Classification of advanced and early stages of diabetic retinopathy from non-diabetic subjects by an ordinary least squares modeling method applied to OCTA images
| Autor: | Hossein Ameri, Carolyn L. Kaloostian, Jennifer Cano, William D. O'Neill, Norman P. Blair, Mahnaz Shahidi, Richard D. Penn, Amir H. Kashani |
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| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
medicine.medical_specialty medicine.diagnostic_test business.industry Diabetic retinopathy Optical coherence tomography angiography medicine.disease 01 natural sciences Atomic and Molecular Physics and Optics eye diseases Article 010309 optics Ophthalmoscopy 03 medical and health sciences Ophthalmology 0103 physical sciences Ordinary least squares medicine Screening method business 030304 developmental biology Biotechnology Non diabetic |
| Zdroj: | Biomed Opt Express |
| ISSN: | 2156-7085 |
| Popis: | As the prevalence of diabetic retinopathy (DR) continues to rise, there is a need to develop computer-aided screening methods. The current study reports and validates an ordinary least squares (OLS) method to model optical coherence tomography angiography (OCTA) images and derive OLS parameters for classifying proliferative DR (PDR) and no/mild non-proliferative DR (NPDR) from non-diabetic subjects. OLS parameters were correlated with vessel metrics quantified from OCTA images and were used to determine predicted probabilities of PDR, no/mild NPDR, and non-diabetics. The classification rates of PDR and no/mild NPDR from non-diabetic subjects were 94% and 91%, respectively. The method had excellent predictive ability and was validated. With further development, the method may have potential clinical utility and contribute to image-based computer-aided screening and classification of stages of DR and other ocular and systemic diseases. |
| Databáze: | OpenAIRE |
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