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An Automated User-friendly Software for Fast Computation of Blood Flow Velocity From Coronary Angiographic Images
Murat Çap1,2, Medeni Karaduman2,3, Tingquan Zhou2,4
1Department of Cardiology, University of Health Sciences Diyarbakir Gazi Yaşargil Education and Research Hospital, Diyarbakır, Turkey.
A new software tool accurately calculates coronary flow velocity (CFV) from angiography, offering superior reproducibility compared to expert measurements. This advancement aids in assessing microvascular function in patients with myocardial infarction.
Area of Science:
- Cardiovascular Imaging
- Medical Software Development
- Hemodynamics
Background:
- Thrombolysis in Myocardial Infarction (TIMI) frame count assesses coronary flow but not coronary flow velocity (CFV).
- CFV is crucial for evaluating microvascular function, a key aspect of cardiovascular health.
- Existing methods for CFV measurement are limited, necessitating improved techniques.
Purpose of the Study:
- To introduce and validate a semi-automated software for rapid CFV computation using contrast bolus tracking in angiography.
- To compare the software's performance in CFV measurement against expert cardiologists.
- To assess the reproducibility and accuracy of the software-based CFV estimations.
Main Methods:
- Development of a semi-automated software utilizing contrast bolus tracking in coronary angiography for CFV calculation.
- Inclusion of 123 patients (152 vessels) undergoing coronary angiography.
- Comparative analysis of software-derived CFV measurements against those obtained by two expert cardiologists, with repeated measurements across varying segment lengths and projections.
Main Results:
- The software demonstrated excellent reproducibility in CFV measurement (ICC=.995), surpassing expert reproducibility (ICC=.946).
- Software estimations remained consistent across different segment lengths (ICC=.992), unlike experts who overestimated CFV in shorter segments.
- Moderate agreement was observed between software and expert measurements across different projections (ICC=.790-.807), and between experts (ICC=.885).
Conclusions:
- The developed semi-automated software provides highly reproducible coronary flow velocity estimations.
- The software's performance is comparable and in some aspects superior to expert assessments, particularly regarding segment length variability.
- Further validation against gold-standard wire-based functional techniques is recommended to confirm its utility in assessing microvascular function.
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