title: Magnetic resonance (MR) differential diagnosis of breast tumors using apparent diffusion coefficient (ADC) on 1.5-T.
abstract: To review the published reports concerning the apparent diffusion coefficient (ADC) value evaluation for the differentiation between malignant and benign breast tumors, articles were searched with the inclusion criteria: (a) a 1.5-T unit was used; (b) the diagnostic criteria were clearly stated; (c) diffusion-weighted images (DWIs) were obtained, and ADC value was calculated; (d) ADC values of breast tumors were reported with mean +/- standard deviation (SD). Meta-analysis from 12 articles revealed that the pooled sensitivity and specificity were 0.89 (95% confidence interval [CI], 0.85-0.91) and 0.77 (95% CI, 0.69-0.84), respectively, and that only the maximum b factor correlated with the mean ADC values of malignant and benign tumors, and the noncancerous breast tissue (P< 0.05,P < 0.01,P< 0.05, respectively). In conclusion, ADC evaluation is useful for the differentiation between malignant and benign breast tumors.
authors.affiliation: Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Hospital, Gunma, Japan. tyoshito@showa.gunma-u.ac.jp
authors.forename: Yoshito
authors.initials: Y
authors.lastname: Tsushima
authors.forename: Ayako
authors.initials: A
authors.lastname: Takahashi-Taketomi
authors.forename: Keigo
authors.initials: K
authors.lastname: Endo
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology; D003627:Data Interpretation, Statistical; D003937:Diagnosis, Differential; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans