Spatial Metrics of Tumour Vascular Organisation Predict Radiation Efficacy in a Computational Model

PLoS Computational Biology

Volumn 12, Issue 1, 2016, Pages

  Scott, Jacob G ^a,b   Fletcher, Alexander G ^b,c   Anderson, Alexander R A ^a   Maini, Philip K ^b  

^a H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; OXYGEN; RADIATION; RADIOTHERAPY; SPATIAL VARIABLES MEASUREMENT;

CELL SURVIVAL; COMPUTATIONAL MODELLING; IN-VITRO; MICROSCOPIC SCALE; OVERALL SURVIVAL; OXYGEN TENSION; RADIATION RESPONSE; SPATIAL METRICS; SPATIAL ORGANIZATION; VESSEL DISTRIBUTION;

TUMORS;

ALGORITHM; ARTICLE; CANCER CHEMOTHERAPY; CANCER GROWTH; CANCER RADIOTHERAPY; CELL DEATH; CELL FATE; CELL FUNCTION; CELL PROLIFERATION; CELL SURVIVAL; HYBRID CELLULAR AUTOMATON; MATHEMATICAL MODEL; OXYGEN CONSUMPTION; OXYGEN TENSION; OXYGEN TRANSPORT; PERSONALIZED MEDICINE; RADIATION DOSE; RADIATION RESPONSE; TUMOR BLOOD FLOW; TUMOR INVASION; TUMOR MICROENVIRONMENT; TUMOR VASCULARIZATION; APOPTOSIS; BIOLOGICAL MODEL; BIOLOGY; HUMAN; NEOPLASM; NEOVASCULARIZATION (PATHOLOGY); PATHOLOGY; PROCEDURES; VASCULARIZATION;

APOPTOSIS; COMPUTATIONAL BIOLOGY; HUMANS; MODELS, BIOLOGICAL; NEOPLASM INVASIVENESS; NEOPLASMS; NEOVASCULARIZATION, PATHOLOGIC;

EID: 84956764502     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004712     Document Type: Article

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