Purpose
To compare retinal thickness measurements produced by different time-domain and spectral-domain optical coherence tomography (TD-OCT and SD-OCT) devices when imaging normal and pathologic eyes.
Design
Prospective, observational study in an academic institutional setting.
Methods
A total of 110 eyes were imaged by 6 different OCT devices: Stratus and Cirrus (Carl Zeiss Meditec Inc), Spectralis HRA+OCT (Heidelberg Engineering), RTVue-100 (Optovue Inc), SDOCT Copernicus HR (Optopol Technology S.A.), and 3D OCT-1000 (Topcon Corporation). Eyes were normal or affected by different pathologies of the retina, including exudative and nonexudative age-related macular degeneration, epiretinal membrane, cystoid macular edema, and macular hole. For each instrument we used standard analysis protocols for macular thickness evaluation. Mean retinal thickness values between the instruments in the ETDRS central circular 1000-μm-diameter areas and in the ETDRS midperipheral circular 3000-μm-diameter areas were compared.
Results
The 6 different devices produced measurements that differ in variance (Bartlett test, P = .006), and mean values (Friedman test, P < .001). Bland-Altman analysis revealed that the limits of agreement for all the comparisons were not acceptable. Regression was calculated and it was elaborated into a conversion table, despite a high standard error for both intercepts and slope conversion values.
Conclusions
This study suggests that retinal thickness measurements obtained with various OCT devices are different beyond clinical practice tolerance, according to Bland-Altman analysis. Furthermore, regression analysis reveals high standard error values. These differences appear to be primarily attributable to the analysis algorithms used to set retinal inner and outer boundaries.
Optical coherence tomography (OCT) allows noninvasive capturing of cross-sectional high-resolution images of the retina in various pathologies. Since its introduction, OCT has allowed for the measurement of retinal thickness over time with good reliability and reproducibility. This feature has improved the clinical efficiency of diagnosis and follow-up of both normal retinas and those with pathologic conditions. Recent improvements in OCT technology have led to the development of a new generation of machines, based on spectral-domain principles (SD-OCT). These instruments differ from the previous time-domain OCT (TD-OCT) machines, by permitting faster image acquisition speeds and higher axial resolution. The introduction of these new commercially available OCT devices offers many advantages, including hardware and software improvements with potential economic convenience because of major competition between a greater number of manufacturing companies. However, such variety in the marketplace for OCT technology has led to variability in retinal measurements and subsequent confusion in the interpretation of examinations. This has further complicated the delineation of the guidelines and procedures from the different reading centers in multicenter clinical trials.
In this study we used the most commonly utilized TD-OCT (Stratus OCT; Carl Zeiss Meditec Inc, Dublin, California, USA) and 5 new SD-OCTs to examine the same patients’ eyes, in the same visit, to evaluate possible variability in retinal thickness measurements with the different machines.
Methods
This prospective study was performed on consecutive patients with pathologic retinal diseases and also normal retinas at the Eye Clinic, Department of Clinical Science, Luigi Sacco Hospital, University of Milan after obtaining informed written consent. All patients underwent OCT examination on the same clinic visit using 6 different OCT instruments: Stratus (Version 4.0.2; Carl Zeiss Meditec Inc), Cirrus (Version 2.0.0.54; Carl Zeiss Meditec Inc), Spectralis HRA+OCT (Version 3.1.4; Heidelberg Engineering, Heidelberg, Germany), RTVue-100 (Version 2.5; Optovue Inc, Fremont, California, USA), SDOCT Copernicus HR (Version 2.01; Optopol Technology SA, Zawiercie, Poland), and 3D OCT-1000 (Version 2.12; Topcon Corporation, Tokyo, Japan).
The order of OCT examinations was randomly chosen for each patient and a minimum of 15 minutes elapsed between each examination. Expert and trained operators performed all the OCT examinations according to the analysis protocol and variables for each machine ( Table 1 ). For each machine, the best achievable image quality was obtained by providing artificial tears/lubricants before each scanning session and accounting for the best-corrected visual acuity when adjusting the focus. Following each examination, the images were deemed acceptable if the retina was clearly visible and distinguishable in every B-scan, no eye movement or blinking artifacts occurred during the examination, and the full depth and extent of the retina was visualized in each B-scan image.
Instrument | Protocol | Area | Scan Lines | A-scans per B-scan |
---|---|---|---|---|
Zeiss Stratus | Fast macular thickness map | 6-mm lines, equally spaced 30 degrees apart centered at the fovea | 6 lines | 128 |
Zeiss Cirrus | 512 × 128 cube | 6 × 6 mm | 128 horizontal lines | 512 |
Heidelberg Spectralis | Volume | 19 horizontal, consecutive parallel lines on area of 30 degrees (length) per 15 degrees (height) | Real-time mean image reconstruction on 20 single frames | 1536 |
Optovue RTVue-100 | MM5 | 5 × 5 mm centered on the fovea | 11 horizontal and 11 vertical lines (central 3 × 3-mm area) | 668 on 3 × 3-mm area |
6 horizontal and 6 vertical lines (central 5 × 5-mm area) | 400 on 5 × 5-mm area | |||
Optopol Copernicus | 3D scan | 7 × 7 mm | 50 horizontal lines | 743 |
Topcon 3D OCT-1000 | 3D acquisition | 6 × 6 mm | 128 horizontal lines | 512 |
All of the instruments provided a retinal thickness map based on the ETDRS model: 3 concentric circular areas are centered on the fixation point. The diameter of each area is 1, 3, and 6 mm for all the instruments with the exception of the RTVue-100, which, according to the protocol used in this study, produced a map of 1-, 3-, and 5-mm concentric areas. The midperipheral concentric areas are divided into 4 subfields: superior, inferior, nasal, and temporal. In each one of these areas, including the central area, the software elaborates the mean value from all the thickness measurements on each single A-scan. In this study the comparative analysis was assessed on the mean thickness values of the central and midperipheral areas. This is because the external peripheral area extension was not uniform between the different instruments. Expert observers evaluated the artifacts of each single B-scan, produced during automatic retinal segmentation. Errors were defined by evidence of incongruence greater than 5 μm between real retinal inner and outer limit and the automatic positioning by the software of the OCTs. The presence of at least 1 error in any one B-scan was considered sufficient to classify the examination as affected by artifacts. Three different expert examiners performed this analysis.
