Spectral domain optical coherence tomography based imaging biomarkers for diabetic retinopathy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F19%3A00072390" target="_blank" >RIV/00159816:_____/19:00072390 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14110/19:00112408

Result on the web

<a href="https://link.springer.com/article/10.1007%2Fs12020-019-02093-7" target="_blank" >https://link.springer.com/article/10.1007%2Fs12020-019-02093-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12020-019-02093-7" target="_blank" >10.1007/s12020-019-02093-7</a>

Result language

angličtina

Original language name

Spectral domain optical coherence tomography based imaging biomarkers for diabetic retinopathy

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30202 - Endocrinology and metabolism (including diabetes, hormones)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

ENDOCRINE

ISSN

1355-008X

e-ISSN

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Volume of the periodical

66

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

8

Pages from-to

509-516

UT code for WoS article

000504207800010

EID of the result in the Scopus database

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