Lithium inelastic cross-sections and their impact on micro and nano dosimetry of boron neutron capture.

BNCT Ionization Detail Lithium Ions Low Energy Monte Carlo Track Structure

Journal

Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220

Informations de publication

Date de publication:
04 Jul 2024
Historique:
medline: 5 7 2024
pubmed: 5 7 2024
entrez: 4 7 2024
Statut: aheadofprint

Résumé

To present a new set of lithium-ion cross-sections for (i) ionization and excitation processes down to 700 eV, and (ii) charge-exchange processes down to 1 keV/u. To evaluate the impact of the use of these cross-sections on micro a nano dosimetric quantities in the context of boron neutron capture (BNC) applications/techniques.
Approach: The Classical Trajectory Monte Carlo (CTMC) method was used to calculate Li ion charge-exchange cross sections in the energy range of 1 keV/u to 10 MeV/u. Partial Li ion charge states ionization and excitation cross-sections were calculated using a detailed charge screening factor. The cross-sections were implemented in Geant4-DNA v10.07 and simulations and verified using TOPAS-nBio by calculating stopping power and CSDA range against data from ICRU and SRIM. Further microdosimetric and nanodosimetric calculations were performed to quantify differences against other simulation approaches for low energy Li ions. These calculations were: lineal energy spectra (yf(y) and yd(y)), frequency mean lineal energy (y_F ) ̅, dose mean lineal energy (y_D ) ̅ and ionization cluster size distribution analysis. Microdosimetric calculations were compared against a previous MC study that neglected charge-exchange and excitation processes. Nanodosimetric results were compared against pure ionization scaled cross-sections calculations.
Main Results: Calculated stopping power differences between ICRU and Geant4-DNA decreased from 33.78% to 6.9%. The CSDA range difference decreased from 621% to 34% when compared against SRIM calculations. Geant4-DNA/TOPAS calculated dose mean lineal energy differed by 128% from the previous Monte Carlo. Ionization cluster size frequency distributions for Li ions differed by 76% to 344.11% for 21 keV and 2 MeV respectively. With a decrease in the N1 within 9% at 10 keV and agreeing after the 100 keV. With the new set of cross-sections being able to better simulate low energy behaviors of Li ions.
Significance: This work shows an increase in detail gained from the use of a more complete set of low energy cross-sections which include charge exchange processes. Significant differences to previous simulation results were found at the microdosimetric and nanodosimetric scales that suggest that Li ions cause less ionizations per path length traveled but with more energy deposits. Microdosimetry results suggest that the BNC's contribution to cellular death may be mainly due to alpha particle production when boron-based drugs are distributed in the cellular membrane and beyond and by Li when it is at the cell cytoplasm regions.

Identifiants

pubmed: 38964312
doi: 10.1088/1361-6560/ad5f72
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 Institute of Physics and Engineering in Medicine.

Auteurs

J Naoki D-Kondo (JN)

Department of Radiation Oncology, University of California San Francisco, 1600 Divisadero Street, San Francisco, CA 94143, USA, San Francisco, California, 94143, UNITED STATES.

Ramon Ortiz (R)

Department of Radiation Oncology, University of California San Francisco, 1600 Divisadero Street, San Francisco, CA 94143, USA, San Francisco, California, 94143, UNITED STATES.

Bruce A Faddegon (BA)

Department of Radiation Oncology, University of California San Francisco, 1600 Divisadero Street, San Francisco, CA 94143, USA, San Francisco, California, 94115, UNITED STATES.

Sebastien Incerti (S)

Centre d'Etudes Nuclaires de Bordeaux Gradignan, Universite de Bordeaux I, CNRS/IN2P3, 19 chemin du Solarium, CS 10120, Gradignan, 33175, FRANCE.

Hoang N Tran (HN)

CNRS, LP2i Bordeaux, 19 Rue du Solarium, Gradignan, Aquitaine, 33170, FRANCE.

Ziad Francis (Z)

Faculty of Sciences, Department of Physics, Universite Saint Joseph, Campus of Science and Technology, Beirut, 1104 2020, LEBANON.

Eduardo Moreno-Barbosa (E)

FCFM, Benemerita Universidad Autonoma de Puebla Facultad de Ciencias Fisico Matematicas, Ciudad Universitaria, Puebla, 72570, MEXICO.

Jan Schuemann (J)

Radiation Oncology, Massachusetts General Hospital, Burr Proton Therapy Center, 30 Fruit Street, Boston, Massachusetts, 02114, UNITED STATES.

Jose Asuncion Ramos-Mendez (JA)

Department of Radiation Oncology, University of California, San Francisco, 1600 Divisadero, San Francisco, California, 94115, UNITED STATES.

Classifications MeSH