2010
DOI: 10.1007/s00592-010-0193-5
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OCT is not useful for detection of minimal diabetic retinopathy in type 1 diabetes

Abstract: Optical coherence tomography (OCT) has been proven useful in measuring retinal thickness (RT) in patients with diabetes, although with discordant results in different studies. We examined RT in patients with type 1 diabetes (T1D) with or without minimal diabetic retinopathy (MDR) to test whether OCT is able to identify early retinal changes and potential correlations with metabolic parameters. RT of 102 patients with T1D (53 females, 49 males, aged 27.03 +/- 7.4 years) and of 42 healthy controls was examined, … Show more

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Cited by 15 publications
(12 citation statements)
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“…Interestingly, in Ciresi et al. compared full retinal thickness of 48 patients with type 1 DM without DR and 54 with NPDR with healthy controls and did not find any difference even after a mean disease duration of 6.3 ± 6 and 15.5 ± 4 years, respectively.…”
Section: Discussionmentioning
confidence: 94%
“…Interestingly, in Ciresi et al. compared full retinal thickness of 48 patients with type 1 DM without DR and 54 with NPDR with healthy controls and did not find any difference even after a mean disease duration of 6.3 ± 6 and 15.5 ± 4 years, respectively.…”
Section: Discussionmentioning
confidence: 94%
“…A recent report by Ciresi et al questioned the clinical utility of TRT measurements to identify early DR due to the wide variability of thickness values based on retinal location and inter-patient differences(53). As our data suggests, monitoring changes in TRT alone may not provide enough information to determine significant changes due to minimal diabetic retinopathy.…”
Section: Discussionmentioning
confidence: 99%
“…Typical lesions in progressed DR/DME such as intraretinal cystoid fluid, subretinal fluid and hyper-reflective foci are easy to detect but discreet depth changes in mild DR or subclinical stages of DR are not obvious. Earlier studies concluded that at least thickness measurements in time-domain OCT are unhelpful in early DR (Ciresi et al 2010). Today, automated algorithms, for example layer segmentation software, make quantifying the thickness of individual retinal layers and qualitatively evaluate lesions in each layer possible.…”
Section: Introductionmentioning
confidence: 99%