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Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters.
Huang, Chu-Yen; Kang, Eugene Yu-Chuan; Yeh, Lung-Kun; Wu, An-Lun; Liu, Pei-Kang; Huang, I-Wen; Ryu, Joseph; Liu, Laura; Wu, Wei-Chi; Lai, Chi-Chun; Chen, Kuan-Jen; Wang, Nan-Kai.
Affiliation
  • Huang CY; Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan.
  • Kang EY; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Yeh LK; Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan.
  • Wu AL; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Liu PK; Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan.
  • Huang IW; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Ryu J; Department of Ophthalmology, Mackay Memorial Hospital, Hsinchu, Taiwan.
  • Liu L; Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, Columbia University, New York, USA.
  • Wu WC; Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
  • Lai CC; Department of Ophthalmology, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Chen KJ; Institute of Biochemical Science, National Sun Yat-Sen University, Kaohsiung, Taiwan.
  • Wang NK; Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, Columbia University, New York, USA.
BMC Ophthalmol ; 21(1): 68, 2021 Feb 04.
Article in En | MEDLINE | ID: mdl-33541298
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, Optical Coherence Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: BMC Ophthalmol Journal subject: OFTALMOLOGIA Year: 2021 Document type: Article Affiliation country: Taiwan Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, Optical Coherence Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: BMC Ophthalmol Journal subject: OFTALMOLOGIA Year: 2021 Document type: Article Affiliation country: Taiwan Country of publication: United kingdom