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New research · Ophthalmology
Investigative ophthalmology & visual science · 5d
AI / informaticsInvestigative ophthalmology & visual science · 2025

Radiomics Analysis Based on Optical Coherence Tomography to Prognose the Efficacy of Anti-VEGF Therapy of Retinal Vein Occlusion-Related Macular Edema.

Biying Chen, Jianing Qiu, Yongan Meng … Jing Luo
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OphthalmologyAI / informatics

Machine learning using optical coherence tomography images predicts anti-VEGF response in macular edema

Radiomics Analysis Based on Optical Coherence Tomography to Prognose the Efficacy of Anti-VEGF Therapy of Retinal Vein Occlusion-Related Macular Edema.

Biying Chen … Jing Luo
Investigative ophthalmology & visual science · 2025
Purpose

The aim of this study was to develop machine learning approaches to evaluate the post-therapeutic effect of anti-VEGF treatment based on optical coherence tomography (optical coherence tomography) images.

Methods

A total of 152 patients diagnosed with RVO-ME who received at least one intravitreal injection of anti-VEGF were included in this study, as well as 81 patients as the external validation set.

n = 152 patients
Results

in outside testing, correctly distinguished treatment responders from non-responders most of the time

BPNN (external validat
0.804AUC
SVM (external validati
0.802AUC
More results

In the support vector machine (support vector machine) model, the AUC of the 3 sets were 0.916, 0.882, and 0.802.

The optical coherence tomography-omics scores indicated a high overall net benefit, as determined by decision curve analysis.

“
Conclusion · 1 of 2

The machine learning models based on optical coherence tomography technology developed here demonstrated a promising ability to prognose anti-VEGF therapeutic responses for RVO-ME.

Conclusion · 2 of 2

The utilization of machine learning provides a new promising approach to assessing radiomic markers in research related to RVO-ME, having a good prospect for the application of the using of precision medicine in ophthalmology.

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