Differential Vulnerability of Retinal Layers to Early Age-Related Macular Degeneration: Evidence by SD-OCT Segmentation Analysis

Savastano, Maria Cristina; Minnella, Angelo Maria; Tamburrino, Antonello; Giovinco, Gaspare; Ventre, Salvatore; Falsini, Benedetto

doi:10.1167/iovs.13-12172

Cited by 57 publications

(52 citation statements)

References 41 publications

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“…Grouping the two layers together results in conclusions that are, in the best-case scenario imprecise and, in the worst-case scenario, erroneous. Without accounting for HFL, the ONL thickness changes have been reported in numerous disease conditions including outer retinal atrophy 30 , geographic atrophy 31 , and ABCA4 mutations 32 . However, because HFL was not identified and accounted for in these measurements, the true extent of photoreceptor nuclear loss cannot be known.…”

Section: Discussionmentioning

confidence: 99%

Directional Optical Coherence Tomography Provides Accurate Outer Nuclear Layer and Henle Fiber Layer Measurements

Lujan

Roorda

Croskrey

et al. 2015

Retina

128

111

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Purpose The outer nuclear layer (ONL) contains photoreceptor nuclei, and its thickness is an important biomarker for retinal degenerations. Accurate ONL thickness measurements are obscured in standard optical coherence tomography (OCT) images because of Henle fiber layer (HFL). Improved differentiation of the ONL and HFL boundary is made possible by using Directional OCT (D-OCT), a method that purposefully varies the pupil entrance position of the OCT beam. Methods Fifty-seven normal eyes were imaged using multiple pupil entry positions with a commercial SDOCT system. Cross-sectional image sets were registered to each other, and segmented at the top of HFL, the border of HFL and the ONL and at the external limiting membrane. Thicknesses of the ONL and HFL were measured and analyzed. Results The true ONL and HFL thicknesses varied substantially by eccentricity and between individuals. The true macular ONL thickness comprised an average of 54.6% of measurements that also included HFL. The ONL and HFL thicknesses at specific retinal eccentricities were poorly correlated. Conclusion Accurate ONL and HFL thickness measurements are made possible by the optical contrast of D-OCT. Distinguishing these individual layers can improve clinical trial endpoints and assessment of disease progression.

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Section: Discussionmentioning

confidence: 99%

Directional Optical Coherence Tomography Provides Accurate Outer Nuclear Layer and Henle Fiber Layer Measurements

Lujan

Roorda

Croskrey

et al. 2015

Retina

128

111

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“…This study was designed to employ SD-OCT to specifically assess GCC and RNFL thickness in AMD patients at different stages, however it turned out to be difficult to make a comparison with other investigations because of the different instruments used and the absence of a control group of healthy subjects 15,17,18 .…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

Macular Ganglion Cell Complex and Retinal Nerve Fiber Layer Comparison in Different Stages of Age-Related Macular Degeneration

Zucchiatti¹,

Parodi²,

Pierro³

et al. 2015

American Journal of Ophthalmology

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“…The importance to define the single retinal thickness could be also potentially useful to determine: (i) which layers are involved or get thicker first in the different macular diseases [34]; (ii) the relation between lacks of tissue and its remaining function comparing the morphological analysis with functional analysis (i.e. visual acuity, electroretinography, microperimetry, etc.)…”

Section: Resultsmentioning

confidence: 99%

Automated detection of retinal layers from OCT spectral-domain images of healthy eyes

Giovinco

Savastano

Ventre

et al. 2015

Journal of Modern Optics

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Optical coherence tomography (OCT) has become one of the most relevant diagnostic tools for retinal diseases. Besides being a non-invasive technique, one distinguished feature is its unique capability of providing (in vivo) cross-sectional view of the retinal. Specifically, OCT images show the retinal layers. From the clinical point of view, the identification of the retinal layers opens new perspectives to study the correlation between morphological and functional aspects of the retinal tissue. The main contribution of this paper is a new method/algorithm for the automated segmentation of crosssectional images of the retina of healthy eyes, obtained by means of spectral domain optical coherence tomography (SD-OCT). Specifically, the proposed segmentation algorithm provides the automated detection of different retinal layers. Tests on experimental SD-OCT scans performed by three different instruments/manufacturers have been successfully carried out and compared to a manual segmentation made by an independent ophthalmologist, showing the generality and the effectiveness of the proposed method.

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Differential Vulnerability of Retinal Layers to Early Age-Related Macular Degeneration: Evidence by SD-OCT Segmentation Analysis

Cited by 57 publications

References 41 publications

Directional Optical Coherence Tomography Provides Accurate Outer Nuclear Layer and Henle Fiber Layer Measurements

Directional Optical Coherence Tomography Provides Accurate Outer Nuclear Layer and Henle Fiber Layer Measurements

Macular Ganglion Cell Complex and Retinal Nerve Fiber Layer Comparison in Different Stages of Age-Related Macular Degeneration

Automated detection of retinal layers from OCT spectral-domain images of healthy eyes

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