Literature DB >> 33235432

Central Macular Thickness in a Healthy Mexican Population Using Huvitz Optical Coherence Tomography.

Renata García-Franco1, Dalia Méndez-Marín1, Marlon García-Roa1, Paulina Ramirez-Neria1, Diego Valera-Cornejo1, Van Charles Lansingh1,2.   

Abstract

OBJECTIVE: To determine normal macular thickness values in a healthy Mexican population and its variation by age and gender using Huvitz spectral-domain optical coherence tomography (HOCT-1F).
METHODS: This cross-sectional study included 211 consecutive eyes from clinically normal subjects (66 men, 145 women) between October 2018 and December 2018, with best-corrected visual acuities better than 20/30. One eye was selected for the macular scan using the Huvitz OCT (Huvitz OCT-1F, HOCT-1F, Huvitz Co., Ltd., Republic of Korea) with an automated segmentation algorithm. Three vertical and horizontal scans, centered on the fovea with an area of 9 mm, and a color 45° fundus photograph were obtained using Huvitz OCT-1F. Macular measurements were presented as means with standard deviations values for each of the nine regions defined by the Early Treatment Diabetic Retinopathy Study (ETDRS).
RESULTS: The mean age was 34.3±11.9 years. Using the ETDRS map, the mean central subfield thickness (CST) was 227.4±18.9 µm. Male gender was associated with greater CST (P<0.001) compared to females. There was no association between mean macular CST (r2=0.011; P=0.11) and age. Macular thickness was thicker in the inner ring than in the outer ring, and there were no significant differences in mean CST among age groups (P=0.70).
CONCLUSION: Normal macular thickness values using the Huvitz OCT in a Mexican healthy population aged from 18-70 years were thinner in the foveal macular region than values reported in other populations. Female patients had a thinner CST, and age was not correlated with macular thickness.
© 2020 García-Franco et al.

Entities:  

Keywords:  Mexico; diagnostic imaging; optical coherence; retina; tomography

Year:  2020        PMID: 33235432      PMCID: PMC7680185          DOI: 10.2147/OPTH.S272431

Source DB:  PubMed          Journal:  Clin Ophthalmol        ISSN: 1177-5467


Introduction

Optical coherence tomography (OCT) is an indispensable tool for the diagnosis and follow-up of several eye diseases, such as macular edema, age-related macular degeneration (AMD), and glaucoma, among others. This technology represents a quantifiable measure to guide the response to many retinal therapies.1,2 The OCT uses a beam of light with low coherence interferometry to examine the retina in vivo.3 This noninvasive, noncontact technology provides in vivo images that could easily be compared to a retinal biopsy. The segmentation provides high resolution (5–20 µm) images that give us useful quantitative information from each individual layer of the retina, allowing the evaluation of subtle details of it; thus we can perform a precise analysis of the progression of a disease or its response to a treatment.4,5 Many significant improvements in OCT hardware have been introduced since the first commercial OCT became available, such as a faster scanning speed, better axial resolution, and better fixation systems, which allow us to obtain high quality in vivo retinal images.6–8 Today, spectral domain OCT (SD-OCT) units can achieve a speed of 100,000 Axial Scans per second with a resolution of 5–7 µm, which allows us the analysis of a great quantity of data in seconds. Many SD-OCT units are available on the market, and each one of them has different protocols for the tomographic evaluation of the macula and optic nerve (linear, radial, cross-sectional, and coronal scans), they can also cover an area from 6 to 12 mm, providing three-dimensional images which are generated using a patient fixation system that finally allows us to measure each layer of the retina with great precision.7,9 Significant differences in the macular central subfield thickness (CST) have been reported in healthy subjects among different races, genders, and age groups; many differences were also found between several scan protocols and OCT units.6,8,10–20 Normative macular thickness values using different OCT units on a specific population are needed to identify reference values for many eye conditions. A normative database for macular thickness helps us determine if a patient falls within or outside normal values for his age and race; in a clinical research setting, this database would help us determine a patient’s inclusion or exclusion criteria, additionally, if the treatment is meant to decrease macular thickness, we need to be sure that we have an abnormally thick retina at the beginning in order to adequately measure its variations. The objective of this study was to describe normal retinal macular thickness values in a healthy Mexican population and its association with age and sex, using the Huvitz OCT-1F (HOCT-1F, Huvitz Co., Ltd., Dongan-gu, Anyang-si, Gyeonggi-do, Republic of Korea).

