Early detection of retinal thickness changes in diabetes using optical coherence tomography

Delia Cabrera DeBuc, G. M. Somfai

Research output: Article

71 Citations (Scopus)

Abstract

Background: Diabetic Retinopathy (DR) is a severe and widely spread eye disease. Thus, an objective test for the early diagnosis and evaluation of treatment in DR is certainly needed. In this study, the ability of intraretinal layer segmentation to locally detect early retinal changes in diabetic patients is assessed using optical coherence tomography (OCT). Material/Methods: Fifty diabetic patients with no or minimal DR underwent ophthalmic examination, OCT and fundus photography. Automated segmentation of intraretinal layers of the OCT images was performed using a custom-built algorithm. Mean thickness of the macula and intraretinal layers of patients with no DR (DM) was calculated in the fovea, pericentral and peripheral regions and compared with those in patients with mild DR (MDR). Results: We found reduced retinal nerve fiber layer (RNFL) thickness in the pericentral and peripheral regions (27±2 versus 18±5 μm and 42±3 versus 33±9 μm, respectively, p

Original languageEnglish
JournalMedical Science Monitor
Volume16
Issue number3
Publication statusPublished - márc. 2010

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Optical Coherence Tomography
Diabetic Retinopathy
Eye Diseases
Photography
Nerve Fibers
Early Diagnosis

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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title = "Early detection of retinal thickness changes in diabetes using optical coherence tomography",
abstract = "Background: Diabetic Retinopathy (DR) is a severe and widely spread eye disease. Thus, an objective test for the early diagnosis and evaluation of treatment in DR is certainly needed. In this study, the ability of intraretinal layer segmentation to locally detect early retinal changes in diabetic patients is assessed using optical coherence tomography (OCT). Material/Methods: Fifty diabetic patients with no or minimal DR underwent ophthalmic examination, OCT and fundus photography. Automated segmentation of intraretinal layers of the OCT images was performed using a custom-built algorithm. Mean thickness of the macula and intraretinal layers of patients with no DR (DM) was calculated in the fovea, pericentral and peripheral regions and compared with those in patients with mild DR (MDR). Results: We found reduced retinal nerve fiber layer (RNFL) thickness in the pericentral and peripheral regions (27±2 versus 18±5 μm and 42±3 versus 33±9 μm, respectively, p",
keywords = "Diabetic retinopathy, Image analysis, Neurodegeneration, Optical coherence tomography, Segmentation algorithms",
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T1 - Early detection of retinal thickness changes in diabetes using optical coherence tomography

AU - DeBuc, Delia Cabrera

AU - Somfai, G. M.

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N2 - Background: Diabetic Retinopathy (DR) is a severe and widely spread eye disease. Thus, an objective test for the early diagnosis and evaluation of treatment in DR is certainly needed. In this study, the ability of intraretinal layer segmentation to locally detect early retinal changes in diabetic patients is assessed using optical coherence tomography (OCT). Material/Methods: Fifty diabetic patients with no or minimal DR underwent ophthalmic examination, OCT and fundus photography. Automated segmentation of intraretinal layers of the OCT images was performed using a custom-built algorithm. Mean thickness of the macula and intraretinal layers of patients with no DR (DM) was calculated in the fovea, pericentral and peripheral regions and compared with those in patients with mild DR (MDR). Results: We found reduced retinal nerve fiber layer (RNFL) thickness in the pericentral and peripheral regions (27±2 versus 18±5 μm and 42±3 versus 33±9 μm, respectively, p

AB - Background: Diabetic Retinopathy (DR) is a severe and widely spread eye disease. Thus, an objective test for the early diagnosis and evaluation of treatment in DR is certainly needed. In this study, the ability of intraretinal layer segmentation to locally detect early retinal changes in diabetic patients is assessed using optical coherence tomography (OCT). Material/Methods: Fifty diabetic patients with no or minimal DR underwent ophthalmic examination, OCT and fundus photography. Automated segmentation of intraretinal layers of the OCT images was performed using a custom-built algorithm. Mean thickness of the macula and intraretinal layers of patients with no DR (DM) was calculated in the fovea, pericentral and peripheral regions and compared with those in patients with mild DR (MDR). Results: We found reduced retinal nerve fiber layer (RNFL) thickness in the pericentral and peripheral regions (27±2 versus 18±5 μm and 42±3 versus 33±9 μm, respectively, p

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KW - Image analysis

KW - Neurodegeneration

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