Multiparametric dynamic contrast-enhanced ultrasound imaging of prostate cancer

R.R. Wildeboer, A.W. Postema, L. Demi, M.P.J. Kuenen, W.H. Wijkstra, M.M. Mischi

Research output: Contribution to journalArticleAcademicpeer-review

25 Citations (Scopus)
96 Downloads (Pure)

Abstract

Objectives: The aim of this study is to improve the accuracy of dynamic contrast-enhanced ultrasound (DCE-US) for prostate cancer (PCa) localization by means of a multiparametric approach. Materials and Methods: Thirteen different parameters related to either perfusion or dispersion were extracted pixel-by-pixel from 45 DCE-US recordings in 19 patients referred for radical prostatectomy. Multiparametric maps were retrospectively produced using a Gaussian mixture model algorithm. These were subsequently evaluated on their pixel-wise performance in classifying 43 benign and 42 malignant histopathologically confirmed regions of interest, using a prostate-based leave-one-out procedure. Results: The combination of the spatiotemporal correlation (r), mean transit time (μ), curve skewness (κ), and peak time (PT) yielded an accuracy of 81% ± 11%, which was higher than the best performing single parameters: r (73%), μ (72%), and wash-in time (72%). The negative predictive value increased to 83% ± 16% from 70%, 69% and 67%, respectively. Pixel inclusion based on the confidence level boosted these measures to 90% with half of the pixels excluded, but without disregarding any prostate or region. Conclusions: Our results suggest multiparametric DCE-US analysis might be a useful diagnostic tool for PCa, possibly supporting future targeting of biopsies or therapy. Application in other types of cancer can also be foreseen. Key points: • DCE-US can be used to extract both perfusion and dispersion-related parameters. • Multiparametric DCE-US performs better in detecting PCa than single-parametric DCE-US. • Multiparametric DCE-US might become a useful tool for PCa localization.

Original languageEnglish
Pages (from-to)3226-3234
Number of pages9
JournalEuropean Radiology
Volume27
Issue number8
DOIs
Publication statusPublished - 1 Aug 2017

Keywords

  • Classification
  • Contrast agents
  • Multiparametric imaging
  • Prostate cancer
  • Ultrasound

Fingerprint Dive into the research topics of 'Multiparametric dynamic contrast-enhanced ultrasound imaging of prostate cancer'. Together they form a unique fingerprint.

  • Cite this