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TH‐E‐L100J‐06: Detection of Breast Cancer with Ultrasound Tomography

  • N. Duric
  • , P. Littrup
  • , C. Glide
  • , C. li
  • , L. Huang
  • , R. Pratt
  • , Y. Quan
  • , F. Simonetti

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To investigate the use of operator independent ultrasound tomography for breast imaging with the goal of differentiating breast masses. Method and Materials: A series of in‐vitro and in‐vivo experiments were carried out using a recently developed prototype based on the principles of ultrasound tomography. To characterize the performance of the prototype, an anthropomorphic breast tissue phantom with embedded inclusions was imaged to yield reflection and transmission (i.e. sound speed and attenuation) tomograms. The in‐vivo performance of the prototype was assessed by imaging 125 patients with suspicious mammograms. Each data set yielded ∼45 to ∼75 tomograms covering the whole breast volume. Masses were identified by biopsy and their locations inferred from conventional mammography and ultrasound exams. These data were compared with the ultrasound tomograms to evaluate the in vivo detection capabilities of the prototype. Results: Our techniques successfully demonstrated tomographic imaging of breast architecture in both reflection and transmission imaging. Furthermore, phantom studies indicated that masses as small as 6 mm in size were detected in all imaging tomograms. In addition, statistically significant differences were observed between the sound speed and attenuation measurements of the benign inclusions and cancerous masses. The in vivo data suggested that ∼90% of masses >15mm in size were routinely detected including cancers as small as 8 mm in size. Overall, reflection, sound speed, and attenuation imaging of breast masses were demonstrated both in vitro and in vivo. Conclusion: Operator‐independent whole‐breast imaging and the detection of breast masses are feasible using ultrasound tomography techniques. Our approach has the potential to provide a cost‐effective, non‐invasive, and non‐ionizing means of evaluating breast masses, leading to more routine analysis and evaluation of treatment response.

Original languageEnglish
Pages (from-to)2646
Number of pages1
JournalMedical Physics
Volume34
Issue number6
DOIs
StatePublished - Jun 2007
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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