Adaptive Tissue Compression for Surgical Staplers
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Solution Overview
Problem
Current surgical stapling and cutting instruments face challenges in controlling tissue compression to ensure consistent power application and prevent tissue damage during closure, as existing methods do not effectively adjust closure rates based on real-time tissue pressure measurements.
Innovation Solution
A surgical instrument equipped with sensors to determine tissue pressure and a processor that adjusts the closure rate by executing control measures to maintain an acceptable rate of change in tissue pressure, thereby preventing excessive power application and minimizing tissue damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the closure rate is increased to improve surgical productivity, then the procedure time is reduced, but the tissue pressure changes too rapidly causing power spikes and potential tissue damage
Solution Approach 1:
The system continuously monitors tissue pressure during closure and uses this feedback to dynamically adjust the closure rate. When pressure exceeds a threshold or its rate of change is too high, the system automatically reduces the closure rate to prevent power spikes and tissue damage, while still allowing for efficient closure when conditions permit.
Solution Approach 2:
The closure rate is made dynamic rather than fixed, allowing the system to adapt in real-time based on tissue characteristics and pressure conditions. The controller adjusts the closure rate within a range from a first rate to a second rate, optimizing both surgical efficiency and tissue safety throughout the closure process.
2Object-affected harmful factors
If the closure rate is reduced to prevent tissue damage, then power application remains controlled, but the surgical procedure time increases
Solution Approach 1:
The system applies a more aggressive closure rate (excessive action) when tissue conditions allow, and a more conservative rate when pressure thresholds are approached. This partial application of different closure rates optimizes the balance between speed and safety, using full speed only when safe to do so.
Solution Approach 2:
The system changes the closure rate parameter dynamically based on real-time pressure measurements and their rate of change. By adjusting this key parameter in response to measured conditions, the system achieves both fast closure when possible and tissue protection when necessary.
3Device complexity
If a fixed closure rate is used to simplify control, then device complexity is reduced, but consistent power application cannot be maintained across different tissue types
Solution Approach 1:
The system replaces simple mechanical control with sensor-based measurement and electronic control. Pressure sensors provide real-time data to a controller that adjusts the closure rate, substituting complex mechanical mechanisms with a more compact sensor-electronics-control system that achieves better consistency.
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
The instrument ensures consistent and controlled tissue compression, reducing the risk of tissue damage by dynamically adjusting closure rates based on real-time pressure measurements, enhancing the safety and efficacy of surgical procedures.
Implementation Method 1
one or more sensors adapted to determine tissue pressure
Implementation Method 2
The rate of change of average tissue pressure is determined as a parameter... In response to determining that a measured value of the parameter has exceeded the acceptable value, the second control measure is executed, wherein the second control measure decreases the closure rate
Data Source
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AI summary
A mechanism is disclosed for adapting operations of a surgical instrument based on data from actual, expected or predicted properties of tissue, data from measuring operation of the surgical instrument itself, and data based on clinician conduct. The adaptive measures can be based on predetermined control measures such as algorithms stored in operative communication with the surgical instrument, based on dynamically generated control measures, or a combination of both. Utilizing such mechanisms can help to adjust closure and firing algorithms based on tissue properties, improve battery usage, and learn from user operations, enhancing functioning of the instrument within an operational envelope.