3D Radiobiologic Dosimetry for Combined IRT and XRT Therapy
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Solution Overview
Problem
Current cancer treatment methods face challenges in accurately combining external radiation therapy (XRT) with internal radionuclide therapy (IRT) due to difficulties in three-dimensional dose calculations, leading to toxicity and efficacy evaluation issues.
Innovation Solution
A system utilizing a patient-specific three-dimensional radiobiologic dosimetry package (3D-RD) for sequentially combined IRT/XRT therapy, which includes voxelized absorbed dose conversion using the Biological Effect Dose (BED) model, Monte Carlo simulations, and image registration to optimize radioactivity administration and minimize toxicity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If external radiation therapy (XRT) and internal radionuclide therapy (IRT) are combined for cancer treatment, then treatment efficacy is improved, but dose calculation accuracy deteriorates due to complexity of three-dimensional dose calculations
Solution Approach 1:
The patent segments the combined therapy into separate XRT and IRT components, calculating doses independently for each modality. The treatment planning system divides the total dose calculation into distinct XRT dose calculation and IRT dose calculation processes, then combines them. This segmentation allows each component to be calculated with appropriate precision without the complexity of simultaneous calculation.
Solution Approach 2:
The patent introduces an intermediary conversion process using the Biological Effect Dose (BED) model to translate IRT absorbed doses into radiobiologically equivalent XRT doses. This intermediary step enables accurate comparison and combination of doses from different therapeutic modalities by converting them to a common radiobiological framework before summation.
2Ease of operation
If traditional dose calculation methods are used for combined IRT/XRT therapy, then calculation simplicity is maintained, but toxicity to organs at risk increases due to inaccurate dose distribution assessment
Solution Approach 1:
The patent applies local quality by performing voxelized dose calculations that assess dose distribution at each specific location (voxel) within the body. This allows identification of local hot spots in organs at risk that would be missed by traditional whole-organ averaging methods. The system evaluates dose heterogeneity locally to prevent toxicity while maintaining overall treatment simplicity.
3Measurement precision
If three-dimensional voxelized dose calculations are performed for combined therapy, then dose distribution accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing dose kernels for common radionuclides and geometries. These pre-computed kernels are then convolved with the actual activity distribution to obtain patient-specific dose calculations. This preliminary preparation significantly reduces the computational complexity of the actual treatment planning while maintaining high dose distribution accuracy.
4Loss of time
If IRT and XRT are administered simultaneously, then treatment duration is reduced, but dose overlap control becomes difficult leading to increased toxicity
Solution Approach 1:
The patent implements periodic action by administering IRT and XRT in sequential cycles rather than continuous simultaneous treatment. The system allows for periodic imaging assessments between treatment cycles to monitor dose accumulation and adjust subsequent treatment schedules. This periodic approach maintains short overall treatment duration while providing control points to prevent excessive dose overlap and toxicity.
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 accurate three-dimensional dose calculations, reducing toxicity to organs at risk and enhancing the efficacy of combined therapy by converting IRT absorbed doses into radiobiologically equivalent XRT doses, ensuring effective cancer treatment.
Implementation Method 1
Monte Carlo simulations
Implementation Method 2
voxelized absorbed dose conversion using the Biological Effect Dose (BED) model
Data Source
AI summary
A computerized method and system for determining an optimum amount of Internal Radionuclide Therapy (IRT) and External Radiation Therapy (XRT) to administer, comprising: obtaining activity image information for an imaged object from a detector; running a Monte Carlo simulation for the activity image information to obtain absorbed dose-rate image information at multiple times; adding the absorbed dose-rate image information from each time to obtain IRT total absorbed dose image information; and utilizing the IRT total dose image information to obtain total dose image information that is equivalent to XRT dose image information in terms of dose-rate, wherein the IRT dose information is converted to equivalent XRT dose information without having to generate BED dose maps.