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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 a Vladimir KRASNIK. Spectral domain optical coherence tomography based imaging biomarkers for diabetic retinopathy. \textit{ENDOCRINE}. NEW YORK: SPRINGER, 2019, roč.~66, č.~3, s.~509-516. ISSN~1355-008X. Dostupné z: https://dx.doi.org/10.1007/s12020-019-02093-7.
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