Abstract Archives of the RSNA, 2012
SSJ01-04
Clinical Reader Study Examining the Performance of Mammography and Automatic Breast Ultrasound in Breast Cancer Screening
Scientific Formal (Paper) Presentations
Presented on November 27, 2012
Presented as part of SSJ01: Breast Imaging (Ultrasound)
Maryellen L. Giger PhD, Presenter: Stockholder, Hologic, Inc
Shareholder, Quantitative Insights, Inc
Royalties, Hologic, Inc
Royalties, General Electric Company
Royalties, MEDIAN Technologies
Royalties, Riverain Medical
Royalties, Mitsubishi Corporation
Royalties, Toshiba Corporation
Researcher, Koninklijke Philips Electronics NV
Researcher, U-Systems, Inc
Dave P. Miller, Abstract Co-Author: Employee, ICON plc
Jeremy Bancroft Brown, Abstract Co-Author: Nothing to Disclose
Marc F. Inciardi MD, Abstract Co-Author: Investigator, U-Systems, Inc
Advisor, U-Systems, Inc
Consultant, Hologic, Inc
Charles Edgar Metz PhD, Abstract Co-Author: Royalties, Abbott Laboratories
Royalties, General Electric Company
Royalties, Hologic, Inc
Royalties, Median Technologies
Royalties, Mitsubishi Corporation
Royalties, Riverain Medical
Royalties, Toshiba Corporation
Research funding, U-Systems, Inc
Consultant, VuCOMP, Inc
Yulei Jiang PhD, Abstract Co-Author: Research funded, U-Systems, Inc
Consultant, U-Systems, Inc
Rachel Frydman Brem MD, Abstract Co-Author: Board of Directors, iCAD, Inc
Board of Directors, Dilon Technologies LLC
Stock options, iCAD, Inc
Stockholder, Dilon Technologies LLC
Consultant, U-Systems, Inc
Consultant, Dilon Technologies LLC
Consultant, Dune Medical Devices Ltd
Robert M. Nishikawa PhD, Abstract Co-Author: Shareholder, Hologic, Inc
Royalties, Hologic, Inc
Royalties, Mitsubishi Corporation
Royalties, MEDIAN Technologies
Royalties, Toshiba Corporation
Royalties, Riverain Medical
Alexandra V. Edwards, Abstract Co-Author: Nothing to Disclose
John Papaioannou MSc, Abstract Co-Author: Stockholder, Hologic, Inc
To conduct a multi-reader, multi-case Clinical Reader Study to evaluate the use of automated breast ultrasound (ABUS) in conjunction with mammography (XRM) in the breast cancer screening of women with dense breasts
The IRB-approved, sequential design Reader Study included a cancer-enriched set of screening XRM and ABUS exams from asymptomatic women with breast density BI-RADS 3 or 4. Readers were 17 MQSA-qualified radiologists who first interpreted XRM Alone, and then interpreted the combined XRM+ABUS. The primary analysis was performed on 164 cases: 133 non-cancers and 31 biopsy-proven cancers that had been clinically mammographically-screened as negative (BI-RADS 1 or 2). ROC analysis assessed each Reader’s interpretation of a screening mammogram exam alone (XRM) vs. the same Reader’s interpretation of the same screening mammogram paired with an ABUS exam (XRM+ABUS). Using the area under the ROC curve (AUC), Readers' performance with XRM alone was compared to their performance with XRM+ABUS.
Mean AUC across all Readers was 0.604 (95%CI: 0.535, 0.672) for XRM Alone and 0.747 (CI: 0.671, 0.822) for XRM+ABUS, yielding a statistically significant improvement in AUC of 0.143 (CI: 0.074, 0.212; p<0.001). Using a BI-RADS cut point of 3, the overall sensitivity for these cancers across all Readers was 38.8% for XRM Alone and 63.1% for XRM+ABUS, yielding an increase in sensitivity of 23.3% (CI: 10.7%, 37.9%; p<0.002). The overall specificity across all Readers was 78.0% for XRM Alone and 76.0% for XRM+ABUS, yielding a change in specificity of -2.0% (CI: -7.7%, 4.3%; p=0.518). Many of the additional cancers found with this multi-modal screening paradigm were invasive, node-negative breast cancers.
Results from the Reader study demonstrated that use of screening mammography with ABUS provides a statistically significant improvement in a Reader’s ability to detect mammography-negative breast cancers in women with >50% parenchymal breast density, as compared to mammography alone, and that this statistically significant gain in sensitivity was not accompanied by a statistically significant reduction in specificity.
Addition of ABUS to screening mammography is expected to yield a benefit to patients with dense breast tissue by providing earlier detection of breast cancers that might be missed by mammography.
Giger, M,
Miller, D,
Bancroft Brown, J,
Inciardi, M,
Metz, C,
Jiang, Y,
Brem, R,
Nishikawa, R,
Edwards, A,
Papaioannou, J,
Clinical Reader Study Examining the Performance of Mammography and Automatic Breast Ultrasound in Breast Cancer Screening. Radiological Society of North America 2012 Scientific Assembly and Annual Meeting, November 25 - November 30, 2012 ,Chicago IL.
http://archive.rsna.org/2012/12029472.html