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  • NAM2019
    • Registration
    • Key Dates & Outline Schedule
    • Practical Information
    • Exhibitors
    • Grants & Bursaries
    • Contacts
  • Science
    • Science Programme
    • Parallel Sessions
    • Plenary Talks
    • Community Session
    • Special Lunches
    • Posters
    • Presenter Guidelines
  • Social
    • What's On
    • Welcome Reception
    • RAS Awards Dinner
  • Media
  • Outreach
    • Outreach and Education Day
    • Fringe Event
    • School Visit Day
  • Lancaster
    • Travel
    • Accommodation
    • Childcare
    • Campus Map
    • About Lancaster
    • Code of Conduct

Wednesday

Schedule

id
date time
PM2
17:15
Abstract
Applying an astrophysics modelling tool to improve the diagnosis and treatment of cancers using theranostic nanoparticles
Wednesday

Abstract details

id
Applying an astrophysics modelling tool to improve the diagnosis and treatment of cancers using theranostic nanoparticles
Date Submitted
2019-03-15 12:56:50
Charlie
Jeynes
University of Exeter
Impact of astronomy: ideas, inventions and people
Talk
C. Jeynes (University of Exeter), F. Wordingham (University of Exeter), L. Moran (University of Exeter), T. Harries (University of Exeter)
The University of Exeter is home to the TORUS Monte Carlo code that has been used to model a wide variety of astrophysical radiative transfer phenomena. Tim Harries and team have recently extended this code to include the transfer of light through biological tissue. Here I discuss applying and modifying (ARC)-TORUS for ‘Theranostic’ applications for this STFC ‘innovation’ Fellowship.

Theranostics is an exciting new avenue in medicine that seeks to combine diagnostic and therapeutic techniques as a single treatment, with the most immediate applications in cancer therapy. Theranostics are generally based around nanoparticles that both act as imaging agents as well as in a therapeutic capacity.

Many hurdles remain before theranostic technology is seen in the clinic. Critical to its success is the concentration of the theranostic within the tumour, and subsequent ‘killing dose’ that it receives once an external energy source (e.g. Near-Infra-Red light) is applied.

Computational modelling is a crucial tool to quickly and cheaply simulate likely scenarios (e.g. theranostic concentrations in tumours and irradiation doses) in which good imaging contrast can be achieved while subsequent treatment gives acceptable tumour control.

Using ARC-TORUS, we present an optimization of treatment for skin cancers infused with NIR light absorbing gold nanorods, as a showcase for how Monte Carlo modelling can be used to inform experiments, enabling translation to theranostic use in clinical practice.

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