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An objective structural and functional reference standard in glaucoma

delete2021-01-18
delete19
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OA
AI
E
Eduardo B. Mariottoni
A
Alessandro A. Jammal
S
Samuel I. Berchuck
L
Leonardo Shigueoka
I
Ivan Maynart Tavares
F
Felipe A. Medeiros *
DOI:10.1038/s41598-021-80993-3delete
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摘要

摘要

En 中文
The current lack of consensus for diagnosing glaucoma makes it difficult to develop diagnostic tests derived from deep learning (DL) algorithms. In the present study, we propose an objective definition of glaucomatous optic neuropathy (GON) using clearly defined parameters from optical coherence tomography and standard automated perimetry. We then use the proposed objective definition as reference standard to develop a DL algorithm to detect GON on fundus photos. A DL algorithm was trained to detect GON on fundus photos, using the proposed objective definition as reference standard. The performance was evaluated on an independent test sample with sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and likelihood ratios (LR). The test sample had 2118 fundus photos from 585 eyes of 405 individuals. The AUC to discriminate between GON and normal was 0.92 with sensitivity of 77% at 95% specificity. LRs indicated that the DL algorithm provided large changes in the post-test probability of disease for the majority of eyes. A DL algorithm to evaluate fundus photos had high performance to discriminate GON from normal. The newly proposed objective definition of GON used as reference standard may increase the comparability of diagnostic studies of glaucoma across devices and populations.
Keyword:
OPERATING CHARACTERISTIC CURVES
OPTIC DISK
LIKELIHOOD RATIOS
DIAGNOSTIC-TESTS
AGREEMENT
NEUROPATHY
AI总结

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对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Scientific Reports 封面图
Scientific Reports
IF:
3.9
论文数:
28.0W
被引数:
83.5W

机构

U
universidade federal de sao paulo (unifesp)
学者数:
2.3W
论文数: 1.3W
被引数: 12
D
Duke University
学者数:
6.3W
论文数: 5.7W
被引数: 6.5W
引用论文

引用论文

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