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Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies
Published on: March 12, 2022
Retinal vessel tortuosity measures and their applications
Angelos A Kalitzeos1, Gregory Y H Lip, Rebekka Heitmar
1Aston University, School of Life and Health Sciences, Aston Triangle, Birmingham B4 7ET, UK.
Experimental Eye Research
|November 14, 2012
Summary
Retinal vessel tortuosity is now objectively measured, moving beyond subjective assessments. This review details methods for calculating tortuosity and discusses its clinical uses and limitations.
Area of Science:
- Ophthalmology and medical imaging analysis.
- Biomedical engineering and computational analysis of biological structures.
Background:
- Traditional classification of retinal vascular diseases relies on subjective assessments.
- Objective quantification of retinal vascular features like caliber, tortuosity, and bifurcation angles is advancing.
Purpose of the Study:
- To provide a comprehensive overview of current methodologies for calculating retinal vessel tortuosity.
- To discuss the clinical applications of retinal vessel tortuosity measurements.
- To critically review the limitations and challenges associated with current methods.
Main Methods:
- Review of existing literature on retinal vessel tortuosity quantification techniques.
- Description of various computational algorithms and parameter calculations for tortuosity.
- Analysis of clinical studies utilizing retinal vessel tortuosity as a biomarker.
Main Results:
- Objective measurement of retinal vessel tortuosity is replacing subjective grading systems.
- Multiple parameters and computational methods exist for quantifying retinal vessel tortuosity.
- Retinal vessel tortuosity has demonstrated clinical relevance in various ocular and systemic diseases.
Conclusions:
- Objective quantification of retinal vessel tortuosity offers a more reliable approach to disease assessment.
- Understanding the methodologies and limitations is crucial for accurate clinical application.
- Further research is needed to refine computational methods and expand clinical utility.

