title: Contrast-enhanced high-resolution MRI of invasive breast cancer: correlation with histopathologic subtypes.
abstract: OBJECTIVE
  We sought to determine whether contrast-enhanced MRI could aid in the identification of the histopathologic subtypes of invasive ductal carcinoma.
  
  
  METHODS
  We evaluated the contrast-enhanced MR images obtained in 62 women with invasive ductal carcinoma of no special type. The presence or absence of three distinct MRI findings-linear enhancement, a serrated border, and delayed rim enhancement-was evaluated. Classification and regression tree analyses were performed to construct the most efficient algorithm for predicting histopathologic subtype on the basis of dynamic MRI features.
  
  
  RESULTS
  Histopathologic subtypes of the invasive ductal carcinomas were scirrhous carcinoma in 22 patients, solid tubular carcinoma in 14, and papillotubular carcinoma in 26. A lesion with a serrated border was observed in 28 (45.2%) of the 62 patients. Delayed rim enhancement was seen in 23 (37.1%) and linear enhancement in 20 (32.3%). Scirrhous carcinomas were closely associated with a serrated border (20/22 or 90.9%, p < 0.0001). Delayed rim enhancement was frequently observed in solid tubular carcinomas (12/14 or 85.7%, p < 0.0001) but was not typically seen in scirrhous carcinomas (1/22 or 4.5%, p < 0.0001). Linear enhancement showed relatively high prevalence in papillotubular carcinomas (13/26 or 50%) and low prevalence in solid tubular carcinomas (1/22 or 7%, p < 0.02). Histopathologic subtypes of invasive breast carcinoma of no special type could be correctly identified in 47 (75.8%) of 62 lesions using the diagnostic algorithm generated by the classification and regression tree analyses.
  
  
  CONCLUSIONS
  MRI features showed a close relationship with histopathologic subtypes of invasive ductal carcinoma of no special type. Contrast-enhanced MRI can be a noninvasive diagnostic tool for histopathologic subtypes of invasive breast cancer.
authors.affiliation: Department of Radiology, Mie University, School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan. kakuya@clin.medic.mie-u.ac.jp
authors.forename: Kakuya
authors.initials: K
authors.lastname: Kitagawa
authors.forename: Hajime
authors.initials: H
authors.lastname: Sakuma
authors.forename: Nanaka
authors.initials: N
authors.lastname: Ishida
authors.forename: Tadanori
authors.initials: T
authors.lastname: Hirano
authors.forename: Akinori
authors.initials: A
authors.lastname: Ishihara
authors.forename: Kan
authors.initials: K
authors.lastname: Takeda
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001943:Breast Neoplasms / Q000473:pathology*; D044584:Carcinoma, Ductal / Q000473:pathology*; D003287:Contrast Media; D005260:Female; D019786:Gadolinium DTPA; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D012044:Regression Analysis
chemical_list: D003287:Contrast Media; D019786:Gadolinium DTPA