title: Characterization of breast masses by dynamic enhanced MR imaging. A logistic regression analysis.
abstract: OBJECTIVE
  To identify features useful for differentiation between malignant and benign breast neoplasms using multivariate analysis of findings by MR imaging.
  
  
  METHODS
  In a retrospective analysis, 61 patients with 64 breast masses underwent MR imaging and the time-signal intensity curves for precontrast dynamic postcontrast images were quantitatively analyzed. Statistical analysis was performed using a logistic regression model, which was prospectively tested in another 34 patients with suspected breast masses.
  
  
  RESULTS
  Univariate analysis revealed that the reliable indicators for malignancy were first the appearance of the tumor border, followed by the washout ratio, internal architecture after contrast enhancement, and peak time. The factors significantly associated with malignancy were irregular tumor border, followed by washout ratio, internal architecture, and peak time. For differentiation between benignity and malignancy, the maximum cut-off point was to be found between 0.47 and 0.51. In a prospective application of this model, 91% of the lesions were accurately discriminated as benign or malignant lesions.
  
  
  CONCLUSIONS
  Combination of contrast-enhanced dynamic and postcontrast-enhanced MR imaging provided accurate data for the diagnosis of malignant neoplasms of the breast. The model had an accuracy of 91% (sensitivity 90%, specificity 93%).
authors.affiliation: Department of Radiology, Kumamoto Rousai Hospital, Yatsushiro City, Japan.
authors.forename: O
authors.initials: O
authors.lastname: Ikeda
authors.forename: Y
authors.initials: Y
authors.lastname: Yamashita
authors.forename: S
authors.initials: S
authors.lastname: Morishita
authors.forename: T
authors.initials: T
authors.lastname: Kido
authors.forename: M
authors.initials: M
authors.lastname: Kitajima
authors.forename: K
authors.initials: K
authors.lastname: Okamura
authors.forename: S
authors.initials: S
authors.lastname: Fukuda
authors.forename: M
authors.initials: M
authors.lastname: Takahashi
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology; D016009:Chi-Square Distribution; D003287:Contrast Media; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D016015:Logistic Models; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D011446:Prospective Studies; D012189:Retrospective Studies; D012680:Sensitivity and Specificity
chemical_list: D003287:Contrast Media