June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Structure and function in multifocal pupillographic objective perimetry (mfPOP)
Author Affiliations & Notes
  • Maria Kolic
    ARC CoE in Vision Science, Australian National University, Canberra City, ACT, Australia
    Eccles Institute of Neuroscience, Australian National University, Canberra, ACT, Australia
  • Allan Chain
    ANU Medical School, Australian National University, Canberra City, ACT, Australia
  • Andrew James
    ARC CoE in Vision Science, Australian National University, Canberra City, ACT, Australia
    Eccles Institute of Neuroscience, Australian National University, Canberra, ACT, Australia
  • Ted Maddess
    ARC CoE in Vision Science, Australian National University, Canberra City, ACT, Australia
    Eccles Institute of Neuroscience, Australian National University, Canberra, ACT, Australia
  • Corinne Carle
    ARC CoE in Vision Science, Australian National University, Canberra City, ACT, Australia
    Eccles Institute of Neuroscience, Australian National University, Canberra, ACT, Australia
  • Footnotes
    Commercial Relationships Maria Kolic, SeeingMachines Ltd (E); Allan Chain, None; Andrew James, Seeing Machines, Inc (P); Ted Maddess, Seeing Machines (F), Seeing Machines (P), EyeCo (I); Corinne Carle, AU2012/905171 (P)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 2294. doi:
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    • Get Citation

      Maria Kolic, Allan Chain, Andrew James, Ted Maddess, Corinne Carle; Structure and function in multifocal pupillographic objective perimetry (mfPOP). Invest. Ophthalmol. Vis. Sci. 2013;54(15):2294.

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

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Abstract
 
Purpose
 

To compare correlations between peripapillary retinal nerve fibre layer (RNFL) thicknesses and visual field changes detected using SAP and multifocal pupillographic objective perimetry (mfPOP) in glaucoma.

 
Methods
 

Structure-function correlations were computed for data from 25 glaucoma and 25 normal subjects tested using SAP thresholds and fields derived from three mfPOP stimulus protocols: 1) LumBal: luminance-balanced bright yellow stimuli on a 10 cd/m2 yellow background; 2) Lum+Col: 150 cd/m2 green stimuli on 10 cd/m2 red; and 3) Lum+ColBal = Lum+Col but with luminance balancing. Field data were grouped in arcuate clusters according to Stratus OCT sectors. Pearson correlation coefficients (r) by test region and arcuate cluster were calculated between mfPOP or SAP deviations and RNFL deviations from normative data.

 
Results
 

The strongest correlations were observed in the superior-superotemporal sector in severe glaucoma eyes: r=0.94 and r=0.90 for the mfPOP LumBal and Lum+Col protocols respectively (both n=16, p<0.05). Correlations across all test-points in both SAP and mfPOP were strongest in eyes with severe glaucoma (SAP MD<-12dB): SAP r=0.56, LumBal r=0.55, Lum+Col r=0.52, Lum+ColBal r=0.41 (all n=192, p<0.05). No significant correlation was observed in normal subjects for mfPOP or SAP. For all patient eyes taken together SAP correlations were higher than mfPOP, however scatterplots of mfPOP/RNFL deviations were quite linear while SAP data saturated.

 
Conclusions
 

For both methods the largest correlations with RNFL thickness corresponded to the inferior nasal field of more severely damaged eyes. Head to head comparison of mfPOP and SAP showed similar structure/function relationships.

 
Keywords: 667 pupil • 642 perimetry • 758 visual fields  
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