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Related Concept Videos

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...

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Spatial Measurements of Perfusion, Interstitial Fluid Pressure and Liposomes Accumulation in Solid Tumors
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Estimation of intra-operator variability in perfusion parameter measurements using DCE-US.

Marianne Gauthier1, Ingrid Leguerney, Jessie Thalmensi

  • 1Marianne Gauthier, Ingrid Leguerney, Jessie Thalmensi, Sarah Parisot, Pierre Peronneau, Alain Roche, Nathalie Lassau, IR4M, UMR 8081, CNRS, Paris-Sud 11 Univ, Gustave Roussy Institute, Villejuif 94805, France.

World Journal of Radiology
|April 23, 2011
PubMed
Summary

Dynamic contrast-enhanced ultrasonography (DCE-US) shows that Area Under the Curve (AUC) and Area Under the Wash-out (AUWO) are reliable for tumor perfusion assessment. These parameters demonstrated the lowest intra-operator variability in both in vitro and in vivo studies.

Keywords:
Dynamic contrast-enhanced ultrasonographyFunctional imagingIntra-operator variabilityLinear raw dataQuantificationSemi-quantitative perfusion parameters

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Area of Science:

  • Medical imaging
  • Ultrasound technology
  • Quantitative analysis

Background:

  • Dynamic contrast-enhanced ultrasonography (DCE-US) is a valuable tool for assessing tissue perfusion.
  • Standardizing semi-quantitative perfusion parameters is crucial for reliable clinical application.
  • SonoVue® is an ultrasound contrast agent used in DCE-US studies.

Purpose of the Study:

  • To evaluate the intra-operator variability of semi-quantitative perfusion parameters derived from DCE-US.
  • To identify the most reliable perfusion parameters for tumor assessment using DCE-US.
  • To assess the performance of SonoVue® in DCE-US imaging.

Main Methods:

  • In vitro and in vivo experiments were conducted using phantoms and xenografted melanoma in mice.
  • Ultrasound images were acquired using a Toshiba Aplio® scanner with harmonic imaging after SonoVue® bolus injection.
  • A mathematical model based on dye-dilution theory was used to calculate seven perfusion parameters from time-intensity curves.

Main Results:

  • Intra-operator variability for perfusion parameters ranged from 2.33% to 23.72% in vitro and 1.48% to 29.97% in vivo.
  • The Area Under the Curve (AUC) and Area Under the Wash-out (AUWO) exhibited lower variability, consistently below 15.79%.
  • These findings suggest AUC and AUWO are robust parameters for perfusion quantification.

Conclusions:

  • Area Under the Curve (AUC) and Area Under the Wash-out (AUWO) are the most reliable parameters for tumor perfusion assessment via DCE-US.
  • The low coefficients of variation (CV) for AUC and AUWO indicate their reproducibility.
  • DCE-US with SonoVue® and these parameters offers a dependable method for evaluating tumor vascularity.