Vessel Reactivity Modeling for Dynamic Cardiovascular Disease Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current treatments for coronary artery disease often lack accuracy in assessing disease severity, leading to inappropriate or excessive interventions, as they primarily focus on intraluminal factors while neglecting the dynamic nature of vessel size changes in response to physiological states.
Innovation Solution
A method and system that utilize patient-specific vascular models to determine vessel size at different physiological states, comparing these sizes to estimate vessel reactivity and characteristics, thereby improving the assessment of disease severity and guiding treatment selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current treatment assessment methods focusing on intraluminal factors are used, then treatment protocols can be established, but the accuracy of disease severity assessment deteriorates due to neglecting dynamic vessel size changes
Solution Approach 1:
The patent applies dynamics by transitioning from static vessel size measurements to dynamic assessments that capture vessel size changes across multiple physiological states. The system models vessel size at different physiological conditions (e.g., rest, exercise, stress) to assess reactivity, providing a dynamic view of vascular health that improves disease severity assessment accuracy.
Solution Approach 2:
The patent changes the assessment parameters from fixed intraluminal factors to dynamic vessel size parameters that vary with physiological state. By measuring vessel size at different physiological conditions and comparing these changes, the system captures reactivity information that was previously unmeasured, thereby improving assessment accuracy without requiring overly complex equipment.
2Measurement precision
If invasive assessments are used to evaluate treatment options, then treatment accuracy improves, but patient comfort and procedural risk worsen
Solution Approach 1:
The patent replaces invasive mechanical assessment methods with a computational modeling approach. Instead of requiring invasive procedures to evaluate vessel reactivity and guide treatment decisions, the system uses patient-specific vascular models processed with computational algorithms to simulate vessel behavior under different physiological states, thereby maintaining treatment evaluation accuracy while eliminating procedural risks.
Solution Approach 2:
The patent creates a virtual copy or digital twin of the patient's vascular system through computational modeling. This virtual model replicates the patient's anatomy and physiology, allowing repeated non-invasive simulations of vessel reactivity and treatment responses without subjecting the patient to repeated invasive procedures, thus improving accuracy while reducing harm.
3Loss of information
If vessel size changes across physiological states are measured, then reactivity information is obtained, but the complexity of data collection and processing increases
Solution Approach 1:
The patent applies universality by developing a multi-functional vascular model that can assess multiple aspects of vascular health (size, reactivity, disease severity) using a single integrated framework. The same computational model processes data from different physiological states to extract reactivity information, eliminating the need for separate specialized systems for each measurement type and thereby reducing overall system complexity.
Solution Approach 2:
The patent performs preliminary actions by pre-processing and organizing patient data into a structured vascular model before actual reactivity assessment. The system pre-establishes the computational framework and prepares the vascular geometry, allowing subsequent reactivity measurements across different physiological states to be processed efficiently through standardized algorithms, thereby reducing the complexity of data collection and processing during actual assessments.
Data Source
AI summary
Systems and methods are disclosed for using vessel reactivity to guide diagnosis or treatment for cardiovascular disease. One method includes receiving a patient-specific vascular model of a patient's anatomy, including at least one vessel of the patient; determining, by measurement or estimation, a first vessel size at one or more locations of a vessel of the patient-specific vascular model at a first physiological state; determining a second vessel size at the one or more locations of the vessel of the patient-specific vascular model at a second physiological state using a simulation or learned information; comparing the first vessel size to the corresponding second vessel size; and estimating a characteristic of the vessel of the patient-specific vascular model based on the comparison.