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BRIEF RESEARCH REPORT article

Front. Med., 24 July 2023
Sec. Ophthalmology
This article is part of the Research Topic Advances in Ocular Imaging and Biometry, Volume II View all 7 articles

Early changes of ganglion cell-inner plexiform layer thickness and macular microvasculature in Posner-Schlossman syndrome: a binocular control study by OCTA

Zhiyi HuZhiyi Hu1Liwei ZhuLiwei Zhu2Junli XuJunli Xu2Jiamin WeiJiamin Wei2Shuangqing Wu
Shuangqing Wu3*Qi Dai
Qi Dai3*Qibin Xu
Qibin Xu2*
  • 1The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
  • 2Department of Ophthalmology, Zhejiang Medicine and Western Medicine Integrated Hospital, Hangzhou Red-Cross Hospital, Hangzhou, Zhejiang, China
  • 3National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China

To evaluate the early changes in ganglion cell-inner plexiform layer thickness and macular microvasculature in Posner-Schlossman syndrome (PSS) with a binocular control study involving optical coherence tomography angiography (OCTA). Twenty-six patients with unilateral PSS were included in this cross-sectional study. All subjects underwent a thorough ocular examination. Macular ganglion cell-inner plexiform layer (mGCIPL) and superficial macular microvasculature measurements, including vessel density (VD), perfusion density (PD) and the foveal avascular zone (FAZ), were recorded. In PSS-affected eyes, the mGCIPL thickness was significantly lower in all quadrants than in the contralateral eyes (all p < 0.05). Significant macular microvascular damage was found in the PSS-affected eyes, including whole-image VD (wiVD), wiPD, perifoveal VD (periVD) and periPD (all p < 0.05); but there was no obvious difference in parafoveal VD (paraVD), paraPD and FAZ parameters (all p > 0.05). In addition, a decreased wiVD and wiPD were significantly correlated with a smaller mGCIPL thickness and a decreased MD (all p < 0.05). These parameters may contribute to the early detection of glaucomatous damage and timely supervision of disease progression in PSS.

1. Introduction

Posner-Schlossman syndrome (PSS) was first proposed by Posner and Schlossman (1) as a special form of mild nongranulomatous anterior uveitis accompanied by elevated intraocular pressure that usually affects the unilateral eye. In the past, PSS was considered a self-limited, benign disease because the appearance of the optic disc was usually normal or reversible (24), and vision was rarely defective (1, 3, 4). However, an increasing number of studies have reported that in the long-term, recurrent episodes may ultimately lead to glaucomatous optic nerve damage and/or visual field impairment in PSS patients (57).

Glaucoma is an optic neuropathy characterized by the death of retinal ganglion cells (RGC) and their axons (8), more than 50% of which are in the macula (9). Recent studies have shown that macular parameters such as macular ganglion cell-inner plexiform layer (mGCIPL) thickness are better than or at least as effective as retinal nerve fiber layer (RNFL) parameters in the evaluation of RGC damage (1012). Damage to macular RGC can be detected in the early stage of glaucoma, but there are few reports on the mGCIPL in PSS.

Optical coherence tomography angiography (OCTA) is a new technique for detecting changes in blood flow that can be used to quantitatively analyze retinal microvessels (13). Because RGCs and their axons lie in the inner retina, which is nourished by the superficial microcirculation (14, 15), superficial macular microvasculature parameters such as macular vessel density (VD), perfusion density (PD) and foveal avascular zone (FAZ) are considered more likely to reflect glaucomatous damage than deeper parameters (1618).

To avoid underestimating the optic nerve damage caused by PSS, early detection and timely supervision are crucial for reducing disease progression. Based on the characteristics of the unilateral onset of PSS, the current study aimed to investigate the potential early changes in macular OCTA metrics by comparing mGCIPL, VD, PD and FAZ parameters between PSS-affected eyes and their fellow eyes.

2. Materials and methods

2.1. Participants

This is a cross-sectional, observational study. The research process is in line with the tenets of the Declaration of Helsinki, and this study was approved by the ethics committee of Zhejiang Integrated Traditional Chinese and Western Medicine Hospital. All patients were informed of the purpose and steps of the study and signed the written informed consent forms. A consecutive series of patients diagnosed with PSS and examined at our hospital were recruited for the study from November 2020 to December 2021.

