SciELO - Scientific Electronic Library Online

vol.73 issue5Botulinum toxin type A influence on the lacrimal function of patients with facial dystoniaEpidemiologic profile and level of knowledge among diabetic patients about diabetes and diabetic retinopathy author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Arquivos Brasileiros de Oftalmologia

Print version ISSN 0004-2749

Arq. Bras. Oftalmol. vol.73 no.5 São Paulo Sept./Oct. 2010 



Relationship between visual field sensitivity loss and quadrantic macular thickness measured with Stratus-Optical coherence tomography in patients with chiasmal syndrome


Correlação entre defeito de campo visual e espessura macular quadrântica avaliada através da tomografia de coerência óptica em pacientes com compressão quiasmática



Frederico Castelo Moura; Luciana Virginia Ferreira Costa-Cunha; Roberto Freire Santiago Malta; Mário Luiz Ribeiro Monteiro

Physician, Division of Ophthalmology, Hospital das Clínicas, Universidade de São Paulo - USP - São Paulo (SP), Brazil

Correspondence address




PURPOSE: To correlate visual field sensitivity (VFS) loss on standard automated perimetry (SAP) and quadrantic macular thickness on optical coherence tomography (OCT) in patients with permanent temporal hemianopia from chiasmal compression.
METHODS: Forty eyes from 40 patients with chiasmal compression and 40 healthy eyes were submitted to standard automated perimetry and Stratus-OCT scanning. Raw data of the fast macular thickness scanning protocol were exported and macular thickness measurements were recorded and averaged for each quadrant and half of the central area. The correlation between visual field sensitivity loss and optical coherence tomography measurements was tested with Pearson's correlation coefficients and with linear regression analysis.
RESULTS: A significant association was found between each macular thickness parameter and the corresponding central VF mean sensitivity. The strongest association was observed between superonasal macular thickness and the inferotemporal mean defect measured both in decibel (R=0.47; p=0.001) and in 1/Lambert (R=0.59; p<0.0001) units.
CONCLUSION: Stratus-OCT-measured macular thickness was topographically related with visual field sensitivity loss in patients with temporal hemianopia from chiasmal compression. Such measurements could prove clinically useful in the diagnosis and follow-up of patients with chiasmal compression. identifier number: NCT0039122.

Keywords: Tomography, optical coherence; Perimetry; Optic atrophy; Optic chiasm; Hemianopsia; Visual fields.


OBJETIVO: Avaliar a correlação entre o defeito de campo visual ao exame de perimetria computadorizada e a espessura macular quadrântica ao exame de tomografia de coerência óptica (OCT) em pacientes com hemianopsia temporal permanente causada por compressão quiasmática.
MÉTODOS: Quarenta olhos de 40 pacientes com compressão quiasmática e 40 olhos de 40 indivíduos controles foram submetidos aos exames de perimetria computadorizada e tomografia de coerência óptica. Dados não processados foram exportados e as medidas de espessura macular foram calculadas para cada quadrante e metade da área macular central. A correlação entre o defeito campimétrico e as medidas de espessura macular foi avaliada por coeficiente de correlação de Pearson e por análise de regressão linear.
RESULTADOS: Associação significante foi encontrada entre os parâmetros de espessura macular e seus respectivos defeitos campimétricos. A correlação mais forte foi encontrada entre o parâmetro espessura macular nasal superior e o defeito campimétrico médio temporal inferior medido em decibel (R=0,47; p=0,001) e em 1/Lambert (R=0,59; p<0,0001).
CONCLUSÃO: Medidas de espessura macular avaliada através da tomografia de coerência óptica foi topograficamente relacionada ao defeito campimétrico em pacientes com hemianopsia temporal por compressão quiasmática. Estas medidas podem provar a importância clínica no diagnóstico e seguimento dos pacientes com compressão quiasmática. identifier number: NCT0039122.

Descritores: Tomografia de coerência óptica; Perimetria; Atrofia óptica; Quiasma óptico; Hemianopsia; Campos visuais.




Studies evaluating the relationship between visual function and the extent of axonal loss using retinal nerve fiber layer (RNFL) and macular thickness measurements are for the important diagnosis and monitoring of anterior visual pathway diseases. A spatial correspondence between retinal ganglion cell (RGC) loss and visual field (VF) defect in patients with glaucoma has been reported by several authors(1-4). However, only a few studies evaluated structure-function relationship in optic neuropathies other than glaucoma(5-7). Most of them have correlated peripapillary RNFL thickness with VF loss measured on standard automated perimetry (SAP).

