Literature DB >> 18679074

Learning curve and interobserver reproducibility evaluation of liver stiffness measurement by transient elastography.

Jérôme Boursier1, Anselme Konate, Marine Guilluy, Gabriella Gorea, Apollinaire Sawadogo, Emmanuel Quemener, Frédéric Oberti, Stéphane Reaud, Isabelle Hubert-Fouchard, Nina Dib, Paul Calès.   

Abstract

BACKGROUND/AIMS: Fibroscan allows liver stiffness examination (LSE) that is well correlated with fibrosis stages. Our main objective was to evaluate LSE learning curve.
METHODS: LSE results of five novice observers with different medical status were compared with those of five expert observers (physicians with >100 examinations) in 250 patients with chronic liver disease. Each novice-expert pair had to blindly examine 50 consecutive patients divided into five consecutive subgroups of 10 patients.
RESULTS: In each observer group, novice-expert agreement [intraclass correlation coefficient (Ric)] for LSE results was excellent from the first to the last subgroup. Novice-expert agreement for LSE results varied with liver stiffness level: <9 kPa: Ric=0.49; >or=9 kPa: Ric=0.87. Relative difference (%) between novice and expert LSE results was independently associated with the number of valid LSE measurements, and stabilizes around 20-30% after the fourth valid measurement. In each observer group, novice-expert agreement (Ric) for LSE success rate progressively increased as a function of time.
CONCLUSION: LSE requires no learning curve: a novice is able to obtain a reliable result after a single training session, whatever the professional status. However, success rate will progressively increase. An LSE with less than four valid measurements should not be considered as reliable.

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Year:  2008        PMID: 18679074     DOI: 10.1097/MEG.0b013e3282f51992

Source DB:  PubMed          Journal:  Eur J Gastroenterol Hepatol        ISSN: 0954-691X            Impact factor:   2.566


  15 in total

Review 1.  Noninvasive assessment of alcoholic liver disease using unidimensional transient elastography (Fibroscan(®)).

Authors:  Monica Lupsor-Platon; Radu Badea
Journal:  World J Gastroenterol       Date:  2015-11-14       Impact factor: 5.742

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

Authors:  Christophe Cassinotto; Marie-Ange Pierredon-Foulongne; Ali Belgour; Julien Delicque; Laure Escal; Nicolas Molinari; Sophie Anselme; Tony Jacq; Ugo Chamard-Champliaud; Bastien Nicolan; Carole Allimant; Boris Guiu
Journal:  Eur Radiol       Date:  2019-10-14       Impact factor: 5.315

3.  Non-invasive diagnosis of liver fibrosis.

Authors:  Hiroyasu Morikawa; Norifumi Kawada
Journal:  Clin J Gastroenterol       Date:  2011-07-31

4.  Point quantification elastography in the evaluation of liver elasticity in healthy volunteers: a reliability study based on operator expertise.

Authors:  Cristina Felicani; Chiara De Molo; Horia Stefanescu; Fabio Conti; Elena Mazzotta; Veronica Gabusi; Elena Nardi; Antonio Maria Morselli-Labate; Pietro Andreone; Carla Serra
Journal:  J Ultrasound       Date:  2018-05-22

5.  Non-invasive assessment of liver fibrosis in chronic hepatitis C.

Authors:  Laurent Castera
Journal:  Hepatol Int       Date:  2011-01-20       Impact factor: 6.047

6.  A learning curve assessment of real-time sonoelastography of the prostate.

Authors:  Julia Heinzelbecker; Christel Weiss; Alexandre E Pelzer
Journal:  World J Urol       Date:  2012-07-25       Impact factor: 4.226

7.  Transient elastography for the noninvasive assessment of liver fibrosis: a multicentre Canadian study.

Authors:  Robert P Myers; Magdy Elkashab; Mang Ma; Pam Crotty; Gilles Pomier-Layrargues
Journal:  Can J Gastroenterol       Date:  2010-11       Impact factor: 3.522

8.  Assessment of Noninvasive Markers of Steatosis and Liver Fibrosis in Human Immunodeficiency Virus-Monoinfected Patients on Stable Antiretroviral Regimens.

Authors:  C Busca; M Sánchez-Conde; M Rico; M Rosas; E Valencia; A Moreno; V Moreno; L Martín-Carbonero; S Moreno; I Pérez-Valero; J I Bernardino; J R Arribas; J González; A Olveira; P Castillo; M Abadía; L Guerra; C Mendez; M L Montes
Journal:  Open Forum Infect Dis       Date:  2022-06-09       Impact factor: 4.423

Review 9.  Liver fibrosis imaging: A clinical review of ultrasound and magnetic resonance elastography.

Authors:  Yingzhen N Zhang; Kathryn J Fowler; Arinc Ozturk; Chetan K Potu; Ashley L Louie; Vivian Montes; Walter C Henderson; Kang Wang; Michael P Andre; Anthony E Samir; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2019-03-12       Impact factor: 4.813

10.  Operator training requirements and diagnostic accuracy of Fibroscan in routine clinical practice.

Authors:  M J Armstrong; C Corbett; J Hodson; N Marwah; R Parker; D D Houlihan; I A Rowe; J M Hazlehurst; R Brown; S G Hübscher; D Mutimer
Journal:  Postgrad Med J       Date:  2013-08-07       Impact factor: 2.401

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