Abstract
Background: Limited information is known about the topographic effect of optic disc drusen (ODD) on peripapillary retinal nerve fibers and microvasculature.
Objective: This study aims to understand the structural and functional impact of ODD in different quadrants of the optic disc.
Methods: We performed a retrospective case-control study of 22 ODD patients (34 eyes) and 26 controls (33 eyes) to compare optical coherence tomography (OCT) retinal nerve fiber layer (RNFL), OCT angiography (OCTA), and corresponding static perimetry mean deviation (MD) calculated using the modified Garway-Heath map in different quadrants of the optic disc. OCTA was analyzed using custom MATLAB script to measure six parameters in a peripapillary annulus with large vessel removal: vessel area density (VAD), vessel skeleton density (VSD), vessel perimeter index (VPI), vessel complexity index (VCI), flux, and vessel diameter index (VDI).
Results: Quadrant analysis revealed that OCTA VAD and VCI were significantly decreased in superior, nasal, and inferior but not temporal quadrant. RNFL, VSD, and VPI were significantly impacted only in the superior and nasal quadrants. Corresponding visual field MDs in all ODD eyes were not different in the four quadrants, although eyes with MD equal or worse than −5 dB (32%) had worst visual field corresponding to the superior quadrant of the optic disc (inferior arcuate visual field). Structure-structure comparison of OCT and OCTA showed high correlation of RNFL with multiple OCTA measurements in the superior, nasal, and inferior quadrants but not temporal quadrant. Structure-function analysis revealed significant correlation of VAD and VCI and visual field MD in every quadrant, but RNFL was only significantly correlated in the superior and inferior quadrants.
Conclusions: Peripapillary VAD and VCI are decreased in more quadrants than RNFL, supporting the clinical utility of performing OCTA in addition to OCT. Consistent with the most common locations of ODD, five OCT/OCTA measurements (VAD, VCI, RNFL, VSD, VPI) are decreased in the superior and nasal quadrants. OCT/OCTA measurements were significantly impacted in contrast to the relatively mild effect on corresponding visual field MD, consistent with the idea that a decrease in objective structural and vascular measurements occurs without parallel change in subjective visual function in ODD.
Introduction
Optic disc drusen (ODD) is an optic neuropathy characterized by semitranslucent calcified yellowish depositions in the anterior, unmyelinated optic nerve (). They are found in up to 2.0% of the general population (). ODD are often noted incidentally as part of an eye exam, and patients may have no visual symptoms. ODD are most commonly found in the nasal side of the disc in idiopathic as well as syndromic ODD (–). Pathologically, ODD is characterized by deposition of calcified bodies of various sizes ranging from 5 to 1,000 μm, calcified mitochondria in intact axons, as well as in the extracellular space, and abnormal vasculature with enlarged perivascular space ().
Visual field can be normal in ODD eyes or present as arcuate visual field defect or constricted visual field (, –). Visual field loss in ODD can be slowly progressive, most commonly affecting the inferonasal and inferotemporal quadrants (, , ). Visual field defect is worse in those with superficial ODD (). The most common cause of sudden vision loss in ODD is non-arteritic anterior ischemic optic neuropathy (ODD-AION) (–), and this condition is due to vascular compromise at the optic nerve head, possibly due to the compressive effect of the ODD on the optic nerve axons, vasculature, and surrounding structures. Vascular compression or altered autoregulation also leads to increased risk of vascular complications, such as non-arteritic anterior ischemic optic neuropathy, central retinal artery occlusion, central retinal vein occlusion, and peripapillary choroidal neovascularization ().
Studies comparing modern non-invasive ophthalmic imaging led to the recommendation that enhanced depth imaging optical coherence tomography (EDI-OCT) is the gold standard in the diagnosis of ODD (, ). Previous OCT studies also revealed that ODD patients had significantly thinned retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC) for the average RNFL/GCC thickness or in certain quadrants (, ). More recently, OCT angiography (OCTA) has been used to detect microvascular changes in the peripapillary and macular areas in different optic neuropathies () including ODD (). Previous studies found that eyes with ODD had focal microvascular attenuation corresponding to the drusen (–).
Based on en face imaging and OCT, ODD are most commonly located in the nasal and superior optic disc (), which means there are topographic differences in the involvement of the retinal ganglion cell axons at the unmyelinated, anterior optic nerve, and, presumably, their surrounding microvasculature. This location corresponds to the most common visual field deficits in the inferonasal and inferotemporal quadrants (). However, limited information is known about the topographic impact of ODD on peripapillary OCT, OCTA, and visual function. The reason for the nasal and superior localization of ODD is unclear, but previous publications have shown that the seesaw-like distortions of the optic disc as a result of horizontal eye movement, especially with adduction, is present in ODD eyes and likely exert repetitive shearing or strains on the peripapillary tissue, potentially leading to local axonal and vascular impact (). OCT studies have demonstrated that RNFL thickness is significantly decreased in all quadrants except in the temporal quadrant in eyes with ODD ().
