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ORIGINAL ARTICLE
Year : 2019  |  Volume : 67  |  Issue : 10  |  Page : 1657-1662

Structural evaluation of perimetrically normal and affected hemifields in open angle glaucoma


1 Department of Glaucoma, Sarakshi Netralaya, Nagpur, Maharashtra, India
2 Department of Retina, Sarakshi Netralaya, Nagpur, Maharashtra, India
3 Department of Data Analysis, MDS Biostatistics, Nagpur, Maharashtra, India

Date of Submission09-Nov-2019
Date of Acceptance30-Apr-2019
Date of Web Publication23-Sep-2019

Correspondence Address:
Dr. Gunjan Deshpande
Department of Glaucoma, Sarakshi Netralaya, Nagpur, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijo.IJO_1755_18

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  Abstract 


Purpose: To study macular ganglion cell layer--inner plexiform layer complex (GCL + IPL) in relation to peripapillary retinal nerve fiber layer (RNFL) in glaucomatous eyes with superior or inferior hemifield defects (HD) and to study structural configuration in normal hemifield. Methods: This was an observational cross-sectional study. Data from consecutive 45 superior HD (SHD) and 50 inferior HD (IHD) eyes were analyzed. Each patient underwent detailed ocular examination, standard automated perimetry, and spectral domain optical coherence tomography (SD-OCT). After adjusting for age, gender, and signal strength, area under receiver operating characteristic curve (AUC) was calculated to determine diagnostic ability of GCL + IPL and peripapillary RNFL. Apparently normal hemifield was compared with true normal hemifield. Data were analyzed with SPSS, analysis of variance, t-test, Chi-square test, and receiver operating curve. Results: In the SHD glaucoma group, best parameters for discriminating normal eyes from glaucomatous eyes were inferotemporal GCL + IPL thickness (0.935) and inferior quadrant RNFL thickness (0.971). For IHD glaucoma, average GCL + IPL thickness (0.877) and average RNFL thickness (0.950) had best AUC values. When evaluating apparently normal hemifield in both groups, statistically significant difference was found in inferior GCL + IPL sector (0.865) and inferior quadrant RNFL (0.883) in IHD and superonasal GCL + IPL (0.725) and superior quadrant RNFL (0.842) in SHD groups. Conclusion: SD-OCT may be a useful ancillary diagnostic tool for evaluation of early macular and circumpapillary structural changes in glaucomatous eyes with localized visual field defects. Apparently normal hemifields show structural damage and should be considered in management of glaucoma.

Keywords: Ganglion cell layer--inner plexiform layer, inferior hemifield, retinal nerve fiber layer, superior hemifield


How to cite this article:
Deshpande G, Bawankule P, Raje D, Chakraborty M, Gupta R. Structural evaluation of perimetrically normal and affected hemifields in open angle glaucoma. Indian J Ophthalmol 2019;67:1657-62

How to cite this URL:
Deshpande G, Bawankule P, Raje D, Chakraborty M, Gupta R. Structural evaluation of perimetrically normal and affected hemifields in open angle glaucoma. Indian J Ophthalmol [serial online] 2019 [cited 2019 Oct 21];67:1657-62. Available from: http://www.ijo.in/text.asp?2019/67/10/1657/267398



Glaucoma is a progressive optic neuropathy characterized by optic nerve head (ONH) damage, retinal nerve fiber layer (RNFL) loss, and corresponding visual field (VF) defects. More than two decades ago, Quigley et al demonstrated that 40% axonal loss may occur before any detectable change in visual function with perimetry.[1] Studies have shown that both macular ganglion cell complex (GCC) and RNFL can be used for the diagnosis of early and preperimetric glaucoma.[2]

Significant advances in imaging have led to quantitative measurements of these structures. OCT is a noninvasive, noncontact, transpupillary imaging technology that can image retinal structures in vivo with a resolution of 8--10 micron. Recent data have shown that macular thickness changes are detectable in glaucomatous eyes using OCT and are well correlated with changes in visual function and peripapillary RNFL atrophy.[3]

Glaucoma hemifield defect is an interesting entity in which one half of the hemifield is damaged on perimetry and the other half appears apparently unaffected. Several studies have shown the presence of diffuse glaucomatous RNFL atrophy in eyes with localized visual field abnormalities.[4] Such studies have led to speculation that the GCC of glaucomatous eyes also exhibit diffuse atrophy in normal visual hemifields with localized visual field loss.[4] There are a handful of studies analyzing the structural parameters in such patients and even lesser in examination of the perimetrically normal hemifield.

