April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Glaucoma Detection Using Three Different RTVue Optical Coherence Tomography Scanning Protocols
Author Affiliations & Notes
  • Manuele Michelessi
    Dipartimento di Biopatologia e Diagnostica per immagini,Università di Tor Vergata, Rome, Italy
  • Francesco Oddone
    Fondazione G.B.Bietti-IRCCS, Rome, Italy
  • Marco Centofanti
    Dipartimento di Biopatologia e Diagnostica per immagini,Università di Tor Vergata, Rome, Italy
    Fondazione G.B.Bietti-IRCCS, Rome, Italy
  • Lucia Tanga
    Fondazione G.B.Bietti-IRCCS, Rome, Italy
  • Gloria Roberti
    Dipartimento di Biopatologia e Diagnostica per immagini,Università di Tor Vergata, Rome, Italy
  • Alessandra Acquistapace
    Dipartimento di Biopatologia e Diagnostica per immagini,Università di Tor Vergata, Rome, Italy
  • Francesca Berardo
    Fondazione G.B.Bietti-IRCCS, Rome, Italy
  • Gianluca Manni
    Dipartimento di Biopatologia e Diagnostica per immagini,Università di Tor Vergata, Rome, Italy
    Fondazione G.B.Bietti-IRCCS, Rome, Italy
  • Footnotes
    Commercial Relationships  Manuele Michelessi, None; Francesco Oddone, None; Marco Centofanti, None; Lucia Tanga, None; Gloria Roberti, None; Alessandra Acquistapace, None; Francesca Berardo, None; Gianluca Manni, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 198. doi:
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      Manuele Michelessi, Francesco Oddone, Marco Centofanti, Lucia Tanga, Gloria Roberti, Alessandra Acquistapace, Francesca Berardo, Gianluca Manni; Glaucoma Detection Using Three Different RTVue Optical Coherence Tomography Scanning Protocols. Invest. Ophthalmol. Vis. Sci. 2011;52(14):198.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: : To evaluate and to compare diagnostic ability of optic nerve head(ONH), retinal nerve fiber layer(RNFL) and macular thickness measurements obtained with RTVue fourier domain optical coherence tomography(FD-OCT), to discriminate healthy from glaucomatous eyes.

Methods: : 206 eyes from 126 normal subjects and 80 glaucomatous patients were enrolled. All patients underwent a full eye examination, standard achromatic perimetry (SAP) and were imaged with RTVue FD-OCT ,using three different scanning protocols (RNFL, ONH and ganglion cell complex(GCC) analysis). Glaucoma was defined on the basis of SITA-24-2 visual field loss (PSD and MD p<5% and Glaucoma Hemifield Test outside normal limits) on two consecutive visual fields. Areas under receiver operating characteristic curve(AUC) were calculated as measure of diagnostic accuracy and the Henley-McNeil method was used to compare the AUC’s of best parameter of each scanning protocol. Sensitivity at ≥90% fixed specificity was also evaluated.

Results: : The RNFL parameters with the largest AUC were average thickness(0,861) and inferior quadrant thickness(0,854).Inferior rim area(0,871) and rim volume(0,875) showed the best performance among ONH parameters. The GCC parameters with the higher AUC were inner average thickness(0,847) and inferior inner average thickness(0,82). No statistically significant differences were found between the AUCs of the best parameter of each scanning protocol. At a fixed specificity of 90%, RNFL inferior quadrant and ONH inferior rim area showed the highest sensitivity (67%).

Conclusions: : RTVue ONH , RNFL and GCC parameters had similarly and good diagnostic ability to discriminate between healthy and glaucomatous eye. ONH inferior rim area and RNFL inferior quadrant thickness showed the best diagnostic performance.

Keywords: imaging/image analysis: clinical • nerve fiber layer • optic nerve 
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