Multiparametric Ultrasound for Targeting Prostate Cancer: Combining ARFI, SWEI, QUS and B-Mode.

Journal Article (Journal Article)

Diagnosing prostate cancer through standard transrectal ultrasound (TRUS)-guided biopsy is challenging because of the sensitivity and specificity limitations of B-mode imaging. We used a linear support vector machine (SVM) to combine standard TRUS imaging data with acoustic radiation force impulse (ARFI) imaging data, shear wave elasticity imaging (SWEI) data and quantitative ultrasound (QUS) midband fit data to enhance lesion contrast into a synthesized multiparametric ultrasound volume. This SVM was trained and validated using a subset of 20 patients and tested on a second subset of 10 patients. Multiparametric US led to a statistically significant improvements in contrast, contrast-to-noise ratio (CNR) and generalized CNR (gCNR) when compared with standard TRUS B-mode and SWEI; in contrast and CNR when compared with MF; and in CNR when compared with ARFI. ARFI, MF and SWEI also outperformed TRUS B-mode in contrast, with MF outperforming B-mode in CNR and gCNR as well. ARFI, although only yielding statistically significant differences in contrast compared with TRUS B-mode, captured critical qualitative features for lesion identification. Multiparametric US enhanced lesion visibility metrics and is a promising technique for targeted TRUS-guided prostate biopsy in the future.

Full Text

Duke Authors

Cited Authors

  • Morris, DC; Chan, DY; Lye, TH; Chen, H; Palmeri, ML; Polascik, TJ; Foo, W-C; Huang, J; Mamou, J; Nightingale, KR

Published Date

  • December 2020

Published In

Volume / Issue

  • 46 / 12

Start / End Page

  • 3426 - 3439

PubMed ID

  • 32988673

Pubmed Central ID

  • PMC7606559

Electronic International Standard Serial Number (EISSN)

  • 1879-291X

Digital Object Identifier (DOI)

  • 10.1016/j.ultrasmedbio.2020.08.022


  • eng

Conference Location

  • England