Predictive Methods for Thrombus Formation in the Treatment of Aortic Dissection and Cerebral Aneurysms: A...

Area of Science:

• Biomedical Engineering
• Cardiovascular Research
• Medical Physics

Background:

• Thrombus formation is critical in treating vascular diseases like aortic dissection and cerebral aneurysms.
• Complete thrombus occlusion is desired to reduce vascular wall tension and rupture risk.
• Current prediction methods for thrombus formation are essential but require further development.

Purpose of the Study:

• To provide a comprehensive review of conventional methods for predicting thrombus formation.
• To identify challenges and future research directions in thrombus formation prediction.
• To guide researchers in developing improved thrombus formation prediction strategies for clinical applications.

Main Methods:

• Review of published literature on thrombus formation prediction from 2000 to present.
• Classification of predictive methods into hemodynamic evaluation parameters and simulation-based models.
• Analysis of challenges including patient-specific conditions, model validation, and cost-effectiveness.

Main Results:

• Significant increase in research publications on thrombus formation prediction over the past two decades.
• Two main categories of predictive methods identified: hemodynamic parameters and simulation models.
• Key challenges identified: patient-specific predictions, model validation, multi-scale issues, thrombus mechanisms, and cost-effectiveness.

Conclusions:

• Conventional methods for predicting thrombus formation are evolving rapidly.
• Addressing identified challenges is crucial for advancing clinical applications of thrombus prediction.
• Further research is needed to enhance the accuracy, applicability, and cost-effectiveness of thrombus formation prediction models.