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The reliability of parafoveal cone density measurements. | LitMetric

The reliability of parafoveal cone density measurements.

Br J Ophthalmol

Department of Ophthalmology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA Department of Biomedical Engineering, Marquette University, Milwaukee, Wisconsin, USA Departments of Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin, USA Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

Published: August 2014

AI Article Synopsis

  • Adaptive optics scanning light ophthalmoscopy (AOSLO) allows for detailed imaging of the cone mosaic in the retina, which helps assess retinal health through measurements like cone density and spacing.
  • A study was conducted to evaluate the reliability of cone density measurements, involving imaging 30 subjects to assess interobserver reliability and 20 subjects for inter-instrument reliability.
  • Results showed that the main variability in measurements came from the subjects themselves (95.72%) rather than the observers, and the inter-instrument consistency was high, with an intraclass correlation coefficient ranging from 0.931 to 0.975.

Article Abstract

Background: Adaptive optics scanning light ophthalmoscopy (AOSLO) enables direct visualisation of the cone mosaic, with metrics such as cone density and cell spacing used to assess the integrity or health of the mosaic. Here we examined the interobserver and inter-instrument reliability of cone density measurements.

Methods: For the interobserver reliability study, 30 subjects with no vision-limiting pathology were imaged. Three image sequences were acquired at a single parafoveal location and aligned to ensure that the three images were from the same retinal location. Ten observers used a semiautomated algorithm to identify the cones in each image, and this was repeated three times for each image. To assess inter-instrument reliability, 20 subjects were imaged at eight parafoveal locations on one AOSLO, followed by the same set of locations on the second AOSLO. A single observer manually aligned the pairs of images and used the semiautomated algorithm to identify the cones in each image.

Results: Based on a factorial study design model and a variance components model, the interobserver study's largest contribution to variability was the subject (95.72%) while the observer's contribution was only 1.03%. For the inter-instrument study, an average cone density intraclass correlation coefficient (ICC) of between 0.931 and 0.975 was calculated.

Conclusions: With the AOSLOs used here, reliable cone density measurements can be obtained between observers and between instruments. Additional work is needed to determine how these results vary with differences in image quality.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112420PMC
http://dx.doi.org/10.1136/bjophthalmol-2013-304823DOI Listing

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