Biological Equivalent Dose Planning for Normal-Tissue-Sparing FLASH Therapy
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Solution Overview
Problem
Existing FLASH radiation therapy treatments lack consideration of biological effects and patient-specific parameters, leading to suboptimal treatment plans that do not adequately account for normal tissue complications.
Innovation Solution
A control circuit determines a biological equivalent dose for a patient by combining radiation dose deposition information with various biological parameters, enabling optimized FLASH radiation therapy treatment plans that consider dose distributions, dose-rate distributions, and relevant biological data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If FLASH radiation therapy is administered without considering biological parameters, then treatment time is reduced and normal tissue sparing is achieved, but treatment plan optimization is suboptimal and normal tissue complications are not adequately minimized
Solution Approach 1:
The system performs preliminary calculations of biological equivalent dose before treatment delivery. The control circuit computes BED values based on dose deposition information and biological parameters in advance, allowing treatment planning to be optimized beforehand while maintaining the rapid FLASH delivery during actual treatment execution.
Solution Approach 2:
The system incorporates feedback by using calculated biological equivalent dose information to refine and optimize treatment plans. The control circuit uses BED calculations to adjust treatment parameters, creating a feedback loop that improves treatment plan quality while maintaining FLASH delivery characteristics.
2Manufacturing precision
If biological parameters are integrated into FLASH treatment planning, then treatment plan precision is improved and normal tissue complications are minimized, but computational complexity and processing requirements increase
Solution Approach 1:
The system replaces complex iterative optimization mechanisms with direct BED calculations. Instead of using traditional complex optimization algorithms that require extensive computational resources, the control circuit directly computes biological equivalent dose from dose deposition and biological parameters, simplifying the computational process while maintaining precision.
Solution Approach 2:
The system changes the approach from optimizing multiple physical parameters separately to calculating a unified biological equivalent dose parameter. This parameter transformation consolidates complex multi-parameter optimization into a single BED calculation framework, reducing computational complexity while improving treatment plan precision.
3Object-affected harmful factors
If biological equivalent dose calculations are performed, then normal tissue complication probability is reduced, but additional computational steps and processing time are required
Solution Approach 1:
The system performs BED calculations as a preliminary step before treatment delivery. By computing biological equivalent dose and assessing normal tissue complication probability in advance, the system can optimize treatment parameters beforehand, reducing the need for time-consuming adjustments during actual treatment while minimizing normal tissue complications.
Data Source
AI summary
A control circuit accesses information representing radiation dose deposition as a function of time for a particular patient as well as at least one biological parameter for that particular patient. The control circuit then determines a biological equivalent dose for the particular patient as a function of both the information representing radiation dose deposition as a function of time and the at least one biological parameter to provide a determined biological equivalent dose for the particular patient.