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Volumn 18, Issue 2, 2006, Pages 93-103

Mathematical modelling of survival of glioblastoma patients suggests a role for radiotherapy dose escalation and predicts poorer outcome after delay to start treatment

Author keywords

Delay to start treatment; Glioblastoma; Monte Carlo mathematical modelling; Radiotherapy dose escalation

Indexed keywords

ADULT; ARTICLE; BRAIN CELL; BRAIN TUMOR; CANCER MORTALITY; CANCER RADIOTHERAPY; CANCER SURVIVAL; CELL DAMAGE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DOSE RESPONSE; GLIOBLASTOMA; HUMAN; HYPOXIA; IN VIVO STUDY; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; MONTE CARLO METHOD; OUTCOMES RESEARCH; PATIENT SAFETY; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RADIATION DOSE; RANDOMIZED CONTROLLED TRIAL; SIMULATION; THERAPY DELAY; TREATMENT OUTCOME; TUMOR GROWTH;

EID: 31644440269     PISSN: 09366555     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clon.2005.08.017     Document Type: Article
Times cited : (74)

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