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Dataset Information

Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters.


ABSTRACT:

Background

To analyze multiple imaging modalities in patients with Bietti crystalline dystrophy (BCD) and to investigate which factors from these modalities are associated with best corrected visual acuity (BCVA).

Methods

In this retrospective study, 40 eyes from 22 patients with BCD were included and were separated into group 1 (BCVA ≤20/200) and group 2 (BCVA > 20/200). Data including BCVA and characteristic findings from near-infrared reflectance (NIR) imaging, fundus autofluorescence (FAF), and spectral domain-optic coherence tomography (SD-OCT) were analyzed and compared. The outcome measures of multimodal imaging were evaluated for correlation with BCVA.

Results

NIR is a good diagnostic tool for detecting either crystalline or sclerotic vessels in BCD. Patients

SUBMITTER: Huang CY 

PROVIDER: S-EPMC7860191 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature