An integrative predictive model for orthokeratology lens decentration based on diverse metrics
The Logistic Regression model successfully predicted the risk of Ortho-K lens decentration using key corneal morphological metrics and age. This model provides valuable support for clinicians in optimizing Ortho-K lens fitting strategies, potentially reducing the risk of adverse outcomes and improving the quality of vision for patients. Further validation in clinical settings is recommended.
Authors
- Wenrui Lu (ORCID: https://orcid.org/0000-0001-6328-714X)
- Yingwang Ye
- Kunhong Xiao (ORCID: https://orcid.org/0009-0008-7805-7193)
- Jiawen Lin (ORCID: https://orcid.org/0000-0003-2950-1776)
- Xiangjie Lin (ORCID: https://orcid.org/0000-0003-3549-1359)
- Jianhe Wei (ORCID: https://orcid.org/0000-0002-9168-5812)
- Yuan Yao (ORCID: https://orcid.org/0000-0002-2705-6245)
- Li Li (ORCID: https://orcid.org/0000-0003-4818-8770)
- Qingyuan Cai (ORCID: https://orcid.org/0009-0006-8178-7598)
- Shenghua Lin
- Xuemei Zhang (ORCID: https://orcid.org/0000-0003-3970-7110)
Institutions
- Fujian Medical University (CN)
- Fujian Provincial Hospital (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-10-11
- DOI
- https://doi.org/10.3389/fmed.2024.1490525
- Citations
- 8
- Primary Topic
- Ophthalmology and Visual Impairment Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.09
Funders
- Fujian Medical University