Histological measurement of retinal nerve fibre layer thickness

Frenkel, Shahar; Morgan, James I.; Blumenthal, Eytan Z.

doi:10.1038/sj.eye.6701569

Cited by 56 publications

(39 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By analyzing the human retina and optic structure, Yu et al [27] found that RPC and RNFL thickness are closely linked and the RPC density and RNFL thickness were highest at the superotemporal and inferotemporal quadrants. Our research reported that the vessel density and RNFL thickness in superior and inferior sectors were the highest, consistent with previous studies [28]. …”

Section: Discussionsupporting

confidence: 82%

Reliability of Vessel Density Measurements in the Peripapillary Retina and Correlation with Retinal Nerve Fiber Layer Thickness in Healthy Subjects Using Optical Coherence Tomography Angiography

She

Guo

et al. 2018

Ophthalmologica

View full text Add to dashboard Cite

Purpose: To evaluate the reliability of vessel density measurements in the peripapillary retina using optical coherence tomography angiography (OCT-A) and to analyze the correlation with retinal nerve fiber layer (RNFL) thickness in healthy subjects. Method: Thirty-five healthy volunteers were recruited in the study. The optic disc region was scanned three times with spectral-domain OCT (SD-OCT) and split-spectrum amplitude decorrelation angiography by two skilled examiners. Vessel density of the peripapillary retina was automatically calculated by the software RTVue-XR (version 2015.1.1.98). The RNFL thickness on the optic nerve head was measured by SD-OCT. The coefficient of variation (CV), coefficient of repeatability, and intraclass correlation coefficients (ICC) were calculated for intraobserver repeatability. The Bland-Altman analysis was used to determine interobserver reproducibility. Correlations between peripapillary retinal vessel density and RNFL thickness were analyzed using a multivariable linear regression. Results: The mean age of the volunteers was 47.0 ± 29.7 years. The intraobserver repeatability in different sectors of the peripapillary retina was good with a high coefficient of repeatability, low CV (< 0.2%), and high ICC (0.847–0.952). The interobserver reproducibility was also good in different sectors, but should be interpreted with caution due to the difference bias caused by different observers in some quadrants. There was a significant positive correlation between vessel density and RNFL thickness; optic disc rim area and disc area were negatively related to vessel density (p = 0.008 and p = 0.001, respectively). Conclusion: Vessel density measurements showed good repeatability and reproducibility by OCT-A in the peripapillary retina, the vessel density was positively related to RNFL thickness and negatively related to optic disc area and rim area.

show abstract

Section: Discussionsupporting

confidence: 82%

Reliability of Vessel Density Measurements in the Peripapillary Retina and Correlation with Retinal Nerve Fiber Layer Thickness in Healthy Subjects Using Optical Coherence Tomography Angiography

She

Guo

et al. 2018

Ophthalmologica

View full text Add to dashboard Cite

show abstract

“…A similar procedure was employed to obtain the coefficient of proportionality between RNFL area and axon density for the normative data for the youngest human subjects. The axon density from these data (1.25 axons/μm 2 ) was smaller than for monkeys (1.71 axons/μm 2 ), probably because the fixed-diameter scan circle is closer to the optic nerve head in the shorter eye of a monkey [10,16,26,50].…”

Section: Translation Of Sap and Oct Data To Numbers Of Neuronsmentioning

confidence: 54%

Modeling the effects of aging on retinal ganglion cell density and nerve fiber layer thickness

Harwerth

Wheat

2007

Graefes Arch Clin Exp Ophthalmol

View full text Add to dashboard Cite

The analysis of normative data suggests a model of age-related thinning of RNFL in which the relationship between RNFL thickness and the density of RGC axons varies with the number of neurons that are lost through normal aging. This model posits that the OCT measurement of total RNFL thickness of a normal retina represents two components: 1) an age-dependent population of RNFL axons, and 2) a non-neural component that partially compensates for the age-related decrease in axons in the nerve fiber layer.

show abstract

“…Typical thickness of the nerve fiber layer far from the optic disc ranges from 20 to 40 µm [37], and the ganglion cell layer from 20 to 40 µm. An array of 40 µm electrodes positioned right at the epiretinal surface should have sufficient proximity for electrical stimulation of ganglion cells.…”

Section: Three-dimensional Implants For Higher Resolutionmentioning

confidence: 99%

Optoelectronic retinal prosthesis: system design and performance

et al. 2007

View full text Add to dashboard Cite

The design of high-resolution retinal prostheses presents many unique engineering and biological challenges. Ever smaller electrodes must inject enough charge to stimulate nerve cells, within electrochemically safe voltage limits. Stimulation sites should be placed within an electrode diameter from the target cells to prevent 'blurring' and minimize current. Signals must be delivered wirelessly from an external source to a large number of electrodes, and visual information should, ideally, maintain its natural link to eye movements. Finally, a good system must have a wide range of stimulation currents, external control of image processing and the option of either anodic-first or cathodic-first pulses. This paper discusses these challenges and presents solutions to them for a system based on a photodiode array implant. Video frames are processed and imaged onto the retinal implant by a head-mounted near-to-eye projection system operating at near-infrared wavelengths. Photodiodes convert light into pulsed electric current, with charge injection maximized by applying a common biphasic bias waveform. The resulting prosthesis will provide stimulation with a frame rate of up to 50 Hz in a central 10• visual field, with a full 30• field accessible via eye movements. Pixel sizes are scalable from 100 to 25 µm, corresponding to 640-10 000 pixels on an implant 3 mm in diameter.

show abstract

Histological measurement of retinal nerve fibre layer thickness

Cited by 56 publications

References 24 publications

Reliability of Vessel Density Measurements in the Peripapillary Retina and Correlation with Retinal Nerve Fiber Layer Thickness in Healthy Subjects Using Optical Coherence Tomography Angiography

Reliability of Vessel Density Measurements in the Peripapillary Retina and Correlation with Retinal Nerve Fiber Layer Thickness in Healthy Subjects Using Optical Coherence Tomography Angiography

Modeling the effects of aging on retinal ganglion cell density and nerve fiber layer thickness

Optoelectronic retinal prosthesis: system design and performance

Contact Info

Product

Resources

About