Methods

This was a single center, cross-sectional study performed from October 2018 through December 2018, at the Mexican Institute of Ophthalmology, Queretaro, México. The Mexican Institute of Ophthalmology ethics committee (22-CEI-003-2,016,215) approved this study, which complied with the Declaration of Helsinki. Written informed consent from all patients was obtained before the enrollment and after the purpose of the study had been clearly explained to the participants. Patient data complied with relevant data protection and privacy regulations. The study included eyes from Mexican volunteers above 18 years of age, with a normal ophthalmic evaluation and a macular OCT image with a strength signal index (SSI) greater than 7. Subjects with a history or clinical evidence of any eye disease such as glaucoma, cataract, or retinal diseases and known systemic diseases (diabetes, or any uncontrolled disease) were excluded. Individuals with glaucoma, intraocular pressure level greater than 21 mmHg, history of any ocular surgery or laser therapy, refractive error with a spherical power greater than ±5.0 diopters and/or cylinder greater than ±3.0 diopters, or a best-corrected visual acuity (BCVA) of 20/32 or worse in at least one eye were also excluded. Visual acuity using a Snellen chart, detailed slit lamp examination and intraocular pressure (Icare®, Icare Finland Oy, Vantaa, Finland) was measured at the enrollment of the study.

OCT Imaging and Measurements

Tomographic evaluations were performed by an experienced technician on the selected eye using the SD-OCT (Huvitz OCT-1F) without pupil dilation. The HOCT-1F uses a diode beam source of 840 nm and has an axial resolution of 6 µm with a scanning speed of 68,000 axial scans per second; this system uses an intelligent fixation system that avoids artifacts from ocular movements. OCT images had a SSI>7, which is the optimal reference value for the quality of the image. A color 45° fundus photograph (12 megapixels) was also taken simultaneously with the tomographic evaluation without pupil dilation (Figure 1).
Figure 1

Color 45° fundus photograph of an eye taken with optical coherence tomography (HOCT-1F) without pupil dilation.

Color 45° fundus photograph of an eye taken with optical coherence tomography (HOCT-1F) without pupil dilation. Two independent observers (Retina specialists) analyzed the images. All of the scans had a SSI>7 and all retinal layers were clearly visible, without evidence of any artifacts from blinking or fixation changes or abnormalities in the fundus photograph. Three scans were taken using the OCT macular horizontal and vertical 3D protocols to measure the macular thickness21 and mean values were calculated. An area of 9x9 mm centered in the fovea was analyzed in agreement with the Early Treatment Diabetic Retinopathy Study (ETDRS) map.22 The macula was divided into nine regions, three concentric rings (the 1 mm foveal center, the inner ring at 3 mm, and the outer ring at 6 mm), which were subdivided into four subfields (superior, temporal, inferior, and nasal). If fixation was poor or if the participant blinked during the measurements, scans were repeated. Only one eye (left eye) per subject was included in the analysis. All measures were obtained using the automated segmentation algorithms from the OCT unit. Macular thickness was established by the thickness (µm) measured from the inner limiting membrane (ILM) to the area of the retinal pigment epithelium (RPE) for each region. The central subfield thickness (CST) was defined as the mean thickness of the neurosensory retina in the central 1 mm diameter determined by the ETDRS map (Figure 2).
Figure 2

Spectral domain optical coherence tomography scan from a healthy patient taken with the HOCT-1F which shows the segmentation for retinal measurements; blue line represents the outer limit for the retinal segmentation.

Spectral domain optical coherence tomography scan from a healthy patient taken with the HOCT-1F which shows the segmentation for retinal measurements; blue line represents the outer limit for the retinal segmentation.

