Patient-Specific Blood Flow Model for Non-Invasive FFR Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current diagnostic methods for coronary artery disease, such as CCTA and CCA, cannot predict the functional impact of coronary lesions on blood flow or the outcomes of medical interventions, leaving a need for a method to assess blood flow characteristics and predict treatment outcomes.
Innovation Solution
A system and method using patient-specific three-dimensional models of blood flow, allowing users to interact with a touchscreen interface to visualize and modify anatomical structures, calculate blood flow characteristics like FFR and pressure gradient, and simulate the effects of interventions like stent placement, based on patient-specific data and physiological laws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noninvasive tests (CCTA, CCA) are used to obtain anatomic data on coronary lesions, then patient safety is improved and diagnostic information is obtained, but functional significance of lesions and treatment outcomes cannot be predicted
Solution Approach 1:
The patent creates a virtual three-dimensional computational model that copies the patient's coronary anatomy from noninvasive imaging data (CCTA or CCA). This virtual model allows functional assessment and treatment outcome prediction without requiring invasive procedures, thereby obtaining functional information while avoiding the risks of invasive testing.
Solution Approach 2:
The patent introduces a computational fluid dynamics model as an intermediary between noninvasive anatomic imaging and functional assessment. This intermediary processing layer transforms anatomical images into functional blood flow data, enabling prediction of lesion significance and treatment outcomes without direct invasive measurement.
2Measurement precision
If invasive diagnostic cardiac catheterization is performed to obtain detailed anatomic data, then measurement precision is improved, but patient risk and procedure complexity increase
Solution Approach 1:
The patent creates a virtual three-dimensional computational model that copies the patient's coronary anatomy from noninvasive imaging data (CCTA or CCA). This virtual model allows functional assessment and treatment outcome prediction without requiring invasive procedures, thereby obtaining functional information while avoiding the risks of invasive testing.
3Ease of operation
If traditional diagnostic tests are used to assess coronary lesions, then ease of operation is maintained, but ability to predict treatment outcomes is lost
Solution Approach 1:
The patent creates a multi-functional system that performs multiple tasks: it visualizes coronary anatomy, assesses functional significance of lesions, and predicts outcomes of various treatment options (medical therapy, percutaneous intervention, surgical intervention). This universal platform provides comprehensive decision-making support while maintaining ease of use through standardized workflows.
Data Source
AI summary
Embodiments include a system for providing blood flow information for a patient. The system may include at least one computer system including a touchscreen. The at least one computer system may be configured to display, on the touchscreen, a three-dimensional model representing at least a portion of an anatomical structure of the patient based on patient-specific data. The at least one computer system may also be configured to receive a first input relating to a first location on the touchscreen indicated by at least one pointing object controlled by a user, and the first location on the touchscreen may indicate a first location on the displayed three-dimensional model. The at least one computer system may be further configured to display first information on the touchscreen, and the first information may indicate a blood flow characteristic at the first location.