Quantifying discordance between structure and function measurements in the clinical assessment of glaucoma

Haogang Zhu, David P. Crabb, Marie Josée Fredette, Douglas Anderson, David F. Garway-Heath

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Objective: To evaluate a new method of quantifying and visualizing discordance between structural and functional measurements in glaucomatous eyes by predicting the visual field (VF) from retinal nerve fiber layer thickness (RNFLT) using a bayesian radial basis function. Methods: Five GDx VCC RNFLT scans and 5 Humphrey 24-2 Swedish Interactive Thresholding Algorithm VF tests were performed for 50 glaucomatous eyes from 50 patients. A best-available estimate (BAE) of the true VF was calculated as the pointwise median of these 5 replications. This BAE VF was compared with every RNFLT-predicted VF from the bayesian radial basis function and every measured VF. Predictability of VFs from RNFLT was established from previous data. A structure-function pattern discordance map and a structure- function discordance index (scores of 0-1) were established from the predictability limits for each structurefunction measurement pair to quantify and visualize the discordance between the structure-predicted and measured VFs.Results: The mean absolute difference between the structure- predicted and BAE VFs was 3.9 dB. The mean absolute difference between measured and BAE VFs was 2.6 dB. The mean (SD) structure-function discordance index score was 0.34 (0.11). Ninety-seven (39%) of the structure-predicted VFs showed significant discordance (structure-function discordance index score >0.3) from measured VFs. Conclusions: On average, the bayesian radial basis function predicts theBAEVFfromRNFLTslightly less well than a measured VF from the 5 VFs composing the BAE VF. The pattern discordancemaphighlights locations with structurefunction discordance, with the structure-function discordance index providing a summary index. These tools may help clinicians trust the mutually confirmatory structurefunction measurements with good concordance or identify unreliable ones with poor concordance.

Original languageEnglish
Pages (from-to)1164-1174
Number of pages11
JournalArchives of Ophthalmology
Volume129
Issue number9
DOIs
StatePublished - Sep 1 2011

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Visual Fields
Glaucoma
Nerve Fibers
Visual Field Tests

ASJC Scopus subject areas

  • Ophthalmology

Cite this

Quantifying discordance between structure and function measurements in the clinical assessment of glaucoma. / Zhu, Haogang; Crabb, David P.; Fredette, Marie Josée; Anderson, Douglas; Garway-Heath, David F.

In: Archives of Ophthalmology, Vol. 129, No. 9, 01.09.2011, p. 1164-1174.

Research output: Contribution to journalArticle

Zhu, Haogang ; Crabb, David P. ; Fredette, Marie Josée ; Anderson, Douglas ; Garway-Heath, David F. / Quantifying discordance between structure and function measurements in the clinical assessment of glaucoma. In: Archives of Ophthalmology. 2011 ; Vol. 129, No. 9. pp. 1164-1174.
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abstract = "Objective: To evaluate a new method of quantifying and visualizing discordance between structural and functional measurements in glaucomatous eyes by predicting the visual field (VF) from retinal nerve fiber layer thickness (RNFLT) using a bayesian radial basis function. Methods: Five GDx VCC RNFLT scans and 5 Humphrey 24-2 Swedish Interactive Thresholding Algorithm VF tests were performed for 50 glaucomatous eyes from 50 patients. A best-available estimate (BAE) of the true VF was calculated as the pointwise median of these 5 replications. This BAE VF was compared with every RNFLT-predicted VF from the bayesian radial basis function and every measured VF. Predictability of VFs from RNFLT was established from previous data. A structure-function pattern discordance map and a structure- function discordance index (scores of 0-1) were established from the predictability limits for each structurefunction measurement pair to quantify and visualize the discordance between the structure-predicted and measured VFs.Results: The mean absolute difference between the structure- predicted and BAE VFs was 3.9 dB. The mean absolute difference between measured and BAE VFs was 2.6 dB. The mean (SD) structure-function discordance index score was 0.34 (0.11). Ninety-seven (39{\%}) of the structure-predicted VFs showed significant discordance (structure-function discordance index score >0.3) from measured VFs. Conclusions: On average, the bayesian radial basis function predicts theBAEVFfromRNFLTslightly less well than a measured VF from the 5 VFs composing the BAE VF. The pattern discordancemaphighlights locations with structurefunction discordance, with the structure-function discordance index providing a summary index. These tools may help clinicians trust the mutually confirmatory structurefunction measurements with good concordance or identify unreliable ones with poor concordance.",
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