ArticleJapanese journal of ophthalmology2018
Semi-automated software to measure luminal and stromal areas of choroid in optical coherence tomographic images.
Article in Japanese journal of ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Choroidal binarization analysis: clinical application.International ophthalmology · 2019Pooled it
- Choroidal imaging biomarkers as predictors of recurrent central serous chorioretinopathy: A multicenter retrospective study - MICRoN report number five.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- A deep learning-based pachychoroid index based on choroidal image patterns of central serous chorioretinopathy using enhanced-depth-imaging optical coherence tomography.Japanese journal of ophthalmology · 2026Observational
- Sex differences in choroidal vessels using novel wide-field choroidal en-face images from optical coherence tomography.Scientific reports · 2024Article
- Choroidal Vessel and Stromal Volumetric Analysis After Photodynamic Therapy or Focal Laser for Central Serous Chorioretinopathy.Translational vision science & technology · 2023Article
- Changes in choriocapillaris structure occurring in idiopathic macular hole before and after vitrectomy.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023Observational
- Relationship Between Scleral Thickness and Choroidal Structure in Central Serous Chorioretinopathy.Investigative ophthalmology & visual science · 2023Article
- Mitigating the effects of choroidal hyper- and hypo-transmission defects on choroidal vascularity index assessments using optical coherence tomography.Quantitative imaging in medicine and surgery · 2022Article
- Alterations of choroidal circulation and vascular morphology in a patient with chronic myeloid leukemia before and after chemotherapy.BMC ophthalmology · 2022Article
- Relationship Between Changes in the Choroidal Structure and Blood Flow of the Macula After Trabeculectomy.Translational vision science & technology · 2021Article
- Age-Related Changes in Choroidal Thickness and the Volume of Vessels and Stroma Using Swept-Source OCT and Fully Automated Algorithms.Ophthalmology. Retina · 2020Observational
- Relationship between choroidal structure and duration of diabetes.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2019Observational
- Kago-Eye2 software for semi-automated segmentation of subfoveal choroid of optical coherence tomographic images.Japanese journal of ophthalmology · 2019Article
- Choroidal Circulatory and Vascular Morphological Changes in Acute Macular Neuroretinopathy After Infection With Severe Acute Respiratory Syndrome Coronavirus 2: A Case Report With Literature Review.In vivo (Athens, Greece)Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo determine the capabilities of "EyeGround" software in measuring the choroidal cross sectional areas in optical coherence tomographic (OCT) images. STUDY
designCross sectional, prospective study.
methodsThe cross-sectional area of the subfoveal choroid within a 1500 µm diameter circle centered on the fovea was measured both with and without using the EyeGround software in the OCT images. The differences between the evaluation times and the results of the measurements were compared. The inter-rater, intra-rater, inter-method agreements were determined.
resultsFifty-one eyes of 51 healthy subjects were studied: 24 men and 27 women with an average age of 35.0 ± 8.8 years. The time for analyzing a single image was significantly shorter with the software at 3.2±1.1 min than without the software at 12.1±5.1 min (P <0.001). The inter-method correlation efficient for the measurements of the whole choroid was high [0.989, 95% CI (0.981-0.994)]. With the software, the inter-rater correlation efficient was significantly high [0.997, 95% CI (0.995-0.999)], and the intra-rater correlation efficient was also significantly high [0.999, 95% CI (0.999-1.0)].
conclusionThe EyeGround software can measure the choroidal area in the OCT cross sectional images with good reproducibility and in a significantly shorter times. It can be a valuable tool for analyzing the choroid.
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