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作 者:闫刚 刘梓轩 曲利军[1] Yan Gang;Liu Zixuan;Qu Lijun(Department of Ophthalmology,the Second Afiliated Hospital of Harbin Medical University,Harbin 150086,China)
机构地区:[1]哈尔滨医科大学附属第二医院眼科,150086
出 处:《中华眼科医学杂志(电子版)》2025年第1期1-5,共5页Chinese Journal of Ophthalmologic Medicine(Electronic Edition)
基 金:北京医学奖励基金项目(YXJL-2021-0815-0547)黑龙江省自然科学基金项目(GBB1211035)。
摘 要:1854年,圆锥角膜(keratoconus,KC)被定义后,在描述其严重程度及发展进程方面,至今有数位学者提出了多种分期、分级及分类方法。1947年,Amsler首次提出KC分级。此后,Krumiech基于Amsler分级提出Amsler-Krumiech分级,而Alio等在Amsler-Krumiech分级的基础上又再次做出修正并提出新分级。21世纪以来,眼科检查设备趋于完善,又有学者相继提出了圆锥角膜严重程度评分系统、光学相干断层扫描结构分期、Belin ABCD分期、生物力学“E”分期等KC分期、分级及分类方法。近年来,人工智能的广泛应用又催生出用于描述和追踪KC严重程度的技术,虽然在临床实践方面尚存在局限性但其发展前景可观。Since keratoconus(KC)was first defined in 1854,several scholars have proposed various staging,grading,and classification methods to describe its severity and progression.In 1947,Amsler introduced the first KC grading system.Subsequently,Krumiech developed the Amsler-Krumiech grading system based on Amsler's work,and Alio et al.further refined and proposed new classifications based on the Amsler-Krumiech framework.Since the 21st century,with advancements in ophthalmic diagnostic technologies,additional systems have emerged,including the keratoconus severity scoring system,optical coherence tomography(OCT)-based structural staging,the Belin ABCD progression display,and biomechanical"E"staging.In recent years,the widespread application of artificial intelligence has spurred novel technologies for characterizing and tracking KC severity,which showing promising potential for clinical applications despite of current clinical limitations.
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