scholarly journals Elucidating Macular Structure-Function Correlations in Glaucoma

Author(s):  
Sara Giammaria ◽  
Glen Sharpe ◽  
Dyachojk Oksana ◽  
Paul Rafuse ◽  
Shuba Lesya ◽  
...  

Abstract Correlation between structural data from optical coherence tomography (OCT) and functional data from the visual field (VF) may be suboptimal because of poor mapping of OCT measurement locations to VF test stimuli. We tested the hypothesis that stronger structure-function correlations in the macula can be achieved with fundus-tracking perimetery, by precisely mapping OCT measurements to VF sensitivity at the same location. The conventional 64 superpixel (3°x3°) OCT grid was mapped to VF sensitivities averaged in 40 corresponding VF units with standard automated perimetry (conventional mapped approach, CMA) in 38 glaucoma patients and 10 healthy subjects. Similarly, a 144 superpixel (2°x2°) OCT grid was mapped to each of the 68 VF locations with fundus-tracking perimetry (localized mapped approach, LMA). For each approach, the correlation between sensitivity at each VF unit and OCT superpixel was computed and the maximum value used to generate vector maps. CMA yielded significantly higher structure-function correlations compared to LMA. Only 20% of the vectors with CMA and <5% with LMA were within corresponding mapped OCT superpixels, while most were directed towards loci with structural damage. Measurement variability and patterns of glaucomatous damage are more likely to affect the correlations rather than precise mapping of VF stimuli.

2015 ◽  
Vol 56 (13) ◽  
pp. 8063 ◽  
Author(s):  
Harsha L. Rao ◽  
Manideepak Januwada ◽  
Raza S. M. Hussain ◽  
Lalitha N. Pillutla ◽  
Viquar U. Begum ◽  
...  

2014 ◽  
Vol 55 (5) ◽  
pp. 3074 ◽  
Author(s):  
Luciano Moreira Pinto ◽  
Elaine Fiod Costa ◽  
Luiz Alberto S. Melo ◽  
Paula Blasco Gross ◽  
Eduardo Toshio Sato ◽  
...  

2020 ◽  
Author(s):  
Pete R. Jones ◽  
Peter Campbell ◽  
Tamsin Callaghan ◽  
Lee Jones ◽  
Daniel S. Asfaw ◽  
...  

AbstractPurposeTo assess accuracy and adherence of visual field (VF) home-monitoring in a pilot sample of glaucoma patients.DesignProspective longitudinal observation.MethodsTwenty adults (median 71 years) with an established diagnosis of glaucoma were issued a tablet-perimeter (Eyecatcher), and were asked to perform one VF home-assessment per eye, per month, for 6 months (12 tests total). Before and after home-monitoring, two VF assessments were performed in-clinic using Standard Automated Perimetry (SAP; 4 tests total, per eye).ResultsAll 20 participants could perform monthly home-monitoring, though one participant stopped after 4 months (Adherence: 98%). There was good concordance between VFs measured at home and in the clinic (r = 0.94, P < 0.001). In 21 of 236 tests (9%) Mean Deviation deviated by more than ±3dB from the median. Many of these anomalous tests could be identified by applying machine learning techniques to recordings from the tablets’ front-facing camera (Area Under the ROC Curve = 0.78). Adding home-monitoring data to 2 SAP tests made 6 months apart reduced measurement error (between-test measurement variability) in 97% of eyes, with mean absolute error more than halving in 90% of eyes. Median test duration was 4.5mins (Quartiles: 3.9−5.2mins). Substantial variations in ambient illumination had no observable effect on VF measurements (r = 0.07, P = 0.320).ConclusionsHome-monitoring of VFs is viable for some patients, and may provide clinically useful data.


2017 ◽  
Vol 1 (3) ◽  
pp. 82-99
Author(s):  
Paul Y. Kim ◽  
Khan M. Iftekharuddin ◽  
Pinakin G. Davey ◽  
Gabor Holló ◽  
Martha Tóth ◽  
...  

This work proposes novel selective feature fusion of structural and functional data for improved glaucoma detection. The structural data such as retinal nerve fiber layer (RNFL) thickness measurement acquired by scanning laser polarimetry (SLP) is fused with the functional visual field (VF) measurement recorded from the standard automated perimetry (SAP) test. The proposed selective feature fusion exploits correspondence between structural and functional data obtained over multiple sectors. The correlation coefficients for corresponding structural-function sector pairs are used as weights in subsequent feature selection. The sectors are ranked according to the correlation coefficients and the first four highly ranked sectors are retained. Following our prior work, fractal analysis (FA) features for both structural and functional data are obtained and fused for each selected sectors respectively. These fused FA features are then used for glaucoma detection. The novelty of this work stems from (i) locating structure-functional sectoral correspondence; (ii) selecting only a few interesting sector pairs using correlation coefficient between structure-function data; (iii) obtaining novel FA features from these pairs; and (iv) fusing these features for glaucoma detection. Such a method is distinctively different from other existing methods that exploit structure-function models in that structure-function sectoral correspondences have been weighted and, based on such weights, only portions of the sectors are retained for subsequent fusion and classification of structural and functional features. For statistical analysis of the glaucoma detection results, sensitivity, specificity and area under receiver operating characteristic curve (AUROC) are calculated. Performance comparison is obtained with those of existing feature-based techniques such as wavelet-Fourier analysis (WFA) and fast-Fourier analysis (FFA). Comparisons of AUROC values show that our novel selective feature fusion method for discrimination of glaucomatous and ocular normal patients slightly outperforms other existing techniques with AUROCs of 0.98, 0.98 and 0.99 for WFA, FFA and FA respectively.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Livia M. Brandao ◽  
Anna A. Ledolter ◽  
Andreas Schötzau ◽  
Anja M. Palmowski-Wolfe

Purpose. To compare two different spectral-domain optical coherence tomography (OCT) systems in regard to full macular thickness (MT) and ganglion cell layer-inner plexiform layer (GCIPL) measures and in regard to structure-function correlation when compared to standard automated perimetry (SAP).Methods. Seventeen primary open angle glaucoma patients and 16 controls (one eye per subject) were enrolled. MT and GCIPL thicknesses were measured by Cirrus and Spectralis OCTs. Octopus Perimeter 101 (G2 protocol) reports sensitivity in mean defect (dB). Differences between measurements were assessed with Student’st-test and Bland Altman. Diagnostic performance was also compared between each parameter calculating the areas under the operator receiver (ROC). Linear models were used to investigate structure-function association between OCT and SAP.Results. Disagreement between OCTs in both MT and GCIPL values was significant. Spectralis values were thicker than Cirrus. Average difference between OCTs was 21.64 μm (SD 4.5) for MT and 9.8 μm (SD 5.4) for GCIPL (p<0.001). Patients differed significantly from controls in both OCTs, in both measurements. MT and GCIPL were negatively associated with MD (p<0.001).Conclusions. Although OCT values were not interchangeable, both machines differentiated patients from controls with statistical significance. Structure-function analysis results were comparable, when either OCT was compared to SAP.


2012 ◽  
Vol 21 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Mauro T. Leite ◽  
Linda M. Zangwill ◽  
Robert N. Weinreb ◽  
Harsha L. Rao ◽  
Luciana M. Alencar ◽  
...  

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