locus and an in-depth analysis of foveal pathologic changes were not performed.
1:Experimental Design and Method Selection:
Prospective cross-sectional study involving best-corrected visual acuity (BCVA) testing, funduscopy, and assessment of macular pigment optical density (MPOD) using the two-wavelength fundus autofluorescence method. Haidinger brush visibility was tested with a rotating linear polarizer and a controllable three-color light-emitting diode (LED) panel as light source. A simple model of macular pigment absorption was used to predict HB visibility as a function of stimulus wavelength and MPOD.
2:Sample Selection and Data Sources:
Ninety-two eyes of 46 healthy subjects and 198 eyes of 99 subjects with retinal diseases primarily affecting the macula were examined.
3:List of Experimental Equipment and Materials:
Rotating linear polarizer, controllable three-color LED panel, Heidelberg Retina Angiograph (HRA classic; Heidelberg Engineering), ETDRS charts, fundus-controlled microperimetry testing (MP-1; Nidek, Padua, Italy).
4:Experimental Procedures and Operational Workflow:
Subjects underwent BCVA testing, funduscopy, MPOD assessment, and HB visibility testing with different background colors.
5:Data Analysis Methods:
Statistical analysis was performed with Prism 6.0; GraphPad Software, Inc., using one-factor analysis of variance (ANOVA) followed by Tukey’s test for the pairwise comparison of groups. The impact of influential factors was evaluated by multivariable linear regression models with R.
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