Non-invasive assessment of liver fibrosis using real-time tissue elastography in patients with chronic hepatitis B

Hu, Qiankun; Zhu, Siyi; Kang, Le; Wang, Xiuri; Lun, Hai-Mei; Xu, Chan

doi:10.1016/j.crad.2013.10.003

Cited by 11 publications

(11 citation statements)

References 23 publications

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“…For scoring methods in RTE systems, there was no evidence that the scoring methods had any effect on sensitivity or FPR when the methods were broadly classified into four methods: elastic index [25,30], elastic ratio with reference to muscle [23,36], elastic ratio with reference to vein [24,35,39], liver fibrosis index (LFI) [26][27][28]38], and others [29,34,37,40] (Supplementary Table 2). Further, controlling for types of diseases included in the studies (whether the study included subjects of healthy volunteers; and which disease types subjects had, NAFLD/NASH, or other liver diseases such as viral hepatitis) did not significantly affect sensitivity or FPR (Supplementary Table 3).…”

Section: Descriptive Statisticsmentioning

confidence: 99%

“…After a detailed review of these articles, 15 articles were selected for the final analysis ( Fig. 1) [23][24][25][26][27][28][29][30][34][35][36][37][38][39][40]. The quality of the eligible studies, as assessed according to the QUADAS-2 criteria, is reported in Table 1.…”

Section: Study Selection and Quality Assessmentmentioning

confidence: 99%

“…A meta-analysis that directly compares the accuracy between TE and ARFI has reported that ARFI performs with as good a diagnostic accuracy as TE for the estimation of liver fibrosis [33]. Although an increasing number of studies have evaluated RTE for the estimation of liver fibrosis in diverse liver diseases [23][24][25][26][27][28][29][30][34][35][36][37][38][39][40], a meta-analysis has not been conducted on the topic. In the present study, therefore, we performed a meta-analysis to assess the overall performance of RTE for the diagnosis of liver fibrosis.…”

Section: Introductionmentioning

confidence: 97%

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Diagnostic Accuracy of Real-Time Tissue Elastography for the Staging of Liver Fibrosis: A Meta-Analysis

et al. 2014

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Section: Descriptive Statisticsmentioning

confidence: 99%

Section: Study Selection and Quality Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

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Diagnostic Accuracy of Real-Time Tissue Elastography for the Staging of Liver Fibrosis: A Meta-Analysis

et al. 2014

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“…ER2 accurately depicted F≥F1, F≥F2, F≥F3 and F4 (table IV) The same technique was used by Hu et al [20], who studied 96 patients with chronic hepatitis B and 45 volunteers. They showed a good reproducibility Wang et al [2], used a 5-MHz transducer, in a study of 85 patients (55 patients with chronic viral hepatitis B and 20 controls).…”

Section: Elastic Ratio (Er2) Was Studied By Koizumi Et Almentioning

confidence: 98%

“…Subsequently, other authors have used strain ratio (SR) for assessing liver fibrosis, performing a ratio between the two areas of interest (ROI): one placed on the liver tissue and the other one in the intrahepatic veins [18][19][20], or in the intercostal muscles [21][22][23].…”

Section: The Liver Fibrosis Index (Lfi) Was First Published By Tatsummentioning

confidence: 99%

Strain Elastography (SE) for liver fibrosis estimation – which elastic score to calculate?

et al. 2016

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Liver fibrosis scoring by liver biopsy has become a rarity in daily practice mainly because many non-invasive methods with similar accuracy have been developed. Among all ultrasound elastography imaging methods, Strain Elastography (SE) is the most widely available. Although SE is a qualitative and semi-quantitative method, there is reliable applicability for liver fibrosis estimation and multiple ways to transform SE into a quantitative method, in order to obtain a fibrosis score. The aim of this review is to briefly introduce all these methods and to offer support in choosing the best estimation method for liver fibrosis, with SE.

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Whole-organ and segmental stiffness measured with liver magnetic resonance elastography in healthy adults: significance of the region of interest

et al. 2014

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PurposeMR elastography (MRE) is a recent non-invasive technique that provides in vivo data on the viscoelasticity of the liver. Since the method is not well established, several different protocols were proposed that differ in results. The aim of the study was to analyze the variability of stiffness measurements in different regions of the liver.MethodsTwenty healthy adults aged 24–45 years were recruited. The examination was performed using a mechanical excitation of 64 Hz. MRE images were fused with axial T2WI breath-hold images (thickness 10 mm, spacing 10 mm). Stiffness was measured as a mean value of each cross section of the whole liver, on a single largest cross section, in the right lobe, and in ROIs (50 pix.) placed in the center of the left lobe, segments 5/6, 7, 8, and the parahilar region.ResultsWhole-liver stiffness ranged from 1.56 to 2.75 kPa. Mean segmental stiffness differed significantly between the tested regions (range from 1.55 ± 0.28 to 2.37 ± 0.32 kPa; P < 0.0001, ANOVA). Within-method variability of measurements ranged from 14 % for whole liver and segment 8–26 % for segment 7. Within-subject variability ranged from 13 to 31 %. Results of measurement within segment 8 were closest to the whole-liver method (ICC, 0.84).ConclusionsStiffness of the liver presented significant variability depending on the region of measurement. The most reproducible method is averaging of cross sections of the whole liver. There was significant variability between stiffness in subjects considered healthy, which requires further investigation.

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Non-invasive assessment of liver fibrosis using real-time tissue elastography in patients with chronic hepatitis B

Cited by 11 publications

References 23 publications

Diagnostic Accuracy of Real-Time Tissue Elastography for the Staging of Liver Fibrosis: A Meta-Analysis

Diagnostic Accuracy of Real-Time Tissue Elastography for the Staging of Liver Fibrosis: A Meta-Analysis

Strain Elastography (SE) for liver fibrosis estimation – which elastic score to calculate?

Whole-organ and segmental stiffness measured with liver magnetic resonance elastography in healthy adults: significance of the region of interest

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