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Diagnostic capability of three-dimensional macular parameters for glaucoma using optical coherence tomography volume scans

  • Alice C. Verticchio Vercellin
  • , Firas Jassim
  • , Linda Yi-Chieh Poon
  • , Edem Tsikata
  • , Boy Braaf
  • , Sneha Shah
  • , Geulah Ben-David
  • , Eric Shieh
  • , Ramon Lee
  • , Huseyin Simavli
  • , Christian J. Que
  • , Georgia Papadogeorgou
  • , Rong Guo
  • , Benjamin J. Vakoc
  • , Brett E. Bouma
  • , Johannes F. de Boer
  • , Teresa C. Chen
  • University of Pavia
  • IRCCS Fondazione G.B. Bietti per lo studio e la ricerca in oftalmologia - Roma
  • Harvard University
  • Harvard Medical School
  • Chang Gung University
  • Brigham and Women’s Hospital
  • Johns Hopkins University School of Medicine
  • Tel Aviv University
  • University of California at Los Angeles
  • University of Southern California
  • Kudret Eye Hospital, Istanbul, Turkey
  • University of the East Ramon Magsaysay Memorial Medical Center, Quezon City, Philippines
  • Romblon Provincial Hospital, Odiongan, Philippines
  • Harvard School of Public Health

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

PURPOSE. To compare the diagnostic capability of three-dimensional (3D) macular parameters against traditional two-dimensional (2D) retinal nerve fiber layer (RNFL) thickness using spectral domain optical coherence tomography. To determine if manual correction and interpolation of B-scans improve the ability of 3D macular parameters to diagnose glaucoma. METHODS. A total of 101 open angle glaucoma patients (29 with early glaucoma) and 57 healthy subjects had peripapillary 2D RNFL thickness and 3D macular volume scans. Four parameters were calculated for six different-sized annuli: total macular thickness (M-thickness), total macular volume (M-volume), ganglion cell complex (GCC) thickness, and GCC volume of the innermost 3 macular layers (retinal nerve fiber layer + ganglion cell layer + inner plexiform layer). All macular parameters were calculated with and without correction and interpolation of frames with artifacts. The areas under the receiver operating characteristic curves (AUROC) were calculated for all the parameters. RESULTS. The 3D macular parameter with the best diagnostic performance was GCC-volume-34, with an inner diameter of 3 mm and an outer of 4 mm. The AUROC for RNFL thickness and GCC-volume-34 were statistically similar for all regions (global: RNFL thickness 0.956, GCC-volume-34 0.939, P value = 0.3827), except for the temporal GCC-volume-34, which was significantly better than temporal RNFL thickness (P value = 0.0067). Correction of artifacts did not significantly change the AUROC of macular parameters (P values between 0.8452 and 1.0000). CONCLUSIONS. The diagnostic performance of best macular parameters (GCC-volume-34 and GCC-thickness-34) were similar to or better than 2D RNFL thickness. Manual correction of artifacts with data interpolation is unnecessary in the clinical setting.
Original languageEnglish
Pages (from-to)4998-5010
JournalInvestigative Ophthalmology and Visual Science
Volume59
Issue number12
DOIs
Publication statusPublished - 2018

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