Ablation Zone Display With Confidence Margins for Tumor Coverage
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Solution Overview
Problem
Existing ablation procedures lack precise temperature control and visualization of ablation zones, leading to unpredictable temperature distribution and potential damage to healthy tissues during tumor treatment.
Innovation Solution
A system and method for displaying real-time ablation growth projections using an ablation model applied to patient image data, with adjustable parameters and confidence margins, enabling precise ablation zone visualization and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electromagnetic radiation is applied to heat and ablate tumor cells, then malignant tissue destruction is achieved, but temperature control precision deteriorates leading to potential damage to healthy cells
Solution Approach 1:
The system performs preliminary actions by projecting the ablation zone onto image data before actual ablation occurs. The ablation model calculates and displays the predicted ablation zone based on probe position and ablation parameters, allowing operators to plan and optimize the ablation path in advance to ensure complete tumor coverage while avoiding healthy tissues.
Solution Approach 2:
The system implements feedback by continuously updating the projected ablation zone visualization based on real-time probe position and parameters. The margin showing confidence level provides feedback on prediction reliability, allowing operators to adjust ablation parameters to achieve optimal temperature control and tissue protection.
2Reliability
If ablation parameters are increased to ensure complete tumor eradication, then tumor cell destruction is improved, but damage to surrounding healthy tissue increases
Solution Approach 1:
The system allows operators to project and evaluate the ablation zone before actual treatment. By visualizing the predicted ablation zone and its margin of confidence on image data, operators can adjust ablation parameters in advance to ensure complete tumor coverage while minimizing overlap with healthy tissues, thereby preventing unnecessary damage before it occurs.
Solution Approach 2:
The system applies local quality by providing spatially varying information through the projected ablation zone visualization. The margin showing confidence level varies across different regions, allowing operators to optimize ablation parameters locally - applying higher energy where tumor coverage is uncertain and lower energy where healthy tissue proximity is a concern.
3Manufacturing precision
If real-time ablation zone visualization is implemented, then temperature distribution predictability is improved, but system complexity increases
Solution Approach 1:
The system creates a visual copy of the predicted ablation zone by projecting it onto existing image data. Rather than requiring complex real-time temperature measurement hardware, the system generates a computational model visualization that replicates the expected thermal distribution, providing predictability through software-based modeling and display integration.
Solution Approach 2:
The system achieves multi-functionality by integrating multiple capabilities into a unified platform: ablation modeling, image data processing, real-time projection visualization, and parameter optimization. This universal system performs temperature prediction, treatment planning, and intraoperative guidance functions through a single integrated architecture, managing complexity through consolidation rather than multiplication of components.
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 real-time visualization and adjustment of ablation zones with confidence intervals, ensuring accurate tumor eradication while minimizing damage to surrounding healthy tissues.
Implementation Method 1
electromagnetic energy is passed through the probes into surrounding tissue
Implementation Method 2
heat and destroy tumor cells
Implementation Method 3
displaying, on a display coupled to the processor, a projected ablation zone on the image data
Data Source
AI summary
A method for displaying real-time ablation growth projections is provided. The method includes applying, by a processor, an ablation model to image data of a patient. The ablation model is based on a position of an ablation probe, and the ablation probe is coupled to the processor. The method also includes displaying, on a display coupled to the processor, a projected ablation zone on the image data. The projected ablation zone is based on ablation parameters and the position of the ablation probe. The projected ablation zone includes a margin showing a confidence level. The method further includes ablating by the ablation probe. The ablating is based on an evaluation of the projected ablation zone with respect to a target. A system for performing a microwave ablation procedure is provided. A non-transitory computer-readable storage medium storing instructions is provided.


