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

Chu Yen Huang, Eugene Yu Chuan Kang, Lung Kun Yeh, An Lun Wu, Pei Kang Liu, I. Wen Huang, Joseph Ryu, Laura Liu, Wei Chi Wu, Chi Chun Lai, Kuan Jen Chen, Nan Kai Wang

Research output: Contribution to journalJournal Article peer-review

8 Scopus citations

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.

Original languageEnglish
Pages (from-to)68
Number of pages1
JournalBMC Ophthalmology
Volume21
Issue number1
DOIs
StatePublished - 04 02 2021

Keywords

  • Best corrected visual acuity (BCVA)
  • Bietti crystalline dystrophy (BCD)
  • Choroidal thickness
  • Crystalline
  • Ellipsoid zone disruption
  • Fundus autofluorescence (FAF)
  • Near-infrared reflectance (NIR)
  • Sclerotic vessels
  • Spectral domain-optical coherence tomography (SD-OCT)

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