Background
Glaucoma is globally ranked the second most common cause of blindness [
1]. Early detection is of utmost importance for glaucomatous eyes, and using conventional retinal nerve fiber layer (RNFL) photograph to evaluate localized retinal nerve fiber layer defects (RNLFD) is a tool of choice for detecting early glaucomatous eyes when optical coherence topography (OCT) is unavailable. However, there is a lack of established quantitative analysis using RNFL photograph.
Woo et al. previously established a convenient quantitative method for analyzing localized RNFL defect using RNFL photograph by measuring the angles around the disc [
2]. They first defined the reference line as the line between the macula center and the optic disc center. Angle α is the angular width between the reference line and the proximity of RNFL defect, while angle β (+c) is the sum of angular width(s) of localized RNFL defect. This method was then used to compare different etiologies of various types of glaucoma [
2,
3]. The idea was built upon the assumption that localized RNFLD or the optic nerve head configuration [
4‐
7] is somehow correlated with the visual field defect, but the validity of such correlation has not been verified.
There are several implications in validating such quantitative method. Firstly, if the sum of the angular width of the localized RNFL defect, or angle β (+c), is indeed correlated with visual field defect, the severity of visual field defect can be predicted by the morphological defect of localized RNFL. Secondly, if the angular width between the reference line and the proximity of RNFL defect, or angle α, is correlated with central scotoma, we may use this as an indicator for earlier or more aggressive treatment [
8] since central visual field defect drastically affects patient’s life quality [
9]. In fact, patients with central visual field defect are associated with reading difficulty [
10], worsening of driving performance [
11], and are at greater risk of visual acuity loss [
12]. The verified method can possibly be adopted as a new parameter in optical coherence tomography (OCT). Moreover, this method can be popularly implemented in local clinics and developing countries without OCT.
Thus, this study aims to confirm the correlation between the localized RNFL angle defect and the visual field defect.
Results
A total of 38 glaucomatous eyes of 227 patients were enrolled for this cross-sectional analysis with the mean age of 59.0 ± 8.8 years. Baseline characteristics were listed in Table
1. Participants were of early glaucoma defects with an average visual field MD of − 4.7 ± 3.2 dB and an average RNFL thickness of 76.1 ± 16.3 μm. The mean of angle α and angle β (+c) was 41.1 ± 17.2 and 53.8 ± 20.4. Spearman’s rank correlation test was used to analyze the correlation of angle α with the presence of central scotoma (
P = 0.82) and average total macular thickness (
P = 0.21) and no correlations were found. In Table
2, angle β (+c) was significantly correlated with MD (
P = 0.007), PSD (
P = 0.02), VFI (
P = 0.03), and average RNFL thickness (
P = 0.03).
Table 1Baseline characteristics of the participants
Right eyes | 17 (44.7) |
Age (yr) | 59.0 (8.8) |
Male | 22 (57.9) |
Spherical Equivalence (D) | −0.5 (2.6) |
Angle α (degrees) | 41.1 (17.2) |
Angle β + c (degrees) | 53.8 (20.4) |
Intraocular Pressure (mmHg) | 14.8 (4.1) |
Humphrey field analyzer 30–2 |
Visual Field Index (%) | 90.0 (9.8) |
Fixation Losses | 5.7 (6.2) |
False Positive Errors (%) | 1.4 (1.7) |
False Negative Errors (%) | 2.1 (2.9) |
Visual Field MD (dB) | −4.7 (3.2) |
Visual Field PSD (dB) | 6.1 (4.4) |
Presence of Central Scotoma | 26 (68.4) |
Spectralis optical coherence tomography |
Average RNFL Thickness (μm) | 76.1 (16.3) |
Average total macular thickness (μm) | 269.3 (16.4) |
Table 2Correlation between localized retinal nerve fiber layer defect angle β (+c) and visual field defect parameters, and average retinal nerve fiber layer thickness
Angle β + c | R (95% CI) | −0.428 (−1.17–0.73) | 0.366 (− 0.45–1.39) | −0.364 (− 0.79–1.69) | −0.350 (− 0.65–0.216) |
| P | 0.007 | 0.02 | 0.03 | 0.03 |
As for the angular measurements of RNLFD relative to the sectoral RNFL thickness, Spearman’s rank correlation test was used to analyze their correlation and found that they were negative correlated significantly (
P = 0.01). Further analysis on the correlation between OCT sectoral RNFL defect and the severity of visual field defect (Table
3) showed no significant correlation with MD (
P = 0.34), PSD (
P = 0.41), and VFI (
P = 0.14). We then analyzed the correlation of global (average) RNFL thickness with the visual field parameters (Table
2) and found that average RNFL thickness was significantly correlated with MD (
P = 0.000), PSD (
P = 0.003), and VFI (
P = 0.001).
