Application of Novel Software Algorithms to Spectral-Domain Optical Coherence Tomography for Automated Detection of Diabetic Retinopathy.
| Autor: | Adhi M, Semy SK, Stein DW, Potter DM, Kuklinski WS, Sleeper HA, Duker JS, Waheed NK |
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| Jazyk: | angličtina |
| Zdroj: | Ophthalmic surgery, lasers & imaging retina [Ophthalmic Surg Lasers Imaging Retina] 2016 May 01; Vol. 47 (5), pp. 410-7. |
| DOI: | 10.3928/23258160-20160419-03 |
| Abstrakt: | Background and Objective: To present novel software algorithms applied to spectral-domain optical coherence tomography (SD-OCT) for automated detection of diabetic retinopathy (DR). Patients and Methods: Thirty-one diabetic patients (44 eyes) and 18 healthy, nondiabetic controls (20 eyes) who underwent volumetric SD-OCT imaging and fundus photography were retrospectively identified. A retina specialist independently graded DR stage. Trained automated software generated a retinal thickness score signifying macular edema and a cluster score signifying microaneurysms and/or hard exudates for each volumetric SD-OCT. Results: Of 44 diabetic eyes, 38 had DR and six eyes did not have DR. Leave-one-out cross-validation using a linear discriminant at missed detection/false alarm ratio of 3.00 computed software sensitivity and specificity of 92% and 69%, respectively, for DR detection when compared to clinical assessment. Conclusion: Novel software algorithms applied to commercially available SD-OCT can successfully detect DR and may have potential as a viable screening tool for DR in future. [Ophthalmic Surg Lasers Imaging Retina. 2016;47:410-417.]. (Copyright 2016, SLACK Incorporated.) |
| Databáze: | MEDLINE |
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