This study is investigating whether automated whole breast ultrasound can improve detection of cancer in breast cancer screening when used as a supplement to mammography or as a supplement to digital breast tomosynthesis
Study Type
OBSERVATIONAL
Enrollment
124
digital breast tomosynthesis technology
Automated Whole Breast Ultrasound
University of Washington Seattle Cancer Care Alliance
Seattle, Washington, United States
Abnormal interpretation rate
Abnormal interpretation rates for each modality (FFDM and DBT+V-Preview, with and without ABUS+V-Preview).
Time frame: One Year
Sensitivity
Sensitivity will be assessed for each imaging modality: FFDM and DBT+V-Preview, with and without ABUS
Time frame: One Year
Specificity
Specificity will be assessed for each imaging modality: FFDM and DBT+V-Preview, with and without ABUS
Time frame: One Year
Cancer Rate
Cancer Rate will be assessed for each imaging modality: FFDM and DBT+V-Preview, with and without ABUS
Time frame: One Year
Positive Predictive Value
Positive Predictive Value will be assessed for each imaging modality: FFDM and DBT+V-Preview, with and without ABUS
Time frame: One Year
Negative Predictive Value
Negative Predictive Value will be assessed for each imaging modality: FFDM and DBT+V-Preview, with and without ABUS
Time frame: One Year
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