The pattern of the neuronal damage in chiasmal compression represents an important model for studies assessing instruments for the measurement of retinal structures and provides information for the investigation of structure-function relationships in non-glaucomatous optic neuropathies. In patients with long-standing extensive mid-chiasmal lesions the crossed nerve fibers are lost with preservation of the uncrossed nerve fibers, which originate in the temporal hemiretina and penetrate the optic nerve through the superior and inferior arcuate fiber bundles. Thus, RNFL loss occurs predominantly on the nasal and temporal side of the optic disc, a pattern identified on ophthalmoscopy as band atrophy (BA) of the optic nerve(8). Distinctive changes may also be observed in the RGC layer, with severe loss occurring in the hemiretina nasally to the macula and relative preservation on the temporal side. Using optical coherence tomography (OCT), we and others were able to document both RNFL loss around the nerve and RGC loss in the nasal hemiretina of eyes with this pattern of neuronal loss(9-13).

Macular thickness may provide important structural parameters to correlate with visual field sensitivity (VFS) loss in patients with anterior optic pathway diseases. Since the ganglion cell layer and its axons account for up to 35% of the thickness in the macular area(14), estimates of macular thickness can be used to investigate possible RGC loss. In previous studies, we showed good correlation between macular thickness in the nasal retina and VFS loss estimated from the temporal mean defect in patients with long-standing chiasmal loss, although we measured the macula according to a circular map with values presented in sectors that did not respect the vertical meridian(11,15). Therefore, the relationship between VFS loss and macular thickness measurements could not be evaluated in different quadrants as would be desirable for evaluating structure-function relationship in patients with chiasmal syndrome. Although the equipment output refers to a circular area, it is possible to obtain quadrantic measurements by analyzing the raw data from the individual scans of the fast OCT macular thickness protocol. Thus, the purpose of this study was (1) to evaluate the ability of quadrantic macular thickness measurements based on raw Stratus-OCT data to detect neuronal damage and (2) to assess the correlation between such measurements and SAP-measured VFS in eyes with temporal field defect and BA of the optic nerve.



This was an observational, prospective cross-sectional study that followed the principles of the Declaration of Helsinki. Approval from the Institutional Review Board Ethics Committee was obtained and all participants gave their informed consent.

Forty eyes from 40 patients (20 male) with temporal hemianopia and 40 eyes from 40 (20 male) normal age-matched controls were studied. The mean ± standard deviation age was 43.75 ± 12.4 years in BA group, and 43.97 ± 11.9 years in control group (P=0.93, Student's t test). All patients with history of chiasmal lesions had been submitted to previous treatment of the suprasellar lesion and had stable VF defects and visual acuity (VA) for at least 1 year prior to study entry. Subjects underwent SAP using the full threshold 24-2 test of the Humphrey Field Analyzer (Carl-Zeiss Meditec, Dublin, CA). VF and OCT examinations were performed within a maximum period of 1 week. The inclusion criteria for the study were best corrected VA of 20/30 or better in the study eye; spherical refraction within ± 5 D and cylinder refraction within ± 4 D; intraocular pressure <22 mmHg; and reliable VF, defined as one with less than 33% fixation losses, false-positive and false negative responses. Patients with clinical signs of glaucoma or optic disc anomaly were excluded.

Patients with BA of the optic nerve had complete or partial temporal hemianopia on Humphrey perimetry, and a nasal hemifield within normal limits on both tests. Only one eye of each patient was selected for analysis. For the patients in whom both eyes fulfilled the inclusion criteria, 1 eye was randomly selected for analysis. On SAP, 18 eyes had complete temporal hemianopia; 12 had a defect of approximately 1 quadrant; 10 had a defect involving less than 1 quadrant of VF. The mean Humphrey VF mean deviation (MD) for the BA patients was -9.03 ± 5.09 (range, -1.09 to -15.98) and for normal control individuals was -2.71 ± 1.24 (range, 0.94 to -4.99; P<0.0001).

The extent of VFS loss was calculated by analyzing the deviation from the normal in the total deviation plot corresponding to the 16 central points of the VF, an area roughly equivalent to the area covered by OCT macular scans. The values of the total deviation plot of the SAP 24-2 test covering these 16 test points (18º x 18º) were calculated for each quadrant (superotemporal, inferotemporal, superonasal and inferonasal) and for each hemifield (central nasal and central temporal). Thus, each quadrant represented the average deviation of 4 VF test points, and each hemifield the average deviation of 8 VF test points (Figure 1). Deviation from normal in the total deviation plot at each test location was measured in decibels. Unlogged 1/Lambert (1/L) values were calculated for each test location by dividing decibel readings by 10 and then unlogging the quotient.



