Intravascular Pressure Sensor Co-Registration for PCI Planning
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Solution Overview
Problem
Current methods for assessing and treating blood vessel blockages, such as stenosis, face challenges in integrating angiography and physiologic data for effective PCI planning, making it difficult to predict the efficacy of stent placement and positioning.
Innovation Solution
A system and method that utilize intravascular pressure-sensing instruments to receive pressure measurements and angiography data, allowing clinicians to input desired pressure values and visualize treatment options, including stent deployment location and parameters, to plan and evaluate therapeutic interventions based on collected data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If clinicians rely on conventional angiography and physiologic measurements separately, then the available data can be collected, but the data sources are not meaningfully connected and it is difficult to integrate them for therapeutic planning
Solution Approach 1:
The system merges angiographic imaging data with intravascular pressure measurements by co-registering the data sources. The angiographic images provide anatomical visualization while pressure sensors provide physiologic functional data. By combining these complementary data types through spatial and temporal co-registration, the system achieves meaningful integration that enables comprehensive treatment planning without requiring separate analysis of each data source.
Solution Approach 2:
The system introduces an intermediary processing layer that includes a processor and display device. This intermediary integrates the raw angiographic and pressure data by establishing spatial relationships between imaging coordinates and pressure measurement locations. The intermediary transforms separate data streams into a unified representation that clinicians can interpret together, reducing the complexity of direct integration while maintaining comprehensive information.
2Reliability
If clinicians plan PCI interventions based on separate angiography and pressure data, then treatment options can be considered, but the efficacy of stent placement cannot be predicted with clinical certainty
Solution Approach 1:
The system provides feedback by displaying co-registered angiographic images and pressure measurements together, allowing clinicians to immediately see the relationship between anatomical structure and physiologic function. This feedback loop enables real-time assessment of whether a proposed stent placement will achieve the desired pressure ratio improvement, transforming treatment planning from guesswork to data-driven prediction with clinical certainty.
Solution Approach 2:
The system performs preliminary data integration and visualization before the actual PCI intervention. By pre-co-registering angiographic and pressure data and displaying treatment options with predicted outcomes, the system prepares comprehensive treatment planning information in advance. This preliminary action allows clinicians to select stent parameters and positioning with confidence based on integrated data rather than separate data sources, improving prediction accuracy before the procedure begins.
3Reliability
If multiple stent parameters such as positioning and length are adjusted to optimize treatment, then treatment efficacy may improve, but the difficulty in integrating data sources increases
Solution Approach 1:
The system dynamically updates the co-registered visualization as stent parameters are adjusted. When clinicians modify stent positioning or length, the system recalculates and displays the updated pressure ratio predictions and anatomical relationships in real-time. This dynamic interaction allows multiple parameters to be optimized simultaneously while maintaining integrated data context, reducing the cognitive load of tracking separate data sources through interactive visualization rather than static integration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more efficient planning and evaluation of PCI by providing visual representations of treatment options, improving the accuracy of stent placement and ensuring desired pressure ratios are achieved, thereby enhancing treatment efficacy.
Implementation Method 1
A currently accepted technique for assessing the severity of a stenosis in the blood vessel, including ischemia causing lesions, is fractional flow reserve (FFR). FFR is a calculation of the ratio of a distal pressure measurement (taken on the distal side of the stenosis) relative to a proximal pressure measurement (taken on the proximal side of the stenosis).
Data Source
AI summary
The present disclosure relates generally to the assessment and treatment of vessels, including for percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG). For example, some embodiments of the present disclosure are suited for identifying the available intervention technique(s) suitable to achieve a desired outcome selected or input by a user. For example, in some implementations a method comprises receiving pressure measurements obtained by one or more intravascular pressure-sensing instruments positioned within a vessel of a patient; receiving an input from a user regarding a desired pressure value for the vessel of the patient; identifying an available treatment option based on the received pressure measurements and the desired pressure value; and outputting, to a display device, a screen display including a visual representation of the available treatment option. Related devices and systems are also described.