Abstract
Aims
To compare the circumpapillary and macular vessel density (cpVD/mVD) of eyes with temporal visual field (VF) defect and band atrophy (BA) of the optic nerve and normal controls using OCTA and to verify the association of VD parameters with circumpapillary retinal nerve fibre layer (cpRNFL) thickness, macular ganglion cell complex (mGCC) thickness and VF loss.
Methods
Thirty-three eyes of 26 patients with BA and 42 eyes of 22 age-matched normal controls underwent OCT + OCTA scanning. cpVD and cpRNFL were expressed as average and sector measurements. mVD and mGCC were calculated as averages and in quadrants and hemiretinas. VF loss was estimated using the 24-2 and the 10-2 protocols. Generalized estimated equation models were used for comparisons and area under the receiver operating characteristics (AROC) were calculated.
Results
Compared with controls, BA eyes displayed smaller average cpVD and mVD values (p < 0.001 and AROC = 0.91 for both). Sectorial measurements were also reduced, especially the nasotemporal sector average cpVD (p < 0.001 and AROC = 0.96) and the nasal retina mVD measurements (p < 0.001 and AROC = 0.93). cpVD and mVD correlated strongly with corresponding cpRNFL and mGCC thickness measurements in affected regions (r range: 0.67–0.78 and 0.56–0.76, respectively). Similarly, cpVD and mVD parameters correlated significantly with corresponding VF loss (r range: 0.45–0.68).
Conclusions
cpVD and mVD are significantly reduced in BA eyes compared with controls and are strongly correlated with retinal neural and VF loss. cpVD and mVD reduction on OCTA could serve as a surrogate for retinal neural loss in compressive optic neuropathy and might be useful in its management.
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Introduction
Optical coherence tomography (OCT) is now widely used to detect and quantify retinal axonal loss in glaucoma and a number of other optic pathway diseases [1,2,3,4]. More recently, OCT angiography (OCTA), a technology that maps retinal and optic nerve microcirculation, was developed and revolutionized the assessment of retinal vascular diseases [5]. Moreover, studies have shown that OCTA-measured retinal circumpapillary and macular vessel density (cpVD/mVD) can be affected even in patients with nonprimarily vascular optic nerve diseases including glaucoma, inflammatory and hereditary optic neuropathies [6,7,8,9,10]. In many such conditions, however, a contributing vascular component is suspected in the pathogenesis [8, 10, 11], making it difficult to distinguish primary vascular compromise from vascular reduction secondary to retinal neural loss.
Patients with chiasmal lesions may provide an important model to evaluate whether retinal axonal damage is associated with retinal VD reduction. Eyes with temporal hemianopia from chiasmal compression experience preferential damage to axons originating in the nasal hemiretina (which cross in the chiasm) and develop optic nerve head (ONH) fibre loss in a pattern known as band atrophy (BA) of the optic nerve, with axonal loss affecting predominantly the nasal and temporal quadrants of the optic disc [12]. Retinal neural loss tends to affect the nasal and leave the temporal hemiretina relatively preserved [13, 14]. Because the lesion occurs at the chiasm, there is no indication of primary vascular involvement in the eye.
In this study, we used OCTA to quantitatively assess average and sector cpVD as well as average, quadrantic and hemiretinal mVD in patients with BA from chiasmal compression and temporal visual field (VF) defects and compared with controls. We also assessed the correlation of VD with VF defect and retinal axonal loss expressed as thinning of the circumpapillary retinal nerve fibre layer (cpRNFL) and the macular ganglion cell complex (mGCC).
Materials and methods
This prospective, cross-sectional study included 33 eyes from 26 patients (11 female) with BA and temporal VF defects from previously treated suprasellar tumours (24 pituitary adenoma and 2 craniopharyngioma) and 42 eyes from 22 (13 female) controls. All patients were imaged using MRI scanning to confirm chiasmal compression at the time of diagnosis and to document effective decompression after treatment. Patients had stable VF defects for at least 6 months prior to study entry. Assuming that healthy controls have mVD of 41.2 ± 3.4% [7], 24 eyes for each group could permit demonstrating a difference of at least 10% of mVD with a power of 80% and a confidence of 95%. Sample size was estimated to compare the two groups, assuming a two-tailed test. We enroled 33 eyes from patients and 42 from controls in order to account for differences in study populations and instrumentation.