We designed this study to evaluate the RNFL and GCL + IPL structural parameters in eyes (1) with localized glaucomatous damage limited to either hemifield and (2) the other perimetrically normal hemifield.


  Methods Top


Participants

This was a hospital-based cross-sectional study performed at a tertiary care center from central India and included patients who presented between December 2015 and May 2017. All the patients underwent a detailed ocular examination comprising visual acuity, cycloplegic refraction, slit-lamp examination, indirect ophthalmoscopy, intraocular pressure with Goldmann's Applanation Tonometer, 4 mirror indentation gonioscopy with 4 mirror Sussman's Gonioscope, optic nerve head evaluation with slit-lamp biomicroscopy using 78D non-contact lens. Visual fields were mapped using Humphrey Visual Field Analyzer, Carl Zeiss Meditec with the 24-2 Swedish Interactive Threshold Algorithm (SITA) standard program, and spectral domain OCT (SD-OCT) examinations were performed with Cirrus SD-OCT, Carl Zeiss Meditec.

Inclusion and exclusion criteria

The inclusion criteria were: age more than 18 years, best corrected visual acuity of Snellens >6/12 (logMAR < 0.3), refractive error (under cycloplegia) between −6 DS myopia and +4 DS hyperopia, normal and quiet anterior chamber on slit-lamp examination, open anterior chamber angles on indentation gonioscopy with normal structures, phakic and uncomplicated pseudophakic eyes, standard automated perimetry (SAP) test with reliable indices, SD-OCT with signal strength ≥4, and absence of artifacts in the examination circle. Excluded were the patients with media opacity, history of trauma, history of any intraocular surgery including complicated pseudophakia, retinal pathology affecting macula, previous laser therapy, neurologic disease that could affect the visual field, medications known to affect visual field sensitivity, or with problems that affect color vision. Controls were eyes with no history of ocular disease, an intraocular pressure (IOP) of ≤21 mmHg, a normal-appearing optic disc, and normal SAP (reliable indices, no points in pattern classic for glaucoma in pattern deviation plot and GHT within normal limits) and OCT (signal strength of 4 or more, no RNFL defects and normal TSNIT curve) test results.

Definition of hemifield defect

A glaucoma hemifield defect (HD) was defined as follows: (1) 3 adjacent points with P < 5% and at least 1 with P < 1% or smaller on the pattern deviation probability map of a superior or inferior hemifield; (2) no point with P < 1% or smaller on the pattern deviation probability map of the opposite hemifield; and (3) a glaucoma hemifield test result that was outside of the normal limits. VF results were considered reliable if fixation loss were <15%, a false-positive <15%, and false-negative <15%.

OCT procedure

OCT image acquisition was carried out after pupillary dilation by a single operator. Images with signal strength <5, lost data on the peripapillary ring, motion artifact, or incorrect segmentation were excluded. The Optic Disc Cube 200 × 200 consisted of 40,000 axial scans (in a 6 × 6 × 2 mm cube) centered on the optic disc. Average RNFL thickness and RNFL thickness in quadrants on a measurement circle 3.46 mm in diameter were calculated, and their deviation from a normative database was provided in a color-coded scheme. RNFL pseudocolor thickness maps and deviation maps for the 6 × 6 mm area were also provided. The RNFL parameters identified were average RNFL thickness, superior, inferior, temporal, and nasal RNFL quadrant thicknesses.

The GCL + IPL analysis available on the Cirrus software version 6.0 (or higher) measured the combined thickness of GCL and IPL in a 4.8 × 4.0 mm oval with a longer horizontal axis. It provided measurements in 6 wedge-shaped sectors after excluding the central foveolar region (1 mm in diameter) along with a pseudocolor scheme for the GCL + IPL thickness. A deviation map also flagged abnormally thin areas within the oval area as yellow (P < 5%) or red (P < 1%) superpixels. The parameters found were average GCL + IPL, minimum GCL + IPL, and sector measurements (superonasal, superior, superotemporal, inferonasal, inferior, and inferotemporal).

Images with signal strength <4, eye movements, blinking artifacts, and segmentation failure were excluded from the study.

Statistical methods

Patient characteristics were compared across normal, inferior hemifield defect (IHD), and superior hemifield defect (SHD) groups statistically according to scales of measurement. Further, sector-wise thickness on GCL + IPL and RNFL were compared between these groups after adjusting for signal strength, gender, age, and mean deviation using analysis of covariance. Receiver operating characteristic curve analysis was performed on each thickness parameter to differentiate normal and IHD as well as normal and SHD glaucoma eyes. The statistical comparison between two AUCs was also performed. All the analyses were performed using R-3.4.3 (R Core team 2017, Vienna, Austria).


