临床与病理杂志2024，Vol.44Issue(5)：752-758,7.DOI:10.11817/j.issn.2095-6959.2024.240046
早期圆锥角膜诊断技术的研究进展
Advances in diagnostic techniques for early keratoconus
摘要
Abstract
Keratoconus is a leading cause of corneal blindness worldwide.Early diagnosis is challenging due to the lack of typical symptoms,often resulting in delayed treatment and severe disease progression necessitating corneal transplantation.The scarcity of corneal donors in China further complicates patient outcomes.Recent advancements in ophthalmic devices,such as corneal topography,corneal biomechanics,optical coherence tomography(OCT)of the anterior segment,and corneal confocal microscopy(CCM),along with artificial intelligence(AI)technologies,have significantly improved the efficiency of early keratoconus diagnosis.These diagnostic tools provide comprehensive corneal parameters including morphology,biomechanics,corneal thickness,and cell structures.AI can integrate these parameters to assist in the efficient diagnosis of early keratoconus,demonstrating high clinical utility.Early diagnostic techniques for keratoconus offer crucial insights for timely intervention and treatment,aiding in the preservation of patient vision.关键词
圆锥角膜/角膜扩张/人工智能Key words
keratoconus/corneal ectasia/artificial intelligence引用本文复制引用
徐未清,陈琦..早期圆锥角膜诊断技术的研究进展[J].临床与病理杂志,2024,44(5):752-758,7.基金项目
广西眼科疾病临床医学研究中心项目(桂科AD19245193).This work was supported by Guangxi Ophthalmic Disease Clinical Medical Research Center,China(Guike AD19245193). （桂科AD19245193）
