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Dataset Information

Peripapillary Choroidal Vascularity Index for Differentiating Papilledema from Pseudopapilledema: A Deep Learning-Based Approach.


ABSTRACT:

Purpose

To compare the peripapillary choroidal vascularity index (PPCVI) in eyes with papilledema secondary to idiopathic intracranial hypertension (IIH) and pseudopapilledema due to optic disc drusen (ODD) using a novel deep learning algorithm.

Design

A retrospective observational cohort study.

Subjects

The study included 30 eyes of 15 patients with papilledema secondary to IIH, 30 eyes of 15 patients with ODD, and 78 eyes of 39 age- and sex-matched healthy controls. All cases of IIH and ODD were confirmed with lumbar puncture and B-scan ultrasonography, respectively.

Methods

OCT was performed using a 3.4 mm diameter 360° peripapillary circle scan. Choroidal segmentation was automatically performed with a deep learning ResUNet model and a volumetric smoothing

SUBMITTER: Valsecchi N 

PROVIDER: S-EPMC12803921 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature