Scholarlink

<p>Primary angle closure glaucoma (PACG) is a major cause of irreversible blindness, characterized by shallow anterior chambers and narrow angles. In our study, we used anterior segment photographs from a modified mobile camera to develop algorithms for identifying narrow anterior chamber angles (NACA). We calculated eight biological parameters after preprocessing the images, segmenting the corneal and iris light bands, and modeling the central anterior chamber. In the training dataset, the accuracy of NACA identification using these parameters ranged from 0.68 to 0.85, with an AUC of 0.76 to 0.90. The internal test dataset’s accuracy ranged from 0.65 to 0.85, with sensitivity between 0.40 and 0.95 and specificity between 0.61 and 1.00. An ensemble model achieved a sensitivity of 0.90 and a specificity of 0.85 on the internal test dataset, but its performance declined on external datasets. Despite generalization challenges, portable slit lamps equipped with advanced algorithms show promise for NACA screening.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Intelligent screening of narrow anterior chamber angle based on portable slit lamp

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月17日

查看全文
  • Xingru He,
  • Guangzheng Dai,
  • Huixin Che,
  • Chenguang Zhang,
  • Hairu Yan,
  • Yu Dang,
  • Haifeng Dong

摘要

Primary angle closure glaucoma (PACG) is a major cause of irreversible blindness, characterized by shallow anterior chambers and narrow angles. In our study, we used anterior segment photographs from a modified mobile camera to develop algorithms for identifying narrow anterior chamber angles (NACA). We calculated eight biological parameters after preprocessing the images, segmenting the corneal and iris light bands, and modeling the central anterior chamber. In the training dataset, the accuracy of NACA identification using these parameters ranged from 0.68 to 0.85, with an AUC of 0.76 to 0.90. The internal test dataset’s accuracy ranged from 0.65 to 0.85, with sensitivity between 0.40 and 0.95 and specificity between 0.61 and 1.00. An ensemble model achieved a sensitivity of 0.90 and a specificity of 0.85 on the internal test dataset, but its performance declined on external datasets. Despite generalization challenges, portable slit lamps equipped with advanced algorithms show promise for NACA screening.