Subjects underwent a complete ophthalmologic examination, including VF examination. Among the inclusion criteria were best-corrected VA ≥ 20/30 in the study eye, refractive error within ±5 dioptres for the more ametropic meridian and intraocular pressure <21 mmHg. Exclusion criteria were: media opacities, history of other optic neuropathies, retinal diseases, clinical signs of glaucoma, optic disc anomalies, a history of alcohol abuse, tobacco, diabetes mellitus or arterial hypertension treated with more than three antihypertensive medications.
In 19 patients, only one eye met the inclusion criteria while in 7 both eyes were included. The control eyes were from healthy volunteers with normal ophthalmic and VF findings, recruited from among hospital staff. In controls, both eyes were included, except for two subjects (one had cataract; the other corneal opacity in one eye). The study followed the tenets of the Declaration of Helsinki, was approved by the Institutional Review Board Ethics Committee. Informed consent was obtained from all participants. The study was registered at plataformabrasil.saude.gov.br (number 69238217.0.0000.0068).
VF testing
VF was assessed on standard automated perimetry (SAP) with the 24-2 SITA-Standard strategy (Humphrey Field Analyzer; Carl Zeiss Meditec, Dublin, CA) using Goldmann size III stimulus. After resting for at least 15 min, subjects were also submitted to the SITA 10-2 testing strategy. Reliability criteria were fixation loss ≤20%, false-positive rate ≤15% and false-negative rate ≤30%. BA eyes were required to have partial or complete temporal hemianopia and a nasal hemifield within normal limits, defined as the absence of clusters of three or more points with p < 5% on the pattern deviation plot (24-2 test).
VF sensitivity (VFS) loss were averaged on the total deviation plot in 50 test points of the 24-2 test (excluding the 2 most nasal points, 1 above and 1 below the blind spot) to calculate the mean deviation (MD). VFS loss was also grouped for the nasal hemifield (26 test points), labelled the nasal mean defect (NMD), for the temporal hemifield (24 test points), labelled the temporal mean defect (TMD) and for six VF sectors of the Garway-Heath et al.’s optic disc-VF map [15]. We averaged 21 superior test points corresponding to the inferonasal (IN – sector 2) and inferotemporal (IT – sector 3) disc sectors, 21 inferior test points corresponding to the superotemporal (ST – sector 4) and superonasal (SN – sector 5) disc sectors, 6 temporal test points corresponding to the papilomacular bundle and 4 most temporal test points corresponding to the temporal (sector 6) and nasal (sector 1) disc sectors, respectively. VFS loss in the 10-2 test (68 test points) was also averaged globally to calculate the central MD (cMD), in two hemifields (nasal and temporal) and in quadrants. VFS loss was converted from dB to 1/Lambert linear units by dividing the dB value by 10 and anti-logging the quotient.
OCT scanning
Subjects underwent OCT and OCTA scanning using a 1050 nm swept-source OCT (DRI OCT Triton Plus®V.10.11., Topcon, Japan), with an acquisition speed of 100,000 A-scans/s. OCT images in a raster pattern covering a 6 × 6 mm area of the disc and a 7 × 7 mm area of the macula, were obtained. Only well-cantered images with signal intensity >40, without motion or blinking artefacts were analysed.
cpRNFL thickness measurements were generated on a circular map (Ø = 3.4 mm) drawn around the ONH when measuring global average thickness (360°) and sector thickness: temporal (310-41°), ST (41-80°), SN (80-120°), nasal (121-230°), IN (231-270°), and ITm (271-310°), according to the Garway-Heath et al.’s map [15]. In this study, the superior (SN and ST) and inferior (IT and IN) segments were averaged, resulting in four parameters: temporal (90°), superior (80°), inferior (80°) and nasal (110°) sectors. We also estimated the superoinferior (SI) sector (average of the superior and the inferior sectors) and the nasotemporal (NT) sector (average of nasal and temporal sectors).
