title: Comparison between automated breast volume scanner (ABVS) versus hand-held ultrasound as a second look procedure after magnetic resonance imaging.
abstract: OBJECTIVE
  To evaluate the agreement between automated breast volume scanner (ABVS) and conventional ultrasound (US) as a second-look (SL) tool for assessing additional findings found on MRI.
  
  
  METHODS
  Over a 7-month period, we prospectively assigned to SL-US and SL-ABVS all patients undergoing 1.5 T breast MRI in whom additional findings were found. Five experienced breast radiologists independently interpreted SL-US and SL-ABVS in blinded sessions to evaluate the detection rate of MRI findings and assign them to BI-RADS categories. We calculated the agreement between the two methods in assessing MRI findings as significant (BI-RADS 3-5) versus not significant (BI-RADS 1-2), as well as their cancer detection rate.
  
  
  RESULTS
  In a population of 131 patients, SL-ABVS and SL-US showed a comparable detection rate of MRI findings (69.3 vs. 71.5%) (p > 0.05; McNemar test), with an almost perfect agreement in assessing them as significant or not (k = 0.94). This translated into a comparably high cancer detection rate (83.8% for SL-ABVS vs. 87.0% for SL-US). Only 1/31 cancers was missed by SL-ABVS.
  
  
  CONCLUSIONS
  SL-ABVS and SL-US are nearly equivalent in assessing the significance of MRI findings, leading to a comparable cancer detection rate. SL-ABVS has the potential to replace SL-US in the SL scenario.
  
  
  CONCLUSIONS
  • SL-ABVS shows almost perfect agreement with SL-US in assessing MRI findings. • SL-ABVS shows a comparably high cancer detection rate with respect to SL-US. • SL-ABVS has the potential to replace SL-US in evaluating additional MRI findings.
authors.affiliation: Institute of Diagnostic Radiology, Department of Medical and Biological Sciences, University of Udine, Azienda Ospedaliero-Universitaria, 'S. Maria della Misericordia', Udine, Italy.
authors.forename: Rossano
authors.initials: R
authors.lastname: Girometti
authors.affiliation: Institute of Diagnostic Radiology, Department of Medical and Biological Sciences, University of Udine, Azienda Ospedaliero-Universitaria, 'S. Maria della Misericordia', Udine, Italy. martina.zanotel@gmail.com.
authors.forename: Martina
authors.initials: M
authors.lastname: Zanotel
authors.affiliation: Institute of Diagnostic Radiology, Department of Medical and Biological Sciences, University of Udine, Azienda Ospedaliero-Universitaria, 'S. Maria della Misericordia', Udine, Italy.
authors.forename: Viviana
authors.initials: V
authors.lastname: Londero
authors.affiliation: Institute of Diagnostic Radiology, Department of Medical and Biological Sciences, University of Udine, Azienda Ospedaliero-Universitaria, 'S. Maria della Misericordia', Udine, Italy.
authors.forename: Massimo
authors.initials: M
authors.lastname: Bazzocchi
authors.affiliation: Institute of Diagnostic Radiology, Department of Medical and Biological Sciences, University of Udine, Azienda Ospedaliero-Universitaria, 'S. Maria della Misericordia', Udine, Italy.
authors.forename: Chiara
authors.initials: C
authors.lastname: Zuiani
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods; D008875:Middle Aged; D011446:Prospective Studies; D014463:Ultrasonography / Q000379:methods*; D016217:Ultrasonography, Mammary / Q000379:methods*
keywords: Automated breast volume scanner; Breast cancer; Breast ultrasound; Magnetic resonance imaging; Second-look