Statistical Analysis

A sample size of 212 eyes was calculated to detect a difference of 2.5 μm (SD=13) between the measured and reference values using a one-sample mean test with a power of 80% and an alpha level of 0.05. Descriptive statistics were provided as mean±standard deviation. Mann–Whitney U-Test and Student’s t-test were used for comparison between the groups. Data was tested for normality using a Shapiro–Wilk test. Age was disaggregated into five age groups (18–29 years, 30–39 years, 40–49 years, 50–59 years, and 60–69 years). The unpaired t-test was used to compare the means among sexes and the Welch ANOVA and Kruskal Wallis tests were used for the comparison between age groups. A P-value less than 0.05 was considered statistically significant. Missing data were not included in the analysis. Linear regression analysis was used to assess the relationship between macular thickness and age. Statistical analysis was performed using Stata® version 15.1 (StataCorp. 2015, Stata Statistical Software: Release 15. College Station, Texas, The USA: StataCorp LP) and GraphPad Prism software Version 8.4.2 (GraphPad Software Inc, La Jolla, CA).

Results

There were 222 individuals who were screened for study eligibility. Eleven were excluded because they had age-related macular degeneration, cataract, or epiretinal membrane. Two-hundred and eleven participants were eligible and enrolled in the study (211 left eyes). One hundred and forty-five eyes were from females participants (68.7%), and the mean age was 34.3 years [standard deviation (SD)=11.9] (Table 1). There were no significant differences in age among sexes. Table 2 summarizes the mean macular thickness values stratified by sex for each of the nine ETDRS regions. The mean CST from all patients was 227.4 µm (SD=18.9); male patients were associated with a greater mean CST (P<0.001) (Table 2). Macular thickness was also greater in the inner ring ETDRS area. In the outer and inner rings, the temporal quadrant had the least thickness, followed by the inferior quadrant (Table 2). The superior quadrant of the inner ring had the greatest thickness, while the nasal quadrant in the outer ring was the one with the greatest thickness (Table 2). Eyes from male patients had a significantly greater macular thickness in the inner ring, compared to women (P<0.001). In the outer ring area, no differences between genders were found (Table 2). Mean values for macular thickness areas among age groups are summarized in Table 3. The linear regression analysis found no association of mean macular CST (r2=0.011; P=0.11) with age (Figure 3). Mean values of macular thickness stratified by age and gender are shown in Table 4 and no clinical significant differences were observed for both the inner and outer rings.
Table 1

Patient Demographic and Eye Characteristics

VariableN (%)
Number of eyes211 (100)
Sex
 Female145 (68.7)
 Male66 (31.3)
Age (years), Mean (standard deviation)34.3 (11.9)
Age distribution
 18–2991 (41.1)
 30–3958 (27.5)
 40–4939 (18.5)
 50–5914 (6.6)
 60–699 (4.3)
Table 2

Macular Thickness Stratified by Sex

MaleFemaleTotalP*
No. eyes66145211
CST (µm), mean (SD)237.2 (17.5)223.0 (17.9)227.4 (18.9)<0.001
Inner ring (µm), mean (SD)
 Superior317.5 (11.7)310.2 (14.1)312.5 (13.8)<0.001
 Temporal302.3 (11.1)293.1 (12.5)296.0 (12.8)<0.001
 Inferior312.3 (11.9)303.8 (15.3)306.5 (14.8)<0.001
 Nasal317.4 (13.9)308.0 (15.2)310.9 (15.4)<0.001
Outer ring (µm), mean (SD)
 Superior273.9 (11.7)276.6 (12.3)275.8 (12.2)0.15
 Temporal257.3 (10.3)256.4 (12.2)256.7 (11.7)0.59
 Inferior262.6 (11.0)264.6 (12.8)264.0 (12.3)0.28
 Nasal290.4 (17.7)292.8 (14.2)292.0 (15.4)0.62

Notes: *Difference for gender. Unpaired t-test or Mann–Whitney U-test for quantitative variables, as appropriate.

Abbreviations: No, number; CST, central subfield thickness; SD, standard deviation.

