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Erschienen in: Ophthalmology and Therapy 1/2024

Open Access 09.11.2023 | ORIGINAL RESEARCH

Long-Term Quantitative Analysis of Inner Retinal Dimples and Visual Function Post Internal Limiting Membrane Peeling in Macular Diseases

verfasst von: Yubo Wu, Yiqi Chen, Jianbo Mao, Xin Ye, Huan Chen, Zhaokai Xu, Lijun Shen

Erschienen in: Ophthalmology and Therapy | Ausgabe 1/2024

Abstract

Introduction

Inner retinal dimples (IRDs) are frequently detected after internal limiting membrane (ILM) peeling. However, the distribution of IRDs and its effect on postoperative visual function remain unclear. We aim to quantify the distribution of IRDs after ILM peeling in different macular diseases and analyze its influence on postoperative visual function.

Methods

We retrospectively reviewed patients undergoing vitrectomy with ILM peeling and followed up until 12 months in our center. The distribution of IRDs were quantitatively determined using optical coherence tomography (OCT) and OCT angiography in a different sector of Early Treatment Diabetic Retinopathy Study grid. Visual function was evaluated by retinal sensitivity (RS) using microperimetry. Spearman correlation was performed between RS and IRDs within the same sectors. Multivariate linear regression analysis was performed to analyze the association between baseline characteristics and IRDs.

Results

A total of 43 idiopathic macular hole (iMH) cases, 56 idiopathic epiretinal membrane (iERM) cases and 42 myopic foveoschisis (mFS) cases were included. IRDs increased gradually at ILM-peeled area, interrupting ganglion cell layer. Most IRDs were observed in temporal sector. A negative correlation was depicted between the increase of IRDs and the progress of RS at both perifovea and parafovea in iERM, but only at perifovea in iMH. No significant correlation between the change of IRDs and RS was found in mFS. Multivariable linear regression model showed that preoperative axial length was significantly associated with postoperative IRDs in all patients.

Conclusions

IRDs distributed mostly at temporal sector after ILM peeling, interrupting ganglion cell layer. IRD progression may influence postoperative RS only in iMH and iERM. Ophthalmologists may avoid temporal sector especially in eyes with normal axial length or strong ILM–ERM adherence.
Key Summary Points
Why carry out this study?
Internal limiting membrane (ILM) peeling is a widely acknowledged procedure in the treatment for traction maculopathies. Inner retinal dimples (IRDs) are often detected postoperatively. However, the distribution of IRDs and its effect on visual function remain unknown.
In this study, we explore the natural course and distribution of IRDs after ILM peeling and hypothesize that IRDs may influence visual function.
What was learned from this study?
IRDs were distributed mostly at the temporal sector of the ILM peeled area after surgery. Ophthalmologists may avoid temporal sector of fovea during ILM peeling.
The progression of IRDs may influence postoperative retinal sensitivity (RS) in idiopathic macular hole (iMH) and idiopathic epiretinal membrane (iERM).