  Results Top


The study involved 34 subjects with normal eyes and 95 with glaucomatous eyes. Among 95, IHD was present in 50 (52.6%) patients, while SHD was present in 45 (47.4%) patients. The descriptive statistics for demographic features are given in [Table 1]. The mean age of patients showed statistically significant difference between normal group and each glaucomatous group (P = 0.0118, P = 0.0013); however, the difference in the mean age between IHD and the SHD was statistically insignificant. The gender distribution was insignificantly different across three groups. A total of 65 eyes of 34 normal subjects, 55 eyes of 50 patients with IHD, and 60 eyes of 45 patients with SHD were considered in the study. The parameters MD and PSD were significantly different between normal and each defect group (P < 0.0001). Also, the MD differed significantly between IHD and SHD (P = 0.019), while PSD was insignificantly different between two groups.
Table 1: Characteristics of subjects in normal and glaucomatous groups

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The comparison of signal strength and sector-wise thickness across three groups is shown in [Table 2]. The mean signal strength (SS) for GCL + IPL was significantly lower in IHD and SHD groups as compared with normal group (P < 0.0001). The sector-wise mean thickness after adjusting with signal strength, age, and MD showed statistically significant difference between normal and each glaucomatous group (P < 0.0001). The inferior quadrant (inferior, inferior temporal) and minimum GCL + IPL parameter were also significantly different between the IHD and SHD groups (P < 0.0001).
Table 2: Comparison of GCL + IPL and RNFL thickness for normal and glaucomatous eyes

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On analyses, the average RNFL thickness was significantly smaller in IHD and SHD groups as compared with normal group. Similar were the observations for four quadrants (superior, nasal, inferior, and temporal). The mean thickness of all the sectors of macula showed statistically significant difference between normal and IHD group. The inferior quadrant of SHD group was significantly thinner than those of the normal group.

The AUCs for thickness measurements at different sites obtained for GCL + IPL and RNFL to differentiate each glaucoma group from normal eyes are shown in [Table 3]. When studying IHD, for GCL + IPL, the parameter average GCL + IPL had the maximum AUC of 0.877 [95% CI: 0.808--0.945]. For RNFL, the average RNFL thickness was the best discriminator with AUC of 0.950 [95% CI: 0.913--0.987].
Table 3: Area under the Receiver Operating Characteristic Curve values for normal and glaucomatous eyes

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On similar lines, the diagnostic strength of parameters was determined for SHD. On GCL + IPL, the best parameters were inferotemporal (0.935 [95% CI: 0.889--0.982]) and inferior quadrant for RNFL (0.971 [95% CI: 0.944--0.998]). [Figure 1]a and [Figure 1]b shows the ROC curves for the best discriminating parameters for both IHD and SHD groups in comparison with normal group.
Figure 1: (a and b) Shows the ROC curves for the best discriminating parameters for both IHD and SHD groups in comparison with normal group

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[Figure 2] shows the box-plot representation of thickness of inferior and superior parameters for normal and unaffected hemifields of IHD and SHD on GCL + IPL and RNFL. Statistically significant difference of structural parameters was observed (P < 0.0001).
Figure 2: Shows the box-plot representation of thickness of inferior and superior parameters for normal and unaffected hemifields of IHD and SHD on GCL + IPL and RNFL

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  Discussion Top


We designed this study to analyze the performance of GCL + IPL and RNFL in eyes with either superior or inferior hemifield defects. And to further evaluate the above structural parameters in the apparently normal hemifield when compared with normal population.

It has been shown recently that the GCL + IPL thickness has greater diagnostic ability in eyes with parafoveal scotoma because RNFL defects are located closer to the fovea in eyes with a parafoveal visual field defect than in eyes with peripheral scotoma.[2],[3],[4],[5],[6],[7],[8],[9],[10],[11]

In our study, we found that when analyzing the IHD group, the performance of GCL + IPL fared secondary when compared with RNFL parameters. However, the difference was small. The AUROCs of all the superior sectors (superonasal, superior and superotemporal) on GCA were lower than the AUROC of superior RNFL, as seen with previous similar study by Kim et al.[2] It is noteworthy that the best discriminating ability was found with the average thicknesses in both GCA and RNFL. The reason the authors give is in the location of the macula, which is slightly lower than the ONH, which causes asymmetry in the distribution of the RNFL between the superior and inferior retinal halves.[12],[13] Some ganglion cell damage at the superior macula, particularly in IHD glaucoma, may have been outside the measurement annulus of Cirrus OCT. Therefore, it would not be detected by the retinal GCA algorithm. The superior sector GCL + IPL thicknesses measured by Cirrus OCT, such as the superotemporal, superior, and superonasal GCL + IPL thicknesses, would not thoroughly reflect the glaucomatous damage of the superotemporal optic disc, one of the areas that is most vulnerable to glaucomatous damage [Figure 3]. It is notable that a recent study by Hwang et al. found that, if most RGCs of the peripheral retina, those farther than 4.5 mm from the fovea, have died, detection of RGC loss by GCIPL measurement will be somewhat difficult relative to pRNFL measurement.[14]
Figure 3: Retinal nerve fiber distribution

