Diagnosability of Keratoconus Using Deep Learning With Placido Disk-Based Corneal Topography.
Diagnosability of Keratoconus Using Deep Learning With Placido Disk-Based Corneal Topography.
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DOI：
10.3389/fmed.2021.724902
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发表时间：
2021
影响因子：
3.9
通讯作者：
Miyata K
中科院分区：
文献类型：
--
作者：
Kamiya K;Ayatsuka Y;Kato Y;Shoji N;Mori Y;Miyata K
目的：Placido盘状角膜地形图仍然是最常用的在日常实践中。本研究旨在利用Placido盘状角膜地形图的彩色编码图进行深度学习，以评估圆锥角膜的可诊断性。方法：采用Placido角膜地形图仪（TMS-4TM, Tomey）测量高质量的角膜地形图，回顾性检查179只角膜锥形眼（Amsler-Krumeich分级1级（54只）、2级（52只）、3级（23只）、4级（50只））和170只年龄匹配的健康眼。使用颜色编码图的深度学习，我们评估了圆锥角膜筛查和分期测试的诊断准确性、敏感性和特异性。结果：深度学习彩色编码图识别圆锥角膜与正常眼的准确率为0.966（灵敏度0.988，特异性0.944）。在对阶段进行分类时，准确率为0.785（1级为0.911,2级为0.868,3级为0.920,4级为0.905）。0级（正常）至4级试验曲线下面积分别为0.997、0.955、0.899、0.888、0.943。结论：利用常规角膜地形图的彩色编码图进行深度学习，可以有效地区分圆锥角膜与正常眼，并对疾病进行分级，这将有助于临床提高圆锥角膜的诊断和分期能力。
Purpose: Placido disk-based corneal topography is still most commonly used in daily practice. This study was aimed to evaluate the diagnosability of keratoconus using deep learning of a color-coded map with Placido disk-based corneal topography. Methods: We retrospectively examined 179 keratoconic eyes [Grade 1 (54 eyes), 2 (52 eyes), 3 (23 eyes), and 4 (50 eyes), according to the Amsler-Krumeich classification], and 170 age-matched healthy eyes, with good quality images of corneal topography measured with a Placido disk corneal topographer (TMS-4TM, Tomey). Using deep learning of a color-coded map, we evaluated the diagnostic accuracy, sensitivity, and specificity, for keratoconus screening and staging tests, in these eyes. Results: Deep learning of color-coded maps exhibited an accuracy of 0.966 (sensitivity 0.988, specificity 0.944) in discriminating keratoconus from normal eyes. It also exhibited an accuracy of 0.785 (0.911 for Grade 1, 0.868 for Grade 2, 0.920 for Grade 3, and 0.905 for Grade 4) in classifying the stage. The area under the curve value was 0.997, 0.955, 0.899, 0.888, and 0.943 as Grade 0 (normal) to 4 grading tests, respectively. Conclusions: Deep learning using color-coded maps with conventional corneal topography effectively distinguishes between keratoconus and normal eyes and classifies the grade of the disease, indicating that this will become an aid for enhancing the diagnosis and staging ability of keratoconus in a clinical setting.
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发表时间：
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