Preoperative Planning for Multimodal Tumor Ablation
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Solution Overview
Problem
Current minimally invasive tumor ablation surgeries face challenges in accurately calculating and achieving uniform thermal dose and heat transfer due to tumor tissue heterogeneity, leading to inconsistent treatment outcomes.
Innovation Solution
A preoperative planning method and apparatus for multimodal ablation treatment, which involves acquiring parameters of the target tissue volume, calculating freezing and heating dosages to achieve specific property changes, and outputting planning data for needle insertion schemes and temperature distribution, ensuring uniform heat conduction and in-situ disruption of cells and microvessels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If doctors rely on imaging methods and experience to plan ablation treatment, then the treatment process is simple and quick to plan, but the thermal dose calculation is not objective and accurate, leading to inconsistent treatment outcomes
Solution Approach 1:
The system performs preoperative thermal dose calculation and treatment planning before the actual ablation procedure. By calculating the expected thermal distribution and dose in advance using numerical simulation, the system allows doctors to evaluate and adjust the treatment plan before execution, ensuring objective and accurate thermal dose assessment without adding significant complexity to the surgical process.
2Manufacturing precision
If conventional single-mode ablation is used, then the treatment procedure is simple, but the thermal dose distribution is uneven due to tissue heterogeneity
Solution Approach 1:
The system combines multiple ablation modes (radiofrequency heating, microwave heating, and cryotherapy) into a unified treatment approach. By integrating these different thermal treatment methods and coordinating their application through comprehensive thermal simulation, the system achieves more uniform thermal dose distribution in heterogeneous tumor tissues compared to single-mode ablation, while managing the complexity through integrated planning software.
Solution Approach 2:
The system dynamically adjusts treatment parameters (power, duration, needle positions) based on numerical thermal simulation results. By changing these parameters iteratively during planning to optimize thermal dose distribution, the system achieves more uniform heating or cooling effects throughout the tumor volume, addressing the uneven thermal distribution problem caused by tissue heterogeneity.
3Productivity
If pre-freezing is performed to achieve uniform heat conduction, then the subsequent heating efficiency is improved, but the total treatment time increases
Solution Approach 1:
The system performs pre-freezing as a preliminary step before the main heating phase. By calculating the optimal freezing duration and parameters in advance through thermal simulation, the system prepares the tissue to achieve more uniform subsequent heating, thereby improving overall heating efficiency while minimizing the time added to the total treatment procedure.
Solution Approach 2:
The treatment protocol alternates between freezing and heating phases in a periodic manner. This periodic application of opposite thermal treatments allows the system to achieve both uniform thermal distribution (through freezing) and effective tumor ablation (through heating), optimizing the balance between treatment efficiency and total time required.
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 objective, scientific, and quantitative planning for local ablation, improving the safety and effectiveness of tumor treatment by accurately calculating thermal doses and controlling heating ranges, thereby enhancing treatment precision.
Implementation Method 1
calculating freezing dosage for acquired property changes of the tissue caused by performing pre-freezing according to both freezing induced mechanical and thermal effect on the biological tissue
Implementation Method 2
radio frequency heating through a needle probe
Implementation Method 3
the second predetermined condition comprises in-situ disruption of cells and/or microvessels within the boundary of the volume to be ablated
Data Source
AI summary
The present application relates to computer-based preoperative planning technology, and discloses a preoperative planning method for multimodal ablation treatment and apparatus thereof, which can automatically provide objective, scientific, and quantitative multimodal ablation planning information. In this method, acquiring parameters of an volume to be ablated; calculating property changes of the tissue caused by performing freezing on the volume according to the parameters of the volume to be ablated, and acquiring a first planning data required for the property changes of the tissue to satisfy a first predetermined condition; further calculating property changes of the tissue caused by performing heating on the volume to acquire a second planning data required for the property changes of the tissue to satisfy a second predetermined condition based on the properties satisfying the first predetermined condition; outputting the first planning data and the second planning data.