The purpose of this study was to perform quadrant analysis of visual field mean deviation and peripapillary OCT and OCTA based on modified Garway-Heath map. Such analysis will determine whether there is differential impact of ODD on peripapillary OCT and OCTA measurements in different quadrants and whether there is high structure-function and structure-structure correlations. Such analysis will help determine whether visual field mean deviation, OCT, and OCTA measurements are differentially affected in different quadrants in this condition with clear topographic differences.
Patients and Methods
Study Design and Participants
We performed a retrospective cross-sectional OCT and OCTA study of consecutive patients with ODD who were evaluated at the Byers Eye Institute at Stanford University Medical Center between January 2016 and April 2020, qualified for the study based on inclusion and exclusion criteria, and had high-quality spectral-domain OCT and OCTA using the same machine (AngioPlex, Model 5000; Carl Zeiss Meditec In., Germany). The study was approved by the Institutional Review Board of Stanford University and adhered to the Declaration of Helsinki and the Health Insurance Portability and Accountability Act.
We recruited 22 patients (34 eyes) with ODD. All subjects had comprehensive ophthalmic examination, including best corrected visual acuity (BCVA) using the Snellen chart to calculate the logarithm of reciprocal decimal visual acuity (logMAR VA), refraction, intraocular pressure, and fundus examination. Patients were included for the study if the diagnosis of ODD was confirmed by color fundus imaging, fundus autofluorescence, and EDI-OCT. We also recruited age- and sex-matched controls, 33 eyes from 26 healthy controls for comparison. The control subjects had BCVA of equal or better than the logMAR VA 0.2, normal intraocular pressure, color vision, normal ocular fundus, no visual field defect, and normal RNFL or GCC thickness. Superficial ODD is defined as visible ODD on the optic disc by ophthalmoscopy, appearing as bright refractile depositions, and buried ODD are ODD that are not visible on ophthalmoscopy (, ). We excluded all patients with history of optic neuropathy other than ODD and those with ophthalmic, neurological, or systemic diseases that may affect the measurements of OCT and OCTA.
OCT and OCTA Acquisition, Processing, and Quantification
OCT and OCTA images were acquired using Cirrus HD-OCT (AngioPlex, Model 5000; Carl Zeiss Meditec In., Germany). We performed the Optic Disc Cube scan pattern acquiring 200 horizontal scan lines each composed of 200 A-scans. The thickness of RNFL was measured on a circle with 3.46 mm diameter centered on the optic disc. The Cirrus HD OCT optic disc protocol generates a map with quadrant RNFL thickness (superior, nasal, inferior, and temporal) (Figure 1E). The 3 × 3 mm2 square scans of the optic disc were obtained using the FastTrac eye tracking system for OCTA imaging. Algorithms for optical microangiography (OMAG)-based automatic segmentation of the raw OCTA data were used to get superficial retinal layer (SRL) en face peripapillary OCTA image (). Only images with signal strength index > 7 were used for analysis. We use validated customized quantification software (coded with MATLAB R2016a; MathWorks, Natick, MA) to quantify OCTA images based on the modification of previous algorithm, and six vessel parameters of the peripapillary retina were obtained the same way as the previous study, including vessel area density (VAD), vessel skeleton density (VSD), vessel perimeter index (VPI), vessel complexity index (VCI), vessel diameter index (VDI), and flux index (, , ). We removed the large vessels from the images and analyzed an annulus with an outer diameter of 2.75 mm and an inner diameter of 1.5 mm centered around the disc. The OCTA parameters in superior, nasal, inferior, and temporal quadrants according to modified Garway-Heath map were measured using the quantification software as shown in Figure 1F.
Figure 1
Visual Field Assessment
Visual field test was evaluated with Humphrey Field Analyzer (Carl Zeiss Meditech, Inc, Dublin, CA) using the standard 24-2 Swedish Interactive Thresholding Algorithm fast strategy. The mean deviation (MD) was automatically calculated by the Humphrey Field Analyzer. Sectorial division of peripapillary region including nasal, inferior, superior and temporal area was performed using Garway-Heath map regionalization (Figure 1D) (
Statistical Analysis
The data were analyzed by SPSS version 23.0 (SPSS Inc., Chicago, IL, USA) and R (R Foundation for Statistical Computing, Vienna, Austria). Quantitative continuous variables were calculated as mean ± standard error (SE) or median (95% confidence interval). A two-tailed Mann-Whitney U test was used to compare the means of two groups of continuous variables. The frequencies of categorical variables were compared using Chi-square test. Kruskal-Wallis H test was performed to determine if there are statistically significant differences among more than two groups of independent variables. Spearman correlation test was performed to determine the correlation between OCT, OCTA, and visual field MD parameters. The correlation coefficients between 0 and 0.3 indicate weak correlation, between 0.3 and 0.7 indicate moderate correlation, and between 0.7 and 1 indicate high correlation. A value of P <0.05 was considered statistically significant.
