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Related Experiment Video

Updated: May 22, 2025

Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies
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Retinal Microvascular Biomarker Assessment With Automated Algorithm and Semiautomated Software in the Montrachet

Pétra Eid1,2, Abderrahmane Bourredjem3, Atif Anwer4

  • 1Ophthalmology Department, Dijon University Hospital, Dijon, France.

Translational Vision Science & Technology
|March 12, 2025
PubMed
Summary
This summary is machine-generated.

Automated retinal analysis software (AutoMorph) showed a high rejection rate, while semiautomated software (SIVA) demonstrated good agreement for vascular complexity and caliber. Further comparisons are needed before adopting automated methods for retinal microvascular biomarkers.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Retinal microvascular biomarkers are crucial for assessing systemic health.
  • Automated and semiautomated methods offer potential for efficient analysis of these biomarkers.
  • Evaluating the performance of new automated algorithms against established semiautomated ones is essential for clinical adoption.

Purpose of the Study:

  • To compare the automated retinal vascular morphology (AutoMorph) algorithm with the semiautomated Singapore "I" Vessel Assessment (SIVA) software.
  • To assess the agreement between these two methods for measuring retinal microvascular biomarkers.

Main Methods:

  • Analysis of retinal fundus photographs from the population-based Montrachet Study (n=1069).
  • Comparison of AutoMorph and SIVA measurements for central retinal venular/arteriolar equivalent, arteriolar-venular ratio, and fractal dimension using intraclass correlation coefficients (ICCs).
  • Evaluation of image rejection rates for both methods.

Main Results:

  • AutoMorph exhibited a high rejection rate (51.17%).
  • Good correlation (ICC: 0.77-0.47) was found between SIVA and AutoMorph for vascular complexity and caliber.
  • Poor correlation (ICC: 0.36-0.23) was observed for vascular calibers, and no correlation for tortuosity.
  • Consistent clinical associations with systemic variables (age, stroke history, blood pressure) were found for both methods.

Conclusions:

  • The automated AutoMorph algorithm presented a substantial rejection rate in this dataset.
  • SIVA and AutoMorph yielded comparable results for vascular complexity and caliber, with consistent clinical associations.
  • Further validation is required before transitioning from semiautomated to fully automated algorithms for retinal microvascular biomarker analysis.