Cynomolgus monkey's retina volume reference database based on hybrid deep learning optical coherence tomography segmentation.

Autor: Denk N; Pharma Research and Early Development (pRED), Pharmaceutical Sciences (PS), Roche, Innovation Center Basel, 4070, Basel, Switzerland.; Department of Ophthalmology, University Hospital Basel, 4031, Basel, Switzerland., Freichel C; Pharma Research and Early Development (pRED), Pharmaceutical Sciences (PS), Roche, Innovation Center Basel, 4070, Basel, Switzerland., Valmaggia P; Department of Ophthalmology, University Hospital Basel, 4031, Basel, Switzerland.; Institute of Molecular and Clinical Ophthalmology Basel, 4031, Basel, Switzerland., Inglin N; Institute of Molecular and Clinical Ophthalmology Basel, 4031, Basel, Switzerland., Scholl HPN; Department of Ophthalmology, University Hospital Basel, 4031, Basel, Switzerland.; Institute of Molecular and Clinical Ophthalmology Basel, 4031, Basel, Switzerland., Kaiser P; Supercomputing Systems, 8005, Zurich, Switzerland., Wise S; Charles River Laboratories, Senneville, QC, H9X 1C1, Canada., Vezina M; Charles River Laboratories, Senneville, QC, H9X 1C1, Canada., Maloca PM; Department of Ophthalmology, University Hospital Basel, 4031, Basel, Switzerland. peter.maloca@iob.ch.; Institute of Molecular and Clinical Ophthalmology Basel, 4031, Basel, Switzerland. peter.maloca@iob.ch.; Moorfields Eye Hospital NHS Foundation Trust, London, EC1V 2PD, UK. peter.maloca@iob.ch.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Apr 09; Vol. 13 (1), pp. 5797. Date of Electronic Publication: 2023 Apr 09.
DOI: 10.1038/s41598-023-32739-6
Abstrakt: Cynomolgus monkeys (Macaca fascicularis) are commonly used in pre-clinical ocular studies. However, studies that report the morphological features of the macaque retina are based only on minimal sample sizes; therefore, little is known about the normal distribution and background variation. This study was conducted using optical coherence tomography (OCT) imaging to investigate the variations in retinal volumes of healthy cynomolgus monkeys and the effects of sex, origin, and eye side on the retinal volumes to establish a comprehensive reference database. A machine-learning algorithm was employed to segment the retina within the OCT data (i.e., generated pixel-wise labels). Furthermore, a classical computer vision algorithm has identified the deepest point in a foveolar depression. The retinal volumes were determined and analyzed based on this reference point and segmented retinal compartments. Notably, the overall foveolar mean volume in zone 1, which is the region of the sharpest vision, was 0.205 mm 3 (range 0.154-0.268 mm 3 ), with a relatively low coefficient of variation of 7.9%. Generally, retinal volumes exhibit a relatively low degree of variation. However, significant differences in the retinal volumes due to the monkey's origin were identified. Additionally, sex had a significant impact on the paracentral retinal volume. Therefore, the origin and sex of cynomolgus monkeys should be considered when evaluating the macaque retinal volumes based on this dataset.
(© 2023. The Author(s).)
Databáze: MEDLINE
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