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Related Experiment Video

Updated: Jul 28, 2025

Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies
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Comparing Common Retinal Vessel Caliber Measurement Software with an Automatic Deep Learning System.

Shuang He1,2, Gabriella Bulloch3,4, Liangxin Zhang5

  • 1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.

Current Eye Research
|May 29, 2023
PubMed
Summary
This summary is machine-generated.

Retinal vessel caliber measurements showed moderate agreement between IVAN and RMHAS software for CRAE and AVR, and excellent agreement for CRVE. Further validation is needed for clinical interchangeability.

Keywords:
Consistency analysisIVANdeep learning systemretinal vessel caliber measurementsemi-automated analysis software

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Retinal microvascular changes are indicators of systemic vascular health.
  • Accurate measurement of retinal vessel caliber is crucial for diagnosing and monitoring various diseases.
  • Existing software tools for retinal analysis may yield different results, impacting clinical comparability.

Purpose of the Study:

  • To compare the accuracy and agreement of retinal vessel caliber measurements between the Retina-based Microvascular Health Assessment System (RMHAS) and Integrative Vessel Analysis (IVAN) software.
  • To assess the interchangeability of measurements obtained from RMHAS and IVAN for clinical applications.

Main Methods:

  • Retinal fundus photographs from the Lingtou Eye Cohort Study were analyzed using both IVAN and RMHAS software for automatic vascular diameter measurement.
  • Inter-software variations were quantified using intra-class correlation coefficients (ICC) and Bland-Altman plots.
  • Pearson's correlation assessed associations between systemic variables and retinal calibers, and an algorithm for measurement conversion was proposed.

Main Results:

  • Moderate intra-class correlation coefficients (ICCs) were found between IVAN and RMHAS for central retinal artery equivalent (CRAE) (0.62) and arteriolar-to-venular ratio (AVR) (0.42).
  • Excellent ICC was observed for central retinal venule equivalent (CRVE) (0.76).
  • Significant differences in the correlation of systemic parameters with retinal calibers were noted between the two software systems (p < 0.05).

Conclusions:

  • Retinal vessel caliber measurements for CRAE and AVR show moderate agreement between IVAN and RMHAS, while CRVE shows good agreement.
  • The systems are not yet fully interchangeable for clinical practice.
  • Further large-scale studies are required to confirm agreeability and establish comparability between these retinal analysis software tools.