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In the SHD group, the AUC analysis showed that the performance of RNFL was comparable to the GCL + IPL. As can be expected, the inferotemporal on GCA and corresponding inferior quadrant on the RNFL analysis had the best discriminating ability. The difference was however small. The inferior quadrant on RNFL was closely followed by average RNFL thickness, which has been cited by previous similar studies.[13],[14],[15],[16],[17],[18],[19]

We also studied the structural parameters in the apparently normal hemifield in both the groups. We found that in the IHD group, the inferior temporal sector on GCA showed statistically significant difference when compared with normal. Similarly, inferior quadrant thickness on RNFL also differed significantly. Correspondingly, in the SHD group, the superonasal and superior sectors on GCA differed significantly from normal and so did superior quadrant thickness in RNFL. This indicates towards an on-going glaucomatous damage, which is not visible on perimetry (the unaffected hemifield) and must be taken into consideration when managing a glaucomatous eye with hemifield defect [Figure 4]. This structural alteration may be easily missed if the treating physician relies only on perimetry. A similar study by Takagi et al. recently reported that the macular ganglion cell complex thickness corresponding to the normal hemifield of the glaucomatous eye was significantly decreased compared with that of normal eyes of controls matched for age, sex, and refractive errors.[9] Inuzuka et al. found that macular retinal thickness decreases with a corresponding visual hemifield defect and that retinal structural changes precede the loss of the visual field in the apparently normal side.[20]
Figure 4: Eye with superior hemifield defect showing both superior and inferior RNFL and GCL + IPL loss

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The statistically significant difference between both the affected groups when studying the temporal quadrant on RNFL could not be explained.

There are potential limitations to our study. The sample size is small and large population-based studies are required for generalization of results. The MD shows statistically significant variation between the two affected groups and may be explained by the fact that we included all the stages of glaucoma: mild, moderate, and severe and hence the chances of possible skewing of data cannot be ruled out. Only eyes with high IOP were included and hence our results may not be applicable to normal tension glaucoma. There are studies that have shown that RNFL and GCC reduce with increased axial length and negative spherical equivalent; hence, we excluded eyes with refractive errors outside −6DS and +4DS. Our results may not be applicable to eyes falling beyond our criterion, especially glaucomatous eyes in high myopia.[21] In our study, we included OCT sans with SS more than 4 which may not be the case in clinical practice. All these limitations must be taken into account before interpreting OCT results for individual cases.


  Conclusion Top


In conclusion, in our study, we found that the RNFL structural analysis holds better ground than GCL + IPL, in eyes with either kind of hemifield defect. The unaffected hemifield also shows structural damage and hence should be considered when treating a similar patient.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
Quigley HA, Dunkelberger GR, Green WR. Retinal ganglion cell atrophy correlated with automated perimetry in human eyes with glaucoma. Am J Ophthalmol 1989;107:453-64.  Back to cited text no. 1
    
2.
Kim HS, Yang HY, Lee TH, Lee KH. Diagnostic value of ganglion cell-inner plexiform layer thickness in glaucoma with superior or inferior visual hemifield defects. J Glaucoma 2016;25:472-6.  Back to cited text no. 2
    
3.
Bagga H, Greenfield T. Quantitative assessment of structural damage in eyes with localized visual field abnormalities. Am J Ophthalmol 2004;137:797-805.  Back to cited text no. 3
    
4.
Begum VU, Addepalli UK, Yadav RK, Shankar K, Senthil S, Garudadri CS, et al. Ganglion cell- inner plexiform layer thickness of high definition optical coherence tomography in perimetric and preperimetric glaucoma. Invest Ophthalmol Vis Sci 2014;55:4768-75.  Back to cited text no. 4
    
5.
Dysli C, Enzmann V, Sznitman R, Zinkernagel MS. Quantitative analysis of mouse retinal layers using automated segmentation of spectral domain optical coherence tomography images. Trans Vis Sci Tech 2015;4:9.  Back to cited text no. 5
    
