ArticlePloS one2018
Optical coherence tomography automated layer segmentation of macula after retinal detachment repair.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Trial
- Retinal Morphology in Successfully Treated Macula-Off Retinal Detachment Based on Semiautomated Layer Quantification of High-Resolution Optical Coherence Tomography.Translational vision science & technology · 2025Observational
- Article
- Rigid alignment method for secondary analyses of optical coherence tomography volumes.Biomedical optics express · 2024Article
- Visual deterioration in patients with photoreceptor loss after retinal reattachment surgery.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022Article
- Longitudinal evaluation of retinal thickness and OCTA parameters before and following silicone oil removal in eyes with macula-on and macula-off retinal detachments.International ophthalmology · 2022Article
- Investigation of Changes in Retinal Detachment-Related Brain Region Activities and Functions Using the Percent Amplitude of Fluctuation Method: A Resting-State Functional Magnetic Resonance Imaging Study.Neuropsychiatric disease and treatment · 2021Article
- Association between retinal vessel density and postoperative time after primary repair of rhegmatogenous retinal detachment.PloS one · 2021Article
- Comparison of fundus changes following silicone oil and sterilized air tamponade for macular-on retinal detachment patients.BMC ophthalmology · 2020Article
- Segmented retinal layer analysis of chiasmal compressive optic neuropathy in pituitary adenoma patients.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020Observational
- Retinal Microvasculature Changes After Repair of Macula-off Retinal Detachment Assessed with Optical Coherence Tomography Angiography.Clinical ophthalmology (Auckland, N.Z.) · 2020Article
- Parallel deep neural networks for endoscopic OCT image segmentation.Biomedical optics express · 2019Article
- Macular microstructure and visual acuity after macula-off retinal detachment repair by 23-gauge vitrectomy plus silicone endotamponade.Clinical ophthalmology (Auckland, N.Z.) · 2018Article
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2 authors.
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Abstract
purposeTo investigate the thickness of retinal layers and association with final visual acuity using spectral-domain optical coherence tomography (SD-OCT) in macular area of macula-off rhegmatogenous retinal detachment (RRD) patients after a successful macular re-attachment.
methodsIn retrospective study, a total 24 eyes with macula-off RRD were enrolled. All patients underwent vitrectomy to repair RRD. Outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor layer (PR), retinal pigment epithelium (RPE) thicknesses were measured by the Spectralis (Heidelberg Engineering, Heidelberg, Germany) SD-OCT with automated segmentation software. The relationship between the thicknesses of each retinal layer and postoperative logarithm of the minimum angle of resolution scale (LogMAR) visual acuity was analyzed.
resultsOPL and RPE thicknesses were not significantly different between the retinal detachment eyes and fellow eyes (P = 0.839, 0.999, respectively). The ONL and photoreceptor thickness were significantly thinner in the retinal detachment eyes (P <0.001 and 0.001, respectively). In the univariate regression analysis, preoperative best corrected visual acuity (BCVA), ONL thickness and photoreceptor thickness showed association with the postoperative BCVA (P = 0.003, <0.001 and 0.024, respectively). In final multiple linear regression model, ONL thickness was the only variable significantly associated with postoperative BCVA (P = 0.044).
conclusionsSegmented ONL and photoreceptor thickness of retinal detachment eyes were significantly thinner than fellow eyes. Segmental analysis of the retinal layer in macular region may provide valuable information for evaluation RRD. And ONL thickness can be used as a potential biomarker to predict visual outcome after RRD repair.
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