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Title: Discrete beta dose kernel matrices for nuclides applied in targeted radionuclide therapy (TRT) calculated with MCNP5

Abstract

Purpose: Radiopharmaceuticals administered in targeted radionuclide therapy (TRT) rely to a great extent not only on beta-emitting nuclides but also on emitters of monoenergetic electrons. Recent advances like combined PET/CT devices, the consequential coregistration of both data, the concept of using beta couples for diagnosis and therapy, respectively, as well as the development of voxel models offer a great potential for developing TRT dose calculation systems similar to those available for external beam treatment planning. The deterministic algorithms in question for this task are based on the convolution of three-dimensional matrices, one representing the activity distribution and the other the dose point kernel. This study aims to report on three-dimensional kernel matrices for various nuclides used in TRT. Methods: The Monte Carlo code MCNP5 was used to calculate discrete dose kernels of beta particles including the contributions from their respective secondary radiation in soft tissue for the following nuclides: {sup 32}P, {sup 33}P, {sup 67}Cu, {sup 89}Sr, {sup 90}Y, {sup 103}Rh{sup m}, {sup 131}I, {sup 177}Lu, {sup 186}Re, and {sup 188}Re. For each nuclide a kernel cube of 10x10x10 mm{sup 3} was calculated, the dimensions of a voxel being 1 mm{sup 3}. Additional kernels with voxel sizes of 3x3x3 mm{supmore » 3} were simulated. Results: Comparison with the S-value data regarding {sup 32}P, {sup 89}Sr, {sup 90}Y, and {sup 131}I of the MIRD committee which were calculated with the EGS4 code showed a very good agreement, the secondary particle transport of {sup 90}Y being the only exception. Documented analytical kernels on the other side show deviations very close and very far to the source. Conclusions: The good accordance with the only discrete dose kernels published up to date justifies the method chosen. Together with the additional six nuclides, this report provides a considerable database for three-dimensional kernel matrices with regard to beta radionuclides applied in TRT. In contrast to analytical dose point kernels, the discrete kernels elude the problem of overestimation near the source and take energy depositions into account, which occur beyond the range of the continuous-slowing-down approximation (csda range). Recalculation of the 1x1x1 mm{sup 3} kernels to other dose kernels with varying voxel dimensions, cubic or noncubic, is shown to be easily manageable and thereby provides a resolution-independent system of dose calculation.« less

Authors:
; ;  [1]
  1. Institute of Analysis and Scientific Computing, Vienna University of Technology, Karlsplatz 13, 1040 Vienna, Austria and Department of Health and Environment, Molecular Medicine, Austrian Research Centers GmbH-ARC, 2444 Seibersdorf (Austria)
Publication Date:
OSTI Identifier:
22102131
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 36; Journal Issue: 11; Other Information: (c) 2009 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; 97 MATHEMATICAL METHODS AND COMPUTING; COMPUTERIZED SIMULATION; COPPER 67; DETERMINISTIC ESTIMATION; IODINE 131; LUTETIUM 177; MONTE CARLO METHOD; PHOSPHORUS 32; PHOSPHORUS 33; POINT KERNELS; POSITRON COMPUTED TOMOGRAPHY; RADIOTHERAPY; RHENIUM 186; RHENIUM 188; STRONTIUM 89; THREE-DIMENSIONAL CALCULATIONS; YTTRIUM 90

