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Spectral domain optical coherence tomography based imaging biomarkers for diabetic retinopathy

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Abstract

To evaluate the role of central subfield thickness (CST), cube average thickness (CAT), and cube volume (CV) as imaging biomarkers for severity of diabetic retinopathy within the ETDRS-based grades of retinopathy using spectral domain optical coherence tomography (SD-OCT). This study aims to evaluate the role of macular CST, CAT, and CV on SD-OCT as imaging biomarkers for severity of DR. One hundred ninety-four consecutive cases of type 2 diabetes mellitus were divided according to ETDRS classification: diabetes mellitus without retinopathy (No DR; n = 65), nonproliferative diabetic retinopathy (NPDR; n = 66), and proliferative diabetic retinopathy (PDR; n = 63). Sixty-three healthy controls were included. CST, CAT, and CV were analyzed using SD-OCT. Data were analyzed statistically. Analysis of variance revealed a significant increase in levels of CST, CAT, CV, and LogMAR visual acuity with the increase in severity of DR. Independent t-test revealed significant difference in CST, CAT, and CV between cases with DME and cases without DME. On multivariate linear regression analysis, increase in CST, CAT, and CV were found to indicate the increase in severity of DR. SD-OCT-based imaging biomarkers CST, CAT, and CV are effective tools for documenting the severity of diabetic retinopathy. These imaging biomarkers serve as significant indicators of severity of disease.

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Author notes

  1. These authors contributed equally: Sandeep Saxena, Martin Caprnda

Authors and Affiliations

  1. Department of Ophthalmology, King George’s Medical University, Lucknow, India

    Sandeep Saxena, Surabhi Ruia &  Ankita

  2. 1st Department of Internal Medicine, Faculty of Medicine, Comenius University and University Hospital, Bratislava, Slovakia

    Martin Caprnda

  3. Department of Community Medicine, King George’s Medical University, Lucknow, India

    Senthamizh Prasad

  4. Laboratory of Neuroendocrinology, I.P. Pavlov Institute of Physiology, Russian Academy of Sciences, St, Petersburg, Russia

    Julia Fedotova

  5. Department of Chemistry and Molecular Biology, ITMO University, St, Petersburg, Russia

    Julia Fedotova

  6. Department of Internal Medicine, Brothers of Mercy Hospital, Brno, Czech Republic

    Peter Kruzliak

  7. 2nd Department of Surgery, Faculty of Medicine, Masaryk University and St. Anne´s University Hospital, Brno, Czech Republic

    Peter Kruzliak

  8. Department of Ophthalmology, Faculty of Medicine, Comenius University and University Hospital, Bratislava, Slovakia

    Vladimir Krasnik

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  1. Sandeep Saxena
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Correspondence to Sandeep Saxena or Peter Kruzliak.

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Saxena, S., Caprnda, M., Ruia, S. et al. Spectral domain optical coherence tomography based imaging biomarkers for diabetic retinopathy. Endocrine 66, 509–516 (2019). https://doi.org/10.1007/s12020-019-02093-7

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  • DOI: https://doi.org/10.1007/s12020-019-02093-7

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