Multi-parameter Sub-Hertz Analysis of Viscoelasticity With a Quality Metric for Differentiation of Breast Masses

Mahdi Bayat, Alireza Nabavizadeh, Rohit Nayak, Jeremy M. Webb, Adriana V. Gregory, Duane D. Meixner, Robert T. Fazzio, Michael F. Insana, Azra Alizad, Mostafa Fatemi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


We applied sub-Hertz analysis of viscoelasticity (SAVE) to differentiate breast masses in pre-biopsy patients. Tissue response during external ramp-and-hold stress was ultrasonically detected. Displacements were used to acquire tissue viscoelastic parameters. The fast instantaneous response and slow creep-like deformations were modeled as the response of a linear standard solid from which viscoelastic parameters were estimated. These parameters were used in a multi-variable classification framework to differentiate malignant from benign masses identified by pathology. When employing all viscoelasticity parameters, SAVE resulted in 71.43% accuracy in differentiating lesions. When combined with ultrasound features and lesion size, accuracy was 82.24%. Adding a quality metric based on uniaxial motion increased the accuracy to 81.25%. When all three were combined with SAVE, accuracy was 91.3%. These results confirm the utility of SAVE as a robust ultrasound-based diagnostic tool for non-invasive differentiation of breast masses when used as stand-alone biomarkers or in conjunction with ultrasonic features.

Original languageEnglish (US)
Pages (from-to)3393-3403
Number of pages11
JournalUltrasound in Medicine and Biology
Issue number12
StatePublished - Dec 2020


  • Breast lesion
  • Creep
  • Retardation time
  • Ultrasound
  • Viscoelasticity

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Biophysics
  • Acoustics and Ultrasonics


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