Citation Formats

Reiner, Dora, Blaickner, Matthias, Rattay, Frank, Department of Health and Environment, Molecular Medicine, Austrian Research Centers GmbH-ARC, 2444 Seibersdorf, and Institute of Analysis and Scientific Computing, Vienna University of Technology, Karlsplatz 13, 1040 Vienna. Discrete beta dose kernel matrices for nuclides applied in targeted radionuclide therapy (TRT) calculated with MCNP5. United States: N. p., 2009. Web. doi:10.1118/1.3231995.
Reiner, Dora, Blaickner, Matthias, Rattay, Frank, Department of Health and Environment, Molecular Medicine, Austrian Research Centers GmbH-ARC, 2444 Seibersdorf, & Institute of Analysis and Scientific Computing, Vienna University of Technology, Karlsplatz 13, 1040 Vienna. Discrete beta dose kernel matrices for nuclides applied in targeted radionuclide therapy (TRT) calculated with MCNP5. United States. https://doi.org/10.1118/1.3231995
Reiner, Dora, Blaickner, Matthias, Rattay, Frank, Department of Health and Environment, Molecular Medicine, Austrian Research Centers GmbH-ARC, 2444 Seibersdorf, and Institute of Analysis and Scientific Computing, Vienna University of Technology, Karlsplatz 13, 1040 Vienna. 2009. "Discrete beta dose kernel matrices for nuclides applied in targeted radionuclide therapy (TRT) calculated with MCNP5". United States. https://doi.org/10.1118/1.3231995.
@article{osti_22102131,
title = {Discrete beta dose kernel matrices for nuclides applied in targeted radionuclide therapy (TRT) calculated with MCNP5},
author = {Reiner, Dora and Blaickner, Matthias and Rattay, Frank and Department of Health and Environment, Molecular Medicine, Austrian Research Centers GmbH-ARC, 2444 Seibersdorf and Institute of Analysis and Scientific Computing, Vienna University of Technology, Karlsplatz 13, 1040 Vienna},
abstractNote = {Purpose: Radiopharmaceuticals administered in targeted radionuclide therapy (TRT) rely to a great extent not only on beta-emitting nuclides but also on emitters of monoenergetic electrons. Recent advances like combined PET/CT devices, the consequential coregistration of both data, the concept of using beta couples for diagnosis and therapy, respectively, as well as the development of voxel models offer a great potential for developing TRT dose calculation systems similar to those available for external beam treatment planning. The deterministic algorithms in question for this task are based on the convolution of three-dimensional matrices, one representing the activity distribution and the other the dose point kernel. This study aims to report on three-dimensional kernel matrices for various nuclides used in TRT. Methods: The Monte Carlo code MCNP5 was used to calculate discrete dose kernels of beta particles including the contributions from their respective secondary radiation in soft tissue for the following nuclides: {sup 32}P, {sup 33}P, {sup 67}Cu, {sup 89}Sr, {sup 90}Y, {sup 103}Rh{sup m}, {sup 131}I, {sup 177}Lu, {sup 186}Re, and {sup 188}Re. For each nuclide a kernel cube of 10x10x10 mm{sup 3} was calculated, the dimensions of a voxel being 1 mm{sup 3}. Additional kernels with voxel sizes of 3x3x3 mm{sup 3} were simulated. Results: Comparison with the S-value data regarding {sup 32}P, {sup 89}Sr, {sup 90}Y, and {sup 131}I of the MIRD committee which were calculated with the EGS4 code showed a very good agreement, the secondary particle transport of {sup 90}Y being the only exception. Documented analytical kernels on the other side show deviations very close and very far to the source. Conclusions: The good accordance with the only discrete dose kernels published up to date justifies the method chosen. Together with the additional six nuclides, this report provides a considerable database for three-dimensional kernel matrices with regard to beta radionuclides applied in TRT. In contrast to analytical dose point kernels, the discrete kernels elude the problem of overestimation near the source and take energy depositions into account, which occur beyond the range of the continuous-slowing-down approximation (csda range). Recalculation of the 1x1x1 mm{sup 3} kernels to other dose kernels with varying voxel dimensions, cubic or noncubic, is shown to be easily manageable and thereby provides a resolution-independent system of dose calculation.},
doi = {10.1118/1.3231995},
url = {https://www.osti.gov/biblio/22102131}, journal = {Medical Physics},
issn = {0094-2405},
number = 11,
volume = 36,
place = {United States},
year = {Sun Nov 15 00:00:00 EST 2009},
month = {Sun Nov 15 00:00:00 EST 2009}
}