Automatic multi-modal MR tissue classification for the assessment of response to bevacizumab in patients with glioblastoma

European Journal of Radiology

Volumn 82, Issue 2, 2013, Pages

  Liberman, Gilad ^a,b   Louzoun, Yoram ^b   Aizenstein, Orna ^a   Blumenthal, Deborah T ^a   Bokstein, Felix ^a   Palmon, Mika ^a   Corn, Benjamin W ^a   Ben Bashat, Dafna ^a  

^a TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

^b BAR ILAN UNIVERSITY   (Israel)

Author keywords

Anti angiogenic treatment; Automatic classification; Glioblastoma; MRI

Indexed keywords

BEVACIZUMAB;

ADULT; AGED; ANTIANGIOGENIC THERAPY; ARTICLE; AUTOMATION; CANCER CHEMOTHERAPY; CANCER INVASION; CANCER PATIENT; CANCER SURVIVAL; CANCER TISSUE; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; COMPARATIVE EFFECTIVENESS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; GLIOBLASTOMA; HUMAN; HUMAN TISSUE; INTERMETHOD COMPARISON; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; OUTCOME ASSESSMENT; PATIENT MONITORING; PRIORITY JOURNAL; PROGRESSION FREE SURVIVAL; TREATMENT RESPONSE; TUMOR RECURRENCE; TUMOR VOLUME;

ADULT; AGED; ALGORITHMS; ANGIOGENESIS INHIBITORS; ANTIBODIES, MONOCLONAL, HUMANIZED; ARTIFICIAL INTELLIGENCE; BRAIN NEOPLASMS; FEMALE; GLIOBLASTOMA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME;

EID: 84871920938     PISSN: 0720048X     EISSN: 18727727     Source Type: Journal    
DOI: 10.1016/j.ejrad.2012.09.001     Document Type: Article

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