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Initial Clinical Experience with Stationary Digital Breast Tomosynthesis.

Publication ,  Journal Article
Lee, YZ; Puett, C; Inscoe, CR; Jia, B; Kim, C; Walsh, R; Yoon, S; Kim, SJ; Kuzmiak, CM; Zeng, D; Lu, J; Zhou, O
Published in: Acad Radiol
October 2019

RATIONALE AND OBJECTIVES: A linear array of carbon nanotube-enabled x-ray sources allows for stationary digital breast tomosynthesis (sDBT), during which projection views are collected without the need to move the x-ray tube. This work presents our initial clinical experience with a first-generation sDBT device. MATERIALS AND METHODS: Following informed consent, women with a "suspicious abnormality" (Breast Imaging Reporting and Data System 4), discovered by digital mammography and awaiting biopsy, were also imaged by the first generation sDBT. Four radiologists participated in this paired-image study, completing questionnaires while interpreting the mammograms and sDBT image stacks. Areas under the receiver operating characteristic curve were used to measure reader performance (likelihood of correctly identifying malignancy based on pathology as ground truth), while a multivariate analysis assessed preference, as readers compared one modality to the next when interpreting diagnostically important image features. RESULTS: Findings from 43 women were available for analysis, in whom 12 cases of malignancy were identified by pathology. The mean areas under the receiver operating characteristic curve was significantly higher (p < 0.05) for sDBT than mammography for all breast density categories and breast thicknesses. Additionally, readers preferred sDBT over mammography when evaluating mass margins and shape, architectural distortion, and asymmetry, but preferred mammography when characterizing microcalcifications. CONCLUSION: Readers preferred sDBT over mammography when interpreting soft-tissue breast features and were diagnostically more accurate using images generated by sDBT in a Breast Imaging Reporting and Data System 4 population. However, the findings also demonstrated the need to improve microcalcification conspicuity, which is guiding both technological and image-processing design changes in future sDBT devices.

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Published In

Acad Radiol

DOI

EISSN

1878-4046

Publication Date

October 2019

Volume

26

Issue

10

Start / End Page

1363 / 1372

Location

United States

Related Subject Headings

  • Radiographic Image Enhancement
  • Nuclear Medicine & Medical Imaging
  • Nanotubes, Carbon
  • Multimodal Imaging
  • Middle Aged
  • Mammography
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Breast Neoplasms
 

Citation

APA
Chicago
ICMJE
MLA
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Lee, Y. Z., Puett, C., Inscoe, C. R., Jia, B., Kim, C., Walsh, R., … Zhou, O. (2019). Initial Clinical Experience with Stationary Digital Breast Tomosynthesis. Acad Radiol, 26(10), 1363–1372. https://doi.org/10.1016/j.acra.2018.12.026
Lee, Yueh Z., Connor Puett, Christina R. Inscoe, Beilin Jia, Connie Kim, Ruth Walsh, Sora Yoon, et al. “Initial Clinical Experience with Stationary Digital Breast Tomosynthesis.Acad Radiol 26, no. 10 (October 2019): 1363–72. https://doi.org/10.1016/j.acra.2018.12.026.
Lee YZ, Puett C, Inscoe CR, Jia B, Kim C, Walsh R, et al. Initial Clinical Experience with Stationary Digital Breast Tomosynthesis. Acad Radiol. 2019 Oct;26(10):1363–72.
Lee, Yueh Z., et al. “Initial Clinical Experience with Stationary Digital Breast Tomosynthesis.Acad Radiol, vol. 26, no. 10, Oct. 2019, pp. 1363–72. Pubmed, doi:10.1016/j.acra.2018.12.026.
Lee YZ, Puett C, Inscoe CR, Jia B, Kim C, Walsh R, Yoon S, Kim SJ, Kuzmiak CM, Zeng D, Lu J, Zhou O. Initial Clinical Experience with Stationary Digital Breast Tomosynthesis. Acad Radiol. 2019 Oct;26(10):1363–1372.
Journal cover image

Published In

Acad Radiol

DOI

EISSN

1878-4046

Publication Date

October 2019

Volume

26

Issue

10

Start / End Page

1363 / 1372

Location

United States

Related Subject Headings

  • Radiographic Image Enhancement
  • Nuclear Medicine & Medical Imaging
  • Nanotubes, Carbon
  • Multimodal Imaging
  • Middle Aged
  • Mammography
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Breast Neoplasms