Original Article
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World J Radiol. Mar 28, 2011; 3(3): 70-81
Published online Mar 28, 2011. doi: 10.4329/wjr.v3.i3.70
Estimation of intra-operator variability in perfusion parameter measurements using DCE-US
Marianne Gauthier, Ingrid Leguerney, Jessie Thalmensi, Mohamed Chebil, Sarah Parisot, Pierre Peronneau, Alain Roche, Nathalie Lassau
Marianne 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
Mohamed Chebil, Nathalie Lassau, Department of Imaging, Ultrasonography Unit, Gustave Roussy Institute, Villejuif 94805, France
Author contributions: Gauthier M performed the majority of experiments, designed the study and wrote the manuscript; Leguerney I was involved in analyzing results and editing the manuscript; Thalmensi J, Parisot S and Peronneau P provided substantial contributions to conception and design, acquisition of data, analysis, and interpretation of the data; Chebil M was involved in the design of the study; Roche A supervised the project; Lassau N managed each step of the study, provided contribution to data analyses and was involved in editing the manuscript.
Correspondence to: Marianne Gauthier, MSc, IR4M, UMR 8081, CNRS, Paris-Sud 11 Univ, Gustave Roussy Institute, Villejuif 94805, France. marianne.gauthier@igr.fr
Telephone: +33-1-42116215 Fax: +33-1-42115495
Received: December 24, 2010
Revised: March 2, 2011
Accepted: March 9, 2011
Published online: March 28, 2011
Abstract

AIM: To investigate intra-operator variability of semi-quantitative perfusion parameters using dynamic contrast-enhanced ultrasonography (DCE-US), following bolus injections of SonoVue®.

METHODS: The in vitro experiments were conducted using three in-house sets up based on pumping a fluid through a phantom placed in a water tank. In the in vivo experiments, B16F10 melanoma cells were xenografted to five nude mice. Both in vitro and in vivo, images were acquired following bolus injections of the ultrasound contrast agent SonoVue® (Bracco, Milan, Italy) and using a Toshiba Aplio® ultrasound scanner connected to a 2.9-5.8 MHz linear transducer (PZT, PLT 604AT probe) (Toshiba, Japan) allowing harmonic imaging (“Vascular Recognition Imaging”) involving linear raw data. A mathematical model based on the dye-dilution theory was developed by the Gustave Roussy Institute, Villejuif, France and used to evaluate seven perfusion parameters from time-intensity curves. Intra-operator variability analyses were based on determining perfusion parameter coefficients of variation (CV).

RESULTS: In vitro, different volumes of SonoVue® were tested with the three phantoms: intra-operator variability was found to range from 2.33% to 23.72%. In vivo, experiments were performed on tumor tissues and perfusion parameters exhibited values ranging from 1.48% to 29.97%. In addition, the area under the curve (AUC) and the area under the wash-out (AUWO) were two of the parameters of great interest since throughout in vitro and in vivo experiments their variability was lower than 15.79%.

CONCLUSION: AUC and AUWO appear to be the most reliable parameters for assessing tumor perfusion using DCE-US as they exhibited the lowest CV values.

Keywords: Dynamic contrast-enhanced ultrasonography; Intra-operator variability; Functional imaging; Semi-quantitative perfusion parameters; Linear raw data; Quantification