Cargando…

Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls

PURPOSE: To examine subtle differences in the structure of diabetic vs. control retinas. METHODS: Spectral-domain optical coherence tomography (SD-OCT) images were compared for the retinas of 33 diabetic subjects who did not have clinical evidence of diabetic macular edema and age-matched controls,...

Descripción completa

Detalles Bibliográficos
Autores principales: Papay, Joel A., Elsner, Ann E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213050/
https://www.ncbi.nlm.nih.gov/pubmed/34143819
http://dx.doi.org/10.1371/journal.pone.0253091
_version_ 1783709757860741120
author Papay, Joel A.
Elsner, Ann E.
author_facet Papay, Joel A.
Elsner, Ann E.
author_sort Papay, Joel A.
collection PubMed
description PURPOSE: To examine subtle differences in the structure of diabetic vs. control retinas. METHODS: Spectral-domain optical coherence tomography (SD-OCT) images were compared for the retinas of 33 diabetic subjects who did not have clinical evidence of diabetic macular edema and age-matched controls, with central macular thicknesses of 275 and 276 microns, respectively. Cross-sectional retinal images through the fovea, called B-scans, were analyzed for spatial frequency content. The B-scans were processed to remove and smooth the portions of the retinal image not within regions of interest in the retina. The remaining retinal images were then quantified using a Fast Fourier Transform (FFT) approach that provided amplitude as a function of spatial frequency. RESULTS: The FFT analysis showed that diabetic retinas had spatial frequency content with significantly higher power compared to control retinas particularly for a deeper fundus layer at mid-range spatial frequencies, ranging from p = 0.0030 to 0.0497 at 16.8 to 18.2 microns/cycle. There was lower power at higher spatial frequencies, ranging from p = 0.0296 and 0.0482 at 27.4 and 29.0 microns/cycle. The range of mid-range frequencies corresponds to the sizes of small blood vessel abnormalities and hard exudates. Retinal thickness did not differ between the two groups. CONCLUSIONS: Diabetic retinas, although not thicker than controls, had subtle but quantifiable pattern changes in SD-OCT images particularly in deeper fundus layers. The size range and distribution of this pattern in diabetic eyes were consistent with small blood vessel abnormalities and leakage of lipid and fluid. Feature-based biomarkers may augment retinal thickness criteria for management of diabetic eye complications, and may detect early changes.
format Online
Article
Text
id pubmed-8213050
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-82130502021-06-29 Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls Papay, Joel A. Elsner, Ann E. PLoS One Research Article PURPOSE: To examine subtle differences in the structure of diabetic vs. control retinas. METHODS: Spectral-domain optical coherence tomography (SD-OCT) images were compared for the retinas of 33 diabetic subjects who did not have clinical evidence of diabetic macular edema and age-matched controls, with central macular thicknesses of 275 and 276 microns, respectively. Cross-sectional retinal images through the fovea, called B-scans, were analyzed for spatial frequency content. The B-scans were processed to remove and smooth the portions of the retinal image not within regions of interest in the retina. The remaining retinal images were then quantified using a Fast Fourier Transform (FFT) approach that provided amplitude as a function of spatial frequency. RESULTS: The FFT analysis showed that diabetic retinas had spatial frequency content with significantly higher power compared to control retinas particularly for a deeper fundus layer at mid-range spatial frequencies, ranging from p = 0.0030 to 0.0497 at 16.8 to 18.2 microns/cycle. There was lower power at higher spatial frequencies, ranging from p = 0.0296 and 0.0482 at 27.4 and 29.0 microns/cycle. The range of mid-range frequencies corresponds to the sizes of small blood vessel abnormalities and hard exudates. Retinal thickness did not differ between the two groups. CONCLUSIONS: Diabetic retinas, although not thicker than controls, had subtle but quantifiable pattern changes in SD-OCT images particularly in deeper fundus layers. The size range and distribution of this pattern in diabetic eyes were consistent with small blood vessel abnormalities and leakage of lipid and fluid. Feature-based biomarkers may augment retinal thickness criteria for management of diabetic eye complications, and may detect early changes. Public Library of Science 2021-06-18 /pmc/articles/PMC8213050/ /pubmed/34143819 http://dx.doi.org/10.1371/journal.pone.0253091 Text en © 2021 Papay, Elsner https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Papay, Joel A.
Elsner, Ann E.
Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls
title Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls
title_full Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls
title_fullStr Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls
title_full_unstemmed Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls
title_short Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls
title_sort quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213050/
https://www.ncbi.nlm.nih.gov/pubmed/34143819
http://dx.doi.org/10.1371/journal.pone.0253091
work_keys_str_mv AT papayjoela quantifyingfrequencycontentincrosssectionalretinalscansofdiabeticsvscontrols
AT elsneranne quantifyingfrequencycontentincrosssectionalretinalscansofdiabeticsvscontrols