Distribution of different sized ocular surface vessels in diabetics and normal individuals

Touka Banaee*, Hamidreza Pourreza, Hassan Doosti, Mojtaba Abrishami, Asieh Ehsaei, Mohsen Basiry, Reza Pourreza

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Citations (Scopus)
23 Downloads (Pure)

Abstract

Purpose: To compare the distribution of different sized vessels using digital photographs of the ocular surface of diabetic and normal individuals. Methods: In this cross-sectional study, red-free conjunctival photographs of diabetic and normal individuals, aged 30-60 years, were taken under defined conditions and analyzed using a Radon transform-based algorithm for vascular segmentation. The image areas occupied by vessels (AOV) of different diameters were calculated. The main outcome measure was the distribution curve of mean AOV of different sized vessels. Secondary outcome measures included total AOV and standard deviation (SD) of AOV of different sized vessels. Results: Two hundred and sixty-eight diabetic patients and 297 normal (control) individuals were included, differing in age (45.50 ± 5.19 vs. 40.38 ± 6.19 years, P < 0.001), systolic (126.37 ± 20.25 vs. 119.21 ± 15.81 mmHg, P < 0.001) and diastolic (78.14 ± 14.21 vs. 67.54 ± 11.46 mmHg, P < 0.001) blood pressures. The distribution curves of mean AOV differed between patients and controls (smaller AOV for larger vessels in patients; P < 0.001) as well as between patients without retinopathy and those with non-proliferative diabetic retinopathy (NPDR); with larger AOV for smaller vessels in NPDR (P < 0.001). Controlling for the effect of confounders, patients had a smaller total AOV, larger total SD of AOV, and a more skewed distribution curve of vessels compared to controls. Conclusion: Presence of diabetes mellitus is associated with contraction of larger vessels in the conjunctiva. Smaller vessels dilate with diabetic retinopathy. These findings may be useful in the photographic screening of diabetes mellitus and retinopathy.

Original languageEnglish
Pages (from-to)361-367
Number of pages7
JournalJournal of Ophthalmic and Vision Research
Volume12
Issue number4
DOIs
Publication statusPublished - 2017
Externally publishedYes

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

An erratum exists for this article and can be found in the Journal of Ophthalmic and Vision Research (2018) Vol 13(2), at doi:10.4103/2008-322X.229638

Keywords

  • computer‑assisted imagepProcessing
  • conjunctiva
  • diabetes mellitus type 2
  • eye

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