Introduction

Internal limiting membrane (ILM) peeling provides promising therapeutic outcomes in macular disease, such as increasing the closure rate of idiopathic macular hole (iMH), reducing the recurrence of idiopathic epiretinal membrane (iERM), assisting foveal reattachment in myopic foveoschisis (mFS). However, the effect of ILM peeling on visual function remains controversial [1]. ILM peeling has been reported to be associated with the decrease of macular thickness [2] and the recovery postponement of b-wave amplitudes in focal macular electroretinograms [3]. In 2001, Tadayoni et al. [4] first found inner retinal dimples (IRDs) on a B-scan of optical coherence tomography (OCT) after epiretinal membrane removal, which coincided with the dark arcuate striae along the course of the optic nerve fibers on a C-scan of OCT, which was the so called “dissociated optic nerve fiber layer (DONFL).” Since then, IRDs (or DONFL) have been reported to appear after ILM peeling in various diseases [57]. Some studies [810] pointed out that IRDs might contribute to the decrease of visual function after ILM peeling. Others [1113] insisted no difference in retinal sensitivity (RS) between arcuate striae and normal retina. However, the majority of previous studies only depicted IRDs in iMH, overlooking other macular diseases such as iERM and mFS. Additionally, the measure equipment or method in the above-mentioned studies may have failed to detect a mild degree of inner retinal defect in whole ILM peeling area. Using the newest Nidek’s microperimetry (MP-3), we previously confirmed high incidence of scotomas in iMH patients with IRDs [7]. Nevertheless, the natural course of IRDs after ILM peeling and its impact on visual function in other macular diseases remain uncertain.
In the present study, we evaluated IRDs and RS in different sectors using optical coherence tomography angiography (OCTA), spectral-domain optical coherence tomography (SD–OCT), and MP-3 at multiple postoperative timepoints in patients with iMH, iERM, or mFS undergoing pars plana vitrectomy (PPV) combined with ILM peeling. We aimed to investigate the pattern of postoperative IRDs and its impact on visual function.

Methods

Ethical Approval

Procedures using medical records were conducted in accordance with the tenets of the Declaration of Helsinki and were approved by the Affiliated Eye Hospital of Wenzhou Medical University, Hangzhou, China (Ethics approval ID: H2022-014-K-14). All participants or their legal representatives signed the informed consent that their information including demographic and examination data may be used for scientific research.

Subjects

This retrospective study screened the data of 118 iERM cases, 76 iMH cases, and 66 mFS cases of patients who underwent PPV at the Affiliated Eye Hospital of Wenzhou Medical University between January 2019 and December 2022. The inclusion criteria were: (1) ILM peeling was performed during PPV, and (2) high-quality images of the postoperative macular conditions were obtained at 1, 3, 6, or 12 months (1 M, 3 M, 6 M, 12 M) after surgery. The exclusion criteria were as follows: (1) any kind of systemic diseases, (2) history of ocular trauma or ocular surgery, (3) any other retinopathy or choroidopathy, and (4) lost to more than three follow-ups of the four timepoints (1 M, 3 M, 6 M, and 12 M).

Surgical Procedure

All surgeries were performed by the same experienced surgeon (Lijun Shen). The surgical procedure consisted of a 23-gauge PPV with induced posterior vitreous detachment. After removing vitreous and checking peripheral retina thoroughly, 0.3 ml 0.025% indocyanine green (ICG) was injected into the vitreous cavity to stain the ILM for 30 s. After rinsing excess ICG, ILM was pinched at 1 optic disk (PD) away from the foveola, either superiorly or inferiorly, and peeled in a circular manner with retinal forceps. The peeled area covered approximately 3 PD in diameter. Finally, complete air–fluid exchange was performed using sterilized air. Perfluoropropane (C3F8) or silicone oil as a tamponade might be used in the discretion of the surgeon, depending on the duration of disease and retina structure on OCT image. Cataract surgery was performed in the phakic eyes if necessary.

Ophthalmological Examination

Baseline ophthalmological examinations included slit-lamp examination, intraocular pressure measurement by noncontact tonometry, best-corrected visual acuity (BCVA) by comprehensive optometry, axial length by optical biometer (Carl Zeiss Meditec), OCT (Spectralis; Heidelberg Engineering, Heidelberg, Germany), optical coherence tomography angiography (OCTA) (AngioVue; Optovue, Inc., Fremont, CA, USA), and MP-3 (NIDEK, Gamagori, Japan). Follow-up ophthalmological examinations included slit-lamp examination, intraocular pressure, BCVA, OCT, and MP-3. After the baseline visit, all postoperative examinations were performed using the “follow-up” mode.
The BCVA was recorded in decimal acuity and then converted to logarithm of the minimal angle of resolution (logMAR) value for statistical analyses. To quantify visual acuity in eyes with low vision, counting fingers’ visual acuity was assigned the logMAR units of 1.7, 1.85, 1.90, and 2.00, based on the different distances of measurement and hand motion visual acuity of 2.30 [12].

