ArticleJournal of biophotonics2020
Comparison of the Iowa Reference Algorithm to the Heidelberg Spectralis optical coherence tomography segmentation algorithm.
Article in Journal of biophotonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Retinal imaging and tissue analysis for frontotemporal degeneration: recent advances and challenges for biomarker development.Journal of neurology, neurosurgery, and psychiatry · 2025Review
- Choroidal evaluation of FTLD-Tau and biomarker-determined Alzheimer's disease.Scientific reports · 2025Article
- Progressive inner retinal neurodegeneration in non-proliferative macular telangiectasia type 2.The British journal of ophthalmology · 2025Article
- ADVANCES IN PHOTORECEPTOR AND RETINAL PIGMENT EPITHELIUM QUANTIFICATIONS IN INTERMEDIATE AGE-RELATED MACULAR DEGENERATION: High-Res Versus Standard SPECTRALIS Optical Coherence Tomography.Retina (Philadelphia, Pa.) · 2024Article
- Retinal photoreceptor layer thickness has disease specificity and distinguishes predicted FTLD-Tau from biomarker-determined Alzheimer's disease.Neurobiology of aging · 2023Article
- Retina tissue validation of optical coherence tomography determined outer nuclear layer loss in FTLD-tau.Acta neuropathologica communications · 2021Article
- OCT Changes Observed during the Progression of Early Age-Related Macular Degeneration.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
For spectral-domain optical coherence tomography (SD-OCT) studies of neurodegeneration, it is important to understand how segmentation algorithms differ in retinal layer thickness measurements, segmentation error locations and the impact of manual correction. Using macular SD-OCT images of frontotemporal degeneration patients and controls, we compare the individual and aggregate retinal layer thickness measurements provided by two commonly used algorithms, the Iowa Reference Algorithm and Heidelberg Spectralis, with manual correction of significant segmentation errors. We demonstrate small differences of most retinal layer thickness measurements between these algorithms. Outer sectors of the Early Treatment Diabetic Retinopathy Study grid require a greater percent of eyes to be corrected than inner sectors of the retinal nerve fiber layer (RNFL). Manual corrections affect thickness measurements mildly, resulting in at most a 5% change in RNFL thickness. Our findings can inform researchers how to best use different segmentation algorithms when comparing retinal layer thicknesses.
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Registered trials
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