The inclusion criteria were as follows: (1) unilateral onset PSS in the remission stage; (2) transient episodes of elevated intraocular pressure; (3) mild anterior chamber inflammation, open anterior chamber angle without iris synechiae, hoar and white suet-shaped keratic precipitates (KPs); (4) no posterior inflammation; and (5) visual field mean deviation (MD) ≥ −6 decibels (dB).

The exclusion criteria were as follows: (1) bilateral disease or bilateral alternate disease; (2) visual field MD < −6 dB; (3) uncontrolled intraocular pressure after drug treatment; (4) primary glaucoma or elevated intraocular pressure caused by other known factors; (5) previous history of ophthalmic surgery; (6) severe corneal opacity or cataract may affect the quality of fundus imaging; (7) history of retinal diseases; and (8) other systemic diseases and drug use, mental disorders or other reasons for not cooperating with the study.

2.2. Ocular examinations

All patients underwent complete ophthalmologic examinations, including best-corrected visual acuity (BCVA), refractive, intraocular pressure measurement with Goldmann applanation tonometry, slit-lamp biomicroscopy, indirect fundus ophthalmoscopy, visual acuity and OCTA examination.

The visual field test was performed by standard automated perimetry (SAP; Humphrey C24-2 SITA-Standard visual field; Zeiss Meditec, Dublin, United States). The reliability criteria of the visual field examination were fixation losses < 20%, and false-positive and false-negative errors < 15%; the perimeter software calculated the MD and pattern standard deviation (PSD). Early glaucoma was defined as a 24–2 visual field MD ≥ −6 dB.

All patients underwent macular angiography with a 6 × 6 mm scan using the Zeiss Cirrus 5,000 system (Carl Zeiss Meditec, Dublin, United States) to obtain microvasculature images of the macular areas. This instrument operates at a central wavelength of 840 nm and a speed of 68,000 A-scans per second and is equipped with a real-time eye-tracking system to reduce motion artifacts. The 6 × 6 scan pattern has 245 A-scans in each B-scan along both the horizontal and vertical dimensions. Vascular images of the superficial capillary plexus (from the internal limiting membrane to the inner plexiform layer) were displayed automatically.

All scans were analyzed using Cirrus OCTA software (AngioPlex, V.10.0). Vessel density (VD) was defined as the total length of perfused vasculature per unit area in a region of measurement, and perfusion density (PD) was defined as the total area of perfused vasculature per unit area in the region of measurement. According to the Early Treatment Diabetic Retinopathy Study, each 6 × 6 mm scan was automatically divided into three sectors to assess VD and PD parameters (Figure 1A): fovea (1 mm central circle), parafovea (3 mm inner circle), and perifovea (6 mm outer circle), as well as the whole scan area. The area, perimeter, and circularity (calculated as 4πA/P, where A is the area and P is the perimeter) of the foveal avascular zone (FAZ) were also measured (Figure 1B).

FIGURE 1
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Figure 1. (A) Macular superficial vessel density and perfusion density measurement map with areas corresponding to foveal, parafoveal and perifoveal measurements; (B) automatically detected foveal avascular zone measurement map; (C) macular ganglion cell-inner plexiform layer measurement map with areas corresponding to the six sectors (superotemporal, superior, superonasal, inferonasal, inferior and inferotemporal).

A macular cube with 512 × 128 scan protocols was used to measure the mGCIPL thickness. Within a 14.13 mm2 elliptical area centered on the fovea, the mGCIPL thickness was measured using a ganglion cell analysis algorithm that automatically divided the fovea into six sectors (superotemporal, superior, superonasal, inferonasal, inferior, and inferotemporal; Figure 1C), and the minimum and average mGCIPL thicknesses were analyzed.

All scans were performed by the same experienced operator (JMW) on the same instrument, and all scans were reviewed individually by one experienced examiner (JLX). Only images with signal strength (SS) ≥ 8 were included for analysis.

2.3. Statistical analyses

Statistical analyses were performed using SPSS software, version 26.0 (IBM Corp, Armonk, NY, United States). Data are presented as the means ± standard deviations. The Kolmogorov–Smirnov test was used to check the normality of the distribution of the data. Paired t-tests were used to compare the mGCIPL thickness and macular microvasculature parameters between PSS-affected eyes and their fellow eyes. Pearson’s correlation and univariate linear regression analysis were performed to analyze the correlation between macular microvasculature parameters, mGCIPL thickness, MD and other potential factors. p < 0.05 was considered to indicate statistical significance.