OCT and OCTA Image Acquisition and Data Analysis

To determine the quantity and distribution of IRDs and to explore the relationship between dynamic changes of IRDs with macular sensitivity, we used the Early Treatment Diabetic Retinopathy Study (ETDRS) grid to assure that en-face OCT, OCTA, and MP-3 can analyze within the same sector at each timepoint of follow-up. According to the ETDRS grid, the central 6 × 6 mm2 macular area was separated as the parafovea ring and the perifovea ring, each ring was divided into four sectors for further analysis. The parafovea ring included inner superior (S1), inner inferior (I1), inner nasal (N1), and inner temporal (T1). The perifovea ring included outer superior (S2), outer inferior (I2), outer nasal (N2), and outer temporal (T2) (Fig. 1). Based on the built-in software (AngioVue version 2017.1.0.155 software), the vessel density (VD) of the superficial capillary plexus (SCP) of OCTA images in each sector were segmented and generated automatically, noted as superficial vessel density (SVD) (Fig. 1A). The boundary of SCP was set from ILM to 9 µm below the inner plexiform layer (IPL).
To semiquantitatively evaluate the severity of IRDS, the 6 × 6 mm2 area was further divided into 20 × 20 squares of the same size [14]. The number of the grids containing IRDs was counted manually in each ETDRS subfield (Fig. 1B, Fig. 2). The depth of IRDs was clarified by cross-sectional OCT images of macular foveal pit.

MP-3 Image Acquisition and Data Analysis

RS values were obtained by the 4–2–1 staircase strategy with a Goldmann III size stimulus. The total of 61 stimulus points covered 20 degrees of visual field. A customized method of two concentric circles was used to delimit 10 degrees and 20 degrees diameter to set up correspondence with parafovea and perifovea, respectively [7, 15]. Thus, 28 points were defined in a 10-degree area (1 point at foveal center was excluded on account of avoiding repeat measurement), and 32 points were defined in area between 10 and 20 degrees. Then, each concentric circle area was equally divided into four sectors according to the ETDRS grid, with parafovea sector having 7 points and perifovea sector having 8 points. The average sensitivity (dB) in parafovea, perifovea, and each sector was computed (Fig. 1C: foveal center: 1 point at the center. Parafovea: 28 points in 10 degrees area, the area inside the smaller white circle. Perifovea: 32 points in the area between 10 and 20 degrees, the ring between the two white circles). When calculating RS at each sector, we counted points on the left border line of ETDRS subfield but excluded those on the right border line for right eyes, and vice versa (Fig. 3).

Statistical Analysis

Statistical analysis was performed by Statistical Package for the Social Sciences (SPSS, IBM Corporation, Chicago, IL, USA) statistical software version 25.0. Categorical variables were expressed as number (%). Descriptive statistics with and without normal distribution were expressed as mean ± standard (SD) and median (P25, P75), respectively. Data were compared between groups by χ2 test, Kruskall–Wallis test, or one-way analysis of variance (ANOVA) test, as appropriate. The change of BCVA, IRDs, and RS at each follow-up month was defined as subtracting the preoperative data from the postoperative data, marked with prefix “Δ.” Repeated measures analysis of variance was used to evaluate differences in the chronologic data. The correlations between the change of IRDs and RS were evaluated using Spearman correlations. A multivariate linear regression model was performed to analyze the association between baseline characteristics and the number of IRDs after adjusting for covariates with p < 0.1 in univariate analysis. A p value less than 0.05 was considered statistically significant.