Subjects underwent ocular imaging with dilated pupil using a commercially available OCT (Stratus OCT, Carl Zeiss Meditec Inc., Dublin, CA). The fast macular thickness scan was used to obtain macular thickness measurements with OCT. Stratus OCT measurements of the macula were generated from 6 consecutive linear scans, 6 mm in length, in a spoke-like radial configuration each line 30 degrees apart and centered on the fovea (Figure 1).

Raw data files of fast macular mapping OCT images (six 6-mm radial linear scans) were exported to a removable disk using the export feature of the Stratus OCT software (version 4.0). For this study, four diagonal scans (scan # 2, 3, 5 and 6; Figure 1) and one horizontal scan (scan # 4; Figure 1) were used to calculate macular thickness. Because the inner retinal layers are absent in the fovea, in each scan the 20 centrally located A-scan points corresponding to the fovea were excluded. The vertical scan (scan # 1) was not analyzed because it would provide no data directly corresponding to the nasal and temporal retina. Average thickness was calculated for the inferonasal, superonasal, inferotemporal and superotemporal quadrants by joining two half scans and averaging values from each test point within the respective quadrants. A total of 108 A-scan points per quadrant were averaged. To calculate the average thickness of the nasal and temporal hemiretinas, the horizontal scan was weighted-averaged with measures from the corresponding quadrants (inferonasal and superonsal quadrants for the nasal hemiretina; the superotemporal and inferotemporal quadrants for temporal hemiretina).

Macular thickness parameters measurements from patients with BA and normal controls were compared using Student's t test. Pearson's correlation coefficient (r) was used to evaluate the strength of relationship between the macular thickness parameters and corresponding VFS loss. Subsequently, the relationship between OCT-measured macular thickness and VF sensitivity loss was described with linear regression analysis. VF data were treated as dependent variables and FD-OCT measurements as independent variables in all regressions. To evaluate the dependence between variables from a same patient and to provide valid statistical inferences, intraclass correlation coefficient (ICC) was performed(16). Values of ICC lower than 0.3 were considered as a weak association(17). P values of less than 0.05 were considered statistically significant.



A total of 40 eyes with temporal hemianopia and 40 control eyes were studied. Thirty-three patients had pituitary adenoma, four had craniopharyngioma and three had parasellar meningioma. Table 1 shows the deviation from normal values in each quadrant and hemifield of the 16 central VF points both in dB and 1/L scale in eyes with BA. The greatest loss of sensitivity measured in dB was observed in the superotemporal quadrant. When expressed in the 1/L scale, the inferotemporal quadrant was the most severely depressed.



The mean (SD) macular thickness in the nasal hemiretina was 231.23 (12.98) µm and 260.91 (19.34) µm in eyes with BA and controls, respectively. Corresponding values for the temporal hemiretina was 231.71 (11.25) µm and 257.18 (19.36) µm. In eyes with BA, quadrantic values of macular thickness were 232.16 (13.69); 233.96 (13.43); 232.99 (11.92) and 231.68 (11.76) in the inferonasal, superonasal, inferotemporal and superotemporal quadrants respectively. Corresponding values for normal eyes were: 260.41 (19.02); 262.62 (19.33); 258.86 (19.91) and 256.49 (17.81), respectively. All measurements were significantly lower in eyes with BA compared to normal eyes (p<0.05 in all comparisons). The value of ICC was 0.238 (IC 95% 0,148-0,382).

Table 2 shows the relationship between quadrantic and hemifield macular thickness parameters and the corresponding VF sensitivity loss. The highest Pearson's coefficient was found between superonasal macular thickness and inferotemporal VFS loss, in both dB and in the 1/L (R=0.48 and R=0.59, respectively). Figure 2 shows the results from the linear regression analysis of the best-performing macular thickness measurements and VFS loss based on the 16 central points of the VF in dB and in 1/L units. Structure-function correlation was generally greater when VFS loss was assessed in 1/L units (Figure 2). Thus, the greatest sectoral R2 was observed between inferotemporal quadrant VFS loss and superonasal quadrant macular thickness (R2=35%, p<0.001), followed by the correlation between the temporal hemifield VFS loss and the nasal hemiretina macular thickness (R2=23%, p<0.001) and between the superotemporal quadrant VFS loss and the inferonasal quadrant macular thickness (R2=10%, p<0.001). When VFS loss was measured in dB, the correlation values for the corresponding parameters were 23% (p<0.001); 16% (p<0.001) and 10% (p<0.001) (Figure 2).






