Vessel Stenosis Quantification Through Time-Window Pressure Analysis
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Solution Overview
Problem
Existing methods for quantifying stenosis in vessels, such as coronary arteries, require additional hardware and prolonged adenosine infusions, leading to prolonged procedural times and patient discomfort, and lack sufficient inter-operator and intra-operator reproducibility.
Innovation Solution
A data processing system that calculates a functional outcome index (FOI) based on pressure values measured during a pullback time period, determining a time window and maximum pressure change without precise positional references, using a movable pressure sensor and optionally a stationary sensor, to quantify stenosis, stricture, or lesion in vessels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precise positional information is obtained through motorized pullbacks or medical imaging, then the functional outcome index can be determined with sufficient reproducibility, but additional hardware is required and procedural time is prolonged
Solution Approach 1:
The patent extracts the essential information needed for reproducibility (pressure values and time duration) from the complex system of motorized pullbacks and medical imaging. By focusing only on the critical parameters (pressure measurements over a defined time window) and eliminating the need for precise positional tracking hardware, the solution achieves reproducibility without additional device complexity
Solution Approach 2:
The patent replaces the mechanical/physical systems (motorized pullback mechanisms, medical imaging equipment) with a time-based data processing approach. Instead of using complex hardware to track position, the invention uses temporal analysis of pressure values to achieve the same reproducibility goal through computational methods
2Measurement precision
If precise positional information is obtained through motorized pullbacks or medical imaging, then the functional outcome index can be determined with sufficient reproducibility, but procedural time is prolonged due to prolonged adenosine infusions
Solution Approach 1:
The patent extracts only the essential temporal parameter (time window duration) from the complex procedural requirements. By eliminating the need for prolonged adenosine infusions and complex positioning procedures, the invention reduces procedural time while maintaining reproducibility through focused time-based analysis of pressure data
Solution Approach 2:
The patent skips the time-consuming steps of achieving and maintaining prolonged hyperaemic conditions with adenosine infusions. Instead, it uses a shorter, defined time window approach that captures the necessary pressure data more quickly, thereby reducing overall procedural time while preserving measurement reproducibility
3Reliability
If pressure measurements are obtained during hyperaemic conditions, then more reliable and reproducible pressure measurements are achieved, but the time period and impact of hyperaemic agent increase
Solution Approach 1:
The patent changes the temporal parameter of hyperaemic condition exposure by using a shorter, defined time window (e.g., 5-10 seconds) instead of prolonged hyperaemia. This parameter change maintains the reliability of pressure measurements during the critical measurement period while reducing the total time and impact of hyperaemic agent exposure
Solution Approach 2:
The patent applies partial action by using a limited time window of hyperaemic conditions rather than sustained hyperaemia. This partial approach provides sufficient reliable data during the measurement window without the excessive time commitment and patient discomfort associated with prolonged hyperaemic agent administration
Data Source
AI summary
A data processing system and computer implemented method for quantifying a stenosis in a vessel.There is described a data processing system (30), which receives a dataset (32) comprising a set of pressure values measured during a pullback time period (40), the pullback time period (40) corresponding to the time period during which the set of pressure values were determined from measurements of a movable pressure sensor (22) while moving along a part (12) of a vessel (10). Based on a time window (42) of which the duration corresponds to a fraction of the pullback time period, there is calculated a maximum of the moving time window (42) pressure change (26) based on said dataset (32) of said part (12) of said vessel (10).