Application of Novel Software Algorithms to Spectral-Domain Optical Coherence Tomography for Automated Detection of Diabetic Retinopathy
Copyright 2016, SLACK Incorporated.
| Publié dans: | Ophthalmic surgery, lasers & imaging retina. - 2013. - 47(2016), 5 vom: 01. Mai, Seite 410-7 |
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| Auteur principal: | |
| Autres auteurs: | , , , , , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2016
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| Accès à la collection: | Ophthalmic surgery, lasers & imaging retina |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |
| Résumé: | Copyright 2016, SLACK Incorporated. 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.] |
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| Description: | Date Completed 26.06.2017 Date Revised 01.12.2017 published: Print Citation Status MEDLINE |
| ISSN: | 2325-8179 |
| DOI: | 10.3928/23258160-20160419-03 |