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© 2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Background

Reliable estimates of radiation dose to bone marrow are critical to understanding the risk of radiation-induced cancers. Although the medical internal radiation dose phantom is routinely used for dose estimation, bone marrow is not defined in the phantom. Consequently, methods of indirectly estimating bone marrow dose have been implemented based on dose to surrogate volumes or average dose to soft tissue.

Methods

In this study, new bone marrow structures were implemented and evaluated to the medical internal radiation dose phantom in Geant4, offering improved fidelity. The dose equivalent to the bone marrow was calculated across medical, occupational, and space radiation exposure scenarios, and compared with results using prior indirect estimation methods.

Conclusion

Our results show that bone marrow dose may be overestimated by up to a factor of three when using the traditional methods when compared with the improved fidelity medical internal radiation dose method, specifically at clinical x-ray energies.

Details

Title
Evaluating bone marrow dosimetry with the addition of bone marrow structures to the medical internal radiation dose phantom
Author
Ferrone, Kristine L 1 ; Willis, Charles E 2 ; Guan, Fada 3 ; Ma, Jingfei 2 ; Peterson, Leif E 4 ; Kry, Stephen F 2 

 The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA; The University of Texas M.D. Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, Texas, USA; The Aerospace Corporation, Houston, Texas, USA 
 The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA; The University of Texas M.D. Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, Texas, USA 
 The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA; Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut, USA 
 Department of Statistics, Rice University, Houston, Texas, USA 
Pages
27-35
Section
ORIGINAL ARTICLES
Publication year
2023
Publication date
Mar 2023
Publisher
John Wiley & Sons, Inc.
e-ISSN
23987324
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2791592611
Copyright
© 2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.