Innovative utilization of ultra-wide field fundus images and deep learning algorithms for screening high-risk posterior polar cataract.

IF 2.6 3区医学 Q2 OPHTHALMOLOGY

Journal of cataract and refractive surgery Pub Date : 2024-06-01 DOI:10.1097/j.jcrs.0000000000001419

Elsa L C Mai, Bing-Hong Chen, Tai-Yuan Su

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引用次数: 0

Abstract

Purpose: To test a cataract shadow projection theory and validate it by developing a deep learning algorithm that enables automatic and stable posterior polar cataract (PPC) screening using fundus images.

Setting: Department of Ophthalmology, Far Eastern Memorial Hospital, New Taipei, Taiwan.

Design: Retrospective chart review.

Methods: A deep learning algorithm to automatically detect PPC was developed based on the cataract shadow projection theory. Retrospective data (n = 546) with ultra-wide field fundus images were collected, and various model architectures and fields of view were tested for optimization.

Results: The final model achieved 80% overall accuracy, with 88.2% sensitivity and 93.4% specificity in PPC screening on a clinical validation dataset (n = 103).

Conclusions: This study established a significant relationship between PPC and the projected shadow, which may help surgeons to identify potential PPC risks preoperatively and reduce the incidence of posterior capsular rupture during cataract surgery.

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创新利用超宽视野眼底图像和深度学习算法筛查高风险后极性白内障。

目的：后囊破裂（PCR）是白内障手术中出现的一种严重并发症。后极性白内障（PPC）患者是 PCR 的高危人群。尽管散瞳剂有明显的副作用，但它能在裂隙灯检查中提高白内障后方的能见度，有助于识别 PPC。超宽视场（UWF）视网膜成像系统无需借助眼药水，就能在眼底图像中看到白内障在视网膜上的投影（阴影）。PPC 与投影阴影之间的关系仍有待探索。我们假设了一种白内障-阴影-投影理论，然后通过开发一种深度学习算法对其进行了验证，该算法可使用眼底图像自动、稳定地筛查白内障：数据来自远东纪念医院眼科，并获得了医院机构审查委员会的许可：设计：回顾性病历审查数据，包括 UWF 眼底图像：我们根据白内障-阴影-投影理论开发了一种深度学习算法，用于自动检测白内障。我们收集了带有 UWF 眼底图像的回顾性数据（n=546），并对各种模型架构和视场（FOV）进行了优化测试：结果：在临床验证数据集（n=103）上，最终模型的总体准确率达到 80%，在 PPC 筛查中的灵敏度为 88.2%，特异度为 93.4%：这项研究确定了PPC与投影阴影之间的重要关系，使外科医生能够在术前识别潜在的PPC风险，降低白内障手术中后囊破裂的发生率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

$Journal of cataract and refractive surgery$

Journal of cataract and refractive surgery 医学-外科

CiteScore

5.60

自引率

14.30%

发文量

259

审稿时长

8.5 weeks

期刊介绍： The Journal of Cataract & Refractive Surgery (JCRS), a preeminent peer-reviewed monthly ophthalmology publication, is the official journal of the American Society of Cataract and Refractive Surgery (ASCRS) and the European Society of Cataract and Refractive Surgeons (ESCRS). JCRS publishes high quality articles on all aspects of anterior segment surgery. In addition to original clinical studies, the journal features a consultation section, practical techniques, important cases, and reviews as well as basic science articles.