title: Application of computed aided detection in breast masses diagnosis.
abstract: Breast cancer is the most widespread cancer in women. The life-time risk of a woman developing this disease has been established as one in eight. Currently mammography is a standard method and could decrease breast cancer mortality. Unfortunately, negative mammograms don't exclude cancer. The sensitivity of mammography ranges from approximately 70% to 90% and it should be higher.
  
  
  METHODS
  The sample contained 255 cases taken from Imaging Center of Imam Khomaini Hospital. Bilateral mammograms in both craniocaudal and mediolateral oblique projections were used. Two experienced Radiologists reviewed images before and after using CAD system. Tumors (including malignant and benign) and normal breast tissues were confirmed by histological correlation.
  
  
  RESULTS
  Of 255 cases 92 were not recommended for further work-up. Of 163 cases 90 were normal mass, 23 malignant tumors, 16 benign tumors and 22 cysts were detected by CAD system. The remaining cases were finalized only by biopsy.
  
  
  CONCLUSIONS
  CAD could be utilized for breast mass detection. This is a practical technique with low cost.
authors.affiliation: Technology of Radiology and Radiotherapy Department, Allied Health Sciences School, Tehran, Iran. changizi@sina.tums.ac.ir
authors.forename: V
authors.initials: V
authors.lastname: Changizi
authors.forename: M
authors.initials: M
authors.lastname: Giti
authors.forename: A Arab
authors.initials: AA
authors.lastname: Kheradmand
mesh_terms: D000465:Algorithms; D001940:Breast / Q000473:pathology*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008327:Mammography; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012680:Sensitivity and Specificity