Age and gender-related changes in choroidal thickness: Insights from deep learning analysis of swept-source OCT images
This research highlights age-related changes in choroidal thickness, with a particular emphasis on gender differences. The findings suggest that females experience earlier thinning, potentially attributable to hormonal changes. Additionally, the study validates the efficiency of deep learning algorithms in measuring choroidal thickness, thereby enhancing the reliability of clinical practice.
Authors
- Guangfeng Liu (ORCID: https://orcid.org/0000-0001-5029-3794)
- Guotong Xie
- Guanzheng Wang (ORCID: https://orcid.org/0000-0003-4425-8137)
- Chengxia Zhang
- Dan Song (ORCID: https://orcid.org/0009-0007-8699-346X)
- Bin Lv (ORCID: https://orcid.org/0000-0002-8182-9077)
- Yuan Ni
Institutions
- Peking University (CN)
- Peking University International Hospital (CN)
- China National Petroleum Corporation (China) (CN)
Publication Details
- Journal
- Photodiagnosis and Photodynamic Therapy
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1016/j.pdpdt.2025.104511
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Science, Technology and Innovation Commission of Shenzhen Municipality