Adaptive Electrosurgical System for Dynamic Tissue Treatment
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Solution Overview
Problem
Existing electrosurgical systems require surgeons to pre-set a static cutting-to-coagulation ratio, which can lead to suboptimal tissue treatment due to variations in tissue vascularity during procedures.
Innovation Solution
An adaptive electrosurgical system that uses sensors to monitor tissue characteristics, such as impedance, and adjusts the cutting-to-coagulation ratio in real-time by altering the duty cycle of electrosurgical signals delivered via the electrode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a static cutting-to-coagulation ratio is pre-set before surgery, then the device complexity is reduced and ease of operation is improved, but the adaptability to different tissue types deteriorates and manufacturing precision of treatment outcome worsens
Solution Approach 1:
The electrosurgical system dynamically adjusts the cutting-to-coagulation ratio during surgery based on real-time tissue feedback from sensors. The controller continuously modifies the duty cycle of electrosurgical signals delivered to the electrode, transitioning from a static pre-set ratio to a dynamic adaptive ratio that responds to changing tissue conditions such as vascularity and impedance.
Solution Approach 2:
The system incorporates sensors that monitor tissue characteristics (impedance, temperature, or other parameters) and feed this information back to the controller. The controller uses this feedback to automatically adjust the cutting-to-coagulation ratio, creating a closed-loop control system that adapts to tissue variations without requiring manual intervention.
2Productivity
If a static cutting-to-coagulation ratio is used throughout the procedure, then the device complexity is reduced, but the productivity deteriorates due to slower cutting speed and need for additional coagulation steps
Solution Approach 1:
The system dynamically adjusts the cutting-to-coagulation ratio during surgery based on real-time tissue feedback from sensors. The controller continuously modifies the duty cycle of electrosurgical signals delivered to the electrode, transitioning from a static pre-set ratio to a dynamic adaptive ratio that responds to changing tissue conditions such as vascularity and impedance.
Solution Approach 2:
The system incorporates sensors that monitor tissue characteristics (impedance, temperature, or other parameters) and feed this information back to the controller. The controller uses this feedback to automatically adjust the cutting-to-coagulation ratio, creating a closed-loop control system that adapts to tissue variations without requiring manual intervention.
3Reliability
If a high coagulation amount is pre-set, then hemostasis is improved in vascular tissue, but thermal damage to lightly vascularized tissue increases and manufacturing precision of tissue treatment worsens
Solution Approach 1:
The system incorporates sensors that monitor tissue characteristics (impedance, temperature, or other parameters) and feed this information back to the controller. The controller uses this feedback to automatically adjust the cutting-to-coagulation ratio, creating a closed-loop control system that adapts to tissue variations without requiring manual intervention.
Solution Approach 2:
The system applies different cutting-to-coagulation ratios to different tissue types based on real-time sensor feedback. Vascularized tissue receives a higher coagulation component for hemostasis, while lightly vascularized tissue receives a lower coagulation component to minimize thermal damage, achieving localized optimization of treatment quality.
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
Enables more precise and efficient tissue treatment by dynamically adjusting the cutting-to-coagulation ratio based on real-time tissue feedback, reducing thermal damage and improving procedural efficiency.
Implementation Method 1
The high frequency alternating current (AC) can be converted to heat by resistance as it passes through tissue. The result of heat buildup within the tissue can be used to cause tissue thermal damage, resulting in effects such as cutting or cautery of tissue.
Implementation Method 2
The application of high frequency AC energy to tissue can heat the tissue through high frequency induced intracellular oscillation of ionized molecules, resulting in temperature elevation in the tissue.
Implementation Method 3
electrodes configured to adjust energy delivery for tissue cutting relative to coagulation in response to at least one input signal that is based at least in part on a target tissue parameter
Data Source
AI summary
An electrosurgical system can include a surgical device configured to adjust energy delivery in accordance with a specified cutting-to-coagulation relationship. The specified cutting-to-coagulation relationship can be determined based at least in part on an impedance or other parameter associated with tissue or an environment at or near the one or more electrodes. The specified cutting-to-coagulation relationship can be determined automatically (e.g., without requiring user input) and adaptively based on the sensing, such as in real-time as the therapy progresses.