title: [Automated breast volume scanning in the diagnosis of breast intraductal papilloma].
abstract: OBJECTIVE
  To investigate the value of automated breast volume scanning (ABVS) in the diagnosis of breast intraductal papilloma (IDP).
  
  
  METHODS
  Totally 239 lesions in 213 women who were scheduled for open biopsy were investigated in this study. The patients underwent both ABVS and conventional ultrasound (US). According to the imaging diagnostic standards of IDP, the diagnostic accuracy for ABVS was calculated, and then compared with US, using histopathological examination as the gold standard.
  
  
  RESULTS
  Among the 239 breast lesions studied, 85 were pathologically proved to be malignancies and 154 benign lesions, among which there were 26 cases of IDP. ABVS found 41 cases of IDP (17.2%), with the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy being 88.5%, 91.5%, 56.1%, 98.5%, and 91.2%, respectively. In contrast, US found 32 cases of IDP (13.4%), with the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy being 73.1%, 93.9%, 59.4%, 96.6%, and 91.6%, respectively.
  
  
  CONCLUSIONS
  ABVS coronal images can better display the structures of dilated lactiferous ducts and the intraluminal echoes, increase the diagnostic accuracy of IDP, and thus provide more information for the diagnosis and differential diagnosis of IDP.
authors.affiliation: Department of Ultrasound, PUMC Hospital, CAMS and PUMC, Beijing 100730, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Wang
authors.affiliation: Department of Ultrasound, PUMC Hospital, CAMS and PUMC, Beijing 100730, China.
authors.forename: Qing-li
authors.initials: QL
authors.lastname: Zhu
authors.affiliation: Department of Ultrasound, PUMC Hospital, CAMS and PUMC, Beijing 100730, China.
authors.forename: Yu-xin
authors.initials: YX
authors.lastname: Jiang
authors.affiliation: Department of Ultrasound, PUMC Hospital, CAMS and PUMC, Beijing 100730, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Dai
authors.affiliation: Department of Ultrasound, PUMC Hospital, CAMS and PUMC, Beijing 100730, China.
authors.forename: Hong-yan
authors.initials: HY
authors.lastname: Wang
authors.affiliation: Department of Ultrasound, PUMC Hospital, CAMS and PUMC, Beijing 100730, China.
authors.forename: Shan-shan
authors.initials: SS
authors.lastname: You
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007089:Image Enhancement; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008875:Middle Aged; D018300:Papilloma, Intraductal / Q000175:diagnosis*; D012680:Sensitivity and Specificity; D055815:Young Adult