Predicting grade of cerebral glioma using vascular-space occupancy MR imaging

American Journal of Neuroradiology

Volumn 29, Issue 2, 2008, Pages 373-378

  Lu, Hanzhang ^a,b   Pollack, E ^a   Young, R ^a   Babb, J S ^a   Johnson, G ^a   Zagzag, D ^a   Carson, R ^a,c   Jensen, J H ^a   Helpern, J A ^a   Law, M ^a,c,d  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^c MOUNT SINAI MEDICAL CENTER   (United States)

^d MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BLOOD VESSEL PERMEABILITY; BRAIN BLOOD FLOW; CANCER GRADING; CLINICAL ARTICLE; DIAGNOSTIC IMAGING; FEMALE; GLIOMA; HUMAN; IMAGE ANALYSIS; LOGISTIC REGRESSION ANALYSIS; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; ROC CURVE;

BLOOD VOLUME; BRAIN NEOPLASMS; CEREBROVASCULAR CIRCULATION; FEMALE; GLIOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEOVASCULARIZATION, PATHOLOGIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 39649099389     PISSN: 01956108     EISSN: None     Source Type: Journal    
DOI: 10.3174/ajnr.A0794     Document Type: Article

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