ArticleTranslational vision science & technology2017
Platform-Independent Cirrus and Spectralis Thickness Measurements in Eyes with Diabetic Macular Edema Using Fully Automated Software.
Article in Translational vision science & technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Conversion of Central Subfield Thickness Measurements of Diabetic Macular Edema Across Cirrus and Spectralis Optical Coherence Tomography Instruments.Translational vision science & technology · 2021Article
- Comparison between two multimodal imaging platforms: Nidek Mirante and Heidelberg Spectralis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021Article
- The application of optical coherence tomography angiography in Alzheimer's disease: A systematic review.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Review
- Comparison of the Iowa Reference Algorithm to the Heidelberg Spectralis optical coherence tomography segmentation algorithm.Journal of biophotonics · 2020Article
- Intravitreal dexamethasone implant in naïve and previously treated patients with diabetic macular edema: a retrospective study.International journal of ophthalmology · 2020Article
- Can the dexamethasone intravitreal implant Ozurdex be safely administered in an out-of-operating room setting?Journal of drug assessment · 2020Article
- Diabetic macular edema: Evidence-based management.Indian journal of ophthalmology · 2018Review
- Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks.Biomedical optics express · 2017Article
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Authors and funding
8 authors.
Funding
Abstract
purposeWe determine whether the automated segmentation software, Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), can measure, in a platform-independent manner, retinal thickness on Cirrus and Spectralis spectral domain optical coherence tomography (SD-OCT) images in eyes with diabetic macular edema (DME) under treatment in a clinical trial.
methodsAutomatic segmentation software was used to segment the internal limiting membrane (ILM), inner retinal pigment epithelium (RPE), and Bruch's membrane (BM) in SD-OCT images acquired by Cirrus and Spectralis commercial systems, from the same eye, on the same day during a clinical interventional DME trial. Mean retinal thickness differences were compared across commercial and DOCTRAP platforms using intraclass correlation (ICC) and Bland-Altman plots.
resultsThe mean 1 mm central subfield thickness difference (standard error [SE]) comparing segmentation of Spectralis images with DOCTRAP versus HEYEX was 0.7 (0.3) μm (0.2 pixels). The corresponding values comparing segmentation of Cirrus images with DOCTRAP versus Cirrus software was 2.2 (0.7) μm. The mean 1 mm central subfield thickness difference (SE) comparing segmentation of Cirrus and Spectralis scan pairs with DOCTRAP using BM as the outer retinal boundary was -2.3 (0.9) μm compared to 2.8 (0.9) μm with inner RPE as the outer boundary.
conclusionsDOCTRAP segmentation of Cirrus and Spectralis images produces validated thickness measurements that are very similar to each other, and very similar to the values generated by the corresponding commercial software in eyes with treated DME. TRANSLATIONAL RELEVANCE: This software enables automatic total retinal thickness measurements across two OCT platforms, a process that is impractical to perform manually.
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