Quantifying changes on optical coherence tomography in eyes receiving treatment for neovascular age-related macular degeneration

Purpose
Application of artificial intelligence (AI) to macular optical coherence tomography (OCT) scans to segment and quantify volumetric change of anatomical and pathological features during intravitreal treatment for neovascular age-related macular degeneration (AMD).
Design
Retrospective analysis of OCT images from the Eye Hospital AMD Database.
Participants
2115 eyes from 1883 patients that started anti-vascular endothelial growth factor (anti-VEGF) treatment between 1st June 2012 and 30th June 2017.
Methods
The Eye Hospital neovascular AMD database was queried for first and second eyes that received anti-VEGF treatment and had an OCT scan at baseline and at 12 months. Follow-up scans were input into the AI system to derive volumetric outputs for the following variables: intraretinal fluid (IRF), subretinal fluid (SRF), pigment epithelial detachment (PED), subretinal hyperreflective material (SHRM), hyperreflective foci (HRF), neurosensory retina (NSR) and retinal pigment epitheliu...,
The dataset comprises anonymised metadata and OCT segmentation data of patients undergoing treatment for wet AMD.
, , # Data from: Quantifying changes on optical coherence tomography in eyes receiving treatment for neovascular age-related macular degeneration

## INTRODUCTION

This CSV dataset (AMD_longitudinal_MEH_v1.csv) is associated with the paper Moraes et al. Quantifying changes on optical coherence tomography in eyes receiving treatment for neovascular age-related macular degeneration. Ophthalmology Science. (2024). Available at: [https://doi.org/10.1016/j.xops.2024.100570](https://doi.org/10.1016/j.xops.2024.100570)

The dataset comprises anonymised metadata and OCT segmentation data of patients undergoing treatment for wet AMD.

## DATA FIELDS

ID Anonymous ID - an integer between 1 and 169715

DaysSinceBaseline Replaces visit dates of patient. Baseline is denoted as '0' for the day the first eye was treated with an injection

Eye Left or Right

FirstTreatedEye The eye that first received an injection (Left or Right)

Gender Male or female

Neurosensory Number of voxels segmented a...