Table 3

Macular Thickness Stratified by Age Groups

18–29 years30–39 years40–49 years50–59 years60–69 yearsP*
No. of eyes, (%)91 (43.5)58 (27.8)39 (18.7)14 (6.7)9 (3.3)
CST (µm), mean (SD)229.1 (17.9)226.9 (20.1)226.5 (17.4)220.4 (15.3)228.7 (30.9)0.70
Inner ring (µm), mean (SD)
 Superior315.3 (12.4)313.5 (14.9)308.3 (11.5)308.4 (13.9)301.4 (20.0)0.005
 Temporal298.1 (12.4)295.7 (12.7)293.9 (10.3)294.7 (14.7)287.4 (20.2)0.24
 Inferior308.2 (14.9)308.2 (12.9)302.6 (14.2)304.1 (14.9)297.8 (22.8)0.09
 Nasal313.4 (14.5)311.1 (15.8)308.8 (11.6)304.9 (16.7)304.0 (27.7)0.23
Outer ring (µm), mean (SD)
 Superior276.6 (11.0)278.0 (13.6)272.6 (12.1)275.7 (13.1)266.9 (8.6)0.02
 Temporal257.7 (10.4)257.8 (12.7)253.8 (11.2)258.7 (15.5)248.5 (7.7)0.02
 Inferior265.1 (11.2)266.2 (14.1)260.5 (10.8)262.6 (13.0)257.3 (9.6)0.02
 Nasal293.8 (12.6)294.5 (20.0)288.0 (12.7)287.7 (14.3)282.4 (15.1)0.005

Notes: *Difference for age groups. ANOVA or Kruskal–Wallis test for quantitative variables, as appropriate.

Abbreviations: No, number; CST, central subfield thickness; SD, standard deviation.

Figure 3

Regression plot of central subfield thickness vs age.

Table 4

Mean Macular Thickness Stratified by Age Groups and Sex

18–29 years30–39 years40–49 years50–59 years60–69 yearsP*
MFMFMFMFMFMF
No. of eyes32591939102931127
CST (µm), mean (SD)235.6 (19.2)225.6 (16.3)237.5 (13.6)221.7 (20.8)241.5 (14.6)221.4 (15.4)220.2 (16.5)220.5 (15.8)265.3 (3.2)218.3 (26.6)0.110.72
Inner ring (µm), mean (SD)
 Superior318.5 (10.9)313.6 (12.9)320.9 (10.1)310.0 (15.5)311.3 (13.5)307.3 (10.8)301.7 (11.6)310.3 (14.4)324.8 (2.4)294.8 (17.3)0.040.01
 Temporal304.3 (11.2)294.7 (11.8)302.5 (8.1)292.4 (13.3)298.2 (13.4)292.4 (8.8)289.3 (14.3)296.2 (15.2)309.3 (3.9)281.2 (18.3)0.170.10
 Inferior313.3 (12.2)305.5 (15.7)313.6 (9.7)305.5 (13.5)307.6 (12.5)300.9 (14.5)301.5 (17.8)304.9 (15.0)322.8 (1.1)290.7 (20.7)0.250.09
 Nasal318.7 (12.6)310.4 (14.7)318.8 (11.3)307.3 (16.4)312.6 (14.5)307.5 (10.4)296.3 (19.9)307.2 (16.1)339.8 (4.6)293.7 (21.8)0.030.08
Outer ring (µm), mean (SD)
 Superior273.4 (11.4)278.3 (10.4)278.5 (12.9)277.7 (14.1)269.6 (9.9)273.7 (12.7)270.7 (4.6)277.1 (14.5)266.3 (12.4)267.1 (8.6)0.350.07
 Temporal257.1 (10.6)258.1 (10.4)260.3 (11.5)256.7 (13.3)255.7 (8.2)253.2 (12.1)249.8 (5.1)261.1 (16.7)253.5 (1.4)247.1 (8.3)0.550.07
 Inferior262.4 (11.2)266.7 (11.0)267.0 (11.1)265.8 (13.4)258.1 (10.5)261.4 (11.0)257.7 (5.4)264.5 (13.9)259.5 (5.6)254.1 (10.5)0.120.07
 Nasal291.1 (12.2)295.2 (12.6)292.1 (27.2)295.7 (15.6)284.0 (14.1)289.4 (12.2)288.8 (3.6)287.4 (16.2)297.3 (3.2)278.1 (14.4)0.130.008

Notes: *Difference for age groups. ANOVA or Kruskal–Wallis test for quantitative variables, as appropriate.

Abbreviations: No, number; CST, central subfield thickness; SD, standard deviation; M, male; F, female.

