Document Detail


Efficient Monte Carlo modelling of individual tumour cell propagation for hypoxic head and neck cancer.
MedLine Citation:
PMID:  18677039     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A Monte Carlo tumour model has been developed to simulate tumour cell propagation for head and neck squamous cell carcinoma. The model aims to eventually provide a radiobiological tool for radiation oncology clinicians to plan patient treatment schedules based on properties of the individual tumour. The inclusion of an oxygen distribution amongst the tumour cells enables the model to incorporate hypoxia and other associated parameters, which affect tumour growth. The object oriented program FORTRAN 95 has been used to create the model algorithm, with Monte Carlo methods being employed to randomly assign many of the cell parameters from probability distributions. Hypoxia has been implemented through random assignment of partial oxygen pressure values to individual cells during tumour growth, based on in vivo Eppendorf probe experimental data. The accumulation of up to 10 million virtual tumour cells in 15 min of computer running time has been achieved. The stem cell percentage and the degree of hypoxia are the parameters which most influence the final tumour growth rate. For a tumour with a doubling time of 40 days, the final stem cell percentage is approximately 1% of the total cell population. The effect of hypoxia on the tumour growth rate is significant. Using a hypoxia induced cell quiescence limit which affects 50% of cells with and oxygen levels less than 1 mm Hg, the tumour doubling time increases to over 200 days and the time of tumour growth for a clinically detectable tumour (10(9) cells) increases from 3 to 8 years. A biologically plausible Monte Carlo model of hypoxic head and neck squamous cell carcinoma tumour growth has been developed for real time assessment of the effects of multiple biological parameters which impact upon the response of the individual patient to fractionated radiotherapy.
Authors:
W Tuckwell; E Bezak; E Yeoh; L Marcu
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Publication Detail:
Type:  Journal Article     Date:  2008-08-01
Journal Detail:
Title:  Physics in medicine and biology     Volume:  53     ISSN:  0031-9155     ISO Abbreviation:  Phys Med Biol     Publication Date:  2008 Sep 
Date Detail:
Created Date:  2008-08-18     Completed Date:  2008-11-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0401220     Medline TA:  Phys Med Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  4489-507     Citation Subset:  IM    
Affiliation:
School of Chemistry and Physics, University of Adelaide, South Australia, Australia. wendy.tuckwell@health.sa.gov.au
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Anoxia*
Carcinoma / pathology*,  radiotherapy*
Cell Proliferation
Dose Fractionation
Head and Neck Neoplasms / pathology*,  radiotherapy*
Humans
Monte Carlo Method
Oxygen / metabolism
Programming Languages
Radiation Oncology / methods
Radiotherapy Dosage
Software
Stem Cells / cytology
Time Factors
Chemical
Reg. No./Substance:
7782-44-7/Oxygen

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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