6.
Yang Z, Tatham AJ, Weinreb RN, Medeiros FA, Liu T, Zangwill LM. Diagnostic ability of macular ganglion cell inner plexiform layer measurements in glaucoma using swept source and spectral domain optical coherence tomography. PLoS One 2015;10:e0125957.  Back to cited text no. 6
    
7.
Hollo G, Naghizadeh F. Influence of a new software version of the RTVue-100 optical coherence tomograph on ganglion cell complex segmentation in various forms of age-related macular degeneration. J Glaucoma 2015;24:245-50.  Back to cited text no. 7
    
8.
Wang DL, Raza AS, de Moraes CG, Chen M, Alhadeff P, Jarukatsetphorn R, et al. Central glaucomatous damage of the macula can be overlooked by conventional OCT retinal nerve fiber layer thickness analyses. Transl Vis Sci Technol 2015;4:1-10.  Back to cited text no. 8
    
9.
Takagi ST, Kita Y, Yagi F, Tomita G. Macular retinal ganglion cell complex damage in the apparently normal visual field of glaucomatous eyes with hemifield defects. J Glaucoma 2012;21:318-25.  Back to cited text no. 9
    
10.
Kim MJ, Jeoung JW, Park KH, Choi YJ, Kim DM. Topographic profiles of retinal nerve fiber layer defects affect the diagnostic perform- ance of macular scans in preperimetric glaucoma. Invest Ophthalmol Vis Sci 2014;55:2079-87.  Back to cited text no. 10
    
11.
Shin HY, Park HY, Jung KI, Choi JA, Park CK. Glaucoma diagnostic ability of ganglion cell-inner plexiform layer thickness differs according to the location of visual field loss. Ophthalmology 2014;121:93-9.  Back to cited text no. 11
    
12.
Hood DC, Raza AS, de Moraes CG, Johnson CA, Liebmann JM, Ritch R. The nature of macular damage in glaucoma as revealed by averaging optical coherence tomography data. Transl Vis Sci Technol 2012;1:3.  Back to cited text no. 12
    
13.
Hood DC, Raza AS, de Moraes CG, Liebmann JM, Ritch R. Glaucomatous damage of the macula. Prog Retin Eye Res 2013;32:1-21.  Back to cited text no. 13
    
14.
Hwang YH, Jeong YC, Kim HK, Sohn YH. Macular ganglion cell analysis for early detection of glaucoma. Ophthalmology 2014;121:1508-15.  Back to cited text no. 14
    
15.
Mwanza JC, Oakley JD, Budenz DL, Chang RT, Knight OJ, Feuer WJ. Macular ganglion cell- inner plexiform layer: Automated detection and thickness repro- ducibility with spectral domain-optical coherence tomography in glaucoma. Invest Ophthalmol Vis Sci 2011;52:8323-9.  Back to cited text no. 15
    
16.
Jeoung JW, Choi YJ, Park KH, Kim DM. Macular ganglion cell imaging study: Glaucoma diagnostic accuracy of spectral- domain optical coherence tomography. Invest Ophthalmol Vis Sci 2013;54:4422-9.  Back to cited text no. 16
    
17.
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.  Back to cited text no. 17
    
18.
Kim MJ, Park KH, Yoo BW, Jeoung JW, Kim HC, Kim DM. Comparison of macular GCIPL and peripapillary RNFL deviation maps for detection of glaucomatous eye with localized RNFL defect. Acta Ophthalmol 2015;93:e22-8.  Back to cited text no. 18
    
19.
Takayama K, Hangai M, Durbin M, Nakano N, Morooka S, Akagi T, et al. A novel method to detect local ganglion cell loss in early glaucoma using spectral- domain optical coherence tomography. Invest Ophthalmol Vis Sci 2012;53:6904-13.  Back to cited text no. 19
    
20.
Inuzuka H, Kawase K, Sawada A, Aoyama Y, Yamamoto T. Macular retinal thickness in glaucoma with superior or inferior visual hemifield defects. J Glaucoma 2013;22:60-4.  Back to cited text no. 20
    
21.
Kim KE, Jeoung JW, Park KH, Kim KE, Jeoung JW, Park KH. Diagnostic classification of macular ganglion cell and retinal nerve fiber layer analysis: Differentiation of false-positives from glaucoma. Ophthalmology 2015;122:502-10.  Back to cited text no. 21
    


    Figures

  [Figure 1], [Figure 2], [Figure 3], [Figure 4]
 
 
    Tables

  [Table 1], [Table 2], [Table 3]



 

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