Breast imaging with SoftVue: initial clinical evaluation

Neb Duric; Peter Littrup; Cuiping Li; Olivier Roy; Steven Schmidt; Xiaoyang Cheng; John Seamans; Andrea Wallen; Lisa Bey-Knight

doi:10.1117/12.2043768

20 March 2014 Breast imaging with SoftVue: initial clinical evaluation

Neb Duric, Peter Littrup, Cuiping Li, Olivier Roy, Steven Schmidt, Xiaoyang Cheng, John Seamans, Andrea Wallen, Lisa Bey-Knight

Author Affiliations +

Proceedings Volume 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography; 90400V (2014) https://doi.org/10.1117/12.2043768
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

We describe the clinical performance of SoftVue, a breast imaging device based on the principles of ultrasound tomography. Participants were enrolled in an IRB-approved study at Wayne State University, Detroit, MI. The main research findings indicate that SoftVue is able to image the whole uncompressed breast up to cup size H. Masses can be imaged in even the densest breasts with the ability to discern margins and mass shapes. Additionally, it is demonstrated that multi-focal disease can also be imaged. The system was also tested in its research mode for additional imaging capabilities. These tests demonstrated the potential for generating tissue stiffness information for the entire breast using through-transmission data. This research capability differentiates SoftVue from the other whole breast systems on the market. It is also shown that MRI-like images can be generated using alternative processing of the echo data. Ongoing research is focused on validating and quantifying these findings in a larger sample of study participants and quantifying SoftVue's ability to differentiate benign masses from cancer.

Citation Download Citation

Neb Duric, Peter Littrup, Cuiping Li, Olivier Roy, Steven Schmidt, Xiaoyang Cheng, John Seamans, Andrea Wallen, and Lisa Bey-Knight "Breast imaging with SoftVue: initial clinical evaluation", Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 90400V (20 March 2014); https://doi.org/10.1117/12.2043768

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