Results
Demographic and Clinical Characteristics of Patients With Optic Disc Drusen
We performed comparison of static perimetry, OCT, and OCTA in 34 eyes of 22 ODD patients (female:male = 2.14:1) and 33 eyes of 26 controls (Table 1). Of the 22 ODD patients, 12 were bilateral and 10 were unilateral. Twelve eyes (35.3%) had buried drusen, and 22 (64.7%) had superficial ODD. Eyes with ODD and control groups did not differ by age, sex, and LogMAR VA. The mean age of patients with ODD was 43.3 years (range: 13 to 76 years), and controls were 48 years (range: 15 to 77 years). Mean age of patients with buried drusen was 36.8 years (median: 32 years, range: 13 to 65 years), and those with superficial ODD were older with mean age of 46.8 years (median: 48 years, range: 16 to 76 years). On static perimetry, eyes with ODD had a significantly worse MD compared with that of controls [ODD: −4.37 ± 1.00 dB (range: −23.11 to 0.18 dB), control: −0.21 ± 0.13 dB (range: −1.66 to 1.54 dB); P < 0.0001]. Despite this significant difference, the majority of ODD eyes had relatively good average MD (68% of eyes better than −5 dB and 93% better than −10 dB). Eyes with buried ODD had relatively better visual field MD of −1.2 ± 0.17 dB, and eyes with superficial ODD had worse visual field MD of −5.58 ± 1.09 dB. The difference of average MD between normal controls and buried ODD was statistically significant (P = 0.006), so was the difference between buried and superficial ODD (P = 0.006).
Table 1
| Variable | Control (n = 33 eyes) | ODD (n = 34 eyes) | P-valueb |
|---|---|---|---|
| Age (year) | 48.0 ± 3.0 | 43.3 ± 3.3 | 0.273 |
| Sex [n(%)] | 0.153 | ||
| Female | 14 (53.8) | 15 (68.2) | |
| Male | 12 (46.2) | 7 (31.8) | |
| LogMAR VA | 0.01 ± 0.01 | 0.03 ± 0.01 | 0.134 |
| VF MD (dB) | −0.21 ± 0.13 | −4.37 ± 1.00a | <0.0001 |
The demographics parameters of controls and patients (eyes) with optic disc drusen.
LogMAR, logarithm of the minimum angle of resolution; MD, mean deviation; ODD, optic disc drusen; VA, visual acuity; VF, visual field.
Data are expressed as mean ± standard error except sex. Values were compared by Mann–Whitney test. Sex was compared by Fisher's exact test.
Calculated from 29 eyes.
P < 0.05 was considered to be statistically significant. Significant value is shown in bold.
Figure 1 shows ophthalmic imaging and static perimetry of the right eye of a 22-year-old Caucasian man with bilateral ODD. On color fundus imaging, there was a typical lumpy bumpy appearance of the entire optic disc with highly refractile deposits and blurred disc margin. On fundus autofluorescence imaging, there was hyperautofluorescence of the entire optic disc, which corresponded with ODD of variable sizes on OCT B-scan (Figures 1A–C). Peripapillary OCT analysis revealed reduced average RNFL thickness as well as reduced sectoral RNFL thickness of <1%-tile of age-matched controls in the superior quadrant and <5%-tile of age-matched controls in the nasal and temporal quadrants (Figure 1E). To analyze the peripapillary superficial capillary plexus OCTA images, the original images were processed to remove large vessels and overlayed with an annulus region-of-interest (see Methods). We used a custom MATLAB script to calculate six OCTA parameters (
Significant Reduction of OCTA Measurements in More Quadrants Than OCT RNFL
We compared the average peripapillary OCT RNFL and superficial capillary plexus OCTA parameters for all 34 ODD eyes and 32 control eyes. Compared with controls, ODD eyes had significantly thinner RNFL by 12 μm (control: 94.9 ± 1.6 μm, ODD: 82.8 ± 4.2 μm, difference 13%, P < 0.0001). On OCTA, ODD eyes also had significantly lower measurements in VAD (control: 0.48 ± 0.01, ODD: 0.44 ± 0.01, difference 8%, P = 0.007), VSD (control: 0.18 ± 0.00, ODD: 0.17 ± 0.00, difference 6%, P = 0.017), VPI (control: 0.39 ± 0.00, ODD: 0.36 ± 0.01, difference 8%, P = 0.026), and VCI (control: 2,193.5 ± 25.3, ODD: 2,025.3 ± 44.2, difference 8%, P = 0.010). There was no difference in VDI (difference 0%, P = 0.331) or flux (difference 5%, P = 0.110) between controls and ODD groups. Thus, OCT RNFL and OCTA VAD, VSD, VPI, and VCI were the five most useful measurements.
Given ODD is more common in the nasal and superior disc, we analyzed OCT and OCTA measurements in four quadrants of the optic disc and calculated corresponding visual field MD based on modified Garway-Heath map (Figure 1). Quadrant analysis revealed that OCT RNFL thickness was significantly lower in the superior and nasal quadrants but not in the inferior and temporal quadrants in ODD eyes compared with controls (Table 2). Of the four OCTA measurements that were significantly different between ODD and control groups, VCI was the only one that was significantly lower in all quadrants, while VAD—the most commonly calculated measurement in commercial OCTA machines—was significantly reduced in superior, nasal, and inferior but not temporal quadrants (Table 2). VSD and VPI were significantly different between ODD and control groups in superior and nasal quadrants. Although the difference of average flux was not significant, flux measurement in the nasal quadrant was significantly lower in the ODD group compared with controls. There was no difference in VDI in all four quadrants.
