Glioma: Application of histogram analysis of pharmacokinetic parameters from T1-weighted dynamic contrast-enhanced MR imaging to tumor grading

American Journal of Neuroradiology

Volumn 35, Issue 6, 2014, Pages 1103-1110

  Jung, S C ^a   Yeom, J A ^a   Kim, J H ^a   Ryoo, I ^a   Kim, S C ^a   Shin, H ^a   Lee, A L ^a   Yun, T J ^a   Park, C K ^a   Sohn, C H ^a   Park, S H ^a   Choi, Seung Hong ^a,b  

^a Seoul National University College of Medicine   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

GADOBUTROL; CONTRAST MEDIUM; ORGANOMETALLIC COMPOUND;

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; CANCER DIAGNOSIS; CANCER GRADING; CANCER SURGERY; CLINICAL ARTICLE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EXTRACELLULAR SPACE; EXTRAVASCULAR SPACE; FEMALE; GLIOMA; HISTOGRAM; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; MALE; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE SCANNER; PHARMACOKINETICS; PLASMA CONCENTRATION-TIME CURVE; PLASMA VOLUME; RETROSPECTIVE STUDY; SUSCEPTIBILITY WEIGHTED IMAGING; T1 WEIGHTED DYNAMIC CONTRAST ENHANCED PERFUSION MAGNETIC RESONANCE IMAGING; TUMOR BIOPSY; TUMOR DIFFERENTIATION; TUMOR VOLUME; WORLD HEALTH ORGANIZATION; ALGORITHM; BRAIN TUMOR; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIAGNOSTIC USE; IMAGE ENHANCEMENT; MATHEMATICAL COMPUTING; METABOLISM; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ADULT; AGED; ALGORITHMS; BRAIN NEOPLASMS; COMPUTER SIMULATION; CONTRAST MEDIA; DATA INTERPRETATION, STATISTICAL; FEMALE; GLIOMA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEOPLASM GRADING; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; ORGANOMETALLIC COMPOUNDS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 84902357337     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3825     Document Type: Article

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