Patient Demographic and Eye Characteristics Macular Thickness Stratified by Sex Notes: *Difference for gender. Unpaired t-test or Mann–Whitney U-test for quantitative variables, as appropriate. Abbreviations: No, number; CST, central subfield thickness; SD, standard deviation. Macular Thickness Stratified by Age Groups Notes: *Difference for age groups. ANOVA or Kruskal–Wallis test for quantitative variables, as appropriate. Abbreviations: No, number; CST, central subfield thickness; SD, standard deviation. Mean Macular Thickness Stratified by Age Groups and Sex Notes: *Difference for age groups. ANOVA or Kruskal–Wallis test for quantitative variables, as appropriate. Abbreviations: No, number; CST, central subfield thickness; SD, standard deviation; M, male; F, female. Regression plot of central subfield thickness vs age.

Discussion

The OCT is an essential tool for the diagnosis and monitoring of many retinal diseases. There are several devices available and each one has a normative database which is applicable to a specific population group. The normative parameters for each OCT device depend on the domain (time domain [TD-OCT] or spectral domain [SD-OCT]) and the level at which the segmentation is performed. Most SD-OCT devices measure macular thickness from the ILM to the RPE, either at its inner or outer border or even at the level of RPE/Bruch’s complex basal membrane.23 For this reason, the results are not comparable between devices, which should be taken into account when we evaluate an OCT image from a patient and for making decisions regarding treatment. The retinal thicknesses measured in healthy subjects is dependent on the instrument and their segmentations definitions. The inner border taken for macular thickness measure is chosen at the vitreoretinal surface, which is very well defined, however defining the outer border differs among instruments. The definition of the outer border is at the junction between the inner and outer segments for the Stratus OCT, at the level of interdigitation between outer segments/RPE for the Cirrus OCT and at the posterior part of the RPE/Bruch’s membrane complex for the Heidelberg Spectralis system.24 Several studies have reported mean macular thickness values for many SD-OCT devices available: for example, the mean CST for the RTVue-100 (Optovue Inc, Fremont, CA, USA) is 256±15 μm,4 for the Cirrus SD-OCT (Carl Zeiss Meditec, Dublin, CA, USA), the mean CST varies from 244.17±18.69 to 265. 80±18.1 μm.25 The Spectralis (Heidelberg Engineering, Vista, CA, USA) SD-OCT mean CST is 270.2±22.5 μm, being the device with the highest normal macular thickness values.11 The OCT with the lowest thickness described is from the Topcon 3D OCT-1000 (Topcon Corporation, Tokyo, Japan), with a mean CST that varies from 221.76±14.35 to 227±17 μm;25,26 one explanation for this variability is because the outer limit for the CST measurement is at the inner border of the RPE. The current study obtained CST values from a healthy Mexican population using the HOCT-1F unit, which was recently launched on the market and has undergone limited evaluations.21 Table 5 summarizes macular thickness data obtained from a sample of 12 studies (including this study) evaluating several populations in 11 different countries with different OCT units. Seven of these studies had a population that was older than 40 years. Our study had the lowest mean CST (227.4 μm) but also had a younger population (mean age=34.3 years). Our findings are similar to those found in a study from Pakistan, where the mean CST value was 229 μm, the mean age was >40 years and was performed with the Topcon SD-OCT which could be a reason why a  lower macular thickness was found.14 A study in an Hispanic population (where it was presumed that most individuals were primarily from an European ethnicity) showed a much older population (mean age of >60 years), with a mean CST of 261.3 μm using the Cirrus SD-OCT (Table 5).16
Table 5

Comparative Sample from Studies that evaluate Central Subfield Thickness in Different Populations Using Different Spectral Domain Optical Coherence Tomography Units

StudyCountryNo. of EyesMean Age, yearsOCT DeviceCST (μm), mean (SD)Results
Grover et al, 200911US (White, Black, and Asian patients)5043*Spectralis (Heidelberg Engineering Inc, Vista, CA, USA)270.2 (22.5)

CST was greater in White and Asians patients and less in Black patients (P=0.007)

Outer nasal quadrant had the maximum thickness

Retinal thickness was not associated with age or sex

Song et al, 201012Republic of Korea19855.6Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA)253.2 (24.2)

CST, mean inner macular thickness, and overall macular volume was significantly higher in men (P<0.05)

Macular thickness decreased significantly with age (P≤0.002)

