Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy

Journal of Magnetic Resonance Imaging

Volumn 44, Issue 5, 2016, Pages 1099-1106

  Aghaei, Faranak ^a   Tan, Maxine ^a   Hollingsworth, Alan B ^b   Zheng, Bin ^a  

^a University of Oklahoma   (United States)

^b Mercy Health Center   (United States)

Author keywords

assessment of breast cancer prognosis; bilateral asymmetry of parenchyma breast MR enhancement; dynamic contrast enhanced breast magnetic resonance imaging; quantitative image feature analysis; tumor response to neoadjuvant chemotherapy

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST TUMOR; CANCER ADJUVANT THERAPY; CLASSIFIER; COMPUTER AIDED DESIGN; CONTROLLED STUDY; DRUG RESPONSE; HUMAN; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; ADJUVANT CHEMOTHERAPY; ADULT; AGED; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; DRUG MONITORING; FEASIBILITY STUDY; FEMALE; IMAGE ENHANCEMENT; MACHINE LEARNING; MIDDLE AGED; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY;

ANTINEOPLASTIC AGENT;

ADULT; AGED; ANTINEOPLASTIC AGENTS; BREAST NEOPLASMS; CHEMOTHERAPY, ADJUVANT; DRUG MONITORING; FEASIBILITY STUDIES; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 84963604279     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.25276     Document Type: Article

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