Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma

Medical Physics

Volumn 42, Issue 11, 2015, Pages 6725-6735

  Yang, Dalu ^a   Rao, Ganesh ^a   Martinez, Juan ^a   Veeraraghavan, Ashok ^b   Rao, Arvind ^a  

^a UNIVERSITY OF TEXAS   (United States)

^b Rice University   (United States)

Author keywords

glioblastoma; imaging genomics; molecular subtypes; texture features

Indexed keywords

BRAIN; COMPUTER AIDED DIAGNOSIS; DECISION TREES; FORECASTING; IMAGE SEGMENTATION; LOCAL BINARY PATTERN; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; NONINVASIVE MEDICAL PROCEDURES; PATIENT REHABILITATION; TUMORS;

FLUID-ATTENUATED INVERSION RECOVERIES; GENOMICS; GLIOBLASTOMA MULTIFORME; GLIOBLASTOMAS; HISTOGRAM OF ORIENTED GRADIENT FEATURES; IMAGING GENOMIC; MOLECULAR SUBTYPE; OVERALL SURVIVAL; TEXTURE ANALYSIS; TEXTURE FEATURES;

GENOME;

ARTICLE; CANCER SURVIVAL; FEMALE; GLIOBLASTOMA; HUMAN; MAJOR CLINICAL STUDY; MALE; NON INVASIVE PROCEDURE; NUCLEAR MAGNETIC RESONANCE IMAGING; OVERALL SURVIVAL; RECEIVER OPERATING CHARACTERISTIC; SURVIVAL PREDICTION; SURVIVAL TIME; TUMOR LOCALIZATION; ALGORITHM; AREA UNDER THE CURVE; BRAIN; BRAIN NEOPLASMS; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; FEASIBILITY STUDY; METABOLISM; PATHOLOGY; PROCEDURES; PROGNOSIS; SURVIVAL ANALYSIS;

ALGORITHMS; AREA UNDER CURVE; BRAIN; BRAIN NEOPLASMS; FEASIBILITY STUDIES; FEMALE; GLIOBLASTOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; PROGNOSIS; ROC CURVE; SURVIVAL ANALYSIS;

EID: 84946141733     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4934373     Document Type: Article

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