PMID- 32821485
OWN - NLM
STAT- MEDLINE
DCOM- 20210514
LR  - 20210514
IS  - 2164-2591 (Print)
IS  - 2164-2591 (Electronic)
IS  - 2164-2591 (Linking)
VI  - 9
IP  - 5
DP  - 2020 Apr
TI  - Spectral Domain Optical Coherence Tomography in Awake Rabbits Allows 
      Identification of the Visual Streak, a Comparison with Histology.
PG  - 13
LID - 10.1167/tvst.9.5.13 [doi]
LID - 13
AB  - PURPOSE: To evaluate visual streak (VS) identification on spectral-domain optical 
      coherence tomography (SD-OCT) scans in awake rabbits. To report thickness 
      measurements in the VS and adjacent retina on OCT B-scans and histologic sections 
      and to assess inter-method bias, precision and repeatability between OCT and 
      histology. METHODS: Vertical SD-OCT B-scan images through the optic nerve head 
      and VS were acquired from 16 awake, ophthalmologically healthy experimental 
      rabbits. Scans were acquired from both eyes, which were later enucleated and 
      processed for light microscopy. Inner retina, inner nuclear layer, outer nuclear 
      layer, outer retina (OR) and photoreceptor outer segment (PROS) thickness were 
      measured on OCT images and digitalized microscopy slides in- and outside of the 
      VS, and compared using linear mixed effects models. RESULTS: Both SD-OCT and 
      histology allowed retinal layer identification and measurement. On OCT, OR and 
      PROS were thickest in the central VS and thinnest outside the VS. Histology 
      mirrored OCT results for central outer retinal layers but shows discrepancies for 
      other layers likely because of postmortem processing artifacts. The method 
      comparison demonstrated better repeatability for OCT measurements compared with 
      histology. CONCLUSIONS: Increased OR and PROS thickness compared with the 
      adjacent retina allowed identification of the VS on SD-OCT in awake rabbits. OCT 
      allows measurements devoid of processing artifacts in contrast to histology. 
      TRANSLATIONAL RELEVANCE: SD-OCT is possible in awake rabbits. Easy and reliable 
      identification of the VS may facilitate the positioning and use of rabbits as 
      model species in human macular and generalized retinal disease research.
CI  - Copyright 2020 The Authors.
FAU - Lavaud, Arnold
AU  - Lavaud A
AD  - Ophthalmology Section, Equine Department, Vetsuisse Faculty, University of 
      Zurich, Zurich, Switzerland.
FAU - Soukup, Petr
AU  - Soukup P
AD  - Ophthalmology Section, Equine Department, Vetsuisse Faculty, University of 
      Zurich, Zurich, Switzerland.
FAU - Martin, Louise
AU  - Martin L
AD  - Clinic for Zoo Animals, Exotic Pets and Wildlife, Vetsuisse Faculty, University 
      of Zurich, Zurich, Switzerland.
FAU - Hartnack, Sonja
AU  - Hartnack S
AD  - Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, 
      Switzerland.
FAU - Pot, Simon
AU  - Pot S
AD  - Ophthalmology Section, Equine Department, Vetsuisse Faculty, University of 
      Zurich, Zurich, Switzerland.
LA  - eng
PT  - Journal Article
DEP - 20200423
PL  - United States
TA  - Transl Vis Sci Technol
JT  - Translational vision science & technology
JID - 101595919
MH  - Animals
MH  - Histological Techniques
MH  - *Optic Disk/diagnostic imaging
MH  - Rabbits
MH  - Retina/diagnostic imaging
MH  - *Tomography, Optical Coherence
MH  - Wakefulness
PMC - PMC7401941
OTO - NOTNLM
OT  - SD-OCT
OT  - histology
OT  - optical coherence tomography
OT  - outer retina
OT  - photoreceptors
OT  - rabbit
OT  - visual streak
COIS- Disclosure: A. Lavaud, None; P. Soukup, None; L. Martin, None; S. Hartnack, None; 
      S. Pot, None
EDAT- 2020/08/22 06:00
MHDA- 2020/08/22 06:01
PMCR- 2020/04/23
CRDT- 2020/08/22 06:00
PHST- 2019/10/08 00:00 [received]
PHST- 2020/02/13 00:00 [accepted]
PHST- 2020/08/22 06:00 [entrez]
PHST- 2020/08/22 06:00 [pubmed]
PHST- 2020/08/22 06:01 [medline]
PHST- 2020/04/23 00:00 [pmc-release]
AID - TVST-19-2027 [pii]
AID - 10.1167/tvst.9.5.13 [doi]
PST - epublish
SO  - Transl Vis Sci Technol. 2020 Apr 23;9(5):13. doi: 10.1167/tvst.9.5.13. 
      eCollection 2020 Apr.