↓ Skip to main content

Monte Carlo simulations for dose enhancement in cancer treatment using bismuth oxide nanoparticles implanted in brain soft tissue

Overview of attention for article published in Physical and Engineering Sciences in Medicine, March 2018
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
20 Mendeley
Title
Monte Carlo simulations for dose enhancement in cancer treatment using bismuth oxide nanoparticles implanted in brain soft tissue
Published in
Physical and Engineering Sciences in Medicine, March 2018
DOI 10.1007/s13246-018-0633-z
Pubmed ID
Authors

Eslam Taha, Fathi Djouider, Essam Banoqitah

Abstract

The objective of this work is to study the dosimetric performances of bismuth oxide nanoparticles implanted in tumors in cancer radiotherapy. GEANT4 based Monte Carlo numerical simulations were performed to assess dose enhancement distributions in and around a 1 × 1 × 1 cm3tumor implanted with different concentrations of bismuth oxide and irradiated with low energies125I,131Cs, and103Pd radioactive sources. Dose contributions were considered from photoelectrons, Auger electrons, and characteristic X-rays. Our results show the dose enhancement increased with increasing both bismuth oxide concentration in the target and photon energy. A dose enhancement factor up to 18.55 was obtained for a concentration of 70 mg/g of bismuth oxide in the tumor when irradiated with131Cs source. This study showed that bismuth oxide nanoparticles are innovative agents that could be potentially applicable to in vivo cancer radiotherapy due to the fact that they induce a highly localized energy deposition within the tumor.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Master 3 15%
Professor > Associate Professor 2 10%
Lecturer > Senior Lecturer 1 5%
Student > Ph. D. Student 1 5%
Other 0 0%
Unknown 7 35%
Readers by discipline Count As %
Engineering 4 20%
Medicine and Dentistry 2 10%
Physics and Astronomy 2 10%
Environmental Science 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 8 40%