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Clinical Sciences |

Longitudinal Structure-Function Relationships With Scanning Laser Ophthalmoscopy and Standard Achromatic Perimetry

Nariman Nassiri, MD; Naveed Nilforushan, MD; Anne L. Coleman, MD, PhD; Simon K. Law, MD, PharmD; Joseph Caprioli, MD; Kouros Nouri-Mahdavi, MD, MSc
Arch Ophthalmol. 2012;130(7):826-832. doi:10.1001/archophthalmol.2012.1057.
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Objective  To explore longitudinal correlations between structural and functional rates of glaucoma progression with confocal scanning laser ophthalmoscopy and standard achromatic perimetry.

Methods  In this retrospective longitudinal study, 108 eyes with suspected or established glaucoma and 5 or more good-quality scanning laser ophthalmoscopy examinations (global pixel SD <50 μm) and 6 or more reliable visual field (VF) examinations were included. Global and regional rates of progression for VF sensitivity and rim area (RA) were calculated with linear regression analysis. Correlations of global and regional rates of progression were calculated with bivariate correlation analyses. Linear mixed models were built to determine predictive factors for functional and structural changes over time.

Results  The mean (SD) baseline mean deviation was −4.6 (4.9) decibels. The inferotemporal and superotemporal RAs had the highest overall rates of decay (0.0018 mm2/y). Glaucoma progressed in 38 (35.2%) and 20 (18.5%) eyes based on event and trend mean deviation criteria, respectively. The highest correlations of rates were observed between the superonasal or superotemporal RA and inferior VF clusters (ρ = 0.25-0.39; P ≤ .03). Follow-up time, baseline RA, and their interaction were the only significant predictors for RA change; belonging to the group with progression was not associated with higher rates of RA progression.

Conclusions  Longitudinal structure-function relationships are fair at best in eyes with suspected or established glaucoma. Eyes with progressing disease according to VF criteria do not show significantly higher rates of RA progression. Both structural and functional outcomes need to be monitored to detect glaucoma progression in a timely manner.

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Figures

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Figure 1. Demonstration of corresponding optic disc sectors and visual field clusters used in the current study. Optic disc rim sectors according to Heidelberg Retina Tomograph 3 (HRT) (Heidelberg Engineering) (A) and corresponding visual field clusters (B) as introduced by Garway-Heath et al.11 The corresponding visual field clusters and HRT sectors are represented in the same colors. IN indicates inferonasal; IT, inferotemporal; N, nasal; SN, superonasal; ST, superotemporal; and T, temporal.

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Figure 2. A, Distribution of rates of change for global rim area. B, Mean deviation in the study sample.

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Figure 3. A, Scatterplot of mean deviation slopes of change vs global rim area slopes (Spearman correlation coefficient = 0.14; P = .20). The line of best fit assuming a linear relationship is also demonstrated. B, Scatterplot of slopes of change in the average visual field threshold in the inferotemporal visual field cluster vs superonasal Heidelberg retina tomograph rim area slopes (Spearman correlation coefficient = 0.39; P = .001). The line of best fit assuming a linear relationship is also demonstrated. Only eyes with a negative global or sectoral slope were included. MD indicates mean deviation.

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Figure 4. Model-based change of average global rim area from baseline over time as a function of baseline rim area and presence or lack of visual field progression. The solid lines show change from baseline in the nonprogressing group of eyes (based on the mean deviation event analysis) in eyes with baseline rim area at 25th, 50th, and 75th percentiles of the study sample. The dashed lines show the same factors in eyes with progressing glaucoma according to the mean deviation event criteria. A difference in slope in the same percentile categories would represent a difference in rim progression rates between the progressing and nonprogressing groups. As can be observed, the corresponding lines are all parallel, and none of the differences was statistically significant (P > .05 for all).

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