Nasal quadrants were the thickest, while temporal quadrants were the thinnest

Mitkova-Hristova and Konareva-Kostyaneva 201113Bulgaria16354.3iVue (Optovue, Fremont, CA, USA)248.9 (17.9)

Inner ring was the thickest (P<0.001)

Temporal quadrant was the thinnest in the inner ring (P<0.001)

The nasal quadrant was the thickest in the outer ring (P<0.001)

Significant thinning occurred with age in the superior and nasal quadrants of the inner ring and in the superior, nasal, and inferior quadrants of the outer ring (P<0.05)

Adhi et al, 201214Pakistan22045.3Topcon (Topcon, Tokyo, Japan)229 (20.5)

Men had greater CST (P<0.001)

CST was not associated with age

Superior and nasal quadrants were thicker

Choovuthayakorn et al, 201215Thailand36849.2Spectralis259 (19.1)

CST and foveal volume were significantly greater in men than in women (P<0.001)

CST was not associated with age

Temporal quadrants were the thinnest and nasal quadrants were the thickest

Solé González et al, 201316Spain10060.9Cirrus HD-OCT261.3 (17.7)

CST was greater in men than women (P< 0.001)

Inner ring was thicker than outer ring

Nasal quadrant was the thickest; temporal quadrant was the thinnest

Tan et al, 201428Chinese ethnicity in Singapore12423.0Spectralis322.2 (98.2)

Temporal and superior quadrants were the thinnest

Nasal quadrants were the thickest

Natung et al, 201617India40038.1Cirrus HD-OCT240.4 (18.3)

CST was greater in men than in women (P<0.05)

Inner ring was significantly thicker (P≤0.05), followed by nasal and superior quadrants

Inner ring decreased with age

Pokharel et al, 201619India12621.1Spectralis247.7 (19.9)

Mean macular thickness was higher in men (P<0.04)

Age correlated with central minimum thickness (P= 0.006), but not with CST

Macular thickness was the highest in the inner superior quadrant and the thinnest at the center of the fovea

Al-Zamil et al, 20176Saudi Arabia15829.9Cirrus HD-OCT244.8 (23.6)

Men had greater retinal thickness in all inner areas (P<0.001)

Retinal thickness in the inner ring was significantly greater than in the outer ring (P<0.001)

Temporal segments were the thinnest while nasal segments were the thickest (P <0.001)

Domínguez-Vicent et al, 201921Sweden15949.6HOCT-1F (Huvitz, Dongan-gu, Republic of Korea)Horizontal scan: 257.5 (18.8); vertical scan: 259.2 (19.2)

Nasal area was the thickest in both inner and outer rings

Temporal ring was the thinnest in both inner and outer rings

Current study, 2019Mexico21134.3HOCT-1F227.4 (18.9)

CST was greater in men than women (P<0.001)

Inner ring had greater thickness

Superior quadrant had the greatest thickness

Note: *Median values were presented.

Abbreviations: CST, central subfield thickness; IQR, interquartile range; OCT, optical coherence tomography; SD, standard deviation.

