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Vascular changes precede tomographic changes in diabetic eyes without retinopathy and improve artificial intelligence diagnostics.
J Biophotonics. 2020 09; 13(9):e202000107.JB

Abstract

The purpose of this study was to evaluate early vascular and tomographic changes in the retina of diabetic patients using artificial intelligence (AI). The study included 74 age-matched normal eyes, 171 diabetic eyes without retinopathy (DWR) eyes and 69 mild non-proliferative diabetic retinopathy (NPDR) eyes. All patients underwent optical coherence tomography angiography (OCTA) imaging. Tomographic features (thickness and volume) were derived from the OCTA B-scans. These features were used in AI models. Both OCT and OCTA features showed significant differences between the groups (P < .05). However, the OCTA features indicated early retinal changes in DWR eyes better than OCT (P < .05). In the AI model using both OCT and OCTA features simultaneously, the best area under the curve of 0.91 ± 0.02 was obtained (P < .05). Thus, the combined use of AI, OCT and OCTA significantly improved the early diagnosis of diabetic changes in the retina.

Authors+Show Affiliations

Imaging, Biomechanics and Mathematical Modeling solutions Lab, Narayana Nethralaya Foundation, Bangalore, India.Department of Vitreoretinal Diseases, Sankara Nethralaya, Chennai, India.Department of Vitreoretinal Diseases, Sankara Nethralaya, Chennai, India.Department of Vitreoretinal Diseases, Narayana Nethralaya, Bangalore, India.Department of Vitreoretinal Diseases, Narayana Nethralaya, Bangalore, India.Department of Vitreoretinal Diseases, Sankara Nethralaya, Chennai, India.Department of Vitreoretinal Diseases, Narayana Nethralaya, Bangalore, India.Department of Refractive and Cataract surgery, Narayana Nethralaya, Bangalore, India.Imaging, Biomechanics and Mathematical Modeling solutions Lab, Narayana Nethralaya Foundation, Bangalore, India.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32392370

Citation

Govindaswamy, Nivedhitha, et al. "Vascular Changes Precede Tomographic Changes in Diabetic Eyes Without Retinopathy and Improve Artificial Intelligence Diagnostics." Journal of Biophotonics, vol. 13, no. 9, 2020, pp. e202000107.
Govindaswamy N, Ratra D, Dalan D, et al. Vascular changes precede tomographic changes in diabetic eyes without retinopathy and improve artificial intelligence diagnostics. J Biophotonics. 2020;13(9):e202000107.
Govindaswamy, N., Ratra, D., Dalan, D., Doralli, S., Tirumalai, A. A., Nagarajan, R., Mochi, T., Shetty, N., & Sinha Roy, A. (2020). Vascular changes precede tomographic changes in diabetic eyes without retinopathy and improve artificial intelligence diagnostics. Journal of Biophotonics, 13(9), e202000107. https://doi.org/10.1002/jbio.202000107
Govindaswamy N, et al. Vascular Changes Precede Tomographic Changes in Diabetic Eyes Without Retinopathy and Improve Artificial Intelligence Diagnostics. J Biophotonics. 2020;13(9):e202000107. PubMed PMID: 32392370.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Vascular changes precede tomographic changes in diabetic eyes without retinopathy and improve artificial intelligence diagnostics. AU - Govindaswamy,Nivedhitha, AU - Ratra,Dhanashree, AU - Dalan,Daleena, AU - Doralli,Subashchandra, AU - Tirumalai,Anirudha A, AU - Nagarajan,Rajesh, AU - Mochi,Thirumalesh, AU - Shetty,Naren, AU - Sinha Roy,Abhijit, Y1 - 2020/06/18/ PY - 2020/03/24/received PY - 2020/04/30/revised PY - 2020/05/06/accepted PY - 2020/5/12/pubmed PY - 2021/6/24/medline PY - 2020/5/12/entrez KW - angiography KW - artificial intelligence KW - diabetic retinopathy KW - optical coherence tomography SP - e202000107 EP - e202000107 JF - Journal of biophotonics JO - J Biophotonics VL - 13 IS - 9 N2 - The purpose of this study was to evaluate early vascular and tomographic changes in the retina of diabetic patients using artificial intelligence (AI). The study included 74 age-matched normal eyes, 171 diabetic eyes without retinopathy (DWR) eyes and 69 mild non-proliferative diabetic retinopathy (NPDR) eyes. All patients underwent optical coherence tomography angiography (OCTA) imaging. Tomographic features (thickness and volume) were derived from the OCTA B-scans. These features were used in AI models. Both OCT and OCTA features showed significant differences between the groups (P < .05). However, the OCTA features indicated early retinal changes in DWR eyes better than OCT (P < .05). In the AI model using both OCT and OCTA features simultaneously, the best area under the curve of 0.91 ± 0.02 was obtained (P < .05). Thus, the combined use of AI, OCT and OCTA significantly improved the early diagnosis of diabetic changes in the retina. SN - 1864-0648 UR - https://www.unboundmedicine.com/medline/citation/32392370/Vascular_changes_precede_tomographic_changes_in_diabetic_eyes_without_retinopathy_and_improve_artificial_intelligence_diagnostics_ L2 - https://doi.org/10.1002/jbio.202000107 DB - PRIME DP - Unbound Medicine ER -