3. Results

3.1. Patient characteristics

Twenty-six patients fit the inclusion and exclusion criteria. Table 1 summarizes the demographic and clinical characteristics of all of the subjects. In our study, 5 patients had their first attack, and the others had a history of several PSS attacks. The average disease duration was 3.39 ± 6.56 years. The average peak IOP was 44.85 ± 10.72 mmHg. The mean deviation of the visual field of the PSS-affected eyes was −2.31 ± 2.03 dB.

TABLE 1
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Table 1. Demographic data, clinical findings and visual field properties (n = 26).

3.2. Comparison of macular GCIPL thickness

The mGCIPL thickness on average and in all quadrants was significantly lower in the PSS-affected eyes than in the fellow eyes (all p < 0.05; Table 2).

TABLE 2
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Table 2. Comparison of mGCIPL between PSS-affected eyes and their fellow eyes (n = 26).

3.3. Comparison of macular microvasculature

As shown in Table 3, the whole-image of macular VD (wiVD) and the perifoveal VD (periVD) were significantly lower in PSS-affected eyes than in the fellow eyes (p = 0.030, p = 0.018, respectively). However, the foveal VD (fVD) and parafoveal VD (paraVD) showed no significant differences between PSS-affected eyes and fellow eyes (p > 0.05).

TABLE 3
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Table 3. Comparison of macular microvasculature between PSS-affected eyes and their fellow eyes (n = 26).

The macular PD followed the same trend as the VD. The foveal PD (fPD) and parafoveal PD (paraPD) were similar in PSS-affected eyes and their fellow eyes (p > 0.05). However, the whole-image PD (wiPD) and perifoveal PD (periPD) in PSS-affected eyes were lower than those in the fellow eyes (p = 0.029 in wiPD, and p = 0.031 in periPD).

For the FAZ parameters, there were no significant differences in the area, perimeter or circularity between PSS-affected eyes and their fellow eyes (all p > 0.05).

3.4. Correlation analysis of macular microvasculature with potential factors

Table 4 shows the correlation of macular vascular parameters with mGCIPL thickness, MD and other potential factors in PSS-affected eyes. We found that both the wiVD (p = 0.049, r2 = 0.221) and wiPD (p = 0.050, r2 = 0.219) were positively correlated with the MD. Both the wiVD (p = 0.002, r2 = 0.333) and wiPD (p = 0.004, r2 = 0.299) showed a statistically significant correlation with the average mGCIPL thickness (Figure 2). However, neither the wiVD nor wiPD were associated with age, sex, onset age, disease duration, disease frequency, PD or peak IOP (all p > 0.05).

TABLE 4
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Table 4. Linear regression analysis for macular VD and PD in PSS-affected eyes.

FIGURE 2
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Figure 2. (A) Correlation between macular vessel density and mGCIPL thickness; (B) Correlation between macular perfusion density and mGCIPL thickness.

4. Discussion

PSS is no longer a self-limiting benign disease (57). Due to the mild nature of the symptoms, patients might suffer multiple episodes of ocular hypertension and therefore develop optic nerve damage before presenting to a specialist. In recent years, technology has developed that makes high-resolution retinal imaging possible, and several papers have suggested the importance of evaluating the retinal layer thickness to better understand the physiopathology of ocular, neurological or systemic diseases (19, 20). In an effort to provide a more sensible tool for detecting early glaucomatous change, we used the mGCIPL thickness and found that the PSS-affected eyes exhibited a significant decrease on average and in all quadrants compared with the PSS-fellow eyes, indicating the death of a great number of RGC and loss of their axons. This pattern is in accordance with other types of early glaucoma (10, 11), suggesting that PSS may be driven by a pathogenesis similar to that of other types of glaucoma.

