Early detection of cone photoreceptor cell loss in retinitis pigmentosa using adaptive optics scanning laser ophthalmoscopy

Shunji Nakatake, Yusuke Murakami, Jun Funatsu, Yoshito Koyanagi, Masato Akiyama, Yukihide Momozawa, Tatsuro Ishibashi, Koh Hei Sonoda, Yasuhiro Ikeda

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Purpose The purpose of the study was to investigate the characteristics of the parafoveal cone density changes in patients with retinitis pigmentosa (RP) using adaptive optics scanning laser ophthalmoscopy (AO-SLO). Methods A total of 14 eyes of RP patients and 10 eyes of control subjects were examined. High-resolution images of cone photoreceptor cells were obtained with a Canon AO-SLO system in the four retinal regions of the superior, inferior, temporal, and nasal areas located 1.0 mm from the central fovea. The relationships of cone density with optical coherence tomography (OCT) findings and the visual sensitivity of the static perimetry tests were analyzed in RP patients. Results The averaged cone densities in RP patients were decreased at 1.0 mm eccentricity from the fovea (11,899 cells/mm2) compared with those in control subjects (16,647 cells/mm2; P < 0.01). The cone density was substantially decreased even in RP patients with an intact interdigitation zone at the examined area (12,865 cells/mm2; P < 0.01 vs. controls) and preserved visual sensitivity with > 35 dB (13,019 cells/mm2; P < 0.001 vs. controls). Conclusions In RP, cone photoreceptor cell loss occurred in the parafoveal region with a preserved EZ/IZ or visual sensitivity. AO-SLO may be a useful modality to detect early changes of cone photoreceptor cells in RP patients.

Original languageEnglish
Pages (from-to)1169-1181
Number of pages13
JournalGraefe's Archive for Clinical and Experimental Ophthalmology
Volume257
Issue number6
DOIs
Publication statusPublished - Jun 2019

All Science Journal Classification (ASJC) codes

  • Ophthalmology
  • Sensory Systems
  • Cellular and Molecular Neuroscience

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