Evidence map›Paper›PMID 21512654›Full record

ArticleWorld journal of radiology2011

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

Abstract read
In one paragraph

Article in World journal of radiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Intraoperative Imaging Techniques to Visualize Hepatic (Micro)Perfusion: An Overview.European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes · 2020
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Contrast-enhanced ultrasound in oncology.Cancer imaging : the official publication of the International Cancer Imaging Society · 2011
    Review
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Marianne GauthierMarianne 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.
Ingrid Leguerney
Jessie Thalmensi
Mohamed Chebil
Sarah Parisot
Pierre Peronneau
Alain Roche
Nathalie Lassau

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

methodsThe 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).

resultsIn 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%.

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

Indexed as

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

Identifiers

PMID21512654
PMCPMC3080053

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.