April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Agreement to Detect Glaucomatous Visual Field Progression by Using Statistical Analysis and Clinical Judgment
Author Affiliations & Notes
  • Cristiana Valente
    DiNOG, Clinica Oculistica, University of Genoa, Italy
  • Paolo Brusini
    Divisione di Oculistica, Ospedale di Udine, Italy
  • Paolo Capris
    G.Gaslini Divisione Oculistica, University of Genoa, Italy
  • Guido Corallo
    DiNOG, Clinica Oculistica, University of Genoa, Italy
  • Michele Figus
    Ophthalmology, University of Pisa, Pietrasanta, Italy
  • Paolo Fogagnolo
    Fondazione GB Bietti-IRCCS, Canegrate Milan, Italy
  • Paolo Frezzotti
    Ophthalmology, University of Siena, Siena, Italy
  • Gianluca Manni
    Biopatol Diagn Immagini, Univ of Rome Tor Vergata, Rome, Italy
  • Andrea Perdicchi
    Clinica Oculistica, University of La Sapienza 2, Rome, Italy
  • Michele M. Iester
    DiNOG, Clinica Oculistica, University of Genoa, Italy
  • Footnotes
    Commercial Relationships  Cristiana Valente, None; Paolo Brusini, None; Paolo Capris, None; Guido Corallo, None; Michele Figus, None; Paolo Fogagnolo, None; Paolo Frezzotti, None; Gianluca Manni, None; Andrea Perdicchi, None; Michele M. Iester, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 4158. doi:
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      Cristiana Valente, Paolo Brusini, Paolo Capris, Guido Corallo, Michele Figus, Paolo Fogagnolo, Paolo Frezzotti, Gianluca Manni, Andrea Perdicchi, Michele M. Iester; Agreement to Detect Glaucomatous Visual Field Progression by Using Statistical Analysis and Clinical Judgment. Invest. Ophthalmol. Vis. Sci. 2011;52(14):4158.

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Abstract

Purpose: : To examine the level of agreement between statistical analysis and clinical judgment by using standard Humphrey printout (SHP), glaucoma progression analysis 1 (GPA) and 2 (GPA2).

Methods: : This is a multicenter, retrospective and longitudinal study. Forty glaucomatous eyes were recruited in the study. Each visual field (VF) was assessed by Humphrey Field Analyzer (HFA), program SITA standard 30-2 or 24-2 (Carl Zeiss Meditec, Inc., Dublin, CA). Progression was analyzed by using statistical analysis and clinician judgment. For the statistical analysis, linear regression (r2) was calculated for MD, PSD and VFI and when it was significant, each series of VF was considered progressive. Then 9 expert clinicians assessed the progression status of each series by using SHP, GPA and GPA2. The progression criteria adopted by the clinicians were similar to the GPA algorithm comparing single field printout with the baseline exams. The agreement was evaluated using a weighted kappa statistic.

Results: : Forty visual field series were analyzed by the 9 physicians. The mean follow-up time was 6.2 ± 1.53 years (mean ± standard deviation). At baseline the mean MD was -7.34 ± 7.18 dB and at the end of the follow-up the mean MD was -9.25 ± 8.65 dB, this difference was statistically significant (p<0.001). The agreement to detect progression was 0.28 ± 0.17 between MD r2 and PSD r2, 0.67 ± 0.13 between MD r2 and VFI r2 and 0.28 ± 0.19 between PSD r2 and VFI r2. When we compared statistical analysis to clinical judgment, the mean agreement was 0.58 ± 0.14 between MD r2 and VFI judgment, 0.75 ± 0.11 between VFI judgment and VFI r2, 0.43 ± 0.15 between overview judgment and MD r2, 0.12 ± 0.15 between overview judgment and PSD r2 and 0.53 ± 0.15 between GPA judgment and MD r2.

Conclusions: : A substantial agreement was found between MD r2 and VFI r2 and between VFI judgment and VFI r2. GPA2 can help ophthalmologists to detect glaucoma progression.

Keywords: perimetry • visual fields 
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