Hemodialysis Access Simulation for Cardiac Workload Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hemodialysis access procedures can increase cardiac workload and risk of congestive heart failure by altering hemodynamics, and existing methods lack effective tools for optimizing vascular access graft locations and types to ensure sufficient blood flow while minimizing thrombosis and cardiac demand.
Innovation Solution
A system and method for simulating and optimizing hemodialysis access by creating patient-specific, three-dimensional anatomic models to compute pre- and post-treatment hemodynamic characteristics, evaluating various vascular access configurations, and using cost functions to determine optimal graft locations and types that minimize cardiac workload and thrombosis risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a vascular access procedure (AVF or AVG) is created to enable hemodialysis, then blood flow for dialysis is sufficient, but cardiac workload increases and risk of congestive heart failure increases
Solution Approach 1:
The system performs pre-treatment hemodynamic simulation and optimization before the actual vascular access procedure. By computing pre-treatment hemodynamic characteristics and simulating post-treatment geometries in advance, the system identifies optimal graft locations and configurations that minimize cardiac workload increases while ensuring sufficient blood flow for dialysis.
Solution Approach 2:
The system creates a computational model that copies the patient's specific three-dimensional anatomic vasculature. This digital twin allows for virtual testing of different vascular access configurations without actual surgical intervention, enabling optimization of graft placement to balance blood flow requirements with cardiac workload constraints.
2Quantity of substance
If a vascular access procedure is created to ensure sufficient blood flow for dialysis, then dialysis effectiveness is improved, but regions prone to thrombosis increase due to altered hemodynamics
Solution Approach 1:
The system performs pre-treatment hemodynamic simulation and optimization before the actual vascular access procedure. By computing pre-treatment hemodynamic characteristics and simulating post-treatment geometries in advance, the system identifies optimal graft locations and configurations that minimize cardiac workload increases while ensuring sufficient blood flow for dialysis.
Solution Approach 2:
The system creates a computational model that copies the patient's specific three-dimensional anatomic vasculature. This digital twin allows for virtual testing of different vascular access configurations without actual surgical intervention, enabling optimization of graft placement to balance blood flow requirements with cardiac workload constraints.
3Reliability
If vascular access graft location and type are optimized to minimize cardiac workload, then cardiac safety is improved, but treatment planning complexity increases
Solution Approach 1:
The system replaces complex manual treatment planning with automated computational hemodynamic simulation. By using numerical methods to solve blood flow equations and automatically evaluate multiple graft configurations, the system simplifies the planning process while providing comprehensive cardiac safety assessment and optimization.
Solution Approach 2:
The system creates a computational model that copies the patient's specific three-dimensional anatomic vasculature. This digital twin allows for virtual testing of different vascular access configurations without actual surgical intervention, enabling optimization of graft placement to balance blood flow requirements with cardiac workload constraints.
4Ease of operation
If traditional vascular access procedures are used without optimization, then treatment simplicity is maintained, but hemodynamic changes increase cardiac demand and thrombosis risk
Solution Approach 1:
The system performs pre-treatment hemodynamic simulation and optimization before the actual vascular access procedure. By computing pre-treatment hemodynamic characteristics and simulating post-treatment geometries in advance, the system identifies optimal graft locations and configurations that minimize cardiac workload increases while ensuring sufficient blood flow for dialysis.
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
Systems and methods are disclosed for simulating or optimizing hemodialysis access. One method includes receiving a patient-specific anatomic model of a patient's vasculature; computing a pre-treatment hemodynamic characteristic of a pre-treatment geometry of a portion of the anatomic model; simulating a post-treatment geometry of a vascular access in the portion of the anatomic model; computing a post-treatment hemodynamic characteristic of the post-treatment geometry of the portion of the anatomic model having the vascular access; and generating a representation of the pre-treatment hemodynamic characteristic or the post-treatment hemodynamic characteristic.