Quantifying tumour heterogeneity with CT

Cancer Imaging

Volumn 13, Issue 1, 2013, Pages 140-149

  Ganeshan, Balaji ^a   Miles, Kenneth A ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Biology; Characterization; Computed tomography; Heterogeneity; Imaging biomarker; Prognosis; Quantitative; Texture analysis; Treatment response and prediction; Tumour

Indexed keywords

BIOLOGICAL MARKER;

ANGIOGENESIS; BODY MASS; CANCER CHEMOTHERAPY; CANCER PROGNOSIS; CANCER RADIOTHERAPY; CANCER STAGING; CANCER SURVIVAL; COLORECTAL CANCER; COMPUTER AIDED DESIGN; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; COST EFFECTIVENESS ANALYSIS; DISEASE SEVERITY; HEAD AND NECK SQUAMOUS CELL CARCINOMA; HEALTH ECONOMICS; HUMAN; HYPOXIA; IMAGE ANALYSIS; IMAGE QUALITY; LIFE EXPECTANCY; LIVER CELL CARCINOMA; LUNG NODULE; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; REVIEW; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; TREATMENT PLANNING; TREATMENT RESPONSE; TUMOR MICROENVIRONMENT;

DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEOPLASMS; PROGNOSIS; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84876196444     PISSN: None     EISSN: 14707330     Source Type: Journal    
DOI: 10.1102/1470-7330.2013.0015     Document Type: Review

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