Efficient Monte Carlo modelling of individual tumour cell propagation for hypoxic head and neck cancer

Physics in Medicine and Biology

Volumn 53, Issue 17, 2008, Pages 4489-4507

  Tuckwell, W ^a,b   Bezak, E ^a,b   Yeoh, E ^a,b   Marcu, L ^a,b  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b ROYAL ADELAIDE HOSPITAL   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BIOTECHNOLOGY; CELL CULTURE; CELL GROWTH; CELL PROLIFERATION; CELLS; CRACK PROPAGATION; CYTOLOGY; ECOLOGY; HEALTH; MANAGEMENT SCIENCE; MATHEMATICAL MODELS; MERCURY (METAL); MONTE CARLO METHODS; NONMETALS; OXYGEN; PATIENT TREATMENT; POPULATION STATISTICS; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT;

CELL PARAMETERS; CELL POPULATIONS; CELL PROPAGATION; EXPERIMENTAL DATA; FORTRAN 95; HEAD-AND-NECK CANCER; HEAD-AND-NECK SQUAMOUS CELL CARCINOMA; IN-VIVO; MONTE CARLO; MONTE CARLO MODELLING; OBJECT-ORIENTED PROGRAMS; OXYGEN DISTRIBUTION; OXYGEN LEVELS; PARTIAL OXYGEN PRESSURES; RADIATION ONCOLOGY; RANDOM ASSIGNMENT; RUNNING TIME; STEM CELLS; TREATMENT SCHEDULES; TUMOUR CELLS;

TUMORS;

ARTICLE; COMPUTER PROGRAM; HEAD AND NECK CARCINOMA; HYPOXIA; MONTE CARLO METHOD; OXYGEN TENSION; PRIORITY JOURNAL; SQUAMOUS CELL CARCINOMA; TUMOR CELL; TUMOR GROWTH; TUMOR MODEL;

ALGORITHMS; ANOXIA; CARCINOMA; CELL PROLIFERATION; DOSE FRACTIONATION; HEAD AND NECK NEOPLASMS; HUMANS; MONTE CARLO METHOD; OXYGEN; PROGRAMMING LANGUAGES; RADIATION ONCOLOGY; RADIOTHERAPY DOSAGE; SOFTWARE; STEM CELLS; TIME FACTORS;

EID: 51849125619     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/53/17/002     Document Type: Article

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