Applying a 4D multiscale in vivo tumor growth model to the exploration of radiotherapy scheduling: The effects of weekend treatment gaps and p53 gene status on the response of fast growing solid tumors

Cancer Informatics

Volumn 2, Issue , 2006, Pages 113-121

  Dionysiou, Dimitra D ^a,b   Stamatakos, Georgios S ^a,b  

^a INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS   (Greece)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

CHART; Fractionation; Glioblastoma; HART; p53; Radiotherapy; Simulation

Indexed keywords

PROTEIN P53;

ARTICLE; GLIOBLASTOMA; IN VIVO STUDY; LUNG NON SMALL CELL CANCER; MEDICAL RESEARCH; RADIATION DOSE FRACTIONATION; SIMULATION; TUMOR GROWTH; CANCER CONTROL; CANCER RADIOTHERAPY; CELL CYCLE S PHASE; CELL LOSS; COMPUTER SIMULATION; CONTROLLED STUDY; G1 PHASE CELL CYCLE CHECKPOINT; G2 PHASE CELL CYCLE CHECKPOINT; GENE; HUMAN; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NON SMALL CELL LUNG CANCER; P53 GENE; RADIOSENSITIVITY; TREATMENT RESPONSE;

EID: 33746780668     PISSN: 11769351     EISSN: 11769351     Source Type: Journal    
DOI: 10.1177/117693510600200001     Document Type: Article

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