Statistical Analysis
Statgraphics ver.5.1 (Statistical Graphics Corp, Herndon, Virginia, USA) and R language (available at www.R-project.org ) statistics software were used.
Data were analyzed using Shapiro-Wilk test to evaluate the normality of sample distribution, Bartlett test to evaluate variance homogeneity, and Friedman test to compare mean values. A P value > .05 was considered significant. We also used Bland-Altman analysis, setting the limits of agreement (LOA) to 2 standard deviations, and we calculated the Pearson correlation coefficient between means and differences on Bland-Altman graphs (R value). Regression analysis was executed to elaborate conversion values between the instruments.
Results
Image analysis was performed on a total of 110 eyes (63 patients; 23 male, 40 female). The mean patient age was 65.7 (range: 20–90); the mean corrected visual acuity was 20/32 (range: 20/320–20/20). Thirty-one of the eyes (28.2%) were normal, 25 (22.7%) were affected by exudative age-related macular degeneration, 17 (15.5%) by epiretinal membrane without foveal contour alterations, 13 (11.8%) by cystoid macular edema from diabetic retinopathy, and 12 (10.9%) by nonexudative age-related macular degeneration. The 12 remaining eyes (10.9%) were affected by macular hole, branch retinal vein occlusion, Stargardt disease, and central serous chorioretinopathy.
During the acquisition of images and data analysis there was some minor loss of data: results from 5 eyes in superior, temporal, and nasal peripheral areas and from 9 eyes in inferior peripheral areas were lost.
The analysis of retinal segmentation errors revealed that for the whole study population the total percentage of examinations showing at least 1 error was 25.4% (168/660); the percentage in normal eyes was 6.9% (13/186) and in pathologic eyes was 32.7% (155/474).
Retinal Segmentation
All the OCT instruments identified the inner retinal boundary as the first interferometric signal after the vitreous hyporeflective space, which corresponds to the internal limiting membrane. However, there were important differences between positioning of the outer retinal boundaries ( Figure 1 ). The Zeiss Stratus identifies the outer boundary at the inner-outer photoreceptor junctional interface. The Topcon 3D OCT and the Optopol Copernicus identify the outer boundary at the inner limit of the retinal pigment epithelium (RPE) layer, the Zeiss Cirrus at the middle of the RPE layer, the Optovue RTVue-100 at the external limit of the RPE, and the Heidelberg Spectralis at the Bruch membrane.
These differences are very relevant in pathologies that affect the RPE–Bruch membrane complex, particularly in cases of choroidal neovascularization ( Figure 2 , Table 2 ). In these cases the measurements are very different, especially when comparing the Zeiss Cirrus and the Heidelberg Spectralis.
Instrument | Exudative AMD | Epiretinal Membrane | CME in DR | Nonexudative AMD |
---|---|---|---|---|
Zeiss Cirrus | 315 ± 77 | 318 ± 78 | 354 ± 131 | 278 ± 34 |
Optopol Copernicus | 189 ± 116 | 224 ± 92 | 262 ± 129 | 176 ± 33 |
Optovue RTvue-100 | 288 ± 95 | 313 ± 81 | 353 ± 118 | 273 ± 34 |
Heidelberg Spectralis | 384 ± 135 | 331 ± 82 | 390 ± 135 | 292 ± 34 |
Zeiss Stratus | 243 ± 73 | 256 ± 77 | 320 ± 101 | 220 ± 25 |
Topcon 3D OCT-1000 | 259 ± 99 | 283 ± 86 | 348 ± 122 | 234 ± 35 |
Correlation Analysis
Thickness measurements of the entire sample of patients did not follow a normal distribution (Shapiro-Wilk test, P < .0001). Most of the pathologic conditions showed increased macular thickness, and this subset of measurements did not follow a normal distribution (Shapiro-Wilk test, P < .0001). Retinal thickness measurements from healthy eyes, however, had a normal distribution (Shapiro-Wilk test, P = .15).
The 6 different devices produced measurements without equal variances (Bartlett test, P = .006) and also with different mean values (Friedman test, P < .001) ( Figure 3 , Table 3 ). We obtained the same result: 1) excluding examinations with at least 1 artifact in retinal segmentation (Bartlett test, P = .012; Friedman, P < .001); 2) analyzing normal subjects only (Bartlett test, P < .001; Friedman, P < .001); 3) analyzing normal subjects and excluding examinations with at least 1 artifact (Bartlett test, P < .001; Friedman, P < .001); 4) analyzing retinal thickness mean values in the peripheral areas (Bartlett test, P < .02, Friedman, P < .001); and 5) analyzing retinal thickness mean values in the peripheral areas on normal subjects only (Bartlett test, P < .045, Friedman, P < .001).