title: Acoustic Radiation Force Impulse Technology in the Differential Diagnosis of Solid Breast Masses with Different Sizes: Which Features Are Most Efficient?
abstract: OBJECTIVE
  To evaluate diagnostic performance of acoustic radiation force impulse (ARFI) technology for solid breast masses with different sizes and determine which features are most efficient.
  
  
  METHODS
  271 solid breast masses in 242 women were examined with ARFI, and their shear wave velocities (SWVs), Virtual Touch tissue imaging (VTI) patterns, and area ratios (ARs) were measured and compared with their histopathological outcomes. Receiver operating characteristic curves (ROC) were calculated to assess diagnostic performance of ARFI for small masses (6-14 mm) and big masses (15-30 mm).
  
  
  RESULTS
  SWV of mass was shown to be positively associated with mass size (P < 0.001). For small masses, area under ROC (Az) of AR was larger than that of SWV (P < 0.001) and VTI pattern (P < 0.001); no significant difference was found between Az of SWV and that of VTI pattern (P = 0.906). For big masses, Az of VTI pattern was less than that of SWV (P = 0.008) and AR (P = 0.002); no significant difference was identified between Az of SWV and that of AR (P = 0.584).
  
  
  CONCLUSIONS
  For big masses, SWV and AR are both efficient measures; nevertheless, for small masses, AR seems to be the best feature.
authors.affiliation: Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Min
authors.initials: M
authors.lastname: Bai
authors.affiliation: Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Hui-Ping
authors.initials: HP
authors.lastname: Zhang
authors.affiliation: Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Jin-Fang
authors.initials: JF
authors.lastname: Xing
authors.affiliation: Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Qiu-Sheng
authors.initials: QS
authors.lastname: Shi
authors.affiliation: Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Ji-Ying
authors.initials: JY
authors.lastname: Gu
authors.affiliation: Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Fan
authors.initials: F
authors.lastname: Li
authors.affiliation: Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Hui-Li
authors.initials: HL
authors.lastname: Chen
authors.affiliation: Department of Pathology, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Xue-Mei
authors.initials: XM
authors.lastname: Zhang
authors.affiliation: School of Mathematics and Science, Shanghai Normal University, Shanghai 200234, China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Fang
authors.affiliation: Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China.
authors.forename: Lian-Fang
authors.initials: LF
authors.lastname: Du
mesh_terms: D000328:Adult; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D018270:Carcinoma, Ductal, Breast / Q000175:diagnosis / Q000473:pathology; D003937:Diagnosis, Differential; D054459:Elasticity Imaging Techniques / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D012372:ROC Curve; D014584:User-Computer Interface