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Published on: February 20, 2021
Development and Validation of RAPID: A Patient-Specific Monte Carlo Three-Dimensional Internal Dosimetry Platform
Abigail E Besemer1,2, You Ming Yang1,3, Joseph J Grudzinski1
11 Department of Medical Physics, Wisconsin Institutes for Medical Research, University of Wisconsin , Madison, Wisconsin.
This study introduces RAPID, a patient-specific Monte Carlo platform for accurate internal dosimetry using PET/CT or SPECT/CT imaging. RAPID calculates voxelized 3D dose distributions, proving reliable for various radionuclides in clinical settings.
Area of Science:
- Medical Physics
- Nuclear Medicine
- Computational Biology
Background:
- Accurate internal dosimetry is crucial for effective radiopharmaceutical therapy and radiation safety.
- Patient-specific dosimetry requires advanced computational tools to handle complex 3D dose distributions.
Purpose of the Study:
- To develop and validate RAPID (Radiopharmaceutical Assessment Platform for Internal Dosimetry), a patient-specific Monte Carlo platform for internal dosimetry.
- To assess the accuracy of RAPID's dose calculations against established benchmarks.
Main Methods:
- Utilized serial PET/CT or SPECT/CT images for patient-specific data.
- Employed the Geant4 Monte Carlo code for voxelized 3D internal dose distribution calculations.
- Benchmarked calculations against published S-values and specific absorbed fractions (SAFs) using Zubal and spherical tumor phantoms.
Main Results:
- RAPID's S-values and SAFs in the Zubal phantom were within 5% of published values, with minor deviations for low-energy photons.
- Agreement within 2-9% was achieved for S-values of various radionuclides (e.g., 177Lu, 131I, 68Ga) in spherical tumor phantoms.
- Demonstrated high accuracy across a range of phantom sizes and radionuclide types.
Conclusions:
- RAPID is a validated platform capable of accurate voxel-level internal dosimetry.
- The tool can compute patient-specific 3D dose distributions for diverse radionuclides.
- RAPID shows potential as a valuable tool in personalized nuclear medicine and radiation therapy planning.
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