Comparison of Reliability in Diabetic Macular Edema Estimates between Two Image Analysis Algorithms.
10.3341/jkos.2016.57.5.772
- Author:
Hyo Jung GYE
1
;
Jeong Hun BAE
;
Su Jeong SONG
Author Information
1. Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea. eye-su@hanmail.net
- Publication Type:Original Article
- Keywords:
Central foveal thickness;
Diabetic macular edema;
Optical coherence tomography;
Reliability;
Segmentation algorithm
- MeSH:
Ganglion Cysts;
Humans;
Iowa;
Macular Edema*;
Retinaldehyde;
Tomography, Optical Coherence
- From:Journal of the Korean Ophthalmological Society
2016;57(5):772-778
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: To evaluate segmentation reliability in diabetic macular edema (DME) estimates between a Cirrus™ HD-OCT image analysis algorithm and an Iowa reference algorithm, which are an automatic segmentation software. METHODS: Thirty eyes from 23 patients diagnosed with DME were included and underwent spectral-domain optical coherence scans (Cirrus™ HD-OCT). Central foveal thickness (CFT) and ganglion cell layer-inner plexiform layer segmentation data were compared with those produced by the Cirrus™ HD-OCT segmentation algorithm and Iowa reference algorithm. Measurement agreement was assessed using intraclass correlation (ICC) and segmentation errors were confirmed by 2 ophthalmologists. RESULTS: The mean CFT in the 1-mm central area determined by the manufacturer-supplied Cirrus software and Iowa reference algorithm was 512.07 ± 182.35 µm and 476.53 ± 32.36 µm, respectively (p < 0.05). The mean paired difference was 35.53 ± 92.46 µm (ICC, 0.929). Segmentation errors were demonstrated in eyes with a CFT less than 400 µm, specifically for 45% of scans obtained by the Cirrus algorithm and 9% from the Iowa algorithm; in eyes with a CFT equal to or higher than 400 µm, the error rates were 95% and 42%, respectively. CONCLUSIONS: CFT measurement in eyes with diabetic macular edema using the Cirrus algorithm and Iowa algorithm showed relatively high degrees of agreement and significant correlation. In eyes with a CFT equal to or higher than 400 µm, the Iowa algorithm showed higher reliability in retinal segmentation than the Cirrus algorithm.
