Abstract

The effective dose represents the overall internal radiation exposure to the whole body when exposed to radiation sources. This study aims to compare conventional and software-aided methods to derive the effective dose. In the present study, 8F-T807 and 18F-Mefway, specific radiotracers for the paired helical tau and serotonin 1A receptor, were administered to healthy subjects (n = 6, each radiotracer), following which whole-body positron emission tomography (PET) images were obtained for 2 h. Subsequently, time-activity curves for major organs were obtained, and the residence times were calculated using the “conventional” and “Residence Times model” tools in PMOD software. The residence times from each method was input into OLINDA/EXM software, and the effective dose was estimated. The differences in the average residence times of the brain, heart, lung, and liver were 18.4, 20.8, 10.4, and 13.3% for 18F-T807, and 17.5, 16.4, 18.1, and 17.5% for 18F-Mefway, respectively. For the mean effective dose, the error rates between the methods were 3.8 and 1.9% for 18F-T807 and 18F-Mefway, respectively. The organs that showed the greatest difference in the absorbed dose were the urinary bladder for 18F-T807 (40.4%) and the liver for 18F-Mefway (14.1%). This method of obtaining the residence time using PMOD can be easily used to derive the effective dose, and is applicable in evaluating the safety of radiotracers for clinical trials.

Details

Title
Assessing the applicability of PMOD residence times model for PET image-based radiation dosimetry
Author
Oh, Se Jong 1 ; Lyoo, Chul Hyoung 2 ; Ryu, Young Hoon 3 ; Choi, Jae Yong 4 

 Korea Institute of Radiological and Medical Sciences, Division of Applied RI, Seoul, Korea (GRID:grid.415464.6) (ISNI:0000 0000 9489 1588) 
 Yonsei University College of Medicine, Department of Neurology, Gangnam Severance Hospital, Seoul, Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454) 
 Yonsei University College of Medicine, Department of Nuclear Medicine, Gangnam Severance Hospital, Seoul, Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454) 
 Korea Institute of Radiological and Medical Sciences, Division of Applied RI, Seoul, Korea (GRID:grid.415464.6) (ISNI:0000 0000 9489 1588); University of Science and Technology (UST), Radiological and Medico-Oncological Sciences, Seoul, Korea (GRID:grid.412786.e) (ISNI:0000 0004 1791 8264) 
Pages
19387
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2887159829
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.