Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data.

ABSTRACT:

Purpose

To assess whether we can forecast future rapid visual field (VF) worsening using deep learning models (DLMs) trained on early VF, OCT, and clinical data.

Design

A retrospective cohort study.

Subjects

In total, 4536 eyes from 2962 patients. Overall, 263 (5.80%) eyes underwent rapid VF worsening (mean deviation slope less than -1 dB/year across all VFs).

Methods

We included eyes that met the following criteria: (1) followed for glaucoma or suspect status; (2) had at least 5 longitudinal reliable VFs (VF₁, VF₂, VF₃, VF₄, and VF₅); and (3) had 1 reliable baseline OCT scan (OCT₁) and 1 set of baseline clinical measurements (clinical₁) at the time of VF₁. We designed a DLM

SUBMITTER: Herbert P 

PROVIDER: S-EPMC10509314 | biostudies-literature | 2023 Sep-Oct

REPOSITORIES: biostudies-literature