Comparison of repeatability of swept-source and spectral-domain optical coherence tomography for measuring inner retinal thickness in retinal disease

Hong, Eun Hee; Ryu, So Jung; Kang, Min Ho; Seong, Mincheol; Cho, Heeyoon; Yeom, Jong Hun; Shin, Yong Un

doi:10.1371/journal.pone.0210729

Cited by 17 publications

(11 citation statements)

References 30 publications

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“…The thickness at one to seven grids of six macular neuroretinal layers and RPE in patients without diabetic neuropathy was significantly thinner than those in controls. However, the influence of diabetes on the thickness of the macular neuroretinal layers had not been consistent (8,29), because OCT image quality depends on the instrument reliability and measurement variability (30). SS-OCT uses 1 µ wavelength light source, allowing deeper penetration into the photoreceptors and RPE (31).…”

Section: Discussionmentioning

confidence: 99%

Thinning of Macular Neuroretinal Layers Contributes to Sleep Disorder in Patients With Type 2 Diabetes Without Clinical Evidences of Neuropathy and Retinopathy

Ishibashi

Tavakoli

2020

Front. Endocrinol.

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Aims: To investigate the impact of thinning at individual grids of macular neuroretinal layers, clinical factors, and inadequate light exposure on the specific components of sleep disorder in patients with type 2 diabetes.Methods: One hundred twenty-four patients with type 2 diabetes without clinical evidences of diabetic retinopathy and neuropathy (HbA1c: 8.3%, diabetes duration; 8.7 years) and 54 age-and sex-matched control subjects (HbA1c: 5.6%) underwent detailed clinical, neurological, and ophthalmological examinations. The sleep disorder was assessed by the Pittsburgh Sleep Quality Index Japanese Version (PSQI-J). The temporal structures of daily life were assessed by the Munich Chronotype Questionnaire Japanese Version. The thickness at nine grids defined by the Early Treatment Diabetic Retinopathy Study of nine macular neuroretinal layers was determined by swept-source optical coherence tomography and OCT-Explorer. The associations between the individual components of sleep disorders and the thickness at each grid of macular neuroretinal layers, clinical factors, or the temporal structures of daily life were examined.Results: The prevalence of the sleep disorder, global score, and four individual PSQI-J scores in patients with type 2 diabetes were higher than control subjects. The thickness of two and five grids of two inner retinal layers and four to seven grids of four outer retinal layers in patients with type 2 diabetes was thinner than those in control subjects. The thickness at one to eight grids of four outer retinal layers in type 2 diabetic patients was inversely associated with global score and five individual scores of sleep disorder. The thinning at one to two grids of the inner plexiform layer was related to three high individual scores of sleep disorder. The inappropriate light exposure was associated with the sleep disorder and altered macular neuroretinal layers. The high HbA1c and LDL-cholesterol levels were related to the high global score and two individual scores of sleep disorder, respectively. Ishibashi and Tavakoli Neuroretinal Alterations and Sleep DisorderConclusion: In patients with type 2 diabetes, the thinning at grids of the inner plexiform layer and outer retinal layers was associated with the high scores of specific components of the sleep disorder. The sleep disorder was also related to hyperglycemia, dyslipidemia, and inappropriate light exposure. Keywords: inappropriate light exposure, optical coherence tomography, Pittsburgh sleep quality index Japanese version, sleep disorder, thinning of macular neuroretinal layer, type 2 diabetes Abbreviations: ETDRS, Early Treatment Diabetic Retinopathy Study; GCL, ganglion cell layer; INL, inner nuclear layer; IPL, inner plexiform layer; IS/OS, junction of inner and outer segment of photoreceptor; OCT, optical coherence tomography; ONL, outer nuclear layer; OPL, outer plexiform layer; OPR, outer segment of photoreceptor/retinal pigment epithelium complex; PSQI-J, Pittsburgh Sleep Quality Index Japanese Version; RNFL, retinal nerve f...

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Section: Discussionmentioning

confidence: 99%

Thinning of Macular Neuroretinal Layers Contributes to Sleep Disorder in Patients With Type 2 Diabetes Without Clinical Evidences of Neuropathy and Retinopathy

Ishibashi

Tavakoli

2020

Front. Endocrinol.

