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Microdosimetry modeling with Auger emitters in generalized cell geometry
A microdosimetry model was developed for the prediction of cell viability for irregular non-spherical cells that were irradiated by low energy, short range Auger electrons. Measured cell survival rates for LNCaP prostate cancer were compared to the computational results for the radioisotopes 177 Lu...
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Published in: | Physics in medicine & biology 2021-06, Vol.66 (11), p.115023 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A microdosimetry model was developed for the prediction of cell viability for irregular non-spherical cells that were irradiated by low energy, short range Auger electrons. Measured cell survival rates for LNCaP prostate cancer were compared to the computational results for the radioisotopes
177
Lu and
161
Tb (conjugated to PSMA). The cell geometries used for the computations were derived directly from the cell culture images. A general computational approach was developed to handle arbitrary cell geometries, based on distance probability distribution functions (PDFs) derived from basic image processing. The radiation calculations were done per coarse grained PDF bin to reduce computation time, rather than on a pixel/voxel basis. The radiation dose point kernels over the full electron spectrum were derived using Monte Carlo simulations for energies below 50 eV to account for the propagation of Auger electrons over length scales at and below a cellular radius. The relative importance of short range Auger electrons were evaluated between the two nuclide types. The microdosimetry results were consistent with the cell viability measurements, and it was found that
161
Tb was more efficient than
177
Lu primarily due to the short range Auger electrons. We foresee that imaging based microdosimetry can be used to evaluate the relative therapeutic effect between various nuclide candidates. |
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ISSN: | 0031-9155 1361-6560 |
DOI: | 10.1088/1361-6560/ac01f5 |