Table 2
| Parameter | Control group (n=33) | ODD Group (n=34) | P-valuea | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Superior | Nasal | Inferior | Temporal | Superior | Nasal | Inferior | Temporal | Superior | Nasal | Inferior | Temporal | |
| RNFL (μm) | 118.4 ± 2.7 (119.0, 112.8~123.9) | 72.7 ± 1.7 (72.0, 69.2~76.2) | 123.2 ± 2.1 (122.0, 118.9~127.6) | 66.9 ± 1.9 (65.0, 63.0~70.8) | 94.3 ± 7.3 (90.0, 79.5~109.1) | 59.2 ± 2.5 (54.5, 54.1~64.2) | 110.9 ± 5.8 (115.5, 99.2~122.7) | 64.8 ± 4.0 (64.0, 56.7~72.9) | <0.0001 | <0.0001 | 0.086 | 0.363 |
| Disc VAD | 0.48 ± 0.01 (0.49, 0.47~0.49) | 0.46 ± 0.01 (0.47, 0.44~0.47) | 0.47 ± 0.00 (0.47, 0.46~0.48) | 0.50 ± 0.01 (0.49, 0.48~0.51) | 0.43 ± 0.01 (0.45, 0.41~0.46) | 0.41 ± 0.01 (0.43, 0.39~0.44) | 0.43 ± 0.01 (0.45, 0.40~0.46) | 0.49 ± 0.01 (0.49, 0.47~0.51) | <0.0001 | <0.0001 | 0.025 | 0.975 |
| VSD | 0.18 ± 0.00 (0.18, 0.18~0.19) | 0.18 ± 0.00 (0.18, 0.18~0.19) | 0.17 ± 0.00 (0.16, 0.16~0.18) | 0.19 ± 0.00 (0.19, 0.19~0.20) | 0.17 ± 0.00 (0.17, 0.16~0.17) | 0.16 ± 0.00 (0.17, 0.15~0.17) | 0.16 ± 0.01 (0.17, 0.15~0.17) | 0.18 ± 0.00 (0.19, 0.17~0.19) | 0.001 | 0.002 | 0.771 | 0.697 |
| VPI | 0.39 ± 0.00 (0.39, 0.38~0.40) | 0.39 ± 0.00 (0.39, 0.38~0.40) | 0.36 ± 0.01 (0.35, 0.35~0.37) | 0.41 ± 0.00 (0.41, 0.40~0.42) | 0.36 ± 0.01 (0.36, 0.34~0.37) | 0.35 ± 0.01 (0.37, 0.33~0.37) | 0.35 ± 0.01 (0.36, 0.33~0.37) | 0.39 ± 0.01 (0.41, 0.38~0.41) | 0.002 | 0.001 | 0.816 | 0.631 |
| VCI | 485.9 ± 5.6 (485.3, 474.5~497.3) | 642.9 ± 12.1 (632.9, 618.4~667.5) | 471.9 ± 5.5 (472.5, 460.6~483.1) | 592.8 ± 7.3 (599.0, 578.0~607.6) | 439.0 ± 11.9 (455.1, 414.7~463.3) | 587.8 ± 16.1 (603.9, 555.0~620.6) | 431.0 ± 12.9 (454.6, 404.7~457.3) | 567.4 ± 8.3 (577.0, 550.6~584.3) | 0.001 | 0.022 | 0.012 | 0.022 |
| VDI | 17.90 ± 0.08 (17.85, 17.73~18.07) | 18.04 ± 0.09 (18.11, 17.86~18.23) | 17.86 ± 0.08 (17.84, 17.70~18.02) | 18.08 ± 0.09 (18.11, 17.90~18.26) | 17.84 ± 0.12 (17.72, 17.60~18.08) | 17.93 ± 0.09 (17.81, 17.75~18.12) | 18.02 ± 0.12 (17.82, 17.77~18.27) | 17.97 ± 0.10 (17.97, 17.78~18.16) | 0.422 | 0.212 | 0.787 | 0.360 |
| Flux | 0.48 ± 0.01 (0.50, 0.46~0.50) | 0.46 ± 0.01 (0.45, 0.43~0.48) | 0.50 ± 0.01 (0.51, 0.48~0.51) | 0.47 ± 0.01 (0.46, 0.45~0.50) | 0.46 ± 0.01 (0.45, 0.44~0.48) | 0.42 ± 0.01 (0.42, 0.40~0.45) | 0.48 ± 0.01 (0.50, 0.45~0.50) | 0.45 ± 0.01 (0.45, 0.43~0.48) | 0.306 | 0.025 | 0.428 | 0.379 |
Differences in parapapillary OCT and OCTA parameters by quadrants between controls and eyes with optic disc drusen.
RNFL, retinal nerve fiber layer; VAD, vessel area density; VCI, vessel complexity density; VDI, vessel diameter index; VPI, vessel perimeter density; VSD, vessel skeleton density.
Data are presented as mean ± standard error (median, 95% confidence interval).
Mann-Whitney U test, P-value <0.05 was considered to be statistically significant. Significant values are shown in bold.
