Vascular Therapy Apparatus Tissue Compliance Analysis
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Solution Overview
Problem
Current vascular therapy procedures for stent placement rely heavily on limited data and the surgeon's experience, leading to suboptimal stent sizing and potential complications due to varying tissue properties at different treatment sites.
Innovation Solution
A vascular therapy apparatus and method that utilize an electronic processing device to analyze data from an angioplasty procedure, including pressure and volume data from a balloon and imaging data, to determine appropriate stent size and type based on tissue compliance and simulation models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stent sizing is determined based on limited data and surgeon experience, then the procedure is simple and quick, but the accuracy of stent sizing is poor leading to suboptimal outcomes
Solution Approach 1:
The system performs preliminary actions by conducting balloon angioplasty and collecting pressure-volume data before final stent deployment. This preliminary phase allows measurement of tissue compliance and creation of simulation models that inform the subsequent stent sizing decision, thereby improving measurement precision without requiring the stent deployment process itself to be complex
Solution Approach 2:
The patent introduces an intermediary computational simulation model that acts as a mediator between the raw balloon pressure-volume data and the final stent sizing decision. This digital twin model translates limited procedural data into comprehensive tissue property assessments, enabling accurate stent sizing while keeping the actual procedural steps relatively simple
2Measurement precision
If tissue properties are measured in vivo for each case, then the measurement precision is improved, but the time required and procedural complexity increases
Solution Approach 1:
The system extracts only the essential measurements needed for tissue characterization during the balloon angioplasty phase (pressure and volume data). By taking out just these critical parameters rather than performing comprehensive tissue analysis, the system achieves sufficient measurement precision for stent sizing while minimizing the additional time required
Solution Approach 2:
The patent creates a digital copy or twin of the patient's specific tissue properties based on balloon pressure-volume data. This computational model serves as a surrogate for direct in vivo tissue measurement, providing accurate tissue property information without requiring lengthy physical measurement procedures
3Reliability
If comprehensive data analysis is performed to determine treatment information, then the reliability of treatment outcome is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The computational simulation model serves multiple functions: it characterizes tissue compliance, predicts stent expansion behavior, determines optimal stent size, and assesses potential outcomes. This multi-functionality allows comprehensive data analysis to improve treatment reliability without requiring separate complex systems for each analytical task
Solution Approach 2:
The system focuses on determining key parameters (tissue compliance, stent expansion ratio) rather than analyzing all possible variables. By identifying and measuring only the critical parameters that most influence treatment outcomes, the system achieves high reliability while keeping the computational and device complexity manageable
Data Source
AI summary
A vascular therapy apparatus (1) includes an electronic processing device (18) including at least one electronic processor (20) programmed to while an angioplasty procedure is performed on a treatment site in a vessel (V) of a patient, obtain data about the angioplasty procedure; determine treatment information for a subsequent vascular therapy treatment of the treatment site by analyzing the data about the angioplasty procedure; and output the treatment information.