Journal article
Three-dimensional automated choroidal volume assessment on standard spectral-domain optical coherence tomography and correlation with the level of diabetic macular edema
American journal of ophthalmology, Vol.158(5), pp.1039-1048.e1
11/2014
DOI: 10.1016/j.ajo.2014.08.001
PMCID: PMC5750044
PMID: 25127697
Abstract
To measure choroidal thickness on spectral-domain optical coherence tomography (SD OCT) images using automated algorithms and to correlate choroidal pathology with retinal changes attributable to diabetic macular edema (DME). Post hoc analysis of multicenter clinical trial baseline data. SD OCT raster scans/fluorescein angiograms were obtained from 284 treatment-naïve eyes of 142 patients with clinically significant DME and from 20 controls. Three-dimensional (3D) SD OCT images were evaluated by a certified independent reading center analyzing retinal changes associated with diabetic retinopathy. Choroidal thicknesses were analyzed using a fully automated algorithm. Angiograms were assessed manually. Multiple endpoint correction according to Bonferroni-Holm was applied. Main outcome measures were average retinal/choroidal thickness on fovea-centered or peak of edema (thickest point of edema)-centered Early Treatment Diabetic Retinopathy Study grid, maximum area of leakage, and the correlation between retinal and choroidal thicknesses. Total choroidal thickness is significantly reduced in DME (175 ± 23 μm; P = .0016) and nonedematous fellow eyes (177 ± 20 μm; P = .009) of patients compared with healthy control eyes (190 ± 23 μm). Retinal/choroidal thickness values showed no significant correlation (1-mm: P = .27, r(2) = 0.01; 3-mm: P = .96, r(2) < 0.0001; 6-mm: P = .42, r(2) = 0.006). No significant difference was found in the 1- or 3-mm circle of a retinal peak of edema-centered grid. All other measurements of choroidal/retinal thickness (DME vs healthy, DME vs peak of edema-centered, DME vs fellow, healthy vs fellow, peak of edema-centered vs healthy, peak of edema-centered vs fellow eyes) were compared but no statistically significant correlation was found. By tendency a thinner choroid correlates with larger retinal leakage areas. Automated algorithms can be used to reliably assess choroidal thickness in eyes with DME. Choroidal thickness was generally reduced in patients with diabetes if DME is present in 1 eye; however, no correlation was found between choroidal/retinal pathologies, suggesting different pathogenetic pathways.
Details
- Title: Subtitle
- Three-dimensional automated choroidal volume assessment on standard spectral-domain optical coherence tomography and correlation with the level of diabetic macular edema
- Creators
- Bianca S Gerendas - Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Ophthalmic Image Analysis, Medical University of Vienna, Vienna, AustriaSebastian M Waldstein - Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Ophthalmic Image Analysis, Medical University of Vienna, Vienna, AustriaChristian Simader - Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Ophthalmic Image Analysis, Medical University of Vienna, Vienna, Austria. Electronic address: optima@meduniwien.ac.atGabor Deak - Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Vienna, AustriaBilal Hajnajeeb - Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Vienna, AustriaLi Zhang - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IowaHrvoje Bogunovic - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IowaMichael D Abramoff - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, Iowa; Department of Ophthalmology & Visual Sciences, University of Iowa, Iowa City, Iowa; Veterans Affairs, Medical Center, West Iowa City, IowaMichael Kundi - Institute of Environmental Health, Center for Public Health, Medical University of Vienna, Vienna, AustriaMilan Sonka - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, Iowa; Department of Ophthalmology & Visual Sciences, University of Iowa, Iowa City, IowaUrsula Schmidt-Erfurth - Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Ophthalmic Image Analysis, Medical University of Vienna, Vienna, Austria
- Resource Type
- Journal article
- Publication Details
- American journal of ophthalmology, Vol.158(5), pp.1039-1048.e1
- DOI
- 10.1016/j.ajo.2014.08.001
- PMID
- 25127697
- PMCID
- PMC5750044
- NLM abbreviation
- Am J Ophthalmol
- ISSN
- 0002-9394
- eISSN
- 1879-1891
- Publisher
- Elsevier BV; United States
- Grant note
- R01 EY019112 / NEI NIH HHS R01 EB004640 / NIBIB NIH HHS R01 EY018853 / NEI NIH HHS
- Language
- English
- Date published
- 11/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806397002771
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