Simulation-based engineering, utilizing Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA), is essential in modern engineering development cycles, offering versatile solutions across various domains. In biomedical applications, particularly in hemodialysis research, CFD emerges as an essential tool for understanding and optimizing vascular access, such as arteriovenous fistulas (AVF), arteriovenous grafts (AVG), and central venous catheters (CVC). By simulating hemodynamics, CFD enables the prediction of thrombosis, stenosis, and infection risks, guiding personalized treatment planning and improving patient outcomes. This paper presents previous CFD studies in hemodialysis. Structured by the principles of evidence maps, categorize findings based on vascular access, validation methods, computational model complexity, and hemodynamic parameters. The analysis reveals trends in computational models, solvers, publication geography, and outcomes, highlighting advancements and areas for future research. Through interactive visual representations and comprehensive categorizations, this study serves as a valuable resource for researchers and professionals in simulation-based engineering and healthcare, facilitating the development of future research and protocol optimization in hemodialysis processes.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Evidence Map of Computational Simulation Tools for Vascular Accesses in Dialysis Processes

  • Kaue Alves Rosario,
  • Sergio Leandro Stebel,
  • Gustavo Benvenutti Borba

摘要

Simulation-based engineering, utilizing Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA), is essential in modern engineering development cycles, offering versatile solutions across various domains. In biomedical applications, particularly in hemodialysis research, CFD emerges as an essential tool for understanding and optimizing vascular access, such as arteriovenous fistulas (AVF), arteriovenous grafts (AVG), and central venous catheters (CVC). By simulating hemodynamics, CFD enables the prediction of thrombosis, stenosis, and infection risks, guiding personalized treatment planning and improving patient outcomes. This paper presents previous CFD studies in hemodialysis. Structured by the principles of evidence maps, categorize findings based on vascular access, validation methods, computational model complexity, and hemodynamic parameters. The analysis reveals trends in computational models, solvers, publication geography, and outcomes, highlighting advancements and areas for future research. Through interactive visual representations and comprehensive categorizations, this study serves as a valuable resource for researchers and professionals in simulation-based engineering and healthcare, facilitating the development of future research and protocol optimization in hemodialysis processes.