Computer-extracted MR imaging features are associated with survival in glioblastoma patients

Journal of Neuro-Oncology

Volumn 120, Issue 3, 2014, Pages 483-488

  Mazurowski, Maciej A ^a   Zhang, Jing ^a   Peters, Katherine B ^b   Hobbs, Hasan ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Computer vision; Glioblastoma; MRI; Survival

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CANCER PROGNOSIS; CANCER SURVIVAL; FEMALE; GLIOBLASTOMA; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROPORTIONAL HAZARDS MODEL; RADIOLOGICAL PARAMETERS; TUMOR NECROSIS; TUMOR VOLUME; VERY ELDERLY; ADOLESCENT; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN NEOPLASMS; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; KAPLAN MEIER METHOD; MIDDLE AGED; MULTICENTER STUDY; MULTIVARIATE ANALYSIS; PATHOLOGY; PROCEDURES; PROGNOSIS; STATISTICAL MODEL; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BRAIN; BRAIN NEOPLASMS; FEMALE; GLIOBLASTOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KAPLAN-MEIER ESTIMATE; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; TUMOR BURDEN; YOUNG ADULT;

EID: 84911386034     PISSN: 0167594X     EISSN: 15737373     Source Type: Journal    
DOI: 10.1007/s11060-014-1580-5     Document Type: Article

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