title: Whole Breast Ultrasound: Comparison of the Visibility of Suspicious Lesions with Automated Breast Volumetric Scanning Versus Hand-Held Breast Ultrasound.
abstract: OBJECTIVE
  To assess how well radiologists visualize relevant features of lesions seen with automated breast volumetric scanning (ABVS) in comparison to hand-held breast ultrasound in women going to breast biopsy.
  
  
  METHODS
  Twenty-five subjects were recruited from women who were scheduled to undergo a breast biopsy for at least one Breast Imaging-Reporting and Data System four or five lesion identified in a diagnostic setting. In this institutional review board-approved study, the subjects underwent imaging of the breast(s) of concern using a dedicated system that allowed both hand-held breast ultrasound and ABVS. Five experienced breast radiologists reviewed the 30 lesions in 25 subjects in a reader study. Each reader was asked to specify the lesion type, size, imaging features, Breast Imaging-Reporting and Data System, and suspicion of malignancy and to compare the lesion characteristics of shape and margins between the two modalities.
  
  
  RESULTS
  Seven (23.3%) masses were malignant and 23 (76.4%) were benign. Across all lesions regardless of size or final pathology, there was no significant difference in sensitivity or specificity (P > .15) between the two modalities. For malignant lesions, the reader visualization confidence scores between the two ultrasound modalities were not significantly different (P > .1). However, analysis for nonmalignant cases showed a statistically significant increase in reader visualization confidence in lesion shape and margins (P < .001).
  
  
  CONCLUSIONS
  Radiologists showed increased confidence in visualization of benign masses and equal confidence in suspicious masses with ABVS imaging. This information could help decrease the need for additional hand-held imaging after automated whole breast ultrasound.
authors: Department of Radiology, University of North Carolina, Physicians Office Building, 170 Manning Drive, Room No. 118, Chapel Hill, NC 27599-7510. Electronic address: cherie_kuzmiak@med.unc.edu.
authors: Cherie M
authors: CM
authors: Kuzmiak
authors: Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Korea.
authors: Eun Y
authors: EY
authors: Ko
authors: Department of Family Medicine, University of North Carolina, Chapel Hill, North Carolina.
authors: Laura A
authors: LA
authors: Tuttle
authors: Lineberger Comprehensive Cancer Center, NC TraCS Institute, University of North Carolina, Chapel Hill, North Carolina.
authors: Doreen
authors: D
authors: Steed
authors: Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina.
authors: Donglin
authors: D
authors: Zeng
authors: Department of Radiology, Duke University Medical Center, Durham, North Carolina.
authors: Sora C
authors: SC
authors: Yoon
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008875:Middle Aged; D015588:Observer Variation; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016217:Ultrasonography, Mammary / Q000379:methods*
keywords: Whole breast ultrasound; automated breast volumetric scanning; breast cancer; diagnostic imaging; hand-held ultrasound