Comparative Sample from Studies that evaluate Central Subfield Thickness in Different Populations Using Different Spectral Domain Optical Coherence Tomography Units CST was greater in White and Asians patients and less in Black patients (P=0.007) Outer nasal quadrant had the maximum thickness Retinal thickness was not associated with age or sex CST, mean inner macular thickness, and overall macular volume was significantly higher in men (P<0.05) Macular thickness decreased significantly with age (P≤0.002) Nasal quadrants were the thickest, while temporal quadrants were the thinnest Inner ring was the thickest (P<0.001) Temporal quadrant was the thinnest in the inner ring (P<0.001) The nasal quadrant was the thickest in the outer ring (P<0.001) Significant thinning occurred with age in the superior and nasal quadrants of the inner ring and in the superior, nasal, and inferior quadrants of the outer ring (P<0.05) Men had greater CST (P<0.001) CST was not associated with age Superior and nasal quadrants were thicker CST and foveal volume were significantly greater in men than in women (P<0.001) CST was not associated with age Temporal quadrants were the thinnest and nasal quadrants were the thickest CST was greater in men than women (P< 0.001) Inner ring was thicker than outer ring Nasal quadrant was the thickest; temporal quadrant was the thinnest Temporal and superior quadrants were the thinnest Nasal quadrants were the thickest CST was greater in men than in women (P<0.05) Inner ring was significantly thicker (P≤0.05), followed by nasal and superior quadrants Inner ring decreased with age Mean macular thickness was higher in men (P<0.04) Age correlated with central minimum thickness (P= 0.006), but not with CST Macular thickness was the highest in the inner superior quadrant and the thinnest at the center of the fovea Men had greater retinal thickness in all inner areas (P<0.001) Retinal thickness in the inner ring was significantly greater than in the outer ring (P<0.001) Temporal segments were the thinnest while nasal segments were the thickest (P <0.001) Nasal area was the thickest in both inner and outer rings Temporal ring was the thinnest in both inner and outer rings CST was greater in men than women (P<0.001) Inner ring had greater thickness Superior quadrant had the greatest thickness Note: *Median values were presented. Abbreviations: CST, central subfield thickness; IQR, interquartile range; OCT, optical coherence tomography; SD, standard deviation. Table 5 demonstrates how inconclusive the evidence is on whether age is associated with macular thickness. Macular thickness in the current study tended to be thinner with age, but it was not significant because our findings required a greater number of older patients, which is difficult to investigate since we only included patients who were completely healthy. The current study is consistent with the literature, demonstrating that men have a greater macular CST, and there is a thinning of the macular thickness towards the temporal periphery. We also found a greater macular thickness in the inner ring and the thinnest thickness was found in the temporal quadrants for both the inner and outer rings. One study evaluated macular CST in White, Black, and Asian individuals and did not find an association between macular thickness, age, and sex, but the small sample size (50 individuals) may bias their results.11 In the same study it was found that mean CST was significantly higher in white subjects as compared with black subjects (P=0.007). The difference in macular thickness among races could be explained by the greater amount of melanin in the apical portion of RPE cells in darkly pigmented persons, which may produce an attenuation of the signal for deeper tissues. Light scattering could be responsible for this attenuation because melanin is known to be a strong scatterer of light.27 Another study used the HOCT-1F unit in patients from Sweden,25 where the mean population age was around 50 years old and the mean CST was considerably thicker (ranging from 257.5–259.2 μm (Table 5)). The mentioned study was conducted in Caucasian individuals, and the difference obtained in macular thickness compared to our population may be explained by the variation in skin pigmentation. In Table 5 we can also observe the variability in central macular thickness between races among several SD-OCT devices: Al-Zamil et al6 performed a study in Saudi Arabia and found a CST of 244.8±23.6 μm, with the Cirrus-SD OCT, Natung et al17 also found similar CST values in an Indian population (these values are considered at the lower normal limit for the Cirrus OCT); on the other hand, a Spanish study found a greater CST (261.3±17.7 μm,) using the same SD-OCT device.16 Tan et al28 evaluated a Chinese population and found a CST value of 322.2±98.2 μm, which is much higher than the normal mean values measured with the Spectralis SD-OCT (270.2±22.5 μm). Grover et al11 also found a greater CST in Asian individuals using the Spectralis SD-OCT. Pokharel et al19 found a CST of 247.7±19.9 μm in an Indian population, which is lower than the normal values established for the Spectralis SD-OCT; they also reported that the superior quadrant was thicker, which is similar to our results. However, racial diversity may not always correspond to the actual variation in the retinal macular thickness needed for a normative OCT database, which would be better evaluated through environmental, socioeconomic, and geographic variations in the study population. As described by Mehta and Waheed,29 a racial categorization may contain a great variability within it which may be imprecise and may not be representative for scientific and medical purposes. The literature has reported a great variability for the measurements of macular thickness among the different commercial SD-OCT instruments available (Table 5). It is difficult to compare macular thickness values between SD-OCT units, likely because they differ in the software algorithms used for retinal segmentation, and the boundaries (outer limit) for the macular thickness measure varies across devices. Artifacts generated by retinal segmentation affect image quality differently between OCT units.18 For the HOCT-1F, the intra device repeatability of the macular thickness measurement has been shown to be good, although dependent of the direction of the scan (ie, horizontal vs vertical scan).21 Macular thickness findings reported in other studies are similar to our data (Table 5), we also found that men have a greater macular thickness than women and the temporal macular area has thinner values. A limitation of this study was that the majority (68.7%) of the individuals were women; this sex imbalance may bias our report, as women are known to have thinner values than men. This study did not evaluate axial length and its association with macular thickness, which other researchers have frequently done, although some authors have not shown a correlation between spherical equivalent and macular thickness.5,30,31 There are reports of mean CST values in diabetic Mexican individuals,26,32,33 but there are no published normative data for healthy individuals. To the best of our knowledge, this report would be the first to report normative macular thickness values for a Mexican healthy population.

