title: Detectability of breast lesions under the nipple using an automated breast volume scanner: comparison with handheld ultrasonography.
abstract: OBJECTIVE
  The aims of this study were to investigate the visualization rate for the mammary gland under the nipple with automated breast ultrasonography (US) and to compare the detectability of breast lesions under the nipple with automated breast imaging and handheld US imaging.
  
  
  METHODS
  A total of 60 patients underwent automated breast US (ABVS; Siemens Medical Solutions, Mountain View, CA, USA) and handheld US. The scans of the four segments of the breast included sequential scans in the upper-outer (C), lower-outer (D), lower-inner (B), and upper-inner (A) regions.
  
  
  RESULTS
  The visualization rates for the mammary gland under the nipple were 72% (86/120 breasts) in A-scanning, 84% (101/120) in B-scanning, 78% (93/120) in C-scanning, and 80% (96/120) in D-scanning. Interscanning mode differences were statistically significant only for A-scanning and B-scanning (P = 0.02). Eventually, 98% (117/120 breasts) of the breasts examined were rated as "visualized." In 14 of the 15 patients with breast lesions under the nipple, the lesions were detectable with handheld US and the ABVS. In the other patient, the lesion was not detectable on handheld US but was detected on ABVS imaging.
  
  
  CONCLUSIONS
  ABVS imaging is by no means inferior to handheld US for detecting breast lesions under the nipple.
authors: Division of Ultrasonographic Examination, Kameda Medical Center, Kamogawa, Japan.
authors: Sachiko
authors: S
authors: Isobe
authors: Mitsuhiro
authors: M
authors: Tozaki
authors: Miki
authors: M
authors: Yamaguchi
authors: Yukari
authors: Y
authors: Ogawa
authors: Kanako
authors: K
authors: Homma
authors: Rie
authors: R
authors: Satomi
authors: Masahiro
authors: M
authors: Saito
authors: Chanwoong
authors: C
authors: Joo
authors: Eisuke
authors: E
authors: Fukuma
mesh_terms: D000328:Adult; D000368:Aged; D016477:Artifacts; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D008875:Middle Aged; D009558:Nipples / Q000000981:diagnostic imaging; D010363:Pattern Recognition, Automated / Q000379:methods*; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D016217:Ultrasonography, Mammary / Q000295:instrumentation* / Q000379:methods*; D055815:Young Adult