On the relationship between dynamic contrast-enhanced ultrasound parameters and the underlying vascular architecture extracted from acoustic angiography

Anastasiia Panfilova (Corresponding author), Sarah E. Shelton, Cristina Caresio, Ruud J.G. van Sloun, Filippo Molinari, Hessel Wijkstra, Paul A. Dayton, Massimo Mischi

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)

Abstract

Dynamic contrast-enhanced ultrasound (DCE-US) has been proposed as a powerful tool for cancer diagnosis by estimation of perfusion and dispersion parameters reflecting angiogenic vascular changes. This work was aimed at identifying which vascular features are reflected by the estimated perfusion and dispersion parameters through comparison with acoustic angiography (AA). AA is a high-resolution technique that allows quantification of vascular morphology. Three-dimensional AA and 2-D DCE-US bolus acquisitions were used to monitor the growth of fibrosarcoma tumors in nine rats. AA-derived vascular properties were analyzed along with DCE-US perfusion and dispersion to investigate the differences between tumor and control and their evolution in time. AA-derived microvascular density and DCE-US perfusion exhibited good agreement, confirmed by their spatial distributions. No vascular feature was correlated with dispersion. Yet, dispersion provided better cancer classification than perfusion. We therefore hypothesize that dispersion characterizes vessels that are smaller than those visible with AA.

Original languageEnglish
Pages (from-to)539-548
Number of pages10
JournalUltrasound in Medicine and Biology
Volume45
Issue number2
DOIs
Publication statusPublished - Feb 2019

Fingerprint

angiography
Acoustics
Blood Vessels
Angiography
Perfusion
acoustics
Neoplasms
tumors
cancer
Fibrosarcoma
rats
vessels
acquisition
spatial distribution
high resolution
Growth

Keywords

  • Acoustic angiography
  • Cancer
  • Dispersion
  • Dynamic contrast-enhanced ultrasound
  • Perfusion
  • Ultrasound contrast agents
  • Angiography/methods
  • Imaging, Three-Dimensional/methods
  • Rats, Inbred F344
  • Rats
  • Ultrasonography/methods
  • Acoustics
  • Animals
  • Contrast Media
  • Image Enhancement/methods
  • Fibrosarcoma/blood supply
  • Disease Models, Animal

Cite this

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title = "On the relationship between dynamic contrast-enhanced ultrasound parameters and the underlying vascular architecture extracted from acoustic angiography",
abstract = "Dynamic contrast-enhanced ultrasound (DCE-US) has been proposed as a powerful tool for cancer diagnosis by estimation of perfusion and dispersion parameters reflecting angiogenic vascular changes. This work was aimed at identifying which vascular features are reflected by the estimated perfusion and dispersion parameters through comparison with acoustic angiography (AA). AA is a high-resolution technique that allows quantification of vascular morphology. Three-dimensional AA and 2-D DCE-US bolus acquisitions were used to monitor the growth of fibrosarcoma tumors in nine rats. AA-derived vascular properties were analyzed along with DCE-US perfusion and dispersion to investigate the differences between tumor and control and their evolution in time. AA-derived microvascular density and DCE-US perfusion exhibited good agreement, confirmed by their spatial distributions. No vascular feature was correlated with dispersion. Yet, dispersion provided better cancer classification than perfusion. We therefore hypothesize that dispersion characterizes vessels that are smaller than those visible with AA.",
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author = "Anastasiia Panfilova and Shelton, {Sarah E.} and Cristina Caresio and {van Sloun}, {Ruud J.G.} and Filippo Molinari and Hessel Wijkstra and Dayton, {Paul A.} and Massimo Mischi",
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AU - Caresio, Cristina

AU - van Sloun, Ruud J.G.

AU - Molinari, Filippo

AU - Wijkstra, Hessel

AU - Dayton, Paul A.

AU - Mischi, Massimo

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N2 - Dynamic contrast-enhanced ultrasound (DCE-US) has been proposed as a powerful tool for cancer diagnosis by estimation of perfusion and dispersion parameters reflecting angiogenic vascular changes. This work was aimed at identifying which vascular features are reflected by the estimated perfusion and dispersion parameters through comparison with acoustic angiography (AA). AA is a high-resolution technique that allows quantification of vascular morphology. Three-dimensional AA and 2-D DCE-US bolus acquisitions were used to monitor the growth of fibrosarcoma tumors in nine rats. AA-derived vascular properties were analyzed along with DCE-US perfusion and dispersion to investigate the differences between tumor and control and their evolution in time. AA-derived microvascular density and DCE-US perfusion exhibited good agreement, confirmed by their spatial distributions. No vascular feature was correlated with dispersion. Yet, dispersion provided better cancer classification than perfusion. We therefore hypothesize that dispersion characterizes vessels that are smaller than those visible with AA.

AB - Dynamic contrast-enhanced ultrasound (DCE-US) has been proposed as a powerful tool for cancer diagnosis by estimation of perfusion and dispersion parameters reflecting angiogenic vascular changes. This work was aimed at identifying which vascular features are reflected by the estimated perfusion and dispersion parameters through comparison with acoustic angiography (AA). AA is a high-resolution technique that allows quantification of vascular morphology. Three-dimensional AA and 2-D DCE-US bolus acquisitions were used to monitor the growth of fibrosarcoma tumors in nine rats. AA-derived vascular properties were analyzed along with DCE-US perfusion and dispersion to investigate the differences between tumor and control and their evolution in time. AA-derived microvascular density and DCE-US perfusion exhibited good agreement, confirmed by their spatial distributions. No vascular feature was correlated with dispersion. Yet, dispersion provided better cancer classification than perfusion. We therefore hypothesize that dispersion characterizes vessels that are smaller than those visible with AA.

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KW - Ultrasonography/methods

KW - Acoustics

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KW - Contrast Media

KW - Image Enhancement/methods

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