Conclusion

This study provides normative data for macular thickness in a Mexican population using the HOCT-1F system. Normal macular thickness values in a healthy population aged from 18–70 years were thinner in the foveal macular regions than values reported in other populations. We have shown that eyes from male patients were associated with a greater macular thickness and that CST was not correlated with age in healthy eyes. The macular thickness values reported here may be useful for comparison with other SD-OCT devices and populations.
  31 in total

1.  Reproducibility of retinal thickness measurements on normal and pathologic eyes by different optical coherence tomography instruments.

Authors:  Andrea Giani; Mario Cigada; Netan Choudhry; Antonio Peroglio Deiro; Marta Oldani; Marco Pellegrini; Alessandro Invernizzi; Piergiorgio Duca; Joan W Miller; Giovanni Staurenghi
Journal:  Am J Ophthalmol       Date:  2010-10-20       Impact factor: 5.258

2.  Three-dimensional retinal imaging with high-speed ultrahigh-resolution optical coherence tomography.

Authors:  Maciej Wojtkowski; Vivek Srinivasan; James G Fujimoto; Tony Ko; Joel S Schuman; Andrzej Kowalczyk; Jay S Duker
Journal:  Ophthalmology       Date:  2005-10       Impact factor: 12.079

3.  Topographic variation of choroidal and retinal thicknesses at the macula in healthy adults.

Authors:  Colin S H Tan; Kai Xiong Cheong; Louis W Lim; Kelvin Z Li
Journal:  Br J Ophthalmol       Date:  2013-11-28       Impact factor: 4.638

4.  Macular and retinal nerve fiber layer thickness measurements in normal eyes with the Stratus OCT, the Cirrus HD-OCT, and the Topcon 3D OCT-1000.

Authors:  Jingjing Huang; Xing Liu; Ziqiang Wu; Xinxing Guo; Hongzhi Xu; Laurie Dustin; Srinivas Sadda
Journal:  J Glaucoma       Date:  2011-02       Impact factor: 2.503

5.  Macular thickness measured by spectral-domain optical coherence tomography in healthy Thai eyes.

Authors:  Janejit Choovuthayakorn; Nawat Watanachai; Voraporn Chaikitmongkol; Direk Patikulsila; Paradee Kunavisarut; Nimitr Ittipunkul
Journal:  Jpn J Ophthalmol       Date:  2012-10-04       Impact factor: 2.447

6.  Grading diabetic retinopathy from stereoscopic color fundus photographs--an extension of the modified Airlie House classification. ETDRS report number 10. Early Treatment Diabetic Retinopathy Study Research Group.

Authors: 
Journal:  Ophthalmology       Date:  1991-05       Impact factor: 12.079

7.  Normal Macular Thickness in Healthy Indian Eyes Using Spectral Domain Optical Coherence Tomography.

Authors:  Tanie Natung; Avonuo Keditsu; Laura Amanda Lyngdoh; Begonia Dkhar; Gunjan Prakash
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2016-05

8.  The interpretation of optical coherence tomography images of the retina.

Authors:  D S Chauhan; J Marshall
Journal:  Invest Ophthalmol Vis Sci       Date:  1999-09       Impact factor: 4.799

9.  Comparison of spectral/Fourier domain optical coherence tomography instruments for assessment of normal macular thickness.

Authors:  Alan C Sull; Laurel N Vuong; Lori Lyn Price; Vivek J Srinivasan; Iwona Gorczynska; James G Fujimoto; Joel S Schuman; Jay S Duker
Journal:  Retina       Date:  2010-02       Impact factor: 4.256

10.  [Normal macular thickness and volume using spectral domain optical coherence tomography in a reference population].

Authors:  L Solé González; R Abreu González; M Alonso Plasencia; P Abreu Reyes
Journal:  Arch Soc Esp Oftalmol       Date:  2013-04-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.