BACKGROUND & AIMS: Transient elastography has been studied in a multitude of liver diseases for the staging of liver fibrosis with variable results. A meta-analysis was performed to assess the overall performance of transient elastography for the diagnosis of liver fibrosis and to analyze factors influencing the diagnostic accuracy. METHODS: Literature databases and international conference abstracts were searched. Inclusion criteria were as follows: evaluation of transient elastography, liver biopsy as reference, and assessment of the area under the receiver operating characteristic curve (AUROC). The meta-analysis was performed using the random-effects model for the AUROC, summary receiver operating curve techniques, as well as meta-regression approaches. RESULTS: Fifty studies were included in the analysis. The mean AUROC for the diagnosis of significant fibrosis, severe fibrosis, and cirrhosis were 0.84 (95% confidence interval [CI], 0.82-0.86), 0.89 (95% CI, 0.88-0.91), and 0.94 (95% CI, 0.93-0.95), respectively. For the diagnosis of significant fibrosis a significant reduction of heterogeneity of the AUROC was found when differentiating between the underlying liver diseases (P < .001). Other factors influencing the AUROC were the scoring system used and the country in which the study was performed. Age, body mass index, and biopsy quality did not have a significant effect on the AUROC. CONCLUSIONS: Transient elastography can be performed with excellent diagnostic accuracy and independent of the underlying liver disease for the diagnosis of cirrhosis. However, for the diagnosis of significant fibrosis, a high variation of the AUROC was found that is dependent on the underlying liver disease.
BACKGROUND & AIMS: Transient elastography has been studied in a multitude of liver diseases for the staging of liver fibrosis with variable results. A meta-analysis was performed to assess the overall performance of transient elastography for the diagnosis of liver fibrosis and to analyze factors influencing the diagnostic accuracy. METHODS: Literature databases and international conference abstracts were searched. Inclusion criteria were as follows: evaluation of transient elastography, liver biopsy as reference, and assessment of the area under the receiver operating characteristic curve (AUROC). The meta-analysis was performed using the random-effects model for the AUROC, summary receiver operating curve techniques, as well as meta-regression approaches. RESULTS: Fifty studies were included in the analysis. The mean AUROC for the diagnosis of significant fibrosis, severe fibrosis, and cirrhosis were 0.84 (95% confidence interval [CI], 0.82-0.86), 0.89 (95% CI, 0.88-0.91), and 0.94 (95% CI, 0.93-0.95), respectively. For the diagnosis of significant fibrosis a significant reduction of heterogeneity of the AUROC was found when differentiating between the underlying liver diseases (P < .001). Other factors influencing the AUROC were the scoring system used and the country in which the study was performed. Age, body mass index, and biopsy quality did not have a significant effect on the AUROC. CONCLUSIONS: Transient elastography can be performed with excellent diagnostic accuracy and independent of the underlying liver disease for the diagnosis of cirrhosis. However, for the diagnosis of significant fibrosis, a high variation of the AUROC was found that is dependent on the underlying liver disease.
Authors: Anthony E Samir; Manish Dhyani; Abhinav Vij; Atul K Bhan; Elkan F Halpern; Jorge Méndez-Navarro; Kathleen E Corey; Raymond T Chung Journal: Radiology Date: 2014-11-13 Impact factor: 11.105
Authors: Keyur Patel; Mireen Friedrich-Rust; Yoav Lurie; Mircea Grigorescu; Carol Stanciu; Chuan-Mo Lee; Eugene R Schiff; Dieter Häussinger; Michael P Manns; Guido Gerken; Isabelle Colle; Michael Torbenson; Erik Pulkstenis; G Mani Subramanian; John G McHutchison; Stefan Zeuzem Journal: World J Gastroenterol Date: 2011-11-07 Impact factor: 5.742
Authors: Perry J Pickhardt; Peter M Graffy; Adnan Said; Daniel Jones; Brandon Welsh; Ryan Zea; Meghan G Lubner Journal: AJR Am J Roentgenol Date: 2019-01-15 Impact factor: 3.959
Authors: Giovanna Ferraioli; Carmine Tinelli; Barbara Dal Bello; Mabel Zicchetti; Raffaella Lissandrin; Gaetano Filice; Carlo Filice; Elisabetta Above; Giorgio Barbarini; Enrico Brunetti; Willy Calderon; Marta Di Gregorio; Roberto Gulminetti; Paolo Lanzarini; Serena Ludovisi; Laura Maiocchi; Antonello Malfitano; Giuseppe Michelone; Lorenzo Minoli; Mario Mondelli; Stefano Novati; Savino F A Patruno; Alessandro Perretti; Gianluigi Poma; Paolo Sacchi; Domenico Zanaboni; Marco Zaramella Journal: World J Gastroenterol Date: 2013-01-07 Impact factor: 5.742
Authors: Dalia Omran; Ayman Yosry; Samar K Darweesh; Mohammed M Nabeel; Mohammed El-Beshlawey; Sameh Saif; Azza Fared; Mohamed Hassany; Rania A Zayed Journal: Clin Exp Med Date: 2017-05-31 Impact factor: 3.984