Decreased macular superficial VD and PD were found in PSS-affected eyes relative to their fellow eyes (21). However, the early changes in the macular microvasculature in PSS has not been clearly elucidated. In the current study, we found that the wiVD, wiPD, periVD, and periPD were significantly decreased in PSS-affected eyes compared with PSS-fellow eyes, while no significant difference was found in the fVD, fPD, paraVD, and paraPD. This result suggests that the perifoveal microcirculation is more vulnerable to glaucomatous damage in the early stage of PSS. The same result was also found in both pre-perimetric glaucoma (22) and mild primary open-angle glaucoma (23), in which the periVD was more obviously damaged. In addition, we demonstrated that there were no significant differences in the FAZ area, perimeter, and circularity between PSS-affected eyes and their fellow eyes. There are a few possible hypotheses for these results. First, the FAZ is a small region in the fovea, which lacks retinal vessels, so slight changes in the microvasculature may be imperceptible (21). Second, the fovea contains only photoreceptor cells, which are usually not directly affected by glaucoma (24). Third, Van Melkebeke et al. (25) believed that the macular region most prone to glaucoma was primarily located outside the central 3 × 3 mm region but within the 6 × 6 mm region. Taken together, the results of our study correspond to previous studies suggesting that glaucomatous vascular injury might begin in the perifoveal region, progress to the parafoveal region and finally affect the FAZ parameters (21, 22, 26, 27).

We found that the average mGCIPL thickness in the PSS-affected eyes was correlated well with the wiVD and wiPD. Similar results can be found in the early stage of other types of glaucoma (17, 28). Kim et al. (17) maintained that because RGC were less affected, the relationship between mGCIPL thickness and the VD was more linear than that in advanced-stage glaucoma. These findings indicate a strong association between decreased microvasculature and RGC loss.

It has long been debated whether microvascular damage or RGC loss occurs first in glaucoma patients. Recent studies have shown that microvascular changes occur after RGC damage in glaucoma (22, 2932). They therefore consider the decrease in microvasculature to be the result of capillary closure following RGC death. Moreover, Lu et al. (22) reported a topographic relationship between macular microvasculature damage and macular RGC loss in early primary open-angle glaucoma. In the current study, mGCIPL thickness was significantly lower in all quadrants, while obvious vascular damage occurred only in the perifoveal area in the early stage of PSS. In this sense, macular microvasculature changes may occur after mGCIPL damage in the pathogenesis of PSS. Further studies are necessary to better verify this finding.

Additionally, although the patients in our study did not have a severely impaired visual field (MD ≥ −6), we still found that both the wiVD and wiPD were correlated with MD, suggesting a correlation between macular vascular parameters and visual functional parameters. Several studies have proven that the reduction in the VD corresponds with the severity of visual field damage and with the severity of glaucoma (3335). Thus, the evaluation of VD and PD loss could potentially be used to estimate visual function in the early stage of PSS.

Jap et al. (5) held that disease duration was the only factor leading to glaucomatous optic nerve injury in PSS. Gao et al. (36) showed that both the duration of the disease and the frequency of attacks affected the progression of PSS. However, we could not find the correlation between disease duration or disease frequency and the wiVD or wiPD in our study. The most important reason may be due to the different inclusion criteria in our research. We only selected patients with early visual field defects, excluding patients with middle and late visual field defects, or patients underwent glaucoma filtering surgery, which is different from the sample selection in the above paper (5, 36). Accordingly, the average course of disease in our patients was 3.39 ± 6.56 years, while was significantly shorter than 9.5 ± 10.4 years in Gao’s study (36). The selection bias and a relatively small sample size may be responsible for the different results in our study from previous studies (5, 36). A longitudinal study with larger sample size is needed to further investigate the influencing factors on the progression of PSS.

There are several other limitations to our study. First, the relatively small sample size limited the power of our findings; in addition, this study lacked some factors that may affect macular microvasculature including systemic vascular diseases such as hypertension. Finally, further longitudinal studies will better elucidate the correlation between macular microvasculature and visual function or RGC damage over time in the course of PSS progression.

5. Conclusion

In conclusion, the macular structural and vascular parameters were significantly lower in eyes with early-stage PSS than in the fellow eyes, and the vascular damage was more prominent in the perifoveal area. The reduced macular microvasculature parameters were correlated with a smaller mGCIPL thickness and decreased MD in the PSS-affected eyes. Binocular comparisons of the mGCIPL and macular microvasculature with OCTA may contribute to the early detection of glaucomatous damage and timely monitoring of disease progression in patients with PSS.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.

Ethics statement

The research process is in line with the tents of the Declaration of Helsinki, and this study has been approved by the Ethics Committee of Zhejiang Integrated Traditional Chinese and Western Medicine Hospital. All patients were informed of the purpose and steps of the study and signed the written informed consents.

