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Monte Carlo modelling of photodynamic therapy treatments comparing clustered three dimensional tumour structures with homogeneous tissue structures

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Date
07/07/2016
Author
Campbell, C. L.
Wood, K.
Brown, C. T. A.
Moseley, H.
Keywords
Monte Carlo modelling
Photodynamic therapy
Three dimensional modelling
QC Physics
R Medicine
NDAS
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Abstract
We explore the effects of three dimensional (3D) tumour structures on depth dependent fluence rates, photodynamic doses (PDD) and fluorescence images through Monte Carlo radiation transfer modelling of photodynamic therapy. The aim with this work was to compare the commonly used uniform tumour densities with non-uniform densities to determine the importance of including 3D models in theoretical investigations. It was found that fractal 3D models resulted in deeper penetration on average of therapeutic radiation and higher PDD. An increase in effective treatment depth of 1 mm was observed for one of the investigated fractal structures, when comparing to the equivalent smooth model. Wide field fluorescence images were simulated, revealing information about the relationship between tumour structure and the appearance of the fluorescence intensity. Our models indicate that the 3D tumour structure strongly affects the spatial distribution of therapeutic light, the PDD and the wide field appearance of surface fluorescence images.
Citation
Campbell , C L , Wood , K , Brown , C T A & Moseley , H 2016 , ' Monte Carlo modelling of photodynamic therapy treatments comparing clustered three dimensional tumour structures with homogeneous tissue structures ' , Physics in Medicine and Biology , vol. 61 , no. 13 , pp. 4840-4854 . https://doi.org/10.1088/0031-9155/61/13/4840
Publication
Physics in Medicine and Biology
Status
Peer reviewed
DOI
https://doi.org/10.1088/0031-9155/61/13/4840
ISSN
0031-9155
Type
Journal article
Rights
© 2016, Institute of Physics and Engineering in Medicine. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at iopscience.iop.org / https://dx.doi.org/10.1088/0031-9155/61/13/4840
Description
C L Campbell acknowledges financial support from an UK EPSRC PhD studentship (EP/K503162/1) and the Alfred Stewart Trust.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/10945

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