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Update on Breast Cancer Detection Using Comb-Push Ultrasound Shear Elastography.

Publication ,  Journal Article
Denis, M; Bayat, M; Mehrmohammadi, M; Gregory, A; Song, P; Whaley, DH; Pruthi, S; Chen, S; Fatemi, M; Alizad, A
Published in: IEEE transactions on ultrasonics, ferroelectrics, and frequency control
September 2015

In this work, tissue stiffness estimates are used to differentiate between benign and malignant breast masses in a group of pre-biopsy patients. The rationale is that breast masses are often stiffer than healthy tissue; furthermore, malignant masses are stiffer than benign masses. The comb-push ultrasound shear elastography (CUSE) method is used to noninvasively assess a tissue's mechanical properties. CUSE utilizes a sequence of simultaneous multiple laterally spaced acoustic radiation force (ARF) excitations and detection to reconstruct the region of interest (ROI) shear wave speed map, from which a tissue stiffness property can be quantified. In this study, the tissue stiffnesses of 73 breast masses were interrogated. The mean shear wave speeds for benign masses (3.42 ± 1.32 m/s) were lower than malignant breast masses (6.04 ± 1.25 m/s). These speed values correspond to higher stiffness in malignant breast masses (114.9 ± 40.6 kPa) than benign masses (39.4 ± 28.1 kPa and p <; 0.001), when tissue elasticity is quantified by Young's modulus. A Young's modulus >83 kPa is established as a cut-off value for differentiating between malignant and benign suspicious breast masses, with a receiver operating characteristic curve (ROC) of 89.19% sensitivity, 88.69% specificity, and 0.911 for the area under the curve (AUC).

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Published In

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

DOI

EISSN

1525-8955

ISSN

0885-3010

Publication Date

September 2015

Volume

62

Issue

9

Start / End Page

1644 / 1650

Related Subject Headings

  • ROC Curve
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Elasticity Imaging Techniques
  • Breast Neoplasms
  • Acoustics
  • 51 Physical sciences
  • 40 Engineering
  • 09 Engineering
 

Citation

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Denis, M., Bayat, M., Mehrmohammadi, M., Gregory, A., Song, P., Whaley, D. H., … Alizad, A. (2015). Update on Breast Cancer Detection Using Comb-Push Ultrasound Shear Elastography. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 62(9), 1644–1650. https://doi.org/10.1109/tuffc.2015.007043
Denis, Max, Mahdi Bayat, Mohammad Mehrmohammadi, Adriana Gregory, Pengfei Song, Dana H. Whaley, Sandhya Pruthi, Shigao Chen, Mostafa Fatemi, and Azra Alizad. “Update on Breast Cancer Detection Using Comb-Push Ultrasound Shear Elastography.IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 62, no. 9 (September 2015): 1644–50. https://doi.org/10.1109/tuffc.2015.007043.
Denis M, Bayat M, Mehrmohammadi M, Gregory A, Song P, Whaley DH, et al. Update on Breast Cancer Detection Using Comb-Push Ultrasound Shear Elastography. IEEE transactions on ultrasonics, ferroelectrics, and frequency control. 2015 Sep;62(9):1644–50.
Denis, Max, et al. “Update on Breast Cancer Detection Using Comb-Push Ultrasound Shear Elastography.IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 62, no. 9, Sept. 2015, pp. 1644–50. Epmc, doi:10.1109/tuffc.2015.007043.
Denis M, Bayat M, Mehrmohammadi M, Gregory A, Song P, Whaley DH, Pruthi S, Chen S, Fatemi M, Alizad A. Update on Breast Cancer Detection Using Comb-Push Ultrasound Shear Elastography. IEEE transactions on ultrasonics, ferroelectrics, and frequency control. 2015 Sep;62(9):1644–1650.

Published In

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

DOI

EISSN

1525-8955

ISSN

0885-3010

Publication Date

September 2015

Volume

62

Issue

9

Start / End Page

1644 / 1650

Related Subject Headings

  • ROC Curve
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Elasticity Imaging Techniques
  • Breast Neoplasms
  • Acoustics
  • 51 Physical sciences
  • 40 Engineering
  • 09 Engineering