Comparing ODD and control eyes numerically, in the superior and nasal quadrants, RNFL thickness was lower by 20 and 19%, respectively; VAD by 10 and 11%; VSD by 6 and 11%; VPI by 8 and 10%; and VCI by 10 and 9%. In the inferior quadrant, only two OCTA measurements (VAD by 9%, VCI by 9%) were significantly decreased compared with that of the controls. Despite 10% relatively lower RNFL thickness in the inferior quadrant in the ODD group, there was no significant different compared with that of control. In the temporal quadrant, only VCI was significantly decreased in ODD eyes (by 4%). Taken together, nasal and superior quadrants—where ODD were most commonly found—were most affected in ODD eyes, with significant thinning of RNFL thickness and significant reduction of at least four out of six OCTA measurements (VAD, VSD, VPI, VCI, and flux but not VDI) compared with controls (Table 2). Thus, VCI and VAD appeared to be the most useful measurements given a significant decrease in the ODD eyes compared with controls in at least three quadrants, while RNFL, VSD, and VPI were significantly decreased in the superior and nasal quadrants—the quadrants most commonly affected in ODD.
Despite these relatively greater decrements in peripapillary OCT and OCTA parameters in the superior and nasal quadrants, visual field MD (recalculated to reflect MD for each quadrant according to the modified Garway-Heath map; see section “Methods” and Figure 1) was the same in the four quadrants (P = 0.478). The average MD in each of the superior, nasal, and inferior quadrant in the ODD group were −3 dB, while the average MD in the temporal quadrant was −2 dB. Since ODD eyes are known to exhibit an asymmetric pattern of visual field defect localizing to the optic nerve head, this similarity of recalculated MD among four quadrants was unexpected. However, further analysis revealed that 68% of ODD eyes had MD better than −5 dB, and examination of the 32% of eyes with average MD equal or worse than −5 dB revealed that there was clear asymmetry of visual field MD with worse visual field (from worst to best) in the inferior > superior > temporal > nasal visual fields.
Correlation of OCT, OCTA, and Corresponding Visual Field Mean Deviation in Quadrants
We performed structure-structure correlation of quadrant measurements of peripapillary OCT RNFL and five most useful OCTA measurements (OCTA VAD, VSD, VPI, and flux) (Figure 2 and Supplementary Figure 1). We found that, in general, OCTA measurements in the superior, nasal, and inferior quadrants were more strongly correlated with RNFL than that of the temporal quadrant. In the superior, inferior, and nasal quadrants, RNFL was moderately correlated with all five OCTA measurements (VAD, VCI, VSD, VPI, flux). In the temporal quadrant, only VAD, VPI, and flux were moderately correlated with RNFL.
Figure 2

Structure-function and structure-structure correlation matrix heatmap of static perimetry mean deviation and corresponding quadrant measurements of OCT RNFL and six peripapillary OCTA parameters in (A) superior, (B) nasal, (C) inferior, and (D) temporal quadrants. Note OCT/OCTA superior quadrant corresponds to the inferior visual field. S, superior quadrant; T, temporal quadrant; I, inferior quadrant, N, nasal quadrant. VAD, vessel area density; VCI, vessel complexity index, VDI, vessel diameter index; VPI, vessel perimeter index; VSD, vessel skeleton density.
We also performed structure-function correlation using visual field MD for each quadrant, OCT RNFL, and five OCTA measurements (VAD, VCI, VSD, VPI, flux). We found that MD was weakly or moderately correlated with RNFL and OCTA measurements (VAD, VCI, VSD, VPI) in the superior and inferior quadrants, relatively less in the nasal quadrant (VAD, VCI, VSD, VPI), and not in the temporal quadrant (Figure 2 and Supplementary Figure 1). For example, corresponding inferior visual field MD was highly and significantly correlated with superior quadrant RNFL, VAD, VCI, VSD, and VPI, and corresponding temporal visual field MD was highly correlated with nasal quadrant VAD, VCI, VSD, and VPI. Thus, quadrant analysis revealed that there was significant structure-function correlation in the superior and nasal quadrants, despite only a slight MD decrement in all quadrants.
Discussion
In vivo ophthalmic imaging using OCT and OCTA provides valuable, non-invasive structural and vascular measurements of the optic nerve in patients with ODD. Given that ODD typically impact the nasal and superior optic disc disproportionately, we performed a detailed quadrant analysis of peripapillary OCT and OCTA measurements and corresponding visual field MD per Garway-Heath map in order to understand which measurements at each quadrant are most impacted in ODD. We found that OCTA VAD and VCI are significantly decreased in superior, nasal, and inferior quadrants in ODD eyes compared with controls, making them potentially the best OCTA measurements in control vs. ODD disease classification. OCT RNFL and two other OCTA measurements (VSD, VPI) are significantly affected in the superior and nasal quadrants—parts of the optic disc most affected in ODD. Despite these topographic differences in OCT RNFL and OCTA quadrants, corresponding visual field MD was similarly and mildly decreased because the majority of ODD eyes had relatively good visual function in our study. Subgroup analysis of eyes with average MD equal or worse than −5 dB revealed that the superior quadrant of the optic disc (inferior arcuate visual field) had the worst corresponding MD and that the temporal quadrant of the optic disc (includes the four paracentral points) had the best corresponding MD, consistent with the most common visual field pattern in ODD—altitudinal visual field defect with good central/paracentral vision. Our data show that in ODD-associated optic neuropathy, decrease in peripapillary OCT RNFL and OCTA can occur without parallel, measurable change in visual function. Our findings provide support to the diagnostic utility of performing peripapillary OCTA analysis in addition to OCT RNFL and suggest that future larger studies should investigate the sensitivity of objective measurements like OCT and OCTA since they may be more sensitive diagnostic indicators of optic neuropathy than subjective measurements like luminance-based perimetry.
