Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage

Cancer

Volumn 122, Issue 5, 2016, Pages 748-757

  Burnside, Elizabeth S ^a   Drukker, Karen ^b   Li, Hui ^b   Bonaccio, Ermelinda ^c   Zuley, Margarita ^d   Ganott, Marie ^d   Net, Jose M ^e   Sutton, Elizabeth J ^f   Brandt, Kathleen R ^g   Whitman, Gary J ^h   Conzen, Suzanne D ^b   Lan, Li ^b   Ji, Yuan ^b,i   Zhu, Yitan ⁱ   Jaffe, Carl C ^j   Huang, Erich P ^j   Freymann, John B ^j   Kirby, Justin S ^j   Morris, Elizabeth A ^f   Giger, Maryellen L ^b  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c ROSWELL PARK CANCER INSTITUTE   (United States)

^d UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^f MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^g MAYO CLINIC   (United States)

^h UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

ⁱ NORTHSHORE UNIVERSITY HEALTHSYSTEM   (United States)

^j NATIONAL CANCER INSTITUTE   (United States)

more..

Author keywords

breast cancer stage; magnetic resonance imaging (MRI); prognosis; quantitative image analysis

Indexed keywords

ADULT; AGED; ARTICLE; BREAST BIOPSY; BREAST CANCER; CANCER STAGING; COMPUTER EXTRACTED IMAGE PHENOTYPE; FEMALE; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGING; LYMPH NODE; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; TUMOR VOLUME; VERY ELDERLY; BREAST TUMOR; IMAGE PROCESSING; LUNG CARCINOMA; MIDDLE AGED; PAGET NIPPLE DISEASE; PATHOLOGY; PHENOTYPE; PROCEDURES; PROGNOSIS;

ADULT; AGED; AGED, 80 AND OVER; BREAST NEOPLASMS; CARCINOMA, DUCTAL, BREAST; CARCINOMA, LOBULAR; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LYMPH NODES; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; NEOPLASM STAGING; PHENOTYPE; PROGNOSIS; ROC CURVE;

EID: 84958879262     PISSN: 0008543X     EISSN: 10970142     Source Type: Journal    
DOI: 10.1002/cncr.29791     Document Type: Article

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