Hemodynamic Compromise Prediction via Virtual Implant Deployment

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Solution Overview

Problem

Current pre-operative planning tools for transcatheter structural heart interventions, such as valve implantation and replacement, fail to accurately predict hemodynamic compromise due to limitations in modeling patient-specific anatomy, calcification, and stent frame deformation, leading to complications like regurgitation and coronary obstruction.

Innovation Solution

A method and system for predicting hemodynamic compromise by providing a three-dimensional finite element representation of a cardiac implant, virtually deploying it into a patient-specific anatomical model, and calculating deformation to determine the risk of complications like obstruction and leakage, using computational fluid dynamics and fluid structure interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If current pre-operative planning tools are used for transcatheter valve implantation, then the procedure can be performed with standard tools, but accurate prediction of hemodynamic compromise and complications cannot be achieved

Engineering Contradiction:

Improveprediction accuracy of hemodynamic compromiseVSAvoidcomplexity of planning system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The planning system is segmented into multiple specialized modules: a finite element analysis module for structural deformation, a computational fluid dynamics module for hemodynamic simulation, and an integration module that combines patient-specific anatomy with implant characteristics. Each module handles specific aspects of the prediction, allowing complex analysis through coordinated simpler components.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary virtual deployment of the implant model into the patient-specific anatomical model before actual surgery. This pre-operative simulation calculates deformation and hemodynamic compromise in advance, allowing clinicians to assess risks and adjust the plan before entering the operating room.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If standard planning tools are used, then the system remains simple to operate, but patient-specific anatomy, calcification, and stent frame deformation cannot be accurately modeled

Engineering Contradiction:

Improveaccuracy of complication predictionVSAvoidease of use of planning tool

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system creates a digital copy of the patient's anatomy through image processing of medical imaging data, generating a patient-specific anatomical model that accurately represents the unique geometric characteristics, calcification patterns, and tissue properties. This virtual copy allows realistic simulation without requiring physical models.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The finite element analysis module adjusts material parameters and structural properties based on patient-specific characteristics such as calcification density and tissue elasticity. The system dynamically modifies model parameters to reflect individual patient anatomy, enabling accurate prediction of stent frame deformation and hemodynamic compromise for each specific case.

Inventive Principle:

Principle #35Parameter changes

3Manufacturing precision

If virtual deployment and deformation calculation are performed, then optimal implant size and position can be selected, but computational resources and time are increased

Engineering Contradiction:

Improveprecision of implant sizing and positioningVSAvoidtime for pre-operative planning

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs all necessary virtual deployment simulations and deformation calculations during the pre-operative planning phase, before the actual implantation procedure. By completing these computationally intensive tasks in advance, the system enables precise implant sizing and positioning decisions to be made before entering the operating room, preventing delays during surgery.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces manual trial-and-error implant sizing with automated computational simulations. The finite element analysis and computational fluid dynamics modules automatically calculate deformation and hemodynamic outcomes for different implant configurations, eliminating the need for time-consuming manual adjustments and physical model testing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20220273369A1Method and system for determining a risk of hemodynamic compromise after cardiac intervention

Publication Date: 2022.09.01 FEOPS NV

AI summary

A method and system for predicting a measure of hemodynamic compromise as a result of transcatheter cardiac treatment. The method includes providing a patient-specific anatomical model representing cardiac region and an implant model representing a three-dimensional representation of a cardiac implant. The method includes virtually deploying said implant model into said patient-specific anatomical model. A deformation of the patient-specific anatomical model is calculated as a result of implant model deployment A measure of hemodynamic compromise is determined from the virtually deployed implant model and the deformed patient-specific anatomical model.