Assessment of Quantitative Perfusion Parameters by Dynamic Contrast-Enhanced Sonography Using a Deconvolution Method

Gauthier, Marianne; Tabarout, F.; Leguerney, Ingrid; Polrot, Mélanie; Pitre, S.; Péronneau, P.; Lassau, Nathalie

doi:10.7863/jum.2012.31.4.595

Cited by 32 publications

(34 citation statements)

References 62 publications

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“…These are PI, the time to peak intensity (TPI), the area under the curve (AUC), the wash-in (AUWI), the wash-out (AUWO) and the full width at half maximum (FWHM) (Figure 1 [12] ).…”

Section: Discussionmentioning

confidence: 99%

“…In order to derive quantitative parameters from this equation, the residue function R(t) can be determined using a process called deconvolution. The deconvolution method developed in our lab and dedicated to the DCE-US imaging is based on the Tikhonov regularization and was previously described by Gauthier et al [12] . Three quantitative microvascularization parameters are thus graphically extracted from the residue function: the BF, the tissue blood volume (BV) and the mean transit time (MTT) (Figure 2 [27] ).…”

Section: Discussionmentioning

confidence: 99%

“…Two ROIs were selected to be analyzed (Figure 4 [12] ): the first one was associated with the three-intertwined pipe phantom while the second was associated with its feeding pipe. Deconvolution was performed between the two TICs extracted from these ROIs through the CHIQ ® software.…”

Section: Us Protocol Bolus Injections Of Sonovuementioning

confidence: 99%

“…Variations in flow rates were controlled using the peristaltic pump. [12,27] ) of five mice through a subcutaneous injection of 2 × 10 6 melanoma cells in 0.2 mL of phosphate buffered saline. DCE-US exams were performed following three 0.1 mL injections of SonoVue ® according to the methodology used in our lab.…”

Section: Arterial Inputmentioning

confidence: 99%

“…Deconvolution has been already performed using other imaging modalities [9][10][11] . Previous studies have been performed to develop a deconvolution technique based on Tikhonov regularization [12,13] : preliminary results demonstrated a diminution in microvascularization parameter coefficients of variation from 30% to 13%, respectively measured without and with the deconvolution process.…”

Section: Introductionmentioning

confidence: 99%

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Impact of the arterial input function on microvascularization parameter measurements using dynamic contrast-enhanced ultrasonography

Gauthier

Pitre-Champagnat²,

Tabarout³

et al. 2012

WJR

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AIM:To evaluate the sources of variation influencing the microvascularization parameters measured by dynamic contrast-enhanced ultrasonography (DCE-US). METHODS:Firstly, we evaluated, in vitro , the impact of the manual repositioning of the ultrasound probe and the variations in flow rates. Experiments were conducted using a custom-made phantom setup simulating a tumor and its associated arterial input. Secondly, we evaluated, in vivo , the impact of multiple contrast agent injections and of examination day, as well as the influence of the size of region of interest (ROI) associated with the arterial input function (AIF). Experiments were conducted on xenografted B16F10 female nude mice. For all of the experiments, an ultrasound scanner along with a linear transducer was used to perform pulse inversion imaging based on linear raw data throughout the experiments. Semi-quantitative and quantitative analyses were performed using two signal-processing methods. RESULTS:In vitro , no microvascularization parameters, whether semi-quantitative or quantitative, were significantly correlated (P values from 0.059 to 0.860) with the repositioning of the probe. In addition, all semiquantitative microvascularization parameters were correlated with the flow variation while only one quantitative parameter, the tumor blood flow, exhibited P value lower than 0.05 (P = 0.004). In vivo , multiple contrast agent injections had no significant impact (P values from 0.060 to 0.885) on microvascularization parameters. In addition, it was demonstrated that semi-quantitative microvascularization parameters were correlated with the tumor growth while among the quantitative parameters, only the tissue blood flow exhibited P value lower than 0.05 (P = 0.015). Based on these results, it was demonstrated that the ROI size of the AIF had significant influence on microvascularization parameters: in the context of larger arterial ROI (from 1.17 ± 0.6 mm 3 to 3.65 ± 0.3 mm Gauthier M, Pitre-Champagnat S, Tabarout F, Leguerney I, Polrot M, Lassau N. Impact of the arterial input function on microvascularization parameter measurements using dynamic contrastenhanced ultrasonography. World

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“…These are PI, the time to peak intensity (TPI), the area under the curve (AUC), the wash-in (AUWI), the wash-out (AUWO) and the full width at half maximum (FWHM) (Figure 1 [12] ).…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Us Protocol Bolus Injections Of Sonovuementioning

confidence: 99%

Section: Arterial Inputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of the arterial input function on microvascularization parameter measurements using dynamic contrast-enhanced ultrasonography

Gauthier

Pitre-Champagnat²,

Tabarout³

et al. 2012

WJR

Self Cite

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Multimodal approach to assess tumour vasculature and potential treatment effect with DCE‐US and DCE‐MRI quantification in CWR22 prostate tumour xenografts

Arteaga-Marrero

Rygh

Mainou-Gomez

et al. 2015

Contrast Media & Molecular

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The aim of this study was to compare intratumoural heterogeneity and longitudinal changes assessed by dynamic contrast-enhanced ultrasound (DCE-US) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in prostate tumour xenografts. In vivo DCE-US and DCE-MRI were obtained 24 h pre- (day 0) and post- (day 2) radiation treatment with a single dose of 7.5 Gy. Characterization of the tumour vasculature was determined by Brix pharmacokinetic analysis of the time-intensity curves. Histogram analysis of voxels showed significant changes (p < 0.001) from day 0 to day 2 in both modalities for kep , the exchange rate constant from the extracellular extravascular space to the plasma, and kel , the elimination rate constant of the contrast. In addition, kep and kel values from DCE-US were significantly higher than those derived from DCE-MRI at day 0 (p < 0.0001) for both groups. At day 2, kel followed the same tendency for both groups, whereas kep showed this tendency only for the treated group in intermediate-enhancement regions. Regarding kep median values, longitudinal changes were not found for any modality. However, at day 2, kep linked to DCE-US was correlated to MVD in high-enhancement areas for the treated group (p = 0.05). In contrast, correlation to necrosis was detected for the control group in intermediate-enhancement areas (p < 0.1). Intratumoural heterogeneity and longitudinal changes in tumour vasculature were assessed for both modalities. Microvascular parameters derived from DCE-US seem to provide reliable biomarkers during radiotherapy as validated by histology. Furthermore, DCE-US could be a stand-alone or a complementary technique.

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DCE-US: Evaluation of Angiogenesis

Lassau

2013

Functional Imaging in Oncology

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Assessment of Quantitative Perfusion Parameters by Dynamic Contrast-Enhanced Sonography Using a Deconvolution Method

Abstract: Taking into account the arterial input in evaluating perfusion parameters improves the intraoperator variability and may improve the dynamic contrast-enhanced sonographic technique.

Cited by 32 publications

References 62 publications

Impact of the arterial input function on microvascularization parameter measurements using dynamic contrast-enhanced ultrasonography

Impact of the arterial input function on microvascularization parameter measurements using dynamic contrast-enhanced ultrasonography

Multimodal approach to assess tumour vasculature and potential treatment effect with DCE‐US and DCE‐MRI quantification in CWR22 prostate tumour xenografts

DCE-US: Evaluation of Angiogenesis

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