The software automatically segmented the macular thickness measurements, providing the sum of the macular RNFL and the GCL + inner plexiform layer, referred to as the mGCC and registered according to an overlaid OCT-generated checkerboard (100 checks) covering an area of 6 × 6 mm and subsequently averaged in four macular quadrants (25 checks). The mGCC global average thickness and the average of the nasal and temporal hemiretinas (50 checks each) were also calculated.
OCT angiography
OCTA data were obtained using the same OCT device. Scans were taken from 4.5 × 4.5 mm cubes centred on the disc and 6 × 6 mm cubes centred on the fovea (Fig. S1). En-face OCT images should have absent signs of large eye movements (defined as abrupt shift completely disconnecting a large retinal vessel) or black bands (resulting from blinking) and should have uniform signal quality >40.
The automated layer segmentation of the equipment’s software (IMAGEnet 6 V.1.21.11783) generated different en face slabs. We evaluated cpVD within the cpRNFL in a slab from the inner-limiting membrane (ILM) to the junction of the RNFL/GCL. In the macula, the superficial capillary plexus en face images were generated in a slab from 2.6 μm beneath the ILM to 15.6 μm beneath the interface of the inner plexiform layer and inner nuclear layer (Fig. S1). Images were reviewed for correct centration and segmentation.
Quantitative VD
Exported OCTA images were analysed using ImageJ software (National Institute of Health, Bethesda, MD). Images were binarized with intensity thresholding by Otsu’s method [16], and VD expressed as a ratio by dividing the total number of pixels coinciding with the vessels by the total number of pixels in the image.
For cpVD evaluation, a circular area (Ø = 3.4 mm) centred on the ONH was delimited. A smaller concentric circle (Ø = 1.7 mm) was used to block the data from the disc, limiting the analysis to a halo around the ONH. cpVD was expressed as global average (360°) and four sectors: temporal 90°, superior 80°, nasal 110° and inferior 80°. We also calculated the NT and SI sector cpVD (average of nasal, temporal, superior and inferior, respectively). These parameters had correspondence with cpRNFL thickness parameters.
Macular VD was expressed as global average, quadrant and hemiretina averages passing through the fovea (Fig. S2). Figure 1 depicts pseudocolored maps representing cpVD and mVD in one control and three eyes with BA and different degrees of VF defect.
Data analysis and statistics
Descriptive statistics included mean values ± SD. Analysis of histograms and the Kolmogorov–Smirnov test evaluated the normality assumption. The two groups were compared with generalized estimating equation (GEE) models to compensate for intereye correlation from the same subject. Areas under the receiver operating characteristic curves (AROCs) were calculated and compared using DeLong et al.’s method [17].
Correlation of the VD parameters with OCT and VF measurements was analysed with Pearson’s correlation test. The level of statistical significance was defined as p < 0.05. We also estimated the significance at p < 0.01 and p < 0.001. Statistical analyses were performed using the software IBM SPSS Statistics V.20.
Results
A total of 33 eyes with BA and 42 control eyes were studied. The average age was 47.8 ± 12.4 years (range 21–75) in the BA patients, and 48.4 ± 14.3 years (range 24–71) in controls (p = 0.90). The mean ± SD spherical equivalent was −0.33 ± 0.89 dioptres in the BA group and +0.14 ± 1.60 in controls (p = 0.22). Sixteen eyes presented complete/nearly complete temporal hemianopia, 6 approximately one quadrant VF defect, and 11 defects < one quadrant. MD, TMD and NMD values in BA eyes were −9.3 ± 5.1, −19.8 ± 10.8 and −2.1 ± 1.4 dB, respectively. Corresponding values for normal eyes were −0.7 ± 1.2, −0.5 ± 1.2 and −0.9 ± 1.4 dB. When divided in sectors VF defect was −21.8 ± 10.8 (sector 1), −9.8 ± 4.6 (average sectors 2 and 3), −7.9 ± 5.3 (average sectors 4 and 5) and −13.5 ± 9.1 dB (sector 6). Corresponding values for controls were −0.1 ± 1.3, −0.7 ± 1.7, −0.8 ± 1.2 and −0.2 ± 1.3 dB. All VF parameters were significantly smaller in BA patients than controls.
