Woo Jung Choi MD, Presenter: Nothing to Disclose

Seonah Jang, Abstract Co-Author: Nothing to Disclose

Joo Hee Cha, Abstract Co-Author: Nothing to Disclose

Hak Hee Kim MD, Abstract Co-Author: Nothing to Disclose

Hee Jung Shin MD, Abstract Co-Author: Nothing to Disclose

Hyunji Kim MD, Abstract Co-Author: Nothing to Disclose

Eun Young Chae, Abstract Co-Author: Nothing to Disclose

Sun Hye Jeong MD, Abstract Co-Author: Nothing to Disclose

To retrospectively compare the accuracy and effectiveness of automated breast volume scanning (ABVS) and hand-held ultrasound (HHUS) in the detection of breast cancer in a large population group with a long-term follow-up, and to investigate whether different ultrasound systems may influence the estimation of cancer detection.  

A total of 1870 ABVS and 3706 HHUS participants, who underwent these procedures at our institute between September 2010 and August 2011, were included in this study. Cancers occurring during the study and subsequent follow-up were evaluated. The reference standard was a combination of histology and follow-up imaging (≥12 months). The diagnostic accuracy, sensitivity, specificity, and positive (PPV) and negative (NPV) predictive values were calculated with exact 95% confidence intervals.  

The recall rate was 2.89 (54/1870) for ABVS and 3.86 (143/3706) for HHUS. The diagnostic accuracy was 97.75% (95% CI, 96.9893.38) for ABVS and 96.68% (95% CI, 96.0597.23) for HHUS and this difference was statistically significant (P = 0.026). The sensitivity and specificity of ABVS and HHUS were 100% (95% CI, 73.54100), 97.74% (95% CI, 96.9698.37) and 95.45% (95% CI, 77.1699.88), 96.69% (95% CI, 96.0697.24), respectively, and the specificity showed statistical significance (P = 0.029).  

ABVS shows a comparable diagnostic performance to HHUS. We thus find that ABVS as an effective supplemental tool for mammography in breast cancer detection in a large population.

In this study, ABVS shows comparable diagnostic performance when compared with HHUS in the detection of breast cancer in a large population group with a long-term follow-up.  

Choi, W, Jang, S, Cha, J, Kim, H, Shin, H, Kim, H, Chae, E, Jeong, S, Comparison of an Automated Breast Volume Scanner and a Hand-held Ultrasound in the Detection of Breast Cancer: An Analysis of 5576 Patient Evaluations.  Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, December 1 - December 6, 2013 ,Chicago IL. http://archive.rsna.org/2013/13011684.html