Author contributions

ZH, LZ, and QX analyzed and interpreted the data and wrote the manuscript. SW and QD contributed to statistical guidance and reviewed and approved the manuscript. SW, QD, and QX reviewed and approved the manuscript and designed the study. QX was the guarantor of the work, and had full access to all the data in the study, and takes responsibility for the integrity of the data and the accuracy of the data analysis. All authors contributed to the article and approved the submitted version.

Conflict of interest

The 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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Posner, A, and Schlossman, A. Syndrome of unilateral recurrent attacks of glaucoma with cyclitic symptoms. Arch Ophthalmol. (1948) 39:517–35. doi: 10.1001/archopht.1948.00900020525007

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Pederson, JE, and Herschler, J. Reversal of glaucomatous cupping in adults. Arch Ophthalmol. (1982) 100:426–31. doi: 10.1001/archopht.1982.01030030428008

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Darchuk, V, Sampaolesi, J, Mato, L, Nicoli, C, and Sampaolesi, R. Optic nerve head behavior in Posner-Schlossman syndrome. Int Ophthalmol. (2001) 23:373–9. doi: 10.1023/a:1014467017300

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Theodore, FH . Observations on glaucomatocyclitic crises (Posner-Schlossman syndrome). Br J Ophthalmol. (1952) 36:207–10. doi: 10.1136/bjo.36.4.207

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Jap, A, Sivakumar, M, and Chee, SP. Is Posner Schlossman syndrome benign? Ophthalmology. (2001) 108:913–8. doi: 10.1016/s0161-6420(01)00551-6

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Maruyama, K, Maruyama, Y, Sugita, S, Mori, K, Yokoyama, Y, Sanuki-Kunimatsu, S, et al. Characteristics of cases needing advanced treatment for intractable Posner-Schlossman syndrome. BMC Ophthalmol. (2017) 17:45. doi: 10.1186/s12886-017-0438-y

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Kim, JH, Lee, JY, and Choi, JA. Long-term prognosis for glaucoma in patients with Posner-Schlossman syndrome. Graefes Arch Clin Exp Ophthalmol. (2021) 259:3757–67. doi: 10.1007/s00417-021-05291-0

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Weinreb, RN, Aung, T, and Medeiros, FA. The pathophysiology and treatment of glaucoma: a review. JAMA. (2014) 311:1901–11. doi: 10.1001/jama.2014.3192

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Curcio, CA, and Allen, KA. Topography of ganglion cells in human retina. J Comp Neurol. (1990) 300:5–25. doi: 10.1002/cne.903000103

CrossRef Full Text | Google Scholar

10. Kim, YK, Ha, A, Na, KI, Kim, HJ, Jeoung, JW, and Park, KH. Temporal relation between macular ganglion cell-inner plexiform layer loss and Peripapillary retinal nerve Fiber layer loss in Glaucoma. Ophthalmology. (2017) 124:1056–64. doi: 10.1016/j.ophtha.2017.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Mwanza, JC, Durbin, MK, Budenz, DL, Sayyad, FE, Chang, RT, Neelakantan, A, et al. Glaucoma diagnostic accuracy of ganglion cell-inner plexiform layer thickness: comparison with nerve fiber layer and optic nerve head. Ophthalmology. (2012) 119:1151–8. doi: 10.1016/j.ophtha.2011.12.014

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Demirtaş, AA, Özköse Çiçek, A, Duru, Z, Ulusoy, DM, Özsaygılı, C, and Duru, N. Comparison of ganglion cell-inner plexiform layer thickness in exfoliative glaucoma and primary open-angle glaucoma. Photodiagn Photodyn Ther. (2021) 34:102335. doi: 10.1016/j.pdpdt.2021.102335

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Kashani, AH, Chen, CL, Gahm, JK, Zheng, F, Richter, GM, Rosenfeld, PJ, et al. Optical coherence tomography angiography: a comprehensive review of current methods and clinical applications. Prog Retin Eye Res. (2017) 60:66–100. doi: 10.1016/j.preteyeres.2017.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Vazquez, LE, Mwanza, JC, Triolo, G, Monsalve, P, Feuer, WJ, Parrish, RK II, et al. Separation and thickness measurements of superficial and deep slabs of the retinal nerve fiber layer in healthy and glaucomatous eyes. Ophthalmol Glaucoma. (2020) 3:66–75. doi: 10.1016/j.ogla.2019.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Wu, JH, Moghimi, S, Nishida, T, Proudfoot, JA, Kamalipour, A, Zangwill, LM, et al. Correlation of ganglion cell complex thinning with baseline deep and superficial macular vessel density in glaucoma [published online ahead of print, 2022 Jan 31]. Br J Ophthalmol. (2022) 107:953–8. doi: 10.1136/bjophthalmol-2021-320663