Results

Patient Demographic and Clinical Characteristics

As shown in Fig. 4, a total of 141 eyes from 141 patients were included in the current study, consisting of 43 iMH cases, 56 iERM cases, and 42 mFS cases. Reasons for the missing data in the follow-ups included: patients’ routine follow-ups were competed at other hospitals, temporary traffic restrictions during the course of coronavirus disease 2019 (COVID-19) pandemic, patients suffered from other health issues, or patients were not contactable. The baseline characteristics are shown in Table1. There were significant differences in age (p < 0.001), axial length (p < 0.001) and preoperative BCVA (p < 0.001), tamponade substance during surgery (p = 0.003), parafovea SVD (p = 0.014), parafovea RS (p < 0.001), and perifovea RS (p < 0.001) among three diseases.
Table 1
Clinical characteristics of patients in three groups
Clinical characteristics
iMH (n = 43)
iERM (n = 56)
mFS (n = 42)
p value
Age (years)
60.6 ± 12.0
63.9 ± 10.3
54.1 ± 10.9
 < 0.001
Sex female
35 (81.4)
44 (78.6)
33 (78.6)
0.930
Duration of symptom (months)
6 (2.4, 12)
12 (6, 36)
12 (3.6, 36)
0.002
Axial length (mm)
23.33 (22.69, 24.31)
23.34 (22.54, 23.91)
28.20 (26.76, 30.43)
 < 0.001
Preoperative BCVA (logMAR)
0.80 (0.50, 1.00)
0.50 (0.30, 0.50)
0.70 (0.40, 1.00)
 < 0.001
Phacoemulsification
40 (97.7)
52 (92.9)
39 (92.9)
0.114
Tamponade substance
   
0.003
 Fluid, air exchange
38 (88.4)
55 (98.2)
32 (76.2)
 C3F8
5 (11.6)
1 (1.8)
5 (11.9)
Silicone oil
0 (0.0)
0 (0.0)
5 (11.9)
SVD
    
Parafovea SVD
51.1 (45.8, 54.0)
47.9 (44.7, 50.9)
47.8 (12.8, 52.7)
 
 Perifovea SVD
48.3 (44.9, 51.4)
50.1 (46.3, 52.9)
48.3 (39.8, 52.2)
0.014
RS (dB)
   
0.380
 Parafovea RS
21.0 (19.2, 23.2)
22.6 (20.9, 24.3)
19.6 (16.2, 23.1)
 
 Perifovea RS
24.8 (21.7, 25.7)
22.5 (24.2, 19.6)
21.9 (16.3, 23.7)
 < 0.001
BCVA best corrected visual acuity, C3F8 perfluoropropane, SVD superficial vessel density, RS retina sensitivity, iMH idiopathic macular hole, iERM idiopathic epiretinal membrane, mFS myopic foveoschisis

The Progression and Distribution of IRDs

None of the patients had IRDs preoperatively. All patients (100%) had IRDs after surgery at ILM-peeled area. Postoperative OCT images showed the depth IRDs went through the ganglion cell layer (GCL) without reaching IPL (Fig. 5 A–C).
Figure 6 showed the number and distribution of IRDs in three diseases Table 2. The number of IRDs increased constantly within 6 months after surgery in all three diseases. Patients with iMH presented with the most IRDs across all the timepoints, whereas those with mFS presented with the least IRDs.
Table 2
The total number of IRDs in three diseases at each timepoint
 
iMH
iERM
mFS
p value
1 M
31 (12, 72)
38 (19, 57)
17 (7, 34)
0.007
3 M
66 (46, 101)
57 (29, 100)
49 (28, 73)
0.209
6 M
82 (59, 128)
76 (53, 116)
62 (34, 93)
0.065
12 M
92 (62, 148)
97 (62, 124)
49 (25, 77)
0.003
IRDs inner retinal dimples, iMH idiopathic macular hole, iERM idiopathic epiretinal membrane, mFS myopic foveoschisis
Figure 7A–C showed the distribution of IRDs in three diseases. In iMH, most IRDs were found in temporal sectors in both parafovea and perifovea (parafovea: p = 0.008 at 1 M, p = 0.01 at 3 M, p = 0.004 at 6 M, and p = 0.006 at 12 M; perifovea: p < 0.001 at 1 M, p = 0.006 at 3, p = 0.015 at 6 M, and p = 0.01 at 12 M) (Fig. 7A). In iERM, most IRDs were found in temporal sectors in both parafovea and perifovea (parafovea: p < 0.001 at 1 M, p = 0.001 at 3 M, p = 0.042 at 6 M, and p = 0.003 at 12 M; perifovea: p < 0.001 at 1 M, 3 M, 6 M, 12 M) (Fig. 7B). In mFS, most IRDs were found in T1 of parafovea across all the timepoints, although statistical significance was not reached. In perifovea, most IRDs were found in T2 (p = 0.009 at 1 M, p < 0.001 at 3 M) during follow-up (Fig. 7C).

