title: Reproducibility of diabetic macular edema estimates from SD-OCT is affected by the choice of image analysis algorithm.
abstract: OBJECTIVE
  To evaluate the intersession repeatability of retinal thickness measurements in patients with diabetic macular edema (DME) using the Heidelberg Spectralis optical coherence tomography (OCT) algorithm and a publicly available, three-dimensional graph search-based multilayer OCT segmentation algorithm, the Iowa Reference Algorithm.
  
  
  METHODS
  Thirty eyes from 21 patients diagnosed with clinically significant DME were included and underwent consecutive, registered macula-centered spectral-domain optical coherence scans (Heidelberg Spectralis). The OCT scans were segmented into separate surfaces, and the average thickness between internal limiting membrane and outer retinal pigment epithelium complex surfaces was determined using the Iowa Reference Algorithm. Variability between paired scans was analyzed and compared with the retinal thickness obtained from the manufacturer-supplied Spectralis software.
  
  
  RESULTS
  The coefficient of repeatability (variation) for central macular thickness using the Iowa Reference Algorithm was 5.26 μm (0.62% [95% confidence interval (CI), 0.43-0.71]), while for the Spectralis algorithm this was 6.84 μm (0.81% [95% CI, 0.55-0.92]). When the central 3 mm was analyzed, the coefficient of repeatability (variation) was 2.46 μm (0.31% [95% CI, 0.23-0.38]) for the Iowa Reference Algorithm and 4.23 μm (0.53% [95% CI, 0.39-0.65]) for the Spectralis software.
  
  
  CONCLUSIONS
  The Iowa Reference Algorithm and the Spectralis software provide excellent reproducibility between serial scans in patients with clinically significant DME. The publicly available Iowa Reference Algorithm may have lower between-measurement variation than the manufacturer-supplied Spectralis software for the central 3 mm subfield. These findings have significant implications for the management of patients with DME.
authors.affiliation: Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
authors.forename: Elliott H
authors.initials: EH
authors.lastname: Sohn
authors.forename: John J
authors.initials: JJ
authors.lastname: Chen
authors.forename: Kyungmoo
authors.initials: K
authors.lastname: Lee
authors.forename: Meindert
authors.initials: M
authors.lastname: Niemeijer
authors.forename: Milan
authors.initials: M
authors.lastname: Sonka
authors.forename: Michael D
authors.initials: MD
authors.lastname: Abràmoff
mesh_terms: D000368:Aged; D000465:Algorithms; D003930:Diabetic Retinopathy / Q000473:pathology*; D005260:Female; D006801:Humans; D008269:Macular Edema / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012160:Retina / Q000473:pathology*; D012984:Software / Q000592:standards; D041623:Tomography, Optical Coherence / Q000379:methods*
keywords: OCT; diabetic retinopathy; image analysis; macular edema; retina