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Huo, YJ, Thomas, R, Guo, Y, Zhang, W, Li, L, Cao, K, et al. Topographic differences in superficial macular vessel density in eyes with early primary open-angle Glaucoma and Normal tension Glaucoma [published online ahead of print, 2023 Jan 5]. Ophthalmic Res. (2023) 66:453–61. doi: 10.1159/000528877

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Kim, JS, Kim, YK, Baek, SU, Ha, A, Kim, YW, Jeoung, JW, et al. Topographic correlation between macular superficial microvessel density and ganglion cell-inner plexiform layer thickness in glaucoma-suspect and early normal-tension glaucoma. Br J Ophthalmol. (2020) 104:104–9. doi: 10.1136/bjophthalmol-2018-313732

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Chao, SC, Yang, SJ, Chen, HC, Sun, CC, Liu, CH, and Lee, CY. Early macular angiography among patients with Glaucoma, ocular hypertension, and Normal subjects. J Ophthalmol. (2019) 2013:7419470. doi: 10.1155/2019/7419470

CrossRef Full Text | Google Scholar

19. Picillo, M, Salerno, G, Tepedino, MF, Abate, F, Cuoco, S, Gioia, M, et al. Retinal thinning in progressive supranuclear palsy: differences with healthy controls and correlation with clinical variables. Neurol Sci. (2022) 43:4803–9. doi: 10.1007/s10072-022-06061-4

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Alexopoulos, P, Madu, C, Wollstein, G, and Schuman, JS. The development and clinical application of innovative optical ophthalmic imaging techniques. Front Med. (2022) 9:891369. doi: 10.3389/fmed.2022.891369

CrossRef Full Text | Google Scholar

21. Guo, XJ, Chen, D, Zhou, LJ, Luo, SK, Lu, Y, and Guo, JJ. Evaluation of macular microvascular density using optical coherence tomography angiography in patients with Posner-Schlossman syndrome. BMC Ophthalmol. (2022) 22:339. doi: 10.1186/s12886-022-02563-z

CrossRef Full Text | Google Scholar

22. Lu, P, Xiao, H, Liang, C, Xu, Y, Ye, D, and Huang, J. Quantitative analysis of microvasculature in macular and Peripapillary regions in early primary open-angle Glaucoma. Curr Eye Res. (2020) 45:629–35. doi: 10.1080/02713683.2019.1676912

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Huo, Y, Thomas, R, Guo, Y, Zhang, W, Li, L, Cao, K, et al. Superficial macular vessel density in eyes with mild, moderate, and severe primary open-angle glaucoma. Graefes Arch Clin Exp Ophthalmol. (2021) 259:1955–63. doi: 10.1007/s00417-021-05120-4

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Lever, M, Glaser, M, Chen, Y, Halfwassen, C, Unterlauft, JD, Bechrakis, NE, et al. Microvascular and structural alterations of the macula in early to moderate Glaucoma: an optical coherence tomography-angiography study. J Clin Med. (2021) 10:5017. doi: 10.3390/jcm10215017

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Van Melkebeke, L, Barbosa-Breda, J, Huygens, M, and Stalmans, I. Optical coherence tomography angiography in Glaucoma: a review. Ophthalmic Res. (2018) 60:139–51. doi: 10.1159/000488495

CrossRef Full Text | Google Scholar

26. Subasi, S, Yuksel, N, Basaran, E, and Pirhan, D. Comparison of vessel density in macular and peripapillary regions between primary open-angle glaucoma and pseudoexfoliation glaucoma using OCTA. Int Ophthalmol. (2021) 41:173–84. doi: 10.1007/s10792-020-01564-5

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Zloto, O, Veksler, R, Moroz, I, Goldberg, H, and Levkovitch-Verbin, H. Peripapillary and fovea avascular zone optical coherence tomography angiography parameters in exfoliation glaucoma versus primary open-angle glaucoma versus healthy eyes. Indian J Ophthalmol. (2022) 70:3562–8. doi: 10.4103/ijo.IJO_84_22

