Abstract:ObjectiveEstablishing normal liver stiffness (LS) values in healthy livers is a prerequisite to differentiate normal from pathological LS values. Our aim was to define normal LS using two novel elastography methods head-to-head and to assess the number of measurements, variability and reproducibility.Materials and methodsWe evaluated shear wave elastography (SWE) methods integrated in Samsung RS80A and GE S8 by obtaining LS measurements (LSM) in 100 healthy subjects (20–70 years). Transient Elastography (TE) w… Show more
“…We found that higher age was most strongly associated with advanced hepatic fibrosis in both the logistic regression and decision‐tree analyses. However, the previous study showed that age is not associated with an increase in liver stiffness . This result differs from the present result, and this might be attributed to the number and characteristics of enrolled participants.…”
Section: Discussioncontrasting
confidence: 99%
“…However, the previous study showed that age is not associated with an increase in liver stiffness. 26 This result differs from the present result, and this might be attributed to the number and characteristics of enrolled participants. In the previous study, the number of participants was 20 in the group aged ≥61 years, and no participants aged ≥71 years were enrolled.…”
Section: Discussioncontrasting
confidence: 99%
“…Mulabecirovic et al . proposed that hepatic fibrosis might be influenced by various diseases associated with aging . In fact, in the present study, the prevalence of advanced hepatic fibrosis increased along with aging in non‐healthy individuals, supporting this hypothesis.…”
Section: Discussionsupporting
confidence: 85%
“…In the previous study, the number of participants was 20 in the group aged ≥61 years, and no participants aged ≥71 years were enrolled. 26 Whereas, in the present study, 321 participants were aged ≥61 years, and the oldest participant was aged 89 years. Koehler et al analyzed a larger population database and reported that age is the significant factor related to higher liver stiffness, 1 which is consistent with the present results.…”
Section: Discussioncontrasting
confidence: 51%
“…This result differs from the present result, and this might be attributed to the number and characteristics of enrolled participants. In the previous study, the number of participants was 20 in the group aged ≥61 years, and no participants aged ≥71 years were enrolled . Whereas, in the present study, 321 participants were aged ≥61 years, and the oldest participant was aged 89 years.…”
Aim
Advanced hepatic fibrosis is seen in individuals with potential hepatocellular carcinoma and cardiovascular disease. Hepatic fibrosis can be assessed using a combination of the FIB‐4 index and imaging modalities, including shear wave elastography. We aimed to investigate the prevalence of advanced fibrosis in the general population and the profiles associated with advanced fibrosis using a data‐mining analysis.
Methods
We enrolled 1155 health checkup examinees (median age 53 years, 685 women, 470 male). Advanced fibrosis was defined by FIB‐4 index ≥1.3 and liver stiffness ≥8.07 kPa using shear wave elastography. Participants were classified as normal‐mild fibrosis (n = 1035) or advanced fibrosis (n = 120). Factors associated with advanced fibrosis were analyzed by logistic regression and decision‐tree analyses.
Results
Advanced fibrosis was observed in 10.4% of participants (120/1155). In the logistic regression analysis, independent factors for advanced fibrosis were age (≥75 years; OR 2.12, 95% CI 1.021–4.415; P = 0.0419) and the presence of metabolic syndrome (OR 2.51, 95% CI 1.416–4.462; P = 0.0017). The decision‐tree analysis showed two profiles associated with advanced fibrosis: profile 1 – individuals aged ≥65 years with metabolic syndrome and mild‐to‐moderate alcohol consumption (prevalence of advanced fibrosis 73.3%); and profile 2 – individuals without metabolic syndrome, aged ≥75 years, with no exercise habit (prevalence of advanced fibrosis 56.3%).
Conclusions
Advanced fibrosis was observed in 10.4% of health checkup examinees. Furthermore, we showed that aging, metabolic syndrome with mild‐to‐moderate alcohol consumption, and physical inactivity were associated with advanced fibrosis. Thus, prevention of metabolic syndrome and alcohol withdrawal, as well as exercise habits, might inhibit the progression of hepatic fibrosis.
“…We found that higher age was most strongly associated with advanced hepatic fibrosis in both the logistic regression and decision‐tree analyses. However, the previous study showed that age is not associated with an increase in liver stiffness . This result differs from the present result, and this might be attributed to the number and characteristics of enrolled participants.…”
Section: Discussioncontrasting
confidence: 99%
“…However, the previous study showed that age is not associated with an increase in liver stiffness. 26 This result differs from the present result, and this might be attributed to the number and characteristics of enrolled participants. In the previous study, the number of participants was 20 in the group aged ≥61 years, and no participants aged ≥71 years were enrolled.…”
Section: Discussioncontrasting
confidence: 99%
“…Mulabecirovic et al . proposed that hepatic fibrosis might be influenced by various diseases associated with aging . In fact, in the present study, the prevalence of advanced hepatic fibrosis increased along with aging in non‐healthy individuals, supporting this hypothesis.…”
Section: Discussionsupporting
confidence: 85%
“…In the previous study, the number of participants was 20 in the group aged ≥61 years, and no participants aged ≥71 years were enrolled. 26 Whereas, in the present study, 321 participants were aged ≥61 years, and the oldest participant was aged 89 years. Koehler et al analyzed a larger population database and reported that age is the significant factor related to higher liver stiffness, 1 which is consistent with the present results.…”
Section: Discussioncontrasting
confidence: 51%
“…This result differs from the present result, and this might be attributed to the number and characteristics of enