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Cynomolgus monkey's choroid reference database derived from hybrid deep learning optical coherence tomography

Peter M Maloca1,2,3, Christian Freichel4, Christof Hänsli5

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This study analyzed choroidal thickness in cynomolgus monkeys using advanced imaging. Results show considerable natural variation in choroidal thickness, important for non-clinical research applications.

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Area of Science:

  • Ophthalmology
  • Comparative Anatomy
  • Primate Research

Background:

  • Cynomolgus monkeys are valuable models in non-clinical research due to human-like ocular features, including a fovea.
  • Limited data exists on natural variations in choroidal thickness related to sex and origin in this species.

Purpose of the Study:

  • To investigate and quantify the natural variation of choroidal thickness and surface area in cynomolgus monkeys.
  • To establish a reference database for choroidal morphology in relation to sex and origin.

Main Methods:

  • Utilized a combination of deep learning and computer vision for automated segmentation of foveolar optical coherence tomography (OCT) images.
  • Measured central choroidal thickness and the surface area of the central cone bouquet.
  • Established reference choroid landmarks at precise intervals up to 2000 µm nasally and temporally.

Main Results:

  • Compiled a reference choroid database from 374 eyes across 203 animals.
  • Reported an overall average central choroidal thickness of 193 µm (CV 7.8%).
  • Determined mean surface areas for the central cone bouquet: 19,335 µm² temporally and 19,283 µm² nasally.

Conclusions:

  • Choroidal thickness in the fovea of cynomolgus monkeys appears relatively consistent between sexes and origins.
  • Significant natural variation in choroidal thickness exists, which is crucial for interpreting research findings.