OCTA is a novel technology that is increasingly utilized in assessment of patients with visual dysfunction due to neuro-ophthalmic diseases (
Our study demonstrates the utility of peripapillary vessel area density as a valuable measurement, which has been previously reported in ODD and many other optic neuropathies (
Structure-structure and structure-function correlation analyses are useful for diagnosis and tracking the progression. We found that OCT RNFL and many OCTA quadrant measurements, especially VAD and flux, were significantly correlated with each other in quadrants. Engelke et al. found the RNFL had high significant positive correlation with peripapillary capillary vessel density (
There are several limitations in this study. This is a small, retrospective study, and a larger, prospective study, ideally with serial visual field, OCT, and OCTA measurements, are needed, in order to provide strong evidence of the importance of quadrant analysis. Such study, performed with large vessel removal, can identify which of these OCT and OCTA measurements can be best diagnostic or prognostic biomarkers in future ODD clinical trials. Another caveat of our study is the age of the patients, since we primarily focused on the adult population. A study using quadrant analysis in the pediatric population can determine whether quadrant analysis is more sensitive to detect regional changes in evolving ODD patients, especially as ODD enlarge and migrate superficially with age. Another technical limitation is the differences in region of interest used to calculate peripapillary OCT RNFL and OCTA. OCT RNFL was segmented on a circular B-scan with 3.46 mm diameter centered on the optic disc, while OCTA of the superficial capillary plexus was measured using en face 3 × 3 images of an annulus with an outer diameter of 2.75 mm and an inner diameter of 1.5 mm centered around the disc (6 × 6 mm image are not as high resolution for vascular analysis). In addition, there are slight differences in the quadrant regions of interest between OCT and OCTA, since OCT RNFL quadrants were calculated using automatic segmentation and commercial software, while OCTA quadrants were divided according to the Garway-Heath map. While not exactly matching, these are reasonably good peripapillary OCT and OCTA measurements for quadrant analysis and comparisons. Although we did not systematically measure refractive error and axial length as contributing factors in this study, high myopic patients had been ruled out, and all the OCT B-scans indicated normal ocular axial length.
Conclusions
Our study showed that ODD eyes exhibit particularly lower peripapillary RNFL thickness, VAD and VCI in the nasal and superior quadrants, consistent with the predominance of ODD in the nasal superior disc. Although this regional difference of OCT and OCTA measurements was thought to correspond to the progressive inferonasal and inferotemporal pattern of visual field defect, we found that there was similarly mild visual field MD in all quadrants per modified Garway-Heath map. Overall, many OCTA measurements highly correlated with VAD and VCI, so these two measurements are likely sufficient to segregate ODD from control eyes. Our data support a model of progression of changes in ODD, first affecting OCTA, then OCT, then visual field.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by Institutional Review Board of Stanford University. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.
Author contributions
YY and YL contributed to the conception or design of the work and made acquisition, analysis, and interpretation of data for the work. XZ, ZC, LS, MS, and RW contributed to the acquisition, analysis, and interpretation of data for the work. YY, XZ, ZC, LS, MS, RW, and YL drafted the manuscript, critically reviewed the manuscript for important intellectual content, approved the final version of the manuscript, and agreed to be accountable to all aspects of this work ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by Stanford Center for Optic Disc Drusen, the National Eye Institute (R01EY028753), and unrestricted grant from Research Preventing Blindness. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors alone are responsible for the content and writing of the paper.
Conflict of interest
Although RW and ZC were not directly involved in data analysis in this study, they did have important disclosures related to OCTA analysis algorithm. RW has intellectual property owned by the Oregon Health and Science University and the University of Washington related to OCT angiography, which are licensed to commercial entities and related to the technology and analysis methods used in this manuscript. RW also receives research support from Carl Zeiss Meditec, Inc and Moptim Inc. RW is a consultant to Carl Zeiss Meditec, Inc. and Insight Photonic Solutions. ZC has intellectual property owned by the University of Washington related to OCT angiography, which are related to the technology and analysis methods described in this manuscript. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2021.666359/full#supplementary-material
Supplementary Figure 1The correlation coefficients and p values of correlation matrix heatmap shown in Figure 2, which demonstrate the correlation of static perimetry mean deviation and quadrant measurements of OCT RNFL and six OCTA parameters in (A) superior (B) nasal, (C) inferior, and (D) temporal quadrants. The correlation coefficients between 0 and 0.3 indicate weak correlation, between 0.3 and 0.7 indicate moderate correlation, and between 0.7 and 1 indicate high correlation. Asterisk, the correlation is statistically significant. S, superior quadrant; T, temporal quadrant; I, inferior quadrant; N, nasal quadrant; VAD, vessel area density; VCI, vessel complexity index; VDI, vessel diameter index; VPI, vessel perimeter index; VSD, vessel skeleton density.
