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Article Dans Une Revue Diagnostics Année : 2023

Hybrid fusion of high-resolution and ultra-widefield OCTA acquisitions for the automatic diagnosis of diabetic retinopathy

Bruno Lay
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Ramin Tadayoni
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Résumé

Optical coherence tomography angiography (OCTA) can deliver enhanced diagnosis for 1 diabetic retinopathy (DR). This study evaluates a deep learning (DL) algorithm for automatic DR 2 severity assessment using High-Resolution and Ultra-Wide Field (UWF) OCTA. Diabetic patients were 3 examined with 6 × 6 mm2 High-Resolution OCTA and 15 × 15 mm2 UWF-OCTA using PLEX®Elite 4 9000. A novel DL algorithm was trained for automatic DR severity inference using both OCTA 5 acquisitions. The algorithm employed a unique hybrid fusion framework, integrating structural 6 and flow information from both acquisitions. It was trained on data from 875 eyes of 444 patients. 7 Tested on 53 patients (97 eyes), the algorithm achieved good Area under the Receiver Operating 8 Characteristic curve (AUC) for detecting DR (0.8868), moderate non-proliferative DR (0.8276), severe 9 non-proliferative DR (0.8376), and proliferative/treated DR (0.9070). These results significantly 10 outperformed detection with the 6 × 6 mm2 (AUC = 0.8462, 0.7793, 0.7889, 0.8104, respectively) or 11 15 × 15 mm2 (AUC = 0.8251, 0.7745, 0.7967, 0.8786, respectively) acquisitions alone. Thus, combining 12 High-Resolution and UWF-OCTA acquisitions holds the potential for improved early and late-stage 13 DR detection, offering a foundation for enhancing DR management and a clear path for future works 14 involving expanded datasets and integrating additional imaging modalities.

Dates et versions

hal-04186910 , version 1 (24-08-2023)

Identifiants

Citer

Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, et al.. Hybrid fusion of high-resolution and ultra-widefield OCTA acquisitions for the automatic diagnosis of diabetic retinopathy. Diagnostics, 2023, 13 (17), pp.2770. ⟨10.3390/diagnostics13172770⟩. ⟨hal-04186910⟩
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