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@article{1604536,
author = {Saxena, Sandeep and Caprnda, Martin and Ruia, Surabhi and Prasad, Senthamizh and Ankita, Ankita and Fedotova, Julia and Kružliak, Peter and Krasnik, Vladimir},
article_location = {NEW YORK},
article_number = {3},
doi = {http://dx.doi.org/10.1007/s12020-019-02093-7},
keywords = {Diabetic retinopathy; Diabetic macular edema; Central subfield thickness; Cube average thickness; Cube volume; Spectral-domain optical coherence tomography},
language = {eng},
issn = {1355-008X},
journal = {ENDOCRINE},
title = {Spectral domain optical coherence tomography based imaging biomarkers for diabetic retinopathy},
url = {http://dx.doi.org/10.1007/s12020-019-02093-7},
volume = {66},
year = {2019}
}
TY - JOUR
ID - 1604536
AU - Saxena, Sandeep - Caprnda, Martin - Ruia, Surabhi - Prasad, Senthamizh - Ankita, Ankita - Fedotova, Julia - Kružliak, Peter - Krasnik, Vladimir
PY - 2019
TI - Spectral domain optical coherence tomography based imaging biomarkers for diabetic retinopathy
JF - ENDOCRINE
VL - 66
IS - 3
SP - 509-516
EP - 509-516
PB - SPRINGER
SN - 1355008X
KW - Diabetic retinopathy
KW - Diabetic macular edema
KW - Central subfield thickness
KW - Cube average thickness
KW - Cube volume
KW - Spectral-domain optical coherence tomography
UR - http://dx.doi.org/10.1007/s12020-019-02093-7
L2 - http://dx.doi.org/10.1007/s12020-019-02093-7
N2 - 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.
ER -
SAXENA, Sandeep, Martin CAPRNDA, Surabhi RUIA, Senthamizh PRASAD, Ankita ANKITA, Julia FEDOTOVA, Peter KRUŽLIAK and Vladimir KRASNIK. Spectral domain optical coherence tomography based imaging biomarkers for diabetic retinopathy. \textit{ENDOCRINE}. NEW YORK: SPRINGER, 2019, vol.~66, No~3, p.~509-516. ISSN~1355-008X. Available from: https://dx.doi.org/10.1007/s12020-019-02093-7.
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