title: Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers.
abstract: OBJECTIVE
  To investigate whether a correlation exists between perfusion parameters obtained from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and prognostic factors or immunohistochemical subtypes of breast cancers.
  
  
  METHODS
  Quantitative parameters (K(trans) , k(ep) , and v(e) ) of 70 invasive ductal carcinomas were obtained using DCE-MRI as a postprocessing procedure. Correlations between parameters and prognostic factors, including tumor size, axillary nodal status, histologic grade, nuclear grade, expression of estrogen receptor (ER), progesterone receptor (PR), Ki-67, p53, bcl-2, and human epidermal growth factor receptor 2 (HER2) and subtypes categorized as luminal (ER or PR-positive), triple negative (ER or PR-negative, HER2-negative), and HER2 (ER and PR-negative, HER2 overexpression) were analyzed.
  
  
  RESULTS
  Mean K(trans) was higher in tumors with a high histologic grade than with a low histologic grade (P = 0.007), with a high nuclear grade than with a low nuclear grade (P = 0.002), and with ER negativity than ER positivity (P = 0.056). Mean k(ep) was higher in tumors with a high histologic grade than with a low histologic grade (P = 0.005), with a high nuclear grade than with a low nuclear grade (P = 0.001), and with ER negativity than with ER positivity (P = 0.043). Mean v(e) was lower in tumors with a high histologic grade than with a low histologic grade (P = 0.038) and with ER negativity than with ER positivity (P = 0.015). Triple-negative cancers showed a higher mean k(ep) than the luminal type (P = 0.015).
  
  
  CONCLUSIONS
  Breast cancers with higher K(trans) and k(ep) , or lower v(e) , had poor prognostic factors and were often of the triple-negative subtype.
authors.affiliation: Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
authors.forename: Hye Ryoung
authors.initials: HR
authors.lastname: Koo
authors.forename: Nariya
authors.initials: N
authors.lastname: Cho
authors.forename: In Chan
authors.initials: IC
authors.lastname: Song
authors.forename: Hyeonjin
authors.initials: H
authors.lastname: Kim
authors.forename: Jung Min
authors.initials: JM
authors.lastname: Chang
authors.forename: Ann
authors.initials: A
authors.lastname: Yi
authors.forename: Bo La
authors.initials: BL
authors.lastname: Yun
authors.forename: Woo Kyung
authors.initials: WK
authors.lastname: Moon
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001943:Breast Neoplasms / Q000150:complications* / Q000473:pathology*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000150:complications* / Q000473:pathology*; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013223:Statistics as Topic