Since Zeimer et al.(14) proposed to use macular thickness as an indicator of glaucoma severity, several studies have investigated this idea using technologies to measure retinal thickness such as OCT(18-24). Such studies were conducted based on the theory that the macular thickness might be superior to circumpapillary RNFL for quantification of axonal loss, because retinal ganglion cell bodies are 10 to 20 times the diameter of their axons and because the retinal ganglion cell layer is more than one cell thick in the macula(25). However, despite the confirmation that macular thickness is in fact reduced in patients with glaucoma, several studies have reported circumpapillary RNFL thickness to be a more sensitive detector of glaucoma than macular thickness(19,23,26-27). This may in part be due to limitations inherent in the OCT software which is restricted to analyzing macular data for the entire retina, leading to reduced specificity. In this context, it should be recalled that glaucoma and other optic neuropathies affect only the inner retinal layers whereas the outer layers merely increase measurement variability(28). On the other hand, technological improvements in image resolution have made segmentation and measurement of individual retinal layers possible improving the reliability of macular thickness measurements when compared to RNFL thickness measurements for detecting axonal loss in glaucoma(25,28).

In the present study, macular thickness parameters were confirmed to be significantly lower in eyes with BA of the optic nerve than in healthy control eyes(11) (Table 1). However, more than evaluating the ability of Stratus-OCT measurements to identify eyes with BA, we assessed the correlation between such measurements and SAP-measured VFS loss in eyes with temporal field defect and BA of the optic nerve by analyzing macular thickness measurements in quadrants. These findings support the structure-function correlation in patients with chiasmal compression, as opposed to structure-function relationship using VFS loss and RNFL thickness estimates. The rationale for expecting a better potential for structure-function relationship with macular parameters and VF sensitivity loss when compared to the RNFL thickness measurements is because of the anatomical disposition of the RNFL on the disc. With the exception of the nasal area of the disc, all other sectors receive retinal nerve fibers from both nasal and temporal hemiretina. The result is a lack of specificity between VF loss and optic disc sectors in patients with lesions of the optic chiasm. For example, when a VF defect affecting the superotemporal quadrant is present, it results in RNFL loss in the nasal, temporal and inferior regions of the optic disc. Since the inferior region of the optic disc also receives nerve fibers from the unaffected nasal VF, there is presumably a lack of specificity in the structure-function relationship. On the other hand, with macular thickness measurements, a superotemporal VF defect may be related to reduced macular thickness below and nasally to the fovea, with direct correspondence to the quadrantic VF defect.

Although the macula remained unsegmented in our study, macular thickness measurements were found to be as capable of discriminating eyes with BA of the optic nerve as RNFL thickness measurements were in previous studies. Considering the fact that the radial scans used to obtain macular thickness parameters were not ideally designed to evaluate the macula in quadrants and that we did not use the SAP 10-2 test strategy (which would more closely match the area covered by the 6-mm scans of the Stratus-OCT scanning protocol), our results offer promising perspectives for macular thickness measurements as a quantifier of neuronal loss in anterior visual pathway diseases. More advanced scanners using Fourier-domain OCT are likely to make OCT macular scans even more useful by obtaining thickness data in different quadrants. Our study indicated a significant structure-function correlation when assessed using the linear model evaluated by Pearson's correlation coefficients, especially when VFS loss was expressed in 1/L. These findings are similar to those of previous studies on glaucoma(3,29) and other neuro-ophthalmic conditions(5-6), suggesting the existence of a possible linear correlation between visual loss and axonal damage.

In our study, although all quadrantic measurements in BA eyes differed significantly from normals, the best structure-function correlation was found between the superonasal macular thickness and inferotemporal VFS, and not between inferonasal thickness and the superotemporal VFS, the correlation which was smaller than expected. One possible explanation for this is that the VF defect was much more severe in the superior temporal quadrant than in any other segment of the VF. Thus, in the studied sample, the superior temporal VF quadrant was significantly more affected than the inferior temporal VF quadrant (p<0.01, Student t test, Table 1). Previous studies(30-31) have demonstrated that the structure-function relationship between RNFL thickness and VF sensitivity loss is weaker when VF defects are greater than -10 dB and almost non-existent when VF defects exceed -20 dB. We believe this may explain why the correlation observed between inferonasal macular thickness measurements and VFS loss in the superotemporal quadrant is poorer than that between superonasal macular thickness and VFS loss in the inferonasal quadrant.



