| Comparison of Reliability in Diabetic Macular Edema Estimates between Two Image Analysis Algorithms. |
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Hyo Jung Gye, Jeong Hun Bae, Su Jeong Song |
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Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea. eye-su@hanmail.net |
| 빛간섭단층촬영 영상의 분석 알고리즘에 따른 당뇨황반부종 측정치의 신뢰도 비교 |
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계효정⋅배정훈⋅송수정 |
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성균관대학교 의과대학 강북삼성병원 안과학교실 |
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Received: 3 December 2015 • Revised: 24 February 2016 • Accepted: 22 April 2016 |
| 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. |
| Key Words:
Central foveal thickness;Diabetic macular edema;Optical coherence tomography;Reliability;Segmentation algorithm |
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