Energy Source Apparatus for Dynamic Tissue Volume Control
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Solution Overview
Problem
Existing energy source apparatuses for treatment tools with bipolar electrodes and heaters face challenges in controlling lateral thermal spread during tissue treatment, as they struggle to manage heat distribution effectively based on the tissue's state and volume.
Innovation Solution
An energy source apparatus with a processor that detects tissue volume-related parameters, such as impedance, to control high-frequency and heater outputs, increasing heater output and temperature for smaller tissue volumes to prevent lateral thermal spread and ensure effective sealing or coagulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the heater output is increased to ensure effective sealing or coagulation of smaller tissue volumes, then the treatment efficacy is improved, but the risk of lateral thermal spread increases
Solution Approach 1:
The system dynamically adjusts heater output based on real-time detection of tissue volume and impedance characteristics. The processor continuously monitors tissue parameters and modulates the heater power accordingly, transitioning from static to dynamic control to optimize treatment efficacy while preventing lateral thermal spread.
Solution Approach 2:
The system employs feedback control by detecting tissue volume-related parameters (impedance, output to bipolar electrodes) and using this information to adjust heater output. The processor receives feedback from tissue characterization and modifies heating parameters in real-time to achieve precise control over thermal distribution.
2Object-affected harmful factors
If the heater output is decreased to prevent lateral thermal spread, then the safety is improved, but the treatment efficacy for smaller tissue volumes deteriorates
Solution Approach 1:
The system changes operational parameters (heater output, temperature, duration) based on detected tissue volume characteristics. For smaller tissue volumes, the processor increases heater output and temperature; for larger volumes, it decreases output. This parameter adaptation resolves the contradiction by matching heating intensity to tissue size requirements.
Solution Approach 2:
The system applies different heating intensities to different tissue volume categories. Instead of using a uniform heater output for all tissue sizes, the processor tailors the heating parameters locally according to the detected tissue volume, ensuring optimal treatment efficacy for each specific case while preventing excessive lateral thermal spread.
3Manufacturing precision
If the processor dynamically adjusts heater output based on detected tissue parameters, then the precision of treatment modification is improved, but the device complexity increases
Solution Approach 1:
The system performs self-characterization by automatically detecting tissue volume-related parameters (impedance, output to bipolar electrodes) and using this self-acquired information to control the heater output. The processor independently determines appropriate heating parameters without requiring external intervention or complex pre-programming for each tissue type.
Solution Approach 2:
The detected tissue parameters serve multiple functions: they characterize tissue volume, guide heater output adjustment, and enable precise control of treatment modification. This multi-functionality of the parameter detection system reduces the need for separate specialized sensors or control mechanisms, thereby managing device complexity while maintaining precision.
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 solution effectively prevents lateral thermal spread and ensures precise modification of the treatment target by dynamically adjusting energy outputs based on tissue volume, enhancing treatment efficacy and safety.
Implementation Method 1
outputs high-frequency electric power to the bipolar electrodes so as to cause a high-frequency current to flow through a treatment target between the bipolar electrodes
Implementation Method 2
outputs heater electric power to the heater so as to cause the heater to generate heat
Data Source
AI summary
A treatment system includes a treatment tool and an energy source apparatus. The treatment tool includes a heater and bipolar electrodes to grip a treatment target. The energy source apparatus supplies electrical energy to the treatment tool. A processor controls the output to the bipolar electrodes and the heater. The processor causes a high-frequency electric power to be output to the bipolar electrodes and detects a parameter that varies depending on tissue volume of the treatment target. The processor sets a target value related to an output control process for controlling the output to the heater. The processor controls the output to the heater so as to modify the treatment target with the heat of the heater. The processor increases the output and temperature to the heater until at least a predetermined point of time after starting the output control process for controlling the output to the heater.