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Shen, R, Wang, YM, Cheung, CY, Tang, FY, Lam, A, Tham, CC, et al. Relationship between macular intercapillary area measured by optical coherence tomography angiography and central visual field sensitivity in normal tension glaucoma. Br J Ophthalmol. (2023) 107:816–22. doi: 10.1136/bjophthalmol-2021-319923

CrossRef Full Text | Google Scholar

29. Lee, EJ, Kim, JA, Kim, TW, Kim, H, Yang, HK, and Hwang, JM. Glaucoma-like parapapillary choroidal microvasculature dropout in patients with compressive optic neuropathy. Ophthalmology. (2020) 127:1652–62. doi: 10.1016/j.ophtha.2020.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Zhang, X, Xiao, H, Liu, C, Zhao, L, Wang, J, Li, H, et al. Comparison of macular structural and vascular changes in neuromyelitis optica spectrum disorder and primary open angle glaucoma: a cross-sectional study. Br J Ophthalmol. (2021) 105:354–60. doi: 10.1136/bjophthalmol-2020-315842

CrossRef Full Text | Google Scholar

31. Rao, HL, Pradhan, ZS, Weinreb, RN, Riyazuddin, M, Dasari, S, Venugopal, JP, et al. Vessel density and structural measurements of optical coherence tomography in primary angle closure and primary angle closure Glaucoma. Am J Ophthalmol. (2017) 177:106–15. doi: 10.1016/j.ajo.2017.02.020

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Kim, SB, Lee, EJ, Han, JC, and Kee, C. Comparison of peripapillary vessel density between preperimetric and perimetric glaucoma evaluated by OCT-angiography. PLoS One. (2017) 12:e0184297. doi: 10.1371/journal.pone.0184297

CrossRef Full Text | Google Scholar

33. Yarmohammadi, A, Zangwill, LM, Manalastas, PIC, Fuller, NJ, Diniz-Filho, A, Saunders, LJ, et al. Peripapillary and macular vessel density in patients with primary open-angle Glaucoma and unilateral visual field loss. Ophthalmology. (2018) 125:578–87. doi: 10.1016/j.ophtha.2017.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Ghahari, E, Bowd, C, Zangwill, LM, Proudfoot, J, Hasenstab, KA, Hou, H, et al. Association of Macular and Circumpapillary Microvasculature with visual field sensitivity in advanced Glaucoma. Am J Ophthalmol. (2019) 204:51–61. doi: 10.1016/j.ajo.2019.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Li, Z, Xu, Z, Liu, Q, Chen, X, and Li, L. Comparisons of retinal vessel density and glaucomatous parameters in optical coherence tomography angiography. PLoS One. (2020) 15:e0234816. doi: 10.1371/journal.pone.0234816

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Gao, T, Song, S, Ke, X, Li, S, Zhang, D, Chen, X, et al. Clinical characteristics of Posner-Schlossman syndrome patients in China. Biomed Res Int. (2023) 2023:4110344–7. doi: 10.1155/2023/4110344

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Posner-Schlossman syndrome (PSS), optical coherence tomography angiography (OCTA), macular ganglion cell-inner plexiform layer (mGCIPL), macular superficial microvasculature, vessel density (VD), perfusion density (PD)

Citation: Hu Z, Zhu L, Xu J, Wei J, Wu S, Dai Q and Xu Q (2023) Early changes of ganglion cell-inner plexiform layer thickness and macular microvasculature in Posner-Schlossman syndrome: a binocular control study by OCTA. Front. Med. 10:1169504. doi: 10.3389/fmed.2023.1169504

Received: 19 February 2023; Accepted: 10 July 2023;
Published: 24 July 2023.

Edited by:

Jiangyue Zhao, China Medical University, China

Reviewed by:

Maddalena De Bernardo, University of Salerno, Italy
Marina Vladimirovna Zueva, Helmholtz Moscow Research Institute of Eye Diseases (NMITS GB), Russia

Copyright © 2023 Hu, Zhu, Xu, Wei, Wu, Dai and Xu. 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: Shuangqing Wu, shuangqingwu@zju.edu.cn; Qi Dai, dq@mail.eye.ac.cn; Qibin Xu, hzeyes@126.com

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