ArticleInvestigative ophthalmology & visual science2017
Reliability and Repeatability of Cone Density Measurements in Patients With Stargardt Disease and RPGR-Associated Retinopathy.
Article in Investigative ophthalmology & visual science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Automated cone photoreceptor detection using synthetic data and deep learning in confocal adaptive optics scanning laser ophthalmoscope images.Scientific reports · 2026Article
- Adaptive optics scanning laser ophthalmoscopy in a heterogenous cohort with Stargardt disease.Scientific reports · 2024Observational
- Morphology of the normative human cone photoreceptor mosaic and a publicly available adaptive optics montage repository.Scientific reports · 2024Article
- Review
- Progression of Rare Inherited Retinal Dystrophies May Be Monitored by Adaptive Optics Imaging.Life (Basel, Switzerland) · 2023Article
- Characteristics of Rare Inherited Retinal Dystrophies in Adaptive Optics-A Study on 53 Eyes.Diagnostics (Basel, Switzerland) · 2023Article
- Pearls and Pitfalls of Adaptive Optics Ophthalmoscopy in Inherited Retinal Diseases.Diagnostics (Basel, Switzerland) · 2023Review
- Intergrader agreement of foveal cone topography measured using adaptive optics scanning light ophthalmoscopy.Biomedical optics express · 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
- Automated Assessment of Photoreceptor Visibility in Adaptive Optics Split-Detection Images Using Edge Detection.Translational vision science & technology · 2022Article
- Structural evaluation in inherited retinal diseases.The British journal of ophthalmology · 2021Review
- Short-Term Parafoveal Cone Loss Despite Preserved Ellipsoid Zone in Rod Cone Dystrophy.Translational vision science & technology · 2021Observational
- Promises and pitfalls of evaluating photoreceptor-based retinal disease with adaptive optics scanning light ophthalmoscopy (AOSLO).Progress in retinal and eye research · 2021Review
- Interocular Symmetry of Foveal Cone Topography in Congenital Achromatopsia.Current eye research · 2020Article
- Retinal imaging in inherited retinal diseases.Annals of eye science · 2020Article
- Retinal Glial and Choroidal Vascular Pathology in Donors Clinically Diagnosed With Stargardt Disease.Investigative ophthalmology & visual science · 2020Article
- Cone Identification in Choroideremia: Repeatability, Reliability, and Automation Through Use of a Convolutional Neural Network.Translational vision science & technology · 2020Article
- Intraobserver Repeatability and Interobserver Reproducibility of Foveal Cone Density Measurements inTranslational vision science & technology · 2020Article
- Macular dystrophies: clinical and imaging features, molecular genetics and therapeutic options.The British journal of ophthalmology · 2020Review
- Longitudinal Assessment of Remnant Foveal Cone Structure in a Case Series of Early Macular Telangiectasia Type 2.Translational vision science & technology · 2020Article
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10 authors.
Funding
Abstract
Purpose: To assess reliability and repeatability of cone density measurements by using confocal and (nonconfocal) split-detector adaptive optics scanning light ophthalmoscopy (AOSLO) imaging. It will be determined whether cone density values are significantly different between modalities in Stargardt disease (STGD) and retinitis pigmentosa GTPase regulator (RPGR)-associated retinopathy. Methods: Twelve patients with STGD (aged 9-52 years) and eight with RPGR-associated retinopathy (aged 11-31 years) were imaged using both confocal and split-detector AOSLO simultaneously. Four graders manually identified cone locations in each image that were used to calculate local densities. Each imaging modality was evaluated independently. The data set consisted of 1584 assessments of 99 STGD images (each image in two modalities and four graders who graded each image twice) and 928 RPGR assessments of 58 images (each image in two modalities and four graders who graded each image twice). Results: For STGD assessments the reliability for confocal and split-detector AOSLO was 67.9% and 95.9%, respectively, and the repeatability was 71.2% and 97.3%, respectively. The differences in the measured cone density values between modalities were statistically significant for one grader. For RPGR assessments the reliability for confocal and split-detector AOSLO was 22.1% and 88.5%, respectively, and repeatability was 63.2% and 94.5%, respectively. The differences in cone density between modalities were statistically significant for all graders. Conclusions: Split-detector AOSLO greatly improved the reliability and repeatability of cone density measurements in both disorders and will be valuable for natural history studies and clinical trials using AOSLO. However, it appears that these indices may be disease dependent, implying the need for similar investigations in other conditions.
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