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OCTA-Based Identification of Different Vascular Patterns in Stargardt Disease
PURPOSE: The aim of the present study was to analyze quantitative optical coherence tomography (OCT) and OCT angiography (OCTA) parameters to identify clinically relevant cutoff values able to detect clinically different Stargardt's disease (STGD) subgroups. METHODS: Consecutive STGD patients w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900965/ https://www.ncbi.nlm.nih.gov/pubmed/31832280 http://dx.doi.org/10.1167/tvst.8.6.26 |
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author | Arrigo, Alessandro Romano, Francesco Aragona, Emanuela di Nunzio, Carlo Sperti, Andrea Bandello, Francesco Battaglia Parodi, Maurizio |
author_facet | Arrigo, Alessandro Romano, Francesco Aragona, Emanuela di Nunzio, Carlo Sperti, Andrea Bandello, Francesco Battaglia Parodi, Maurizio |
author_sort | Arrigo, Alessandro |
collection | PubMed |
description | PURPOSE: The aim of the present study was to analyze quantitative optical coherence tomography (OCT) and OCT angiography (OCTA) parameters to identify clinically relevant cutoff values able to detect clinically different Stargardt's disease (STGD) subgroups. METHODS: Consecutive STGD patients were recruited and underwent complete ophthalmologic examination, including multimodal imaging. Several quantitative parameters were extracted both from structural OCT and OCTA images and were statistically analyzed. A post hoc analysis was performed to identify a quantitative cutoff able to distinguish two clinically different STGD subgroups. Main outcome measures were total retinal thickness, central macular thickness (CMT), retinal layers thickness, retinal and choroidal hyperreflective foci (HF) number, vessel density (VD), vessel tortuosity (VT), vessel dispersion (Vdisp), and vessel rarefaction (VR) of macular and optic nerve head plexa. RESULTS: Overall, 54 eyes of 54 STGD patients (18 males) and 54 eyes of 54 healthy age- and sex-matched controls were included in the analysis. All quantitative parameters resulted significantly worse in STGD than controls (P < 0.01). Moreover, a VT cutoff of 5 allowed to distinguish the following two categories: a functionally and anatomically better STGD group and a worse group. BCVA resulted 0.42 ± 0.28 logMAR in the best group versus 1.09 ± 0.36 logMAR in the worst (P < 0.01). Structural OCT and OCTA parameters significantly differed between the two STGD groups. CONCLUSIONS: Quantitative OCTA was able to detect different morphofunctional STGD phenotypes. TRANSLATIONAL RELEVANCE: OCTA-based classification of STGD patients detected different patients' subgroups, differing in terms of morphologic and functional features, with a potential impact on clinical and research settings. |
format | Online Article Text |
id | pubmed-6900965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-69009652019-12-12 OCTA-Based Identification of Different Vascular Patterns in Stargardt Disease Arrigo, Alessandro Romano, Francesco Aragona, Emanuela di Nunzio, Carlo Sperti, Andrea Bandello, Francesco Battaglia Parodi, Maurizio Transl Vis Sci Technol Articles PURPOSE: The aim of the present study was to analyze quantitative optical coherence tomography (OCT) and OCT angiography (OCTA) parameters to identify clinically relevant cutoff values able to detect clinically different Stargardt's disease (STGD) subgroups. METHODS: Consecutive STGD patients were recruited and underwent complete ophthalmologic examination, including multimodal imaging. Several quantitative parameters were extracted both from structural OCT and OCTA images and were statistically analyzed. A post hoc analysis was performed to identify a quantitative cutoff able to distinguish two clinically different STGD subgroups. Main outcome measures were total retinal thickness, central macular thickness (CMT), retinal layers thickness, retinal and choroidal hyperreflective foci (HF) number, vessel density (VD), vessel tortuosity (VT), vessel dispersion (Vdisp), and vessel rarefaction (VR) of macular and optic nerve head plexa. RESULTS: Overall, 54 eyes of 54 STGD patients (18 males) and 54 eyes of 54 healthy age- and sex-matched controls were included in the analysis. All quantitative parameters resulted significantly worse in STGD than controls (P < 0.01). Moreover, a VT cutoff of 5 allowed to distinguish the following two categories: a functionally and anatomically better STGD group and a worse group. BCVA resulted 0.42 ± 0.28 logMAR in the best group versus 1.09 ± 0.36 logMAR in the worst (P < 0.01). Structural OCT and OCTA parameters significantly differed between the two STGD groups. CONCLUSIONS: Quantitative OCTA was able to detect different morphofunctional STGD phenotypes. TRANSLATIONAL RELEVANCE: OCTA-based classification of STGD patients detected different patients' subgroups, differing in terms of morphologic and functional features, with a potential impact on clinical and research settings. The Association for Research in Vision and Ophthalmology 2019-12-05 /pmc/articles/PMC6900965/ /pubmed/31832280 http://dx.doi.org/10.1167/tvst.8.6.26 Text en Copyright 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Articles Arrigo, Alessandro Romano, Francesco Aragona, Emanuela di Nunzio, Carlo Sperti, Andrea Bandello, Francesco Battaglia Parodi, Maurizio OCTA-Based Identification of Different Vascular Patterns in Stargardt Disease |
title | OCTA-Based Identification of Different Vascular Patterns in Stargardt Disease |
title_full | OCTA-Based Identification of Different Vascular Patterns in Stargardt Disease |
title_fullStr | OCTA-Based Identification of Different Vascular Patterns in Stargardt Disease |
title_full_unstemmed | OCTA-Based Identification of Different Vascular Patterns in Stargardt Disease |
title_short | OCTA-Based Identification of Different Vascular Patterns in Stargardt Disease |
title_sort | octa-based identification of different vascular patterns in stargardt disease |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900965/ https://www.ncbi.nlm.nih.gov/pubmed/31832280 http://dx.doi.org/10.1167/tvst.8.6.26 |
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