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Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860191/ https://www.ncbi.nlm.nih.gov/pubmed/33541298 http://dx.doi.org/10.1186/s12886-021-01811-y |
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author | 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 |
author_facet | 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 |
author_sort | Huang, Chu-Yen |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12886-021-01811-y. |
format | Online Article Text |
id | pubmed-7860191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78601912021-02-05 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 BMC Ophthalmol Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12886-021-01811-y. BioMed Central 2021-02-04 /pmc/articles/PMC7860191/ /pubmed/33541298 http://dx.doi.org/10.1186/s12886-021-01811-y Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article 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 Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters |
title | Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters |
title_full | Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters |
title_fullStr | Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters |
title_full_unstemmed | Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters |
title_short | Predicting visual acuity in Bietti crystalline dystrophy: evaluation of image parameters |
title_sort | predicting visual acuity in bietti crystalline dystrophy: evaluation of image parameters |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860191/ https://www.ncbi.nlm.nih.gov/pubmed/33541298 http://dx.doi.org/10.1186/s12886-021-01811-y |
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