Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Journal of Medical Imaging

Volumn 2, Issue 4, 2015, Pages

  Guo, Wentian ^a,c   Li, Hui ^a   Zhu, Yitan ^b   Lan, Li ^a   Yang, Shengjie ^b   Drukker, Karen ^a   Morris, Elizabeth ^d   Burnside, Elizabeth ^e   Whitman, Gary ^f   Giger, Maryellen L ^a   Ji, Yuan ^a,b  

^a UNIVERSITY OF CHICAGO   (United States)

^b NORTHSHORE UNIVERSITY HEALTHSYSTEM   (United States)

^c FUDAN UNIVERSITY   (China)

^d MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

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

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

Author keywords

invasive breast carcinoma; prediction of clinical outcomes; radiogenomics; The Cancer Genome Atlas; The Cancer Imaging Archive

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR 2; ESTROGEN RECEPTOR; PROGESTERONE RECEPTOR;

ADULT; AGED; ARTICLE; BREAST CARCINOMA; CANCER STAGING; DATA ANALYSIS; FEMALE; GENOMICS; HUMAN; IMAGE ANALYSIS; LYMPH NODE METASTASIS; MAJOR CLINICAL STUDY; OUTCOME ASSESSMENT; PHENOTYPE; PREDICTION; RADIOMETRY; RADIOMICS; RECEIVER OPERATING CHARACTERISTIC;

EID: 84979047899     PISSN: 23294302     EISSN: 23294310     Source Type: Journal    
DOI: 10.1117/1.JMI.2.4.041007     Document Type: Article

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