Multiple Source Phototherapy in Breast Cancer: A Viability Study

Radiation therapy is one of many common treatments applied to breast cancer. Most usual radiation sources applied are ionizing radiation, such as g-rays and X-rays, and non-ionizing radiation such as ultraviolet radiation. The possibility of using near infrared light to photoactivate a drug inside an 8 cm diameter biological object is discussed in this work via Monte Carlo simulations. Two simulation setups performed in the Geant4/GAMOS framework are presented in order to study the viability of photoactivating a drug by using several near infrared light sources. The overall objective of this technique is to minimize energy concentrated at objects surface and maximize it in a predefined region of interest. Results show an increase energy absorption in the desired region of interest inside a 8 cm object, when a higher absorption particle is present. With the use of multiple sources it is possible to photoactivate the drug while causing minimal damage to the surface of the radiated object.

[1]  Lili Wang,et al.  Measurement of Absorption and Scattering With an Integrating Sphere Detector: Application to Microalgae , 2009, Journal of research of the National Institute of Standards and Technology.

[2]  J. Santos,et al.  Concentrated photoactivation: focusing light through scattering , 2015 .

[3]  S. Jacques Optical properties of biological tissues: a review , 2013, Physics in medicine and biology.

[4]  M. Mandal,et al.  Targeted therapy against EGFR and VEGFR using ZD6474 enhances the therapeutic potential of UV-B phototherapy in breast cancer cells , 2013, Molecular Cancer.

[5]  D. Veiga,et al.  Phototherapy 660 nm for the prevention of radiodermatitis in breast cancer patients receiving radiation therapy: study protocol for a randomized controlled trial , 2014, Trials.

[6]  C. Bohren,et al.  Appendix A: Homogeneous Sphere , 2007 .

[7]  Brian W Pogue,et al.  Approximation of Mie scattering parameters in near-infrared tomography of normal breast tissue in vivo. , 2005, Journal of biomedical optics.

[8]  Alessandro Torricelli,et al.  Determination of VIS- NIR absorption coefficients of mammalian fat, with time- and spatially resolved diffuse reflectance and transmission spectroscopy , 2004 .

[9]  Brian W. Pogue,et al.  A GAMOS plug-in for GEANT4 based Monte Carlo simulation of radiation-induced light transport in biological media , 2013, Biomedical optics express.

[10]  Quan Liu,et al.  Review of Monte Carlo modeling of light transport in tissues , 2013, Journal of biomedical optics.

[11]  A. N. Bashkatov,et al.  Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm , 2005 .

[12]  Alistair Lee McEwan,et al.  Simulation-based optimization of a near-infrared spectroscopic subcutaneous fat thickness measuring device , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  S R Arridge,et al.  Recent advances in diffuse optical imaging , 2005, Physics in medicine and biology.