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October 2, 2025Investigative Ophthalmology & Visual ScienceOpen Access

Choroidal Vascular Fingerprints From Indocyanine Green Angiography Unveil Chorioretinal Disease State

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Authors

RCRuoyu ChenMissouri University of Science and TechnologyZZZiwei ZhaoUniversity of Southern CaliforniaMYMayinuer YusufuThe University of Melbourne

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Overview

This analysis identifies associations between chorioretinal diseases and vascular features, suggesting potential diagnostic tools.

Key Points

  • The study identifies significant associations between choroidal vascular features and conditions like central serous chorioretinopathy.
  • Segmentation accuracy reached an area under the curve of 0.975 for standard ICGA images, enhancing diagnostic capabilities.
  • Using a human-in-the-loop strategy, a segmentation model was developed to analyze complexities in choroidal vasculature.
  • Analysis explained the variances in conditions such as polypoidal choroidal vasculopathy, highlighting the significance of vascular measurements.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68de8eaeaa6cec72c69ea87dhttps://doi.org/10.1167/iovs.66.13.3
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening2024 · 33 citations
  2. 2Venous overload choroidopathy: A hypothetical framework for central serous chorioretinopathy and allied disorders2021 · 383 citations
  3. 3Choroidal Vascular Abnormalities by Ultra-widefield Indocyanine Green Angiography in Polypoidal Choroidal Vasculopathy2021 · 27 citations
  4. 4Choroidal Vein Alterations in Pachychoroid Disease With Choroidal Vascular Hyperpermeability: Evaluated by Wide-Field Indocyanine Green Angiography2023 · 18 citations