Where are we Now with Ultrasound-based Liver Elastography?

Keyword(s):  
Author(s):  
Anders Batman Mjelle ◽  
Anesa Mulabecirovic ◽  
Roald Flesland Havre ◽  
Edda Jonina Olafsdottir ◽  
Odd Helge Gilja ◽  
...  

Abstract Purpose Liver elastography is increasingly being applied in screening for and follow-up of pediatric liver disease, and has been shown to correlate well with fibrosis staging through liver biopsy. Because time is of the essence when examining children, we wanted to evaluate if a reliable result can be achieved with fewer acquisitions. Materials and Methods 243 healthy children aged 4–17 years were examined after three hours of fasting. Participants were divided into four age groups: 4–7 years; 8–11 years; 12–14 years and 15–17 years. Both two-dimensional shear wave elastography (2D-SWE; GE Logiq E9) and point shear wave elastography (pSWE; Samsung RS80A with Prestige) were performed in all participants, while transient elastography (TE, Fibroscan) was performed in a subset of 87 children aged 8–17 years. Median liver stiffness measurement (LSM) values of 3, 4, 5, 6, 7, and 8 acquisitions were compared with the median value of 10 acquisitions (reference standard). Comparison was performed for all participants together as well as within every specific age group. We investigated both the intraclass correlation coefficient (ICC) with absolute agreement and all outliers more than 10 %, 20 % or ≥ 0.5 or 1.0 kPa from the median of 10 acquisitions. Results For all three systems there was no significant difference between three and ten acquisitions, with ICCs ≥ 0.97. All systems needed 4 acquisitions to achieve no LSM deviating ≥ 1.0 kPa of a median of ten. To achieve no LSM deviating ≥ 20 % of a median of ten acquisitions, pSWE and TE needed 4 acquisitions, while 2D-SWE required 6 acquisitions. Conclusion Our results contradict recommendations of 10 acquisitions for pSWE and TE and only 3 for 2D-SWE.


2019 ◽  
Vol 51 ◽  
pp. e172 ◽  
Author(s):  
D. Macor ◽  
M. Giuffrè ◽  
F. Tinè ◽  
F. Masutti ◽  
C. Abazia ◽  
...  

2020 ◽  
Vol 73 ◽  
pp. S774-S775
Author(s):  
David JM Bauer ◽  
Annalisa De Silvestri ◽  
Dr. Laura Maiocchi ◽  
Ruxandra Mare ◽  
Ioan Sporea ◽  
...  

2020 ◽  
Vol 40 (6) ◽  
pp. 1435-1446 ◽  
Author(s):  
Maja Thiele ◽  
Mie B. Hugger ◽  
Yongsoo Kim ◽  
Pierre‐Emmanuel Rautou ◽  
Laure Elkrief ◽  
...  

2011 ◽  
Vol 32 (S 02) ◽  
pp. E24-E30 ◽  
Author(s):  
K. Rifai ◽  
J. Cornberg ◽  
M. Bahr ◽  
I. Mederacke ◽  
A. Potthoff ◽  
...  

2020 ◽  
pp. 109-133
Author(s):  
Ioan Sporea ◽  
Roxana Şirli
Keyword(s):  

2020 ◽  
Vol 45 (11) ◽  
pp. 3463-3472
Author(s):  
Cheng Fang ◽  
Paul S. Sidhu

Abstract Chronic liver disease affects 185 million population worldwide. It encompasses a heterogenous disease spectrum, but all can lead to the development of liver fibrosis. The degree of liver fibrosis is not only a prognosticator, but has also been used to guide the treatment strategy and to evaluate treatment response. Traditionally, staging of liver fibrosis is determined on histological analysis using samples obtained from an invasive liver biopsy. Ultrasound-based liver elastography is a non-invasive method of assessing diffuse liver disease in patients with known chronic liver disease. The use of liver elastography has led to a significant reduction in the number of liver biopsies performed to assess the severity of liver fibrosis and a liver biopsy is now reserved for only select sub-groups of patients. The aim of this review article is to discuss the key findings and current evidence for ultrasound-based elastography in diffuse liver disease as well as the technical challenges and to evaluate the potential research direction.


Radiology ◽  
2020 ◽  
Vol 296 (2) ◽  
pp. 263-274 ◽  
Author(s):  
Richard G. Barr ◽  
Stephanie R. Wilson ◽  
Deborah Rubens ◽  
Guadalupe Garcia-Tsao ◽  
Giovanna Ferraioli

2019 ◽  
Vol 45 ◽  
pp. S24-S25
Author(s):  
Ioan Sporea
Keyword(s):  

2015 ◽  
Vol 14 ◽  
pp. S29 ◽  
Author(s):  
S. Hillaire ◽  
N. Regnard ◽  
D. Cazals-Hatem ◽  
S. De Miranda ◽  
A. Roux ◽  
...  

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