In this study, Stratus-OCT macular thickness measurements divided in quadrants correlated strongly with VFS loss in eyes with temporal VF defect from chiasmal lesions. Although further studies are necessary to confirm our data, our findings suggest that macular thickness measurements may be useful for estimating structure-function relationship in patients with band atrophy of the optic nerve from chiasmal compression.



Supported by grants from Fundação de Amparo a Pesquisa do Estado de São Paulo FAPESP (Nº 05/55326-1), São Paulo, Brazil and from Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq (Nº 309709/2007-5), Brasília, Brazil.



1. El Beltagi TA, Bowd C, Boden C, Amini P, Sample PA, Zangwill LM, et al. Retinal nerve fiber layer thickness measured with optical coherence tomography is related to visual function in glaucomatous eyes. Ophthalmology. 2003;110(11):2185-91.         [ Links ]

2. Leung CK, Chong KK, Chan WM, Yiu CK, Tso MY, Woo J, et al. Comparative study of retinal nerve fiber layer measurement by Stratus-OCT and GDx VCC, II: structure/function regression analysis in glaucoma. Invest Ophthalmol Vis Sci. 2005;46(10): 3702-11.         [ Links ]

3. Garway-Heath DF, Holder GE, Fitzke FW, Hitchings RA. Relationship between electrophysiological, psychophysical, and anatomical measurements in glaucoma. Invest Ophthalmol Vis Sci. 2002;43(7):2213-20.         [ Links ]

4. Bowd C, Zangwill LM, Medeiros FA, Tavares IM, Hoffmann EM, Bourne RR, et al. Structure-function relationships using confocal scanning laser ophthalmoscopy, optical coherence tomography, and scanning laser polarimetry. Invest Ophthalmol Vis Sci. 2006;47(7):2889-95.         [ Links ]

5. Danesh-Meyer HV, Carroll SC, Foroozan R, Savino PJ, Fan J, Jiang Y, et al. Relationship between retinal nerve fiber layer and visual field sensitivity as measured by optical coherence tomography in chiasmal compression. Invest Ophthalmol Vis Sci. 2006;47(11):4827-35.         [ Links ]

6. Cheng H, Laron M, Schiffman JS, Tang RA, Frishman LJ. The relationship between visual field and retinal nerve fiber layer measurements in patients with multiple sclerosis. Invest Ophthalmol Vis Sci. 2007;48(12):5798-805.         [ Links ]

7. Danesh-Meyer HV, Carroll SC, Ku JY, Hsiang J, Gaskin B, Gamble GG, et al. Correlation of retinal nerve fiber layer measured by scanning laser polarimeter to visual field in ischemic optic neuropathy. Arch Ophthalmol. 2006;124(12):1720-6.         [ Links ]

8. Unsold R, Hoyt WF. Band atrophy of the optic nerve. The histology of temporal hemianopsia. Arch Ophthalmol. 1980;98(9):1637-8.         [ Links ]

9. Kanamori A, Nakamura M, Matsui N, Nagai A, Nakanishi Y, Kusuhara S, et al. Optical coherence tomography detects characteristic retinal nerve fiber layer thickness corresponding to band atrophy of the optic discs. Ophthalmology. 2004; 111(12):2278-83. Comment in: Ophthalmology. 2005;112(11):2055-6; author reply 2056-7.         [ Links ]

10. Monteiro ML, Leal BC, Rosa AA, Bronstein MD. Optical coherence tomography analysis of axonal loss in band atrophy of the optic nerve. Br J Ophthalmol. 2004; 88(7):896-9.         [ Links ]

11. Moura FC, Medeiros FA, Monteiro ML. Evaluation of macular thickness measurements for detection of band atrophy of the optic nerve using optical coherence tomography. Ophthalmology. 2007;114(1):175-81.         [ Links ]

12. Monteiro ML, Medeiros FA, Ostroscki MR. Quantitative analysis of axonal loss in band atrophy of the optic nerve using scanning laser polarimetry. Br J Ophthalmol. 2003;87(1):32-7.         [ Links ]

13. Monteiro ML, Leal BC, Moura FC, Vessani RM, Medeiros FA. Comparison of retinal nerve fibre layer measurements using optical coherence tomography versions 1 and 3 in eyes with band atrophy of the optic nerve and normal controls. Eye (Lond). 2007;21(1):16-22.         [ Links ]

14. Zeimer R, Asrani S, Zou S, Quigley H, Jampel H. Quantitative detection of glaucomatous damage at the posterior pole by retinal thickness mapping. A pilot study. Ophthalmology. 1998;105(2):224-31.         [ Links ]

15. Costa-Cunha LV, Cunha LP, Malta RF, Monteiro ML. Comparison of Fourier-domain and time-domain optical coherence tomography in the detection of band atrophy of the optic nerve. Am J Ophthalmol. 2009;147(1):56-63 e2.