Table 1 and Fig. S3 show the comparisons between VD measurements in both groups. All of the cpVD parameters (except superior sector) were significantly smaller in BA eyes than in controls. The best-performing parameters was the NT sector cpVD (AROC = 0.96) followed by the global average cpVD (AROC = 0.91) and the nasal sector cpVD (AROC = 0.89). Regarding mVD, significant reductions were observed for global average, SN, IN, IT and nasal hemiretina in BA eyes (Table 1). The best-performing mVD parameter was the IN mVD (AROC = 0.93), followed by the average (AROC = 0.91) and the nasal hemiretina (AROC = 0.89) mVD.
Table 2 shows results of OCT cpRNFL and mGCC parameters. The two groups differed significantly in all parameters (p < 0.05, GEE). The best-performing cpRNFL parameters were average cpRNFL, NS cpRNFL and NTS cpRNFL (AROC = 1.00 for all three). The best-performing mGCC parameter was IN or nasal hemiretina (AROC = 1.00 for both), followed by average or SN mGCC (AROC = 0.99 for both). The best-performing OCT parameters had significantly greater AROCs than the best-performing OCTA-measured parameters (p < 0.05).
Table 3 shows the correlations among cpVD, cpRNFL and VF parameters (24-2 strategy test). The largest correlation coefficients were observed between NT sector cpVD and temporal sector cpRNFL (r = 0.78), between NT sector cpVD and NT sector cpRNFL (r = 0.75), and between nasal sector cpVD and nasal sector cpRNFL (r = 0.74). Regarding the relationship between cpVD measurements and VFS loss, the strongest correlations were observed between NT sector cpVD and three VFS loss parameters: the TMD (r = 0.68), VF sector 1 (r = 0.67) and the MD (r = 0.66).
Table 4 shows the correlations among mVD, mGCC and 10-2 VF parameters. The strongest correlations were between average mVD and average mGCC, or between IN mVD and IN mGCC (r = 0.76 for both), followed by the correlation between average mVD and SN mGCC or nasal hemiretina mGCC (r = 0.75 for both). Highly significant correlations were also found between mVD and VF parameters based on the 10-2 strategy test. The largest correlation coefficients were between average mVD and cMD or cTMD (r = 0.68 for both) and between IN mVD and cST or cTMD (r = 0.68 for both). Figure S4 shows scatterplots of the strongest relationships (OCTA, OCT and VF parameters) encountered.
Discussion
In the present study, we found that superficial cpVD and mVD parameters effectively differentiate affected eyes with BA and temporal VF defect (stable for at least 6 months) from normal controls. Of the seven cpVD parameters evaluated, all but the superior sector were significantly smaller in BA than in controls. cpVD reduction was most pronounced in the nasal and temporal disc sectors. Similarly, there was significant reduction of nasal hemiretina macular VD parameters in BA eyes (Table 1). These findings are in agreement with the knowledge that eyes with long-standing temporal hemianopia, normal nasal VF and BA of the optic nerve display significant neural loss in the nasal and relative preservation of the temporal hemiretina [18]. Furthermore, the reduction of IT mVD despite the fact that the sample of BA eyes had normal nasal MD, suggests that VD parameters might be more effective than VF parameters at detecting abnormality. The same conclusion is true for the mGCC parameters showing abnormalities in the temporal hemiretina (corresponding to the nasal VF within normal limits) in BA eyes, when compared with controls (Table 2), as previously reported [19,20,21]. Presumably damage to the uncrossed fibres corresponding to the nasal VF occurred before tumour treatment. An analysis of our OCT and OCTA data shows that the VD parameters matched the abnormalities detected on cpRNFL and mGCC with regard to measurements in the nasal hemiretina and the temporal and nasal sectors of the disc (Tables 1, 2). Although slightly less efficient than cpRNFL and mGCC parameters, VD measurements displayed high discrimination ability with AROC values as high as 0.96 for NT sector cpVD and 0.93 for IN mVD.
