Artificial Intelligence for the Detection of Glaucoma with SD-OCT Images: a Systematic Review and Meta-analysis

Overview

Journal Int J Ophthalmol

Specialty Ophthalmology

Date 2024 May 9

PMID 38721504

Authors

Nan-Nan Shi

Jing Li

Guang-Hui Liu

Ming-Fang Cao

Affiliations

Soon will be listed here.

Abstract

Aim: To quantify the performance of artificial intelligence (AI) in detecting glaucoma with spectral-domain optical coherence tomography (SD-OCT) images.

Methods: Electronic databases including PubMed, Embase, Scopus, ScienceDirect, ProQuest and Cochrane Library were searched before May 31, 2023 which adopted AI for glaucoma detection with SD-OCT images. All pieces of the literature were screened and extracted by two investigators. Meta-analysis, Meta-regression, subgroup, and publication of bias were conducted by Stata16.0. The risk of bias assessment was performed in Revman5.4 using the QUADAS-2 tool.

Results: Twenty studies and 51 models were selected for systematic review and Meta-analysis. The pooled sensitivity and specificity were 0.91 (95%CI: 0.86-0.94, =94.67%), 0.90 (95%CI: 0.87-0.92, =89.24%). The pooled positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 8.79 (95%CI: 6.93-11.15, =89.31%) and 0.11 (95%CI: 0.07-0.16, =95.25%). The pooled diagnostic odds ratio (DOR) and area under curve (AUC) were 83.58 (95%CI: 47.15-148.15, =100%) and 0.95 (95%CI: 0.93-0.97). There was no threshold effect (Spearman correlation coefficient=0.22, >0.05).

Conclusion: There is a high accuracy for the detection of glaucoma with AI with SD-OCT images. The application of AI-based algorithms allows together with "doctor+artificial intelligence" to improve the diagnosis of glaucoma.

Citing Articles

Deep Learning in Glaucoma Detection and Progression Prediction: A Systematic Review and Meta-Analysis.

Ling X, Chen H, Yeh P, Cheng Y, Huang C, Shen S Biomedicines. 2025; 13(2).

PMID: 40002833 PMC: 11852503. DOI: 10.3390/biomedicines13020420.

Novel Approaches for the Early Detection of Glaucoma Using Artificial Intelligence.

Zeppieri M, Gardini L, Culiersi C, Fontana L, Musa M, DEsposito F Life (Basel). 2024; 14(11).

PMID: 39598184 PMC: 11595922. DOI: 10.3390/life14111386.

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