Evidence map›Paper›PMID 31612247›Full record

ArticleEuropean radiology2020

Learning curve of liver stiffness measurement using a new hybrid machine composed of transient elastography interfaced with ultrasound.

Christophe Cassinotto, Marie-Ange Pierredon-Foulongne, Ali Belgour, Julien Delicque, Laure Escal, Nicolas Molinari, Sophie Anselme, Tony Jacq, Ugo Chamard-Champliaud, Bastien Nicolan and 2 more

Abstract read
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Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

12 authors at 1 institution in 1 country.

Christophe CassinottoDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France. c-cassinotto@chu-montpellier.fr.ORCID http://orcid.org/0000-0001-5136-4742
Marie-Ange Pierredon-FoulongneDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Ali BelgourDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Julien DelicqueDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Laure EscalDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Nicolas MolinariDepartment of Medical Information, University Hospital of Montpellier, Montpellier, France.
Sophie AnselmeDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Tony JacqDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Ugo Chamard-ChampliaudDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Bastien NicolanDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Carole AllimantDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Boris GuiuDepartment of Diagnostic and Interventional Radiology, Saint-Eloi Hospital, University Hospital of Montpellier, 80 Avenue Augustin Fliche, 34090, Montpellier cedex, France.
Centre Hospitalier Universitaire de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the learning curve for performing reliable liver stiffness measurements using a new hybrid machine composed of transient elastography (TE) interfaced with an ultrasound device for radiographers and radiologists with different levels of expertise in ultrasound imaging.

methodsTen novice operators who had never performed TE measurements were prospectively evaluated from April to October 2018: senior radiologists, young radiologists, fellows, radiographers, and residents, with different levels of experience in abdominal ultrasound imaging. All operators had a short theoretical training followed by a training session under supervision in three patients. Then, each operator had to perform TE in 50 consecutive patients with chronic liver disease, using beforehand ultrasound examination to select measurement area in the right liver lobe, and if needed, the XL probe. Percentages of failures and reliable measurements were compared.

resultsThe rates of failures of measurements, poorly reliable, reliable, and very reliable results, were of 4.2% (21/500), 2.4% (12/500), 47.6% (238/500), and 45.8% (229/500), respectively. The rates of reliable plus very reliable results were excellent, ranging from 91 to 96% among all the subgroups. The rates of very reliable, reliable, and unreliable results did not differ between operator subgroups and especially between junior radiologists, senior radiologists, and radiographers. No breaking point was observed in the interquartile range/median values over time.

conclusionTE interfaced with ultrasound in this hybrid machine presents no learning curve effect. After a short initial training session, a novice observer is able to perform high rates of reliable and very reliable TE measurements. KEY POINTS: • When performing liver stiffness measurements using a new hybrid machine composed of transient elastography interfaced with ultrasound, the rate of failures of measurements is very low, below 5%. • After a short training session and using ultrasound planning, a novice operator, whatever its expertise in ultrasound imaging, is capable of performing high rates of reliable and very reliable measurements. • No learning curve is needed for performing reliable liver stiffness measurements using this new hybrid machine.

Indexed as

AdolescentAdultAgedAged, 80 and overElasticity Imaging TechniquesFemaleHumansLearning CurveLiverLiver DiseasesMaleMiddle AgedMultimodal ImagingProspective StudiesRadiologistsReproducibility of ResultsClinical competenceElasticity imaging techniquesLearning curveLiver fibrosisUltrasonography

Identifiers

PMID31612247
OpenAlexW2980290309

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.