Visual Function After Surgery

The mean BCVA and foveal macular RS improved after surgery in all patients (Fig. 8A, B; Table 3). In iMH and mFS, RS was only improved in parafovea but not perifovea. In iERM, however, no significant improvement of RS was observed in parafovea or perifovea (Fig. 8C, D; Table 4).
Table 3
BCVA at each timepoint in three diseases
 
iMH
iERM
mFS
p value
Baseline
0.80 (0.50, 1.00)
0.50 (0.30, 0.50)
0.70 (0.40, 1.00)
 < 0.001
1 M
0.50 (0.30, 0.70)
0.30 (0.20, 0.40)
0.40 (0.30, 0.70)
0.002
3 M
0.30 (0.20, 0.50)
0.15 (0.10, 0.30)
0.40 (0.20, 0.70)
 < 0.001
6 M
0.30 (0.20, 0.40)
0.10 (0.00, 0.20)
0.35 (0.15, 0.70)
 < 0.001
12 M
0.30 (0.20, 0.50)
0.10 (0.00, 0.20)
0.40 (0.15, 0.70)
 < 0.001
BCVA best corrected visual acuity, iMH idiopathic macular hole, iERM idiopathic epiretinal membrane, mFS myopic foveoschisis
Table 4
RS at each each timepoint in three diseases
 
Baseline
1 M
3 M
6 M
12 M
pa value
Fovea
      
 iMH
7.0 (0.0, 15.0)
15.0 (11.0, 19.0)
21.0 (17.0, 23.0)
21.0 (17.0,25.0)
21.0 (15.0, 24.0)
 < 0.001
 iERM
17.0 (14.0, 19.5)
19.0 (17.0, 22.3)
21.0 (19.0, 23.0)
23.0 (19.0, 23.0)
23.0 (19.0, 24.0)
0.046
 mFS
11.0 (2.3, 17.0)
13.0 (7.0, 17.0)
15.0 (11.0, 19.0)
17.0 (13.0, 23.0)
17.0 (7.0, 25.0)
0.029
Parafovea
      
 iMH
21.0 (19.2, 23.2)
21.6 (19.4, 23.7)
23.8 (21.6, 24.9)
23.8 (21.5, 25.8)
23.0 (20.1, 25.6)
 < 0.001
 iERM
22.6 (20.9, 24.3)
23.2 (21.6, 24.5)
23.8 (21.9, 24.8)
23.2 (21.5, 24.4)
23.4 (20.9, 24.9)
0.874
 mFS
19.6 (16.2, 23.1)
17.4 (14.5, 22.5)
19.9 (15.9, 22.6)
20.6 (16.5, 24.3)
20.4 (16.6, 25.2)
0.023
Periovea
      
