title: MRI morphological classification of ductal carcinoma in situ (DCIS) correlating with different biological behavior.
abstract: OBJECTIVE
  To investigate morphological appearance of ductal carcinoma in situ of breast on MRI and to correlate the appearances with some factors.
  
  
  METHODS
  MRI feature of 41 DCISs were analyzed retrospectively according to ACR BI-RADS, twenty-three of the 41 were pure DCIS and 18 were DCIS with microinvasion (DCIS-MI). The shape was categorized as mass lesion and non-mass-like lesion. The shape was correlated with histological grade, ER status and expression of e-erbB2 as well as pure DCIS or DCIS-MI.
  
  
  RESULTS
  Percentage of high grade in non-mass-like lesion was higher than that in mass type group, Average size of tumor in group of high grade, negative ER status and positive c-erbB2 expression were larger than that in non-high grade, positive ER status and negative c-erbB2 expression. Comparing pure DCIS and DCIS-MI, high grade in DCIS-MI was significantly higher than that in pure DCIS, Average size of DCIS-MI was larger than that in pure DCIS. Percentage of non-mass-like lesion was higher in DCIS-IM than that in pure DCIS, the difference was marginally significant.
  
  
  CONCLUSIONS
  DCIS can be classified as mass type and non-mass-like type morphologically on MRI. The two types reflect different biological behavior.
authors.affiliation: Department of Radiology, Cancer center, Fudan University, Shanghai 200032, China.
authors.forename: Haiquan
authors.initials: H
authors.lastname: Liu
authors.forename: Weijun
authors.initials: W
authors.lastname: Peng
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000473:pathology*; D002278:Carcinoma in Situ / Q000473:pathology*; D018270:Carcinoma, Ductal, Breast / Q000473:pathology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D013223:Statistics as Topic