Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma

BMC Cancer

Volumn 16, Issue 1, 2016, Pages

  Grossmann, Patrick ^a,b   Gutman, David A ^c   Dunn, William D ^c   Holder, Chad A ^c   Aerts, Hugo J W L ^a,b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Glioblastoma; Imaging genomics; Neuro imaging; Noninvasive; Pathways; Prediction; Radiation Oncology; Radiomics; Volumetric

Indexed keywords

ARTICLE; CANCER SURVIVAL; CLINICAL DECISION MAKING; CLINICAL FEATURE; CONTRAST ENHANCEMENT; CONTROLLED STUDY; GENE EXPRESSION PROFILING; GENOMICS; GLIOBLASTOMA; HOMEOSTASIS; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; IMMUNE RESPONSE; MAJOR CLINICAL STUDY; MOLECULAR DIAGNOSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; OVERALL SURVIVAL; PHENOTYPE; PREDICTION; QUANTITATIVE ANALYSIS; TUMOR VOLUME; APOPTOSIS; BRAIN TUMOR; CELL CYCLE; CLINICAL DECISION SUPPORT SYSTEM; DIAGNOSTIC IMAGING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; PROCEDURES; SIGNAL TRANSDUCTION; SURVIVAL ANALYSIS;

APOPTOSIS; BRAIN NEOPLASMS; CELL CYCLE; DECISION SUPPORT SYSTEMS, CLINICAL; GENE EXPRESSION REGULATION, NEOPLASTIC; GENE REGULATORY NETWORKS; GENOMICS; GLIOBLASTOMA; HUMANS; MAGNETIC RESONANCE IMAGING; PHENOTYPE; SIGNAL TRANSDUCTION; SURVIVAL ANALYSIS;

EID: 84981194419     PISSN: None     EISSN: 14712407     Source Type: Journal    
DOI: 10.1186/s12885-016-2659-5     Document Type: Article

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