 iMH
24.8 (21.7, 25.7)
22.1 (20.5, 24.5)
23.6 (21.9, 25.2)
23.9 (21.2, 24.7)
23.5 (19.5, 24.4)
 < 0.001
 iERM
22.5 (24.2, 19.6)
23.0 (21.6, 24.7)
23.9 (21.3, 25.7)
23.9 (20.5, 24.6)
22.4 (18.2, 24.7)
0.738
 mFS
21.9 (16.3, 23.7)
16.6 (13.0, 22.8)
19.5 (13.5, 23.6)
19.6 (12.3, 23.7)
19.9 (15.3, 22.9)
0.306
RS retinal sensitivity, iMH idiopathic macular hole, iERM idiopathic epiretinal membrane, mFS myopic foveoschisis
aAnalysis of variance for repeated measurements
In parafovea, the difference of ΔRS in each sector was not significant among all patients during follow-up. In perifovea, the difference of ΔRS in each sector was not significant in iERM or mFS. However, a significant difference in ΔRS among different sectors was observed in iMH, with T2 being most pronounced across all the timepoints (p = 0.001 at 1 M, p = 0.001 at 3 M, p = 0.011 at 6 M, p = 0.007 at 12 M) (Fig. 9).

Association Between the Change Value of IRDs and RS

As shown in Table 5, in iMH, the number of IRDs was negatively associated with the change of RS in perifovea at 1 M, 3 M, 6 M, and 12 M. In iERM, the number of IRDs was negatively correlated with the change of RS in parafovea and perifovea at 3 M, 6 M, and 12 M. In mFS, however, no significant relationship could be established between the IRDs and RS at parafovea or perifovea postoperatively.
Table 5
Association between the change value of IRDs and RS
 
ΔIRDs of iMH
ΔIRDs of iERM
ΔIRDs of mFS
 
ΔRS
Parafovea
Perifovea
Parafovea
Perifovea
Parafovea
Perifovea
1 M
r = –0.088, p = 0.288
r = –0.026, p = 0.120
r = 0.062, p = 0.448
r = –0.106, p = 0.235
r = 0.158, p = 0.090
r = –0.048, p = 0.609
3 M
r = –0.267, p = 0.001
r = –0.166, p = 0.039
r = –0.257, p = 0.003
r = – 0.251, p = 0.004
r = –0.126, p = 0.210
r = –0.172, p = 0.087
6 M
r = –0.021, p = 0.838
r = –0.298, p = 0.002
r = –0.221, p = 0.030
r = –0.302, p = 0.019
r = –0.107, p = 0.301
r = –0.060, p = 0.563
12 M
r = –0.208, p = 0.042
r = –0.306, p = 0.002
r = –0.301, p = 0.047
r = –0.324, p = 0.025
r = –0.058, p = 0.636
r = –0.095, p = 0.442
IRDs inner retinal dimples, RS retinal sensitivity, iMH idiopathic macular hole, iERM idiopathic epiretinal membrane, mFS myopic foveoschisis

Baseline Characteristics Related to IRDs

To figure out risk factors associated for early and late stage of IRDs improvement, we analyzed the association between baseline characteristics and IRDs at 1 M and 12 M. As shown in Table 6, univariate analysis showed that axial length and SVD at baseline were significantly associated with IRDs at 1 M and 12 M. After adjusting for potential confounders, multivariable linear regression model showed that that baseline axial length was significantly associated with IRDs at both 1 M and 12 M (1 M: β = −0.226, p = 0.026; 12 M: β = −0.284, p = 0.038) (Table 7).
Table 6
Univariate analysis of demographic, clinical, and morphological baseline data with postoperative IRDs
 
1 M
12 M
Age
r = 0.111
p = 0.217
r = –0.002
p = 0.987
Sex
 
p = 0.668
 
p = 0.176
 Male
36 (9, 54)
109 (57, 133)
 Female
24 (12, 53)
71 (44, 109),
Duration of symptom
r = – 1.121
p = 0.176
r = –0.073
p = 0.528
Axial length
r = –0.272
p = 0.002
r = –0.316
p = 0.005
Tamponade substance
 
p = 0.068
 
p = 0.432
Fluid, air exchange
30 (12, 55)
75 (47, 121)
C3F8
28 (8, 39)
79 (13, 88)
Silicone oil
9 (2,17)
51 (27, 89)
SVD
r = 0.183
p = 0.046
r =0.130 
p = 0.257
IRDs inner retinal dimples, C3F8 Perfluoropropane, SVD superficial vessel density
Table 7
Linear regression analysis for variables related to postoperative IRDs
 
