Literature DB >> 30913544

Preclinical voxel-based dosimetry through GATE Monte Carlo simulation using PET/CT imaging of mice.

Arun Gupta1, Min Sun Lee, Joong Hyun Kim, Sohyeon Park, Hyun Soo Park, Sang Eun Kim, Dong Soo Lee, Jae Sung Lee.   

Abstract

Internal dosimetry is of critical importance to obtain an accurate absorbed dose-response relationship during preclinical molecular imaging and targeted radionuclide therapy (TRT). Conventionally, absorbed dose calculations have been performed using organ-level dosimetry based on the Medical Internal Radiation Dose (MIRD) schema. However, recent research has focused on developing more accurate voxel-level calculation methods. Geant4 application for emission tomography (GATE) Monte Carlo (MC) is a simulation toolkit gaining attention in voxel-based dosimetry. In this study, we used PET/CT images of real mice to estimate the absorbed doses in sensitive organs at voxel-level to evaluate the suitability of GATE MC simulation for preclinical dosimetry. Thirteen normal C57BL/6 mice (male, body weight: 27.71  ±  4.25 g) were used to acquire dynamic positron emission tomography/computed tomography (PET/CT) images after IV injection of 18F-FDG. GATE MC toolkit was applied to estimate the absorbed doses in various organs of mice at voxel-level using CT and PET images as voxelized phantom and voxelized source, respectively. In addition, mean absorbed dose at organ-level was calculated using MIRD schema for comparison purposes. The differences in the respective absorbed doses (mGy MBq-1) between GATE MC and MIRD schema for brain, heart wall, liver, lungs, stomach wall, spleen, kidneys, and bladder wall were 1.36, 12.3, -22.4, -11.2, -16.9, -2.87, -4.29, and 3.71%, respectively. Considering that the PET/CT data of real mice were used for GATE simulation, the absorbed doses estimated in this study are mouse-specific. Therefore, the GATE-based Monte Carlo is likely to allow for more accurate internal dosimetry calculations. This method can be used in TRT for personalized dosimetry because it considers patient-specific heterogeneous tissue compositions and activity distributions.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30913544     DOI: 10.1088/1361-6560/ab134b

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

Review 1.  Preclinical Voxel-Based Dosimetry in Theranostics: a Review.

Authors:  Arun Gupta; Min Sun Lee; Joong Hyun Kim; Dong Soo Lee; Jae Sung Lee
Journal:  Nucl Med Mol Imaging       Date:  2020-04-19

2.  Biodistribution and internal radiation dosimetry of a companion diagnostic radiopharmaceutical, [68Ga]PSMA-11, in subcutaneous prostate cancer xenograft model mice.

Authors:  Su Bin Kim; In Ho Song; Yoo Sung Song; Byung Chul Lee; Arun Gupta; Jae Sung Lee; Hyun Soo Park; Sang Eun Kim
Journal:  Sci Rep       Date:  2021-07-27       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.