Cargando…

Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode

Background: We compared with and without enhanced depth imaging mode (EDI) in semi-automated quantification of retinal and choroidal biomarkers in optical coherence tomography (OCT) in patients with diabetic retinopathy (DR) or retinal vein occlusion (RVO) complicated by macular edema. We chose to s...

Descripción completa

Detalles Bibliográficos
Autores principales: Kessler, Lucy J., Bagautdinov, Dmitrii, Łabuz, Grzegorz, Auffarth, Gerd U., Khoramnia, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871461/
https://www.ncbi.nlm.nih.gov/pubmed/35204422
http://dx.doi.org/10.3390/diagnostics12020333
_version_ 1784657001838542848
author Kessler, Lucy J.
Bagautdinov, Dmitrii
Łabuz, Grzegorz
Auffarth, Gerd U.
Khoramnia, Ramin
author_facet Kessler, Lucy J.
Bagautdinov, Dmitrii
Łabuz, Grzegorz
Auffarth, Gerd U.
Khoramnia, Ramin
author_sort Kessler, Lucy J.
collection PubMed
description Background: We compared with and without enhanced depth imaging mode (EDI) in semi-automated quantification of retinal and choroidal biomarkers in optical coherence tomography (OCT) in patients with diabetic retinopathy (DR) or retinal vein occlusion (RVO) complicated by macular edema. We chose to study three OCT biomarkers: the numbers of hyperreflective foci (HF), the ellipsoid zone reflectivity ratio (EZR) and the choroidal vascularity index (CVI), all known to be correlated with visual acuity changes or treatment outcomes. Methods: In a single examination, one eye of each patient (n = 60; diabetic retinopathy: n = 27, retinal vein occlusion: n = 33) underwent macular 870 nm spectral domain-OCT (SD-OCT) B-scans without and with EDI mode. Semi-automated quantification of HF, EZR and CVI was applied according to preexisting published protocols. Paired Student’s t-test or Wilcoxon rank-sum test was used to test for differences in subgroups. Intraclass correlation coefficient (ICC) and Bland–Altman plots were applied to describe the agreement between quantification in EDI and conventional OCT mode. The effect of macular edema on semi-automated quantification was evaluated. Results: For the entire cohort, quantification of all three biomarkers was not significantly different in SD-OCT scans with and without EDI mode (p > 0.05). ICC was 0.78, 0.90 and 0.80 for HF, EZR and CVI. The presence of macular edema led to significant differences in the quantification of hyperreflective foci (without EDI: 80.00 ± 33.70, with EDI: 92.08 ± 38.11; mean difference: 12.09, p = 0.03), but not in the quantification of EZR and CVI (p > 0.05). Conclusion: Quantification of EZR and CVI was comparable whether or not EDI mode was used. In conclusion, both retinal and choroidal biomarkers can be quantified from one single 870 nm SD-OCT EDI image.
format Online
Article
Text
id pubmed-8871461
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88714612022-02-25 Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode Kessler, Lucy J. Bagautdinov, Dmitrii Łabuz, Grzegorz Auffarth, Gerd U. Khoramnia, Ramin Diagnostics (Basel) Article Background: We compared with and without enhanced depth imaging mode (EDI) in semi-automated quantification of retinal and choroidal biomarkers in optical coherence tomography (OCT) in patients with diabetic retinopathy (DR) or retinal vein occlusion (RVO) complicated by macular edema. We chose to study three OCT biomarkers: the numbers of hyperreflective foci (HF), the ellipsoid zone reflectivity ratio (EZR) and the choroidal vascularity index (CVI), all known to be correlated with visual acuity changes or treatment outcomes. Methods: In a single examination, one eye of each patient (n = 60; diabetic retinopathy: n = 27, retinal vein occlusion: n = 33) underwent macular 870 nm spectral domain-OCT (SD-OCT) B-scans without and with EDI mode. Semi-automated quantification of HF, EZR and CVI was applied according to preexisting published protocols. Paired Student’s t-test or Wilcoxon rank-sum test was used to test for differences in subgroups. Intraclass correlation coefficient (ICC) and Bland–Altman plots were applied to describe the agreement between quantification in EDI and conventional OCT mode. The effect of macular edema on semi-automated quantification was evaluated. Results: For the entire cohort, quantification of all three biomarkers was not significantly different in SD-OCT scans with and without EDI mode (p > 0.05). ICC was 0.78, 0.90 and 0.80 for HF, EZR and CVI. The presence of macular edema led to significant differences in the quantification of hyperreflective foci (without EDI: 80.00 ± 33.70, with EDI: 92.08 ± 38.11; mean difference: 12.09, p = 0.03), but not in the quantification of EZR and CVI (p > 0.05). Conclusion: Quantification of EZR and CVI was comparable whether or not EDI mode was used. In conclusion, both retinal and choroidal biomarkers can be quantified from one single 870 nm SD-OCT EDI image. MDPI 2022-01-27 /pmc/articles/PMC8871461/ /pubmed/35204422 http://dx.doi.org/10.3390/diagnostics12020333 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kessler, Lucy J.
Bagautdinov, Dmitrii
Łabuz, Grzegorz
Auffarth, Gerd U.
Khoramnia, Ramin
Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode
title Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode
title_full Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode
title_fullStr Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode
title_full_unstemmed Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode
title_short Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode
title_sort semi-automated quantification of retinal and choroidal biomarkers in retinal vascular diseases: agreement of spectral-domain optical coherence tomography with and without enhanced depth imaging mode
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871461/
https://www.ncbi.nlm.nih.gov/pubmed/35204422
http://dx.doi.org/10.3390/diagnostics12020333
work_keys_str_mv AT kesslerlucyj semiautomatedquantificationofretinalandchoroidalbiomarkersinretinalvasculardiseasesagreementofspectraldomainopticalcoherencetomographywithandwithoutenhanceddepthimagingmode
AT bagautdinovdmitrii semiautomatedquantificationofretinalandchoroidalbiomarkersinretinalvasculardiseasesagreementofspectraldomainopticalcoherencetomographywithandwithoutenhanceddepthimagingmode
AT łabuzgrzegorz semiautomatedquantificationofretinalandchoroidalbiomarkersinretinalvasculardiseasesagreementofspectraldomainopticalcoherencetomographywithandwithoutenhanceddepthimagingmode
AT auffarthgerdu semiautomatedquantificationofretinalandchoroidalbiomarkersinretinalvasculardiseasesagreementofspectraldomainopticalcoherencetomographywithandwithoutenhanceddepthimagingmode
AT khoramniaramin semiautomatedquantificationofretinalandchoroidalbiomarkersinretinalvasculardiseasesagreementofspectraldomainopticalcoherencetomographywithandwithoutenhanceddepthimagingmode