Table 3Correlation among visual field defect parameters, localized retinal nerve fiber layer defect angle β (+c), sectoral, and average retinal nerve fiber layer thickness
Sectoral | R | 0.161 | −0.136 | 0.245 |
RNFLT | P | 0.34 | 0.41 | 0.14 |
Average | R | 0.659 | −0.469 | 0.510 |
RNFLT | P | 0.000 | 0.003 | 0.001 |
Discussion
In this study, we found that the extent of localized RNFL angle defect is positively correlated with the visual field defect. This method not only benefits countries where OCTs are not available but also has the potential to be implemented as a new parameter for OCT in developed countries.
Several studies have already shown that RNFL thickness can be noticed earlier than visual field defect during early stages of glaucoma [
18,
19]. The correlation between the structural damage of RNFL thickness and functional damage of the visual field has also been identified in multiple studies [
13,
20‐
22]. In addition, Sommer et al. previously identified a 60% rate of structural RNFL abnormality 5 years before visual field loss, which suggested RNFL defect as a very early indicator of glaucoma [
23]. The above evidences acknowledged the diagnostic value of structural RNFL abnormalities in early glaucoma, but unlike RNLF thickness, localized RNFL defect lacks a method of quantitative analysis. In this study, we showed that the measurement of RNFL angle defect around the disc proposed by Woo et al. [
2] is an effective way to estimate the severity of visual field defect. It is also worth mentioning that the strength of our study depends on the reliability of visual field defect parameters after screening with the strict exclusion criteria we have imposed.
In regard to angle α, we did not find significant correlation with the presence of central scotoma. Recall that angle α is the angular width between the reference line and the proximity of RNFL defect. Hence, it makes sense that the smaller the angle α, the closer the RNFL defect is relative to the central vision and cause central visual defect. We proposed four possible explanations for the lack of correlation. Firstly, some studies suggested that RNFL thickness loss is significantly correlated with more circumferential visual field loss but is not correlated with the central visual field loss [
24,
25]. Secondly, early glaucomatous optic nerve damages precede visual loss most of the time [
23,
26]. Thirdly, the presence of central scotoma was identified based on 30–2 visual fields using the criteria we proposed instead of using 10–2 visual fields, of which we lack. This deficit in accurately defining central scotoma may have caused the lack of correlation. Fourthly, from a physiological standpoint, central RNFL lesion is closer to the origin of retinal vessels and may thereby receive more nutritional support, stronger cellular reinforcements, and thus develop more visual field compensation as compared to peripheral RNFL. Altogether, we believe that there may be correlation between angle α and the presence of central scotoma, but the timing of ocular examination and the definition of central scotoma may have concealed the underlying correlation in this study.
We further evaluated whether our method is comparable to that of the OCT in reflecting the severity of visual field defect through Spearman’s rank correlation test. Sectoral RNFL thickness of the OCT, which were adjusted whether it was superior temporal, inferior temporal, or combined accordingly to the RNFL defect, showed no significant correlation with visual field parameters. This suggested that our method has noninferior correlation with visual field parameters as compared to that of the OCT’s sectoral RNFL thickness. We then analyzed the correlation of global (average) RNFL thickness with the visual field parameters for the purpose of positive control and found that average RNFL thickness was significantly correlated with the visual field parameters. This suggested that in regard to the correlation with visual field parameters, our method is noninferior to OCT’s sectoral RNFL thickness and slightly inferior to the average RNFL thickness. All in all, the angular measurement of RNFLD via RNFL photograph is comparable to the average RNFL thickness of the OCT in reflecting the severity of visual field defect.
There were some limitations in our study. First, the subjectivity of angle measurements using ImageJ software limits the applicability, but this technique may be valuable if it is encompassed as one of the parameters of the OCT in the future. Second, inclusion rate is low due to high RNFL photography quality requirements. Third, the data of our participants were collected from a single medical center, which results in selection bias. Fourth, the results of visual field tests in this study were all based on 30–2 visual fields. Thus, minor visual field defects may be present under 10–2 visual fields that were undetectable via 30–2 visual fields. Fourth, diabetes and hypertension may be related to RNFLD, but we did not particularly exclude the above systemic diseases since we only seek to identify the correlation of the parameters.
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