Purpose: In 2019, we described ASTEROID, a new stereotest run on a 3D tablet computer which involves a four-alternative disparity detection task on a dynamic random-dot stereogram. Stereo thresholds measured with ASTEROID were well correlated with, but systematically higher than (by a factor of around 1.5), thresholds measured with previous laboratory stereotests or the Randot Preschool clinical stereotest. We speculated that this might be due to the relatively large, sparse dots used in ASTEROID v0.9. Here, we introduce and test the stereo thresholds and test-repeatability of the new ASTEROID v1.0, which uses precomputed images to allow stereograms made up of much smaller, denser dots. Methods: Stereo thresholds and test/retest repeatability were tested and compared between the old and new versions of ASTEROID (n = 75) and the Randot Circles (n = 31) stereotest, in healthy young adults. Results: Thresholds on ASTEROID v1.0 are lower (better) than on ASTEROID v0.9 by a factor of 1.4, and do not differ significantly from thresholds on the Randot Circles. Thresholds were roughly log-normally distributed with a mean of 1.54 log 10 arcsec (35 arcsec) on ASTEROID v1.0 compared to 1.70 log 10 arcsec (50 arcsec) on ASTEROID v0.9. The standard deviation between observers was the same for both versions, 0.32 log 10 arcsec, corresponding to a factor of 2 above and below the mean. There was no difference between the versions in their test/ retest repeatability, with 95% coefficient of repeatability = 0.46 log 10 arcsec (a factor of 2.9 or 1.5 octaves) and a Pearson correlation of 0.8 (comparable to other clinical stereotests). Conclusion: The poorer stereo thresholds previously reported with ASTEROID v0.9 appear to have been due to the relatively large, coarse dots and low density used, rather than to some other aspect of the technology. Employing the small dots and high density used in ASTEROID v1.0, thresholds and test/retest repeatability are similar to other clinical stereotests.
There is growing evidence that thinned retinal regions are interspersed with thickened regions in all retinal layers of patients with Alzheimer’s disease (AD), causing roughness to appear on layer thickness maps. The hypothesis is that roughness of retinal layers, assessed by the fractal dimension (FD) of their thickness maps, is an early biomarker of AD. Ten retinal layers have been studied in macular volumes of optical coherence tomography from 24 healthy volunteers and 19 patients with mild AD (Mini-Mental State Examination 23.42 ± 3.11). Results show that FD of retinal layers is greater in the AD group, the differences being statistically significant (p < 0.05). Correlation of layer FD with cognitive score, visual acuity and age reach statistical significance at 7 layers. Nearly all (44 out of 45) FD correlations among layers are positive and half of them reached statistical significance (p < 0.05). Factor analysis unveiled two independent factors identified as the dysregulation of the choroidal vascular network and the retinal inflammatory process. Conclusions: surface roughness is a holistic feature of retinal layers that can be assessed by the FD of their thickness maps and it is an early biomarker of AD.
PurposeAlzheimer’s Disease (AD) is the most common cause of dementia. Retinal thickness changes had been reported in different stages of the disease, being these changes a biomarker of AD progression. There is increasing evidence that thinned and thickened regions are interspersed throughout the retinal layers of AD patients, resulting in the roughness of their bounding surfaces and thickness maps. The aim of this work is to prove the roughness of retinal layers, as assessed by the fractal dimension (FD) of their thickness maps, is an early biomarker of AD.MethodsA complete ophthalmological exam and cognitive test (Mini Mental State Examination) was carried out in 24 healthy volunteers and 19 patients with mild AD. Total retinal thickness and retinal layers thickness were studied by optical coherence tomography (OCT) and thickness retinal maps were obtained. From the whole retinal area scanned on each subject only a central square region available from all sample subjects was kept for roughness analysis. In this square, the FD of the thickness map of each retinal layer was calculated as an index of its roughness.ResultsThe FD of retinal layers is significantly higher (p < 0.05) in the AD group, compared to the healthy group. The correlation of FD with cognitive score, visual acuity and age reaches statistical significance in 7 layers. Nearly all (44 out of 45) FD correlations among layers are positive and half of them (23) reached statistical significance (p < 0.05). Factor analysis revealed two groups of retinal layers whose roughness evolves independently: the first includes two layers related to the outer segments and may be influenced by dysregulation of the choroidal vascular network; and the second includes the remaining layers, and may be associated with the inflammatory process of the retina.ConclusionsRoughness is a holistic feature of retinal layers that can be assessed by FD of their thickness maps and is an early biomarker of AD.
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