Comparison of evaluation parameters in the retinal layer between diabetic cystoid macular edema and postoperative cystoid macular edema after cataract surgery based on a hierarchical approach
- Authors
- Jo, Eun Byeol; Lee, JuHwan; Hwang, Yoo Na; Kim, Sung Min
- Issue Date
- 8-Dec-2015
- Publisher
- IOS PRESS
- Keywords
- Retinal layer; optical coherence tomography; diabetic cystoid macular edema; postoperative cystoid macular edema; hierarchical approach
- Citation
- TECHNOLOGY AND HEALTH CARE, v.24, no.s1, pp S59 - S68
- Indexed
- SCIE
SCOPUS
- Journal Title
- TECHNOLOGY AND HEALTH CARE
- Volume
- 24
- Number
- s1
- Start Page
- S59
- End Page
- S68
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/19098
- DOI
- 10.3233/THC-151052
- ISSN
- 0928-7329
1878-7401
- Abstract
- In this study, several variables related to the thickness of the retinal layer were measured via optical coherence tomography (OCT), and the clinical applicability of such measurements was evaluated to differentiate between diabetic cystoid macular edema (DCME) and postoperative cystoid macular edema (PCME). To this end, a total of 120 subjects (30 healthy individuals, 60 DCME patients, and 30 PCME patients) were selected as the experimental subjects. The six risk factors included the thicknesses for the total retina (TR), the inner retina (IR), the photoreceptor outer segments (POS), the outer retina (OR), the ganglion cell (GC), and the retinal nerve fiber layer (RNFL), and these were estimated by using a hierarchical approach through observations from OCT image scans. All of the risk factors were obtained from the OCT images captured within a 6-mm diameter from the center of the macula. The results of the experiment indicated that the proposed method can reliably differentiate between DCME and PCME. Moreover, as DCME and PCME progressed, the most significant deterioration was found in the central macular region. These results suggest that the proposed method has clinical applicability for the diagnosis of DCME and PCME from OCT images.
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Collections - College of Life Science and Biotechnology > Department of Biomedical Engineering > 1. Journal Articles

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