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“…Measurements of thickness (central macular, superior, inferior, temporal, and nasal quadrants) were recorded for each participant using MS Excel (Microsoft Corp., Redmond, WA, USA). Because the repeatability of SDOCT is reportedly high, with an interclass correlation coefficient of 0.9–1.0, 9 a single SDOCT examination was performed for each participant. The retinal thickness difference index (TDI) was also determined; this parameter is determined by subtracting foveal thickness from the thicknesses of other macular sectors (for example, TDI of superior macula = superior macular thickness – foveal thickness).…”

Section: Methodsmentioning

confidence: 99%

Central macular thickness in patients with sickle cell disease and no signs of retinopathy: a cross-sectional study of Jordanian patients

et al. 2021

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Objectives To measure central macular thickness in Jordanian patients with sickle cell disease who did not have retinopathy and compare the findings with age- and sex-matched controls using spectral domain optical coherence tomography (SDOCT). Methods In this cross-sectional study, participants underwent visual acuity testing, slit-lamp bio-microscopy, dilated ophthalmoscopy, and SDOCT imaging to measure central macular thickness. Macular quadrant measurements and thickness difference indexes (TDIs) were compared between groups. Results Twenty eyes with sickle cell disease and 20 control eyes were enrolled. The median visual acuity in both groups was 20/20. The mean macular thickness was significantly lower in eyes with sickle cell disease than in matched controls (mean difference, 22.15 ± 6.44 µm). Peripheral quadrants were all significantly thinner in eyes with sickle cell disease, especially in superior and temporal quadrants. TDIs were lower in eyes with sickle cell disease than in control eyes. Conclusions Eyes with sickle cell disease that had no clinical evidence of retinopathy exhibited significantly lower central macular thickness in all quadrants, compared with eyes in age- and sex-matched controls. SDOCT is a non-invasive imaging modality that can detect preclinical changes in eyes with sickle cell disease and can be used to screen and monitor the disease process.

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“…An accurate evaluation of the corneal endothelial layer is a critical step for appropriate clinical assessment and patient management. 9,12,15,16 Although the Konan-Noncon Robo SP-6000 and the Tomey EM-3000 SMs are widely used in clinical practice, there is a paucity of data regarding the interchangeability of the two devices. Our data show that the Konan-Noncon Robo SP-6000 and the Tomey EM-3000 are highly comparable when using the manual center technique and the manual L-count method analysis, respectively, with a mean ECD difference of only 12.4 cells/mm 2 , a mean ECD absolute difference of 93.3 cells/ mm 2 , and low 95% LoA.…”

Section: Discussionmentioning

confidence: 99%

Agreement of Corneal Endothelial Cell Analysis Between Konan-Noncon Robo SP-6000 and Tomey EM-3000 Specular Microscopes in Healthy Subjects

Jbara

Achiron

Antman

et al. 2020

Eye &Amp; Contact Lens: Science &Amp; Clinical Practice

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To compare corneal endothelium parameters taken by two common noncontact specular microscopes in healthy subjects. Methods: Healthy participants visiting the outpatient eye clinic at the Rabin Medical Center, Petah Tikva, Israel, were recruited prospectively. All participants underwent three consecutive corneal endothelial cell photographs with both the Konan-Noncon Robo SP-6000 and the Tomey EM-3000 specular microscopes. Endothelial cell density (ECD) was evaluated using the manual center technique in both machines. Bland-Altman graphs were used to assess the agreement between the devices, and intraclass correlation coefficient (ICC) served to assess intraobserver variability for each device. Results: Recruited were 49 healthy subjects with a mean age of 48.9615.6 years, 49 right eyes were included. The mean ECD was comparable between the Tomey EM-3000 and the Konan-Noncon Robo SP-6000 (2,713.26242.4 vs. 2,700.86300.5 cells/mm 2 , respectively, P¼0.47) with a mean difference of 12.4 cells/mm 2 (0.67%), a mean ECD absolute difference of 93.3 cells/mm 2 , and low 95% limits of agreement of 2222.0 to +246.9 cells/mm 2 . A folded empirical distribution function curve showed that all differences fell within 525.4 cells/mm 2 , centered around a median of 13.3 cells/mm 2 . Intraclass correlation coefficient was high for both the Konan-Noncon Robo SP-6000 (0.93, 95% confidence interval [CI]: 0.89-0.95) and the Tomey EM-3000 (0.88, 95% CI: 0.82-0.93). Conclusions:The difference in endothelial cell measurements between the Konan SP-6000 and the Tomey EM-3000 specular microscopes through the center and the L-count analyzing techniques, respectively, is clinically small and not statistically significant. Nevertheless, caution should be taken when used interchangeably because ECD difference between the two machines can be as high as 525.4 cells/mm 2 .

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Comparison of repeatability of swept-source and spectral-domain optical coherence tomography for measuring inner retinal thickness in retinal disease

Cited by 17 publications

References 30 publications

Thinning of Macular Neuroretinal Layers Contributes to Sleep Disorder in Patients With Type 2 Diabetes Without Clinical Evidences of Neuropathy and Retinopathy

Thinning of Macular Neuroretinal Layers Contributes to Sleep Disorder in Patients With Type 2 Diabetes Without Clinical Evidences of Neuropathy and Retinopathy

Central macular thickness in patients with sickle cell disease and no signs of retinopathy: a cross-sectional study of Jordanian patients

Agreement of Corneal Endothelial Cell Analysis Between Konan-Noncon Robo SP-6000 and Tomey EM-3000 Specular Microscopes in Healthy Subjects

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