Computational Hemodynamic Model for Non-Invasive Coronary Diagnosis
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Solution Overview
Problem
Current methods for assessing coronary insufficiency and coronary heart disease are complex, invasive, and lack accuracy, especially in the resting state, which hinders reliable diagnosis and treatment.
Innovation Solution
A computer-implemented method that models a patient's individual response to Adenosine receptor agonist stimulation using a pharmacokinetic/pharmacodynamic model, allowing for the estimation of hemodynamic parameters in the hyperemic state, thereby facilitating non-invasive diagnosis and treatment of coronary insufficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If invasive procedures are used to assess coronary insufficiency, then diagnostic reliability is improved, but patient risk and procedure complexity increase
Solution Approach 1:
The patent replaces invasive mechanical measurement systems (pressure wires, catheters) with a non-invasive computational model that uses readily available clinical data (blood pressure, heart rate) to estimate hemodynamic parameters. This substitution eliminates the harmful effects of invasive procedures while maintaining diagnostic reliability through mathematical modeling of coronary circulation.
Solution Approach 2:
The patent introduces a computational model as an intermediary between clinical measurements and diagnostic conclusions. This model processes standard hemodynamic parameters to derive coronary flow reserve and fractional flow reserve estimates without requiring direct coronary access, thus mediating between non-invasive measurements and reliable coronary assessment.
2Measurement precision
If invasive procedures are used to assess coronary insufficiency, then diagnostic accuracy is improved, but device complexity and invasiveness increase
Solution Approach 1:
The patent extracts the essential diagnostic information (coronary flow reserve, fractional flow reserve) from complex invasive procedures by creating a simplified computational model. This model takes out only the necessary hemodynamic parameters (blood pressure, heart rate) that can be measured non-invasively and uses them to calculate diagnostic metrics, eliminating the need for complex catheter-based measurement systems.
Solution Approach 2:
The patent creates a computational copy of the invasive measurement process. Instead of physically accessing coronary arteries with pressure wires, the model mathematically replicates the hemodynamic relationships that would be observed in invasive measurements, providing accurate diagnostic information through simulation rather than direct measurement.
3Object-affected harmful factors
If resting state assessment is used, then patient safety is improved, but diagnostic accuracy deteriorates
Solution Approach 1:
The patent performs preliminary computational processing of resting state hemodynamic data to predict hyperemic flow conditions. By calculating coronary flow reserve (ratio of hyperemic to resting flow) and using this to estimate fractional flow reserve, the model derives diagnostic information that normally requires stress conditions, but obtains it safely from resting measurements through mathematical transformation.
Solution Approach 2:
The patent transforms resting state hemodynamic parameters into estimates of hyperemic state parameters through computational modeling. By changing the parameter representation from direct resting measurements to modeled hyperemic equivalents (using coronary flow reserve as a transformation factor), the system maintains patient safety while achieving diagnostic accuracy comparable to stress testing.
Data Source
AI summary
A method, a computer-readable medium and a system for assessment of a hemodynamic response to an Adenosine receptor agonist stimulation for a human patient are disclosed. Starting point for the method are non-invasive pressure data in the resting state. Said data are used in pharmacokinetic/pharmacodynamic modeling to arrive at an individual patient-specific response for an adenosine receptor stimulation by an agonist. This response is used to a calibrate lumped-parameter Windkessel type model of a blood circulation. The calibrated model allows for calculating of hemodynamic parameters for the hyperemic state, in particular to calculate flow and pressure values in both coronary arteries inlets. The hemodynamic parameters allow for in silico coronary vessel diagnostic. The effectiveness of the developed method has been confirmed in multi-center clinical trials.