- BCVA
best corrected visual
- EDI-OCT
enhanced-depth OCT
- MD
mean deviation
- OCT
optical coherence tomography
- OCTA
OCT angiography
- ODD
optic disc drusen
- VAD
vessel area density
- VCI
vessel complexity index
- VDI
vessel diameter index
- VPI
vessel perimeter index
- VSD
vessel skeleton density.
Abbreviations
References
1.
Auw-HaedrichCStaubachFWitschelH. Optic disk drusen. Surv Ophthalmol. (2002) 47:515–32. 10.1016/s0039-6257(02)00357-0
2.
HamannSMalmqvistLCostelloF. Optic disc drusen: understanding an old problem from a new perspective. Acta Ophthalmol. (2018) 96:673–84. 10.1111/aos.13748
3.
LorentzenSE. Drusen of the optic disk. A clinical and genetic study. Acta Ophthalmol. (1966) (Suppl 90):1–180.
4.
SatoTMrejenSSpaideRF. Multimodal imaging of optic disc drusen. Am J Ophthalmol. (2013) 156:275–82. e1. 10.1016/j.ajo.2013.03.039
5.
PipelartVLerouxBLeruezSHenniSNavasiolavaNMartinLet al. A study of optic nerve head drusen in 38 pseudoxanthoma elasticum (PXE) patients (64 eyes). Location of optic nerve head drusen in PXE. J Fr Ophtalmol. (2019) 42:262–8. 10.1016/j.jfo.2018.08.007
6.
TsoMO. Pathology and pathogenesis of drusen of the optic nervehead. Ophthalmology. (1981) 88:1066–80.
7.
MalmqvistLWegenerMSanderBAHamannS. Peripapillary retinal nerve fiber layer thickness corresponds to drusen location and extent of visual field defects in superficial and buried optic disc drusen. J Neuroophthalmol. (2016) 36:41–5. 10.1097/WNO.0000000000000325
8.
FledeliusHC. Optic disc drusen: longitudinal aspects, with emphasis on visual field constriction and enlarged blind spot: a retrospective hospital-based clinical series. Eur J Ophthalmol. (2017) 27:372–8. 10.5301/ejo.5000864
9.
LeeKMWooSJHwangJM. Factors associated with visual field defects of optic disc drusen. PLoS ONE. (2018) 13:e0196001. 10.1371/journal.pone.0196001
10.
LeeAGZimmermanMB. The rate of visual field loss in optic nerve head drusen. Am J Ophthalmol. (2005) 139:1062–6. 10.1016/j.ajo.2005.01.020
11.
MalmqvistLLund-AndersenHHamannS. Long-term evolution of superficial optic disc drusen. Acta Ophthalmol. (2017) 95:352–6. 10.1111/aos.13315
12.
HamannSMalmqvistLWegenerMBiousseVBursztynLCitirakGet al. Young adults with anterior ischemic optic neuropathy: a multicenter optic disc drusen study. Am J Ophthalmol. (2020) 217:174–181. 10.1016/j.ajo.2020.03.052
13.
FraserJARuelokkeLLMalmqvistLHamannS. Prevalence of optic disc drusen in young patients with non-arteritic anterior ischemic optic neuropathy: a 10-year retrospective study. J Neuroophthalmol. (2020). 10.1097/WNO.0000000000000974. [Epub ahead of print].
14.
YanYLiaoYJ. Updates on ophthalmic imaging features of optic disc drusen, papilledema, and optic disc edema. Curr Opin Neurol. (2021) 34:108–15. 10.1097/WCO.0000000000000881
15.
MalmqvistLBursztynLCostelloFDigreKFraserJAFraserCet al. The optic disc drusen studies consortium recommendations for diagnosis of optic disc drusen using optical coherence tomography. J Neuroophthalmol. (2018) 38:299–307. 10.1097/WNO.0000000000000585
16.
MerchantKYSuDParkSCQayumSBanikRLiebmannJMet al. Enhanced depth imaging optical coherence tomography of optic nerve head drusen. Ophthalmology. (2013) 120:1409–14. 10.1016/j.ophtha.2012.12.035
17.
GiliPFlores-RodriguezPMartin-RiosMDCarrascoFont C. Anatomical and functional impairment of the nerve fiber layer in patients with optic nerve head drusen. Graefes Arch Clin Exp Ophthalmol. (2013) 251:2421–8. 10.1007/s00417-013-2438-9
18.
CasadoARebolledaGGuerreroLLealMContrerasIOblancaNet al. Measurement of retinal nerve fiber layer and macular ganglion cell-inner plexiform layer with spectral-domain optical coherence tomography in patients with optic nerve head drusen. Graefes Arch Clin Exp Ophthalmol. (2014) 252:1653–60. 10.1007/s00417-014-2773-5
19.
PujariABhaskaranKSharmaPSinghPPhuljheleSSaxenaRet al. Optical coherence tomography angiography in neuro-ophthalmology: Current clinical role and future perspectives. Surv Ophthalmol. (2020) 66:471–81. 10.1016/j.survophthal.2020.10.009
20.