1 M
12 M
 
β
95% CI
p value
β
95% CI
p value
Axial length
–0.251
–5.036, 0.699
0.010
–0.293
–9.746, –0.837
0.020
SVD
0.278
–0.787, 1.343
0.607
–0.067
–1.261, 2.200
0.591
IRDs inner retinal dimples, SVD superficial vessel density, CI confidence interval

Discussion

In the present study, we found that IRDs increased gradually at ILM-peeled area with time in iMH, iERM, and mFS. Most IRDs distributed in temporal sector in both perifovea and parafovea, interrupting the ganglion cell layer. The progress of IRDs may influence postoperative RS only in iMH and iERM. Then we identified that baseline axial length was a protective factor for IRDs after ILM peeling.
Our results showed that IRDs occurred at superficial layer of inner retina at 1 M and gradually went through GCL. ILM is composed of vitreous-facing endfoot membranes of Müller cells and basal lamina [16]. Histopathological studies [17, 18] showed that cellular fragments belonging to Müller cells appeared on the retinal side of peeled ILM. In vitro, Taylor et al. [19] emphasized the importance of physical support by ILM in maintaining the structure of inner retina. In vivo, the endfoot of Müller cells contain enormous mechanosensitive ion channels [20] and the processes of Müller cells penetrate nearly whole layers of retina as “bridges” with photoreceptor’s axons [21]. Once biomechanical changes were detected, mechanosensitive channels may transfer certain signals to the entire retina. The loss of inner retina mechanic support might influence the layer near RNFL initially and then expand along the processes of Müller cells to the entire retina layers. Thus, we suspected that the lack of support in inner retina, stimulation of stretch force, and damage to the endfoot of Müller cells might contribute to the formation of IRDs. Nevertheless, we found that IRDs did not reach IPL, which might be because the supracellular alignment of tissue redistributes mechanical energy before it reaches the nucleus [22].Previous electron microscopic findings showed [23] that the perikaryons of Müller cells are located in the inner nuclear layer. To note, the follow-up period of our study is 12 months. Future study with prolonged follow-up is needed to investigate whether IRDs would expand along the processes of Müller cells in the long run.
Most IRDs were found in temporal sector in both perifovea and parafovea in our study, which might be explained by the following reasons. First, histological studies showed that the Henle fiber layer (HFL), which was composed of the processes of Müller cells, horizontally extends the most in the temporal retina and least in nasal retina [16], making the processes of Müller cells more prone to contraction and degeneration. Besides, Veronese et al. [24] found that the nasal side of the fovea was more resistant to traction because nerve fibers and retinal ganglion cells (RGCs) were bound together closely in the papilla–macular bundle, which may make it difficult for dimples at the nasal subfield to “sink” widely. In addition, the retina thinning was mostly seen in the temporal subfield after ILM peeling [2527], because of foveal displacement toward optic disc. The thinner retina in temporal field might make it more prone to contracting damage, thus forming more IRDs.
Next, we investigated the change of visual function after ILM peeling. Great improvement in BCVA was observed in all patients. However, RS was improved only in parafovea of iMH and mFS. No improvement in RS was observed in the perifovea, particularly in the temporal sector of iMH (RS actually declined with time after ILM peeling; Fig. 9). Ultrastructure research [16, 28] showed that Müller cells in HFL supported structural stability through increasing compliance and resistance by its “z-shape” at the parafovea. In contrast, at the perifovea, shorter Müller cells aligned in a vertical pattern as pillars, through which it was easier to transmit mechanical stress directly to photoreceptors without a “z-shaped” “spring buffer.” Furthermore, the densities of photoreceptor and RGCs were less in the temporal sector compared with the nasal retina [29], resulting in the insufficient compensation of light path in this area.
This study illustrated a negative correlation between IRDs and RS beyond central fovea in iMH or iERM, which might explain why some patients experienced scotoma and metamorphopsia after ILM peeling. IRDs were possibly secondary to damage in Müller cells. Being interposed by neurons and photoreceptors, Müller cells participate in light transmitting through endfeet to main process as “optical fiber” and lend support to surrounding microenvironment functionally and metabolically [16, 21, 30]. ILM peeling might damage the endfoot of Müller cells, hampering the microenvironment of RGCs, causing anoikis and eventually leading to the loss of visual function [3133]. To support this, Akino et al. [34] confirmed that visual field defects were associated with GCL thinning in iMH after ILM peeling. However, no significant correlation between IRDs and RS was found in mFS, which might be due to the low IRDs count after ILM peeling.
We also explored the relationship between preoperative factors and IRDs, finding a significant negative correlation between axial length and IRDs at 1 M and 12 M. Also, patients with mFS presented the least IRDs across all the timepoints, which lent further support of the effect of axial length on postoperative IRDs. Long-term elongated axial length would enhance Müller cell gliosis [35]. The overstretch of Müller cell processes along with HFL may compromise the capacity of photoreceptors synapses [28]. Hence, we hypothesized that the retina in mFS might have already adapted to low metabolic demands under abnormal Müller cells, downregulating the mechanical influence caused by tearing the glial endfoot of Müller cells.
To our knowledge, this is the first study to quantitatively compare inner retina defect after ILM peeling combined with PPV among iMH, iERM, and MFS. Based on the findings of our study, we consider that ophthalmologist may be more conservative in the temporal sector during ILM peeling, especially in patients with normal axial length and adherent ILM–ERM. Future studies may pay attention to the biomechanical importance of ILM and extracellular matrix components of the inner retina to gain further insights into the pathogenesis of IRDs after ILM peeling.
Our study has several limitations, the first being that is a single-center retrospective study with relatively small sample size. Multicenter studies with larger sample sizes are warranted in the future. Second, all the procedures were completed by the same surgeon in our study, which limits the generalizability of our results. However, this assured the homogeneity of procedures. Additionally, it is reported that ICG may have adverse effects on retina. Therefore, we cannot be sure that the formation of IRDs is purely the result of mechanical stretch, since the dye only stays within eyes for less than 30 s. Future studies need to investigate IRDs after ILM peeling using a dye other than ICG.

