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Related Experiment Video

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Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies
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Comparison of Common Retinal Vessel Caliber Measurement Software and a Conversion Algorithm.

WanFen Yip1, Yih Chung Tham1, Wynne Hsu2

  • 1Singapore Eye Research Institute, Singapore National Eye Centre, Singapore ; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore.

Translational Vision Science & Technology
|October 19, 2016
PubMed
Summary

Retinal vessel caliber measurements differ across software systems, but their associations with systemic factors are similar. A new algorithm enables data conversion between systems for better pooling and normative value establishment.

Keywords:
epidemiologyretinal vasculatureretinal vessels

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Area of Science:

  • Ophthalmology and Vision Science
  • Medical Imaging Analysis
  • Biostatistics

Background:

  • Accurate measurement of retinal vessel caliber is crucial for assessing ocular and systemic health.
  • Existing software systems for retinal vessel analysis show variability in measurements, hindering data comparison.
  • Standardization is needed for reliable interpretation of retinal vascular parameters across studies.

Purpose of the Study:

  • To compare the agreement of retinal vessel caliber measurements between three common software systems: Retinal Analysis (RA), Integrative Vessel Analysis (IVAN), and Singapore I Vessel Assessment (SIVA).
  • To develop and validate an algorithm for converting measurements between these software systems.

Main Methods:

  • Retinal photographs from 120 individuals were analyzed using RA, IVAN, and SIVA.
  • Bland-Altman plots assessed agreement for central retinal artery equivalent (CRAE) and central retinal vein equivalent (CRVE) calibers.
  • Pearson's correlation and Z-tests evaluated associations with systemic factors and compared correlation strengths across software; a conversion algorithm was developed and tested using paired t-tests.

Main Results:

  • Significant differences were observed in absolute CRAE and CRVE measurements between SIVA and both RA and IVAN.
  • Despite measurement differences, the correlations between systemic factors and retinal vessel calibers were not significantly different across the three software systems.
  • The proposed algorithm successfully converted RA and IVAN measurements to SIVA-approximates with no significant difference compared to direct SIVA measurements.

Conclusions:

  • While absolute retinal vessel caliber measurements vary between RA, IVAN, and SIVA, their associations with systemic factors remain consistent.
  • The developed conversion algorithm facilitates data pooling and the establishment of normative values for retinal vascular caliber measurements across different software.
  • This standardization is vital for future research and clinical applications involving retinal vascular analysis.