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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 in group 1 tended to have a thinner choroid (P?=?0.047) with ellipsoid zone (EZ) disruption (P?=?0.011). Calculation of the area under the curve indicated that EZ disruption detected on SD-OCT could be a good predictor of legal blindness in BCD.Conclusion
For the diagnosis of BCD, NIR could be a good diagnostic tool. Of the studied imaging modalities, we found that EZ disruption at the fovea were strongly associated with legal blindness, which could be easily assessed by SD-OCT.
SUBMITTER: Huang CY
PROVIDER: S-EPMC7860191 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Huang Chu-Yen CY Kang Eugene Yu-Chuan EY Yeh Lung-Kun LK Wu An-Lun AL Liu Pei-Kang PK Huang I-Wen IW Ryu Joseph J Liu Laura L Wu Wei-Chi WC Lai Chi-Chun CC Chen Kuan-Jen KJ Wang Nan-Kai NK
BMC ophthalmology 20210204 1
<h4>Background</h4>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).<h4>Methods</h4>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 autofluor ...[more]