In our study, the correlation coefficients between cpVD and cpRNFL parameters were strong (r ranging from 0.67 to 0.78 for global average and preferentially affected regions: nasal, temporal and NT sectors), matching the correlation coefficients of earlier studies in glaucoma [6, 9, 22, 23], dominant optic atrophy [8] and neuromyelitis optica [10]. Most previous studies, however, have evaluated only the relationship between global cpVD and cpRNFL; in contrast, we found a strong correlation between the two sets of measurements even when more localized data were analysed, especially the most severely affected areas (nasal sector 0.74, temporal sector 0.73, NT sector 0.78). Regarding the relationship between cpVD and VFS loss, our findings also match the correlation coefficients reported in previous studies that evaluated the relationship between global cpVD and VF MD in different optic nerve diseases [9, 23,24,25]. In our study, the correlation coefficients between the circumpapillary sectors preferentially affected in BA eyes and VFS loss in corresponding VF areas ranged from 0.48 to 0.68 (Table 3), comparable to the relationship between sector cpRNFL thickness parameters and VFS loss in a previous study on a similar set of patients [26].
Our data also shows that BA eyes differed significantly from controls with regard to mVD values. The discrimination ability was high not only for global average mVD measurement (AROC = 0.91), but also for IN quadrant (AROC = 0.93) and nasal hemiretina (AROC = 0.89) mVD parameters. Significant differences, although with a slightly worse performance, were also found in the SN (AROC = 0.78) and IT (AROC = 0.70) quadrants mVD parameters (Table 1). Our findings are in agreement with some previous studies in glaucoma [7, 25, 27, 28] and neuromyelitis optica [10] which found reduced average mVD values compared with healthy controls. Nevertheless, other studies have failed to find significantly reduced superficial mVD parameters in patients with glaucoma [23], multiple sclerosis [29] and optic pathway glioma [30]. We believe that some of these discrepancies might be explained by differences in patient selection and scanning protocol. The inclusion in our study of eyes with permanent temporal VF defects and clearly abnormal nasal macular structural parameters provided a robust model capable of evaluating the diagnostic power of mVD parameters. Furthermore, the use of a swept-source device and a 6 × 6 mm scanning protocol (rather than the more commonly employed 3 × 3 mm protocol) likely favoured our results. Since most of the GCL in the macular area is within an 8° radius circle centred on the fovea [2], most mVD loss secondary to neural degeneration is likely to be beyond the 3 × 3 mm central macular area and therefore better assessed with the 6 × 6 mm scanning protocol. Our data also shows strong correlations between average/quadrantic/hemifield mVD and the corresponding mGCC parameters and VFS loss assessed in directly corresponding regions of the VF using the 10-2 threshold test (Table 4).
While in many optic neuropathies, a vascular mechanism cannot be completely excluded [8, 10, 11], our data of reduced VD parameters in patients with damage from chiasmal compression (i.e., distant from the eye) renders a primary vascular component unlikely and indicates that VD reduction is probably secondary to retinal neural degeneration based on the strong relationships among VD, retinal thickness and VFS loss in directly corresponding areas. The reduction of cpVD and mVD may be associated with either capillary drop-out or reduced capillary blood flow possibly related to a reduction in metabolic demand [31, 32]. These observations, however, should be interpreted with caution: OCTA technology is at an early stage, and while its performance was remarkable, it is expected to evolve considerably in the near future. It is therefore not possible to conclude that retinal VD damage occurs only after cpRNFL and mGCC loss or dysfunction. Further developments in OCTA technology and evaluations of VD parameters in compressive chiasmal lesions before and after treatment (and visual recovery) could help to clarify these issues.
Our study was limited by the relatively small sample size and the cross-sectional design, that precluded observation of whether VD reduction might be detected before retinal axonal loss due to dysfunctional (but not atrophic) RCG with reduced energy demands, as suggested in glaucoma [6]. We hope that longitudinal studies of patients with compressive optic pathway diseases will shed more light on the pathophysiology and sequence of changes in VD, axonal and VF parameters.
