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作 者:安俊烨 袁萍[1] 张鋆婷 王韬 易昀敏[1] An Junye;Yuan Ping;Zhang Junting;Wang Tao;Yi Yunmin(The Affiliated Eye Hospital,Jiangxi Medical College,Nanchang University,Nanchang 330006,Jiangxi,China)
出 处:《国际眼科纵览》2024年第3期194-199,共6页International Review of Ophthalmology
摘 要:晶状体核密度不仅能客观反映核性白内障患者的晶状体浑浊程度,也能间接评估白内障超声乳化手术难度及术后视力恢复情况。目前国际通用的LOCS Ⅲ分级法及我国的Emery分级法均是通过对晶状体核的浑浊程度、颜色进行主观分级,属于定性分析,有一定的不可重复性。近年来,客观的晶状体核密度测量方法如Scheimpflug技术及OCT技术等不断出现,不仅可提高测量的准确性和可重复性,还可结合机器深度学习进行自动化预测白内障分级,有利于白内障患者的精细化术前评估。Lens nuclear opacities can objectively reflect the degree of lens opacity in patients with nuclear cataract,and can also indirectly evaluate the difficulty of phacoemulsification and postoperative visual acuity recovery.At present,the international LOCS Ⅲ grading method and the Emery grading method in China are subjectively graded by the degree of turbidity and color of the lens nucleus,which are qualitative analysis and have certain unrepeatability.Recently,objective lens nucleus opacities measurement methods such as Scheimpflug technology and optical correlation tomography(OCT)have been emerging,which not only can improve the high accuracy and repeatability,but also can be combined with machine deep learning to automatically predict cataract grading,which is conducive to the refined preoperative evaluation of cataract patients.
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