A novel method analyzing blood flow waveforms successfully detected the location and severity of aortic aneurysms in both experimental tube models and a computational human arterial network.
Does the analysis of blood flow waveforms detect the severity and location of aortic aneurysms in experimental and computational models?
A novel methodology combining experimental and computational modeling of blood flow waveforms shows high potential for non-invasive detection and monitoring of aortic aneurysms.
The influence of an aortic aneurysm on blood flow waveforms is well established, but how to exploit this link for diagnostic purposes still remains challenging. This work uses a combination of experimental and computational modelling to study how aneurysms of various size affect the waveforms. Experimental studies are carried out on fusiform-type aneurysm models, and a comparison of results with those from a one-dimensional fluid-structure interaction model shows close agreement. Further mathematical analysis of these results allows the definition of several indicators that characterize the impact of an aneurysm on waveforms. These indicators are then further studied in a computational model of a systemic blood flow network. This demonstrates the methods' ability to detect the location and severity of an aortic aneurysm through the analysis of flow waveforms in clinically accessible locations. Therefore, the proposed methodology shows a high potential for non-invasive aneurysm detectors/monitors.
Sazonov et al. (Mon,) conducted a other in Aortic aneurysms. Waveform analysis vs. Healthy vessel models was evaluated on Detection of aneurysm location and severity (compliance). A novel method analyzing blood flow waveforms successfully detected the location and severity of aortic aneurysms in both experimental tube models and a computational human arterial network.
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