YanYZhouXChuZStellLShariatiMAWangRKet al. Vision loss in optic disc drusen correlates with increased macular vessel diameter and flux and reduced peripapillary vascular density. Am J Ophthalmol. (2020) 218:214–24. 10.1016/j.ajo.2020.04.019
21.
Flores-ReyesEHoskensKMansouriK. Optic Nerve Head Drusen: Imaging Using Optical Coherence Tomography Angiography. J Glaucoma. (2017) 26:845–9. 10.1097/IJG.0000000000000730
22.
GaierEDRizzoJF 3rdMillerJBCestariDM. Focal capillary dropout associated with optic disc drusen using optical coherence tomographic angiography. J Neuroophthalmol. (2017) 37:405–10. 10.1097/WNO.0000000000000502
23.
LindbergAWDahlVAKarlesandIRuelokkeLLMalmqvistLHamannS. Determination of peripapillary vessel density in optic disc drusen using EDI-OCT and OCT angiography. Exp Eye Res. (2020) 197:108123. 10.1016/j.exer.2020.108123
24.
SibonyPAWeiJSigalIA. Gaze-evoked deformations in optic nerve head drusen: repetitive shearing as a potential factor in the visual and vascular complications. Ophthalmology. (2018) 125:929–37. 10.1016/j.ophtha.2017.12.006
25.
RohSNoeckerRJSchumanJSHedgesTR3rdWeiterJJMattoxC. Effect of optic nerve head drusen on nerve fiber layer thickness. Ophthalmology. (1998) 105:878–85. 10.1016/S0161-6420(98)95031-X
26.
MalmqvistLLindbergAWDahlVAJorgensenTMHamannS. Quantitatively measured anatomic location and volume of optic disc drusen: an enhanced depth imaging optical coherence tomography study. Invest Ophthalmol Vis Sci. (2017) 58:2491–7. 10.1167/iovs.17-21608
27.
RichterGMSylvesterBChuZBurkemperBMadiIChangRet al. Peripapillary microvasculature in the retinal nerve fiber layer in glaucoma by optical coherence tomography angiography: focal structural and functional correlations and diagnostic performance. Clin Ophthalmol. (2018) 12:2285–96. 10.2147/OPTH.S179816
28.
WangRKJacquesSLMaZHurstSHansonSRGruberA. Three dimensional optical angiography. Opt Express. (2007) 15:4083–97. 10.1364/oe.15.004083
29.
ChuZLinJGaoCXinCZhangQChenCLet al. Quantitative assessment of the retinal microvasculature using optical coherence tomography angiography. J Biomed Opt. (2016) 21:66008. 10.1117/1.JBO.21.6.066008
30.
Garway-HeathDFPoinoosawmyDFitzkeFWHitchingsRA. Mapping the visual field to the optic disc in normal tension glaucoma eyes. Ophthalmology. (2000) 107:1809–15. 10.1016/s0161-6420(00)00284-0
31.
EngelkeHShajariMRiedelJMohrNPriglingerSGMackertMJ. OCT angiography in optic disc drusen: comparison with structural and functional parameters. Br J Ophthalmol. (2020) 104:1109–13. 10.1136/bjophthalmol-2019-314096
32.
AbriAghdam KAshrafKhorasani MSoltanSanjari MHabibiAShenazandiHKazemiPet al. Optical coherence tomography angiography features of optic nerve head drusen and non-arteritic anterior ischemic optic neuropathy. Can J Ophthalmol. (2019) 54:495–500. 10.1016/j.jcjo.2018.08.002
33.
Alarcon-TomasMKudsiehBLopez-FrancaECCohenYRuiz-MorenoJM. Microvascular alterations in children with optic disk drusen evaluated by optical coherence tomography angiography. Graefes Arch Clin Exp Ophthalmol. (2020) 259:769–76. 10.1007/s00417-020-04970-8
34.
MalmqvistLdeSantiago LBoqueteLHamannS. Multifocal visual evoked potentials for quantifying optic nerve dysfunction in patients with optic disc drusen. Acta Ophthalmol. (2017) 95:357–62. 10.1111/aos.13347
Summary
Keywords
optic disc drusen, optical coherence tomography, optical coherence tomography angiography, vessel area density, retinal nerve fiber layer, visual field
Citation
Yan Y, Zhou X, Chu Z, Stell L, Shariati MA, Wang RK and Liao YJ (2021) Topographic Quadrant Analysis of Peripapillary Superficial Microvasculature in Optic Disc Drusen. Front. Neurol. 12:666359. doi: 10.3389/fneur.2021.666359
Received
10 February 2021
Accepted
29 March 2021
Published
19 May 2021
Volume
12 - 2021
Edited by
Piero Barboni, Studio Oculistico d'Azeglio, Italy
Reviewed by
Steffen Hamann, Rigshospitalet, Denmark; Giacinto Triolo, San Raffaele Hospital (IRCCS), Italy
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Copyright
© 2021 Yan, Zhou, Chu, Stell, Shariati, Wang and Liao.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yaping Joyce Liao yjliao@stanford.edu
This article was submitted to Neuro-Ophthalmology, a section of the journal Frontiers in Neurology
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