Diagnostic performance of apparent diffusion coefficient and quantitative kinetic parameters for predicting additional malignancy in patients with newly diagnosed breast cancer

Magnetic Resonance Imaging

Volumn 32, Issue 7, 2014, Pages 867-874

  Yoo, Hyunkyung ^a,b   Shin, Hee Jung ^a   Baek, Seunghee ^a   Cha, Joo Hee ^a   Kim, Hyunji ^a   Chae, Eun Young ^a   Kim, Hak Hee ^a  

^a University of Ulsan College of Medicine   (South Korea)

^b Inha University Hospital   (South Korea)

Author keywords

Breast; Breast neoplasm; Diffusion weighted imaging; Dynamic contrast enhanced MRI

Indexed keywords

GADOLINIUM PENTETATE MEGLUMINE; CONTRAST MEDIUM; GADOLINIUM PENTETATE;

ADULT; AGED; APPARENT DIFFUSION COEFFICIENT; AREA UNDER THE CURVE; ARTICLE; BENIGN TUMOR; BREAST CANCER; COMPARATIVE STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIFFUSION WEIGHTED IMAGING; DYNAMIC CONTRAST ENHANCED NUCLEAR MAGNETIC RESONANCE IMAGING; FEMALE; HUMAN; HUMAN TISSUE; INITIAL PEAK ENHANCEMENT; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; QUANTITATIVE KINETIC PARAMETERS; RADIOLOGICAL PARAMETERS; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; TUMOR VOLUME; ADOLESCENT; ALGORITHM; BIOLOGICAL MODEL; BREAST TUMOR; CANCER STAGING; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIAGNOSTIC USE; EARLY DIAGNOSIS; IMAGE ENHANCEMENT; KINETICS; METABOLISM; MIDDLE AGED; PATHOLOGY; PROCEDURES; PROGNOSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; ALGORITHMS; BREAST NEOPLASMS; COMPUTER SIMULATION; CONTRAST MEDIA; DIFFUSION MAGNETIC RESONANCE IMAGING; EARLY DETECTION OF CANCER; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KINETICS; MIDDLE AGED; MODELS, BIOLOGICAL; NEOPLASM STAGING; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84904044327     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2014.04.012     Document Type: Article

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