title: Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging.
abstract: OBJECTIVE
  To investigate associations between breast cancer molecular subtype and semiautomatically extracted magnetic resonance (MR) imaging features.
  
  
  METHODS
  Imaging and genomic data from the Cancer Genome Atlas and the Cancer Imaging Archive for 48 patients with breast cancer from four institutions in the United States were used in this institutional review board approval-exempt study. Computer vision algorithms were applied to extract 23 imaging features from lesions indicated by a breast radiologist on MR images. Morphologic, textural, and dynamic features were extracted. Molecular subtype was determined on the basis of genomic analysis. Associations between the imaging features and molecular subtype were evaluated by using logistic regression and likelihood ratio tests. The analysis controlled for the age of the patients, their menopausal status, and the orientation of the MR images (sagittal vs axial).
  
  
  RESULTS
  There is an association (P = .0015) between the luminal B subtype and a dynamic contrast material-enhancement feature that quantifies the relationship between lesion enhancement and background parenchymal enhancement. Cancers with a higher ratio of lesion enhancement rate to background parenchymal enhancement rate are more likely to be luminal B subtype.
  
  
  CONCLUSIONS
  The luminal B subtype of breast cancer is associated with MR imaging features that relate the enhancement dynamics of the tumor and the background parenchyma.
authors.affiliation: From the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (M.A.M., J.Z., L.J.G., S.C.Y.); and Department of Biomedical Engineering, Duke University, Pratt School of Engineering, Durham, NC (J.I.S.).
authors.forename: Maciej A
authors.initials: MA
authors.lastname: Mazurowski
authors.forename: Jing
authors.initials: J
authors.lastname: Zhang
authors.forename: Lars J
authors.initials: LJ
authors.lastname: Grimm
authors.forename: Sora C
authors.initials: SC
authors.lastname: Yoon
authors.forename: James I
authors.initials: JI
authors.lastname: Silber
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D014408:Biomarkers, Tumor / Q000032:analysis; D001943:Breast Neoplasms / Q000235:genetics* / Q000473:pathology*; D003287:Contrast Media; D005260:Female; D005682:Gadolinium; D020022:Genetic Predisposition to Disease; D023281:Genomics / Q000379:methods*; D005838:Genotype; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000235:genetics*; D018570:Risk Assessment
chemical_list: D014408:Biomarkers, Tumor; D003287:Contrast Media; D005682:Gadolinium; D018719:Erb-b2 Receptor Tyrosine Kinases; C508053:ERBB2 protein, human