Response-driven imaging biomarkers for predicting radiation necrosis of the brain

Physics in Medicine and Biology

Volumn 59, Issue 10, 2014, Pages 2535-2547

  Zadeh, Mohammad Reza Nazem ^a   Chapman, Christopher H ^a   Chenevert, Thomas ^b   Lawrence, Theodore S ^a   Ten Haken, Randall K ^a   Tsien, Christina I ^a   Cao, Yue ^a,b,c  

^a HENRY FORD HOSPITAL   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

biomarker; brain; diffusion tensor imaging; radiation necrosis; response driven models

Indexed keywords

BIOMARKERS; BRAIN; CURRICULA; DIFFUSION TENSOR IMAGING; FORECASTING; MAGNETIC RESONANCE IMAGING; PATIENT TREATMENT; REGRESSION ANALYSIS; TENSORS;

BINARY LOGISTIC REGRESSION; GENERALIZED EQUIVALENT UNIFORM DOSE (GEUD); IMAGING BIOMARKERS; INTENSITY-MODULATED; LOGISTIC REGRESSION MODELING; NORMAL-TISSUE COMPLICATION PROBABILITY MODELS; RADIAL DIFFUSIVITY; RADIATION NECROSIS;

RADIATION;

BIOLOGICAL MARKER;

ADULT; AGED; BRAIN; CORPUS CALLOSUM; DIFFUSION TENSOR IMAGING; FEMALE; GLIOMA; HUMAN; MALE; METABOLISM; MIDDLE AGED; MULTIVARIATE ANALYSIS; NECROSIS; PATHOLOGY; RADIATION INJURIES; RADIATION RESPONSE; STATISTICAL MODEL; TREATMENT OUTCOME; WHITE MATTER; YOUNG ADULT;

ADULT; AGED; BIOLOGICAL MARKERS; BRAIN; CORPUS CALLOSUM; DIFFUSION TENSOR IMAGING; DOSE-RESPONSE RELATIONSHIP, RADIATION; FEMALE; GLIOMA; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NECROSIS; RADIATION INJURIES; TREATMENT OUTCOME; WHITE MATTER; YOUNG ADULT;

EID: 84899660793     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/59/10/2535     Document Type: Article

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