| Literature DB >> 23740965 |
D Jackson Coleman1, Ronald H Silverman, Mark J Rondeau, Harriet O Lloyd, Aziz A Khanifar, R V Paul Chan.
Abstract
AIM: Our aim is to use ultrasound to non-invasively detect differences in choroidal microarchitecture possibly related to ischaemia among normal eyes and those with wet and dry age-related macular degeneration (AMD).Entities:
Keywords: Choroid; Degeneration; Imaging; Macula; Treatment Medical
Mesh:
Substances:
Year: 2013 PMID: 23740965 PMCID: PMC3717761 DOI: 10.1136/bjophthalmol-2013-303143
Source DB: PubMed Journal: Br J Ophthalmol ISSN: 0007-1161 Impact factor: 4.638
Figure 1Boxplots showing distribution of interscale phase consistency, a wavelet-derived variable sensitive to fluid vessel wall boundaries, for non-age-related macular degeneration (AMD), dry AMD and wet AMD eyes. The relatively low value of this parameter in dry AMD indicates a reduction in the fluid wall boundaries (ischaemia) and an increase from normal in wet AMD.
Figure 2Multiclass receiver operating characteristic curve demonstrating performance of the multivariate classifier for separation of the three groups: normal, dry-age-related macular degeneration (AMD) and wet AMD. The volume under the surface was 0.892±0.17, indicative of excellent distinction among groups.
Figure 320 MHz ultrasound images of normal (top) and age-related macular degeneration (AMD) (bottom) eyes after semiautomated segmentation of retina (R), choroid (C) and sclera (S) as indicated by coloration. Wavelet processing was applied to the echo data encompassed by boxed regions. Note enhancement of druse in wavelet-processed area of AMD image. The choroid is more irregular in thickness in AMD than in normal eyes, as demonstrated here. These ‘hybrid’ or wavelet augmented ultrasound images demonstrate the use of classifiers such as interscale phase consistency.