16. Murdoch IE, Morris SS, Cousens SN. People and eyes: statistical approaches in ophthalmology. Br J Ophthalmol. 1998;82(8):971-3.         [ Links ]

17. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-74.         [ Links ]

18. Greenfield DS, Bagga H, Knighton RW. Macular thickness changes in glaucomatous optic neuropathy detected using optical coherence tomography. Arch Ophthalmol. 2003;121(1):41-6.         [ Links ]

19. Guedes V, Schuman JS, Hertzmark E, Wollstein G, Correnti A, Mancini R, et al. Optical coherence tomography measurement of macular and nerve fiber layer thickness in normal and glaucomatous human eyes. Ophthalmology. 2003; 110(1):177-89.         [ Links ]

20. Lederer DE, Schuman JS, Hertzmark E, Heltzer J, Velazques LJ, Fujimoto JG, et al. Analysis of macular volume in normal and glaucomatous eyes using optical coherence tomography. Am J Ophthalmol. 2003;135(6):838-43.         [ Links ]

21. Wollstein G, Schuman JS, Price LL, Aydin A, Beaton SA, Stark PC, et al. Optical coherence tomography (OCT) macular and peripapillary retinal nerve fiber layer measurements and automated visual fields. Am J Ophthalmol. 2004;138(2):218-25.         [ Links ]

22. Zeimer R, Shahidi M, Mori M, Zou S, Asrani S. A new method for rapid mapping of the retinal thickness at the posterior pole. Invest Ophthalmol Vis Sci. 1996;37(10): 1994-2001.         [ Links ]

23. Ojima T, Tanabe T, Hangai M, Yu S, Morishita S, Yoshimura N. Measurement of retinal nerve fiber layer thickness and macular volume for glaucoma detection using optical coherence tomography. Jpn J Ophthalmol. 2007;51(3):197-203.         [ Links ]

24. Kusuhara S, Nakamura M, Nagai-Kusuhara A, Nakanishi Y, Kanamori A, Negi A. Macular thickness reduction in eyes with unilateral optic atrophy detected with optical coherence tomography. Eye (Lond). 2006;20(8):882-7.         [ Links ]

25. Ishikawa H, Stein DM, Wollstein G, Beaton S, Fujimoto JG, Schuman JS. Macular segmentation with optical coherence tomography. Invest Ophthalmol Vis Sci. 2005;46(6):2012-7.         [ Links ]

26. Bagga H, Greenfield DS. Quantitative assessment of structural damage in eyes with localized visual field abnormalities. Am J Ophthalmol. 2004;137(5):797-805.         [ Links ]

27. Medeiros FA, Zangwill LM, Bowd C, Vessani RM, Susanna R Jr, Weinreb RN. Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography. Am J Ophthalmol. 2005;139(1):44-55.         [ Links ]

28. Tan O, Li G, Lu AT, Varma R, Huang D. Mapping of macular substructures with optical coherence tomography for glaucoma diagnosis. Ophthalmology. 2008; 115(6):949-56.         [ Links ]

29. Badlani V, Shahidi M, Shakoor A, Edward DP, Zelkha R, Wilensky J. Nerve fiber layer thickness in glaucoma patients with asymmetric hemifield visual field loss. J Glaucoma. 2006;15(4):275-80.         [ Links ]

30. Hood DC, Kardon RH. A framework for comparing structural and functional measures of glaucomatous damage. Prog Retin Eye Res. 2007;26(6):688-710.         [ Links ]

31. Hood DC. Relating retinal nerve fiber thickness to behavioral sensitivity in patients with glaucoma: application of a linear model. J Opt Soc Am A Opt Image Sci Vis. 2007;24(5):1426-30.         [ Links ]



Correspondence address:
Frederico Castelo Moura
Rua Pedroso Alvarenga, 1.077
São Paulo (SP) - CEP 04531-012

Recebido para publicação em 22.03.2010
Última versão recebida em 25.07.2010
Aprovação em 06.08.2010



Work carried out at the Hospital das Clínicas, Universidade de São Paulo - USP.

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License