In conclusion, we found cpVD and mVD parameters to be significantly reduced in BA eyes compared with controls, and were strongly correlated with retinal neural and VF loss in patients with chiasmal compression, suggesting that cpVD and mVD reduction could serve as a surrogate for retinal neural loss in compressive optic neuropathy and might be useful in its diagnosis and management. However, further longitudinal studies are necessary to confirm these findings.
Summary
What was known before
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Optical coherence tomography angiography shows reduced peripapillary and macular vessel density in a number of anterior optic pathway diseases. Therefore, a vascular component is suspected in many such conditions.
What this study adds
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Eyes with band atrophy of the optic nerve from chiasmal compression differed significantly from controls with regard to circumpapillary and macular vessel density, with reduction significantly correlated with retinal neural loss and visual field loss.
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Circumpapillary vessel density and macular vessel density reduction on OCTA could serve as a surrogate for retinal neural loss in compressive optic neuropathy and might be useful in its management.
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Acknowledgements
This work is supported by grants from Coordenação de Aperfeiçoamento do Pessoal de Nível Superior (Grant No. 4951-10-07), Brasília, Brazil and and CNPq—Conselho Nacional de Desenvolvimento Científico e Tecnológico (No. 308172/2018-3), Brasília, Brazil. The funding organizations had no role in the design or conduct of this research.
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41433_2019_564_MOESM2_ESM.tif
Figure S1OCT angiography of the right eye of a normal subject. A: peripapillary area (above) and macular area (below) centered on the optic disc and on the fovea, respectively. B, above: circumpapillary slab from the inner limiting membrane (ILM) to the interface of the retinal nerve fiber layer (RNFL) and ganglion cell layer (GCL); below: superficial retinal capillary layer of the macula in a slab from 2.6 μm beneath the ILM to 15.6 μm beneath the interface of the inner plexiform layer (IPL) and the inner nuclear layer (INL). C and D: Grayscale and pseudo-colored density maps of the peripapillary area (above) and the macular area (below).
41433_2019_564_MOESM3_ESM.tif
Figure S2 OCTA images after binarization showing areas included in the vessel density analysis (demarcated by lines). Left: temporal (90°), superior (80°), nasal (110°) and inferior (80°) sectors in a 700-micron wide annulus area centered on the optic disc. Right: division of the macular area in quadrants passing through the fovea
41433_2019_564_MOESM4_ESM.tif
Figure S3Boxplots showing mean percentages of circumpapillary (A) and macular (B) vessel density (global average, sector, quadrant and hemi-retina of the macula). Avg=average; SS=superior sector; TS=temporal sector; IS=inferior sector; NS=nasal sector; NTS=nasotemporal sector; SIS=superoinferior sector; INQ=inferonasal quadrant; STQ=superotemporal quadrant; ITQ=inferotemporal quadrant; NHR=nasal hemiretina; THR=temporal hemiretina. All parameters except STQ were significantly smaller in BA eyes than in controls.
41433_2019_564_MOESM5_ESM.tif
Figure S4Scatterplots with the largest correlation coefficients (r) between circumpapillary vessel density (VD) parameters plotted against circumpapillary retinal nerve fiber layer (cpRNFL) measurements (A) or visual field sensitivity loss based on the 24-2 threshold test expressed in the antilog (1/L) scale (B), and of the largest correlation coefficients of macular vessel density parameters plotted against macular ganglion cell complex measurements (C) and visual field sensitivity loss based on the 10-2 threshold (D).
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Suzuki, A.C.F., Zacharias, L.C., Preti, R.C. et al. Circumpapillary and macular vessel density assessment by optical coherence tomography angiography in eyes with temporal hemianopia from chiasmal compression. Correlation with retinal neural and visual field loss. Eye 34, 695–703 (2020). https://doi.org/10.1038/s41433-019-0564-2
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DOI: https://doi.org/10.1038/s41433-019-0564-2