Conclusions

Our study suggests that ophthalmologists may avoid the temporal sector of parafovea and perifovea, especially in eyes with normal axial length or strong ILM–ERM adherence during ILM peeling.

Declarations

Conflict of Interest

Yubo Wu, Yiqi Chen, Jianbo Mao, Xin Ye, Huan Chen, Zhaokai Xu, and Lijun Shen declare that they have no conflict of interest.

Ethical Approval

Procedures using medical records were conducted in accordance with the tenets of the Declaration of Helsinki and were approved by the Affiliated Eye Hospital of Wenzhou Medical University, Hangzhou, China (ethics approval ID: H2022-014-K-14). All participants or their legal representatives signed the informed consent that their information including demographic and examination data may be used for scientific research.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by-nc/​4.​0/​.
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Metadaten
Titel
Long-Term Quantitative Analysis of Inner Retinal Dimples and Visual Function Post Internal Limiting Membrane Peeling in Macular Diseases
verfasst von
Yubo Wu
Yiqi Chen
Jianbo Mao
Xin Ye
Huan Chen
Zhaokai Xu
Lijun Shen
Publikationsdatum
09.11.2023
Verlag
Springer Healthcare
Erschienen in
Ophthalmology and Therapy / Ausgabe 1/2024
Print ISSN: 2193-8245
Elektronische ISSN: 2193-6528
DOI
https://doi.org/10.1007/s40123-023-00837-3

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