ArticleInvestigative ophthalmology & visual science2019
A 2-Year Longitudinal Study of Normal Cone Photoreceptor Density.
Article in Investigative ophthalmology & visual science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 18 citations in OpenAlex.
- Longitudinal Imaging of the Foveal Cone Mosaic in CNGA3-Associated Achromatopsia.Investigative ophthalmology & visual science · 2024Article
- Gene Therapy for Achromatopsia.International journal of molecular sciences · 2024Review
- Intervisit Reproducibility of Foveal Cone Density Metrics.Translational vision science & technology · 2024Article
- Longitudinal Assessment of OCT-Based Measures of Foveal Cone Structure in Achromatopsia.Investigative ophthalmology & visual science · 2024Article
- A versatile laser-induced porcine model of outer retinal and choroidal degeneration for preclinical testing.JCI insight · 2023Article
- Twenty-five years of clinical applications using adaptive optics ophthalmoscopy [Invited].Biomedical optics express · 2023Review
- Reflectance adaptive optics findings in a patient with Vogt-Koyanagi-Harada disease.American journal of ophthalmology case reports · 2022Article
- Comparison of Cone Mosaic Metrics From Images Acquired With the SPECTRALIS High Magnification Module and Adaptive Optics Scanning Light Ophthalmoscopy.Translational vision science & technology · 2022Article
- Promises and pitfalls of evaluating photoreceptor-based retinal disease with adaptive optics scanning light ophthalmoscopy (AOSLO).Progress in retinal and eye research · 2021Review
- Cone Identification in Choroideremia: Repeatability, Reliability, and Automation Through Use of a Convolutional Neural Network.Translational vision science & technology · 2020Article
- SPATIALLY INFORMED CNN FOR AUTOMATED CONE DETECTION IN ADAPTIVE OPTICS RETINAL IMAGES.Proceedings. IEEE International Symposium on Biomedical Imaging · 2020Article
- Photoreceptor Structure in GNAT2-Associated Achromatopsia.Investigative ophthalmology & visual science · 2020Article
- Automatic longitudinal montaging of adaptive optics retinal images using constellation matching.Biomedical optics express · 2019Article
- Fully Automated Estimation of Spacing and Density for Retinal Mosaics.Translational vision science & technology · 2019Article
- Longitudinal Imaging of the Parafoveal Cone Mosaic in Congenital Achromatopsia.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Purpose: Despite the potential for adaptive optics scanning light ophthalmoscopy (AOSLO) to quantify retinal disease progression at the cellular level, there remain few longitudinal studies investigating changes in cone density as a measure of disease progression. Here, we undertook a prospective, longitudinal study to investigate the variability of cone density measurements in normal subjects during a 2-year period. Methods: Fourteen eyes of nine subjects with no known ocular pathology were imaged both at a baseline and a 2-year follow-up visit by using confocal AOSLO at five retinal locations. Two-year affine-registered images were created to minimize the effects of intraframe distortions. Regions of interest were cropped from baseline, 2-year manually aligned, and 2-year affine-registered images. Cones were identified (graded masked) and cone density was extracted. Results: Mean baseline cone density (cones/mm2) was 87,300, 62,200, 45,500, 28,700, and 18,200 at 190, 350, 500, 900, and 1500 μm, respectively. The mean difference (± standard deviation [SD]) in cone density from baseline to 2-year affine-registered images was 1400 (1700), 100 (1800), 300 (800), 400 (800), and 1000 (2400) cones/mm2 at the same locations. The mean difference in cone density during the 2-year period was lower for affine-registered images than manually aligned images. Conclusions: There was no meaningful change in normal cone density during a 2-year period. Intervisit variability in cone density measurements decreased when intraframe distortions between time points were minimized. This variability must be considered when planning prospective longitudinal clinical trials using changes in cone density as an outcome measure for assessing retinal disease progression.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.