Bulletin of the American Physical Society
APS March Meeting 2019
Volume 64, Number 2
Monday–Friday, March 4–8, 2019; Boston, Massachusetts
Session P23: Physics in Medicine: Computational Modeling
2:30 PM–4:54 PM,
Wednesday, March 6, 2019
BCEC
Room: 158
Sponsoring
Unit:
GMED
Chair: Robert Austin, Princeton University
Abstract: P23.00005 : TOPAS-nBio: Modeling effects of radiation with nanometer-scale Monte Carlo simulations*
3:18 PM–3:30 PM
Presenter:
Jan Schuemann
(Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA)
Authors:
Jan Schuemann
(Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA)
Aimee L McNamara
(Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA)
Jose Ramos-Mendez
(Radiation Oncology, University of California San Francisco, San Francisco, CA)
Joseph Perl
(SLAC National Accelerator Laboratory, Menlo Park, CA)
Kathryn D Held
(Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA)
Harald Paganetti
(Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA)
Sebastien Incerti
(CNRS, IN2P3, CENBG, UMR 5797, F-33170 Gradignan, France)
Bruce Faddegon
(Radiation Oncology, University of California San Francisco, San Francisco, CA)
Collaboration:
TOPAS-nBio
MC simulation offers a unique tool to explore these effects. To make this method more accessible we developed TOPAS-nBio, a nanometer scale extension for radiobiology to the TOPAS MC system layered on top of the Geant4/Geant4-DNA MC toolkit. TOPAS-nBio includes detailed cell geometries, such as various DNA models, mitochondria and cells (e.g. fibroblasts or neurons). Two implementations of chemistry can be used with up to 72 reactions classified into 6 types between neutral and charged species. We reproduced time-dependent G-values within 7% for ●OH and e-aq and 50% for H2O2 as well as DNA damage in plasmids within 50%. The physical and chemical simulations depict direct and indirect damages to cells which are propagated using mechanistic models of DNA repair kinetics.
*Supported by the National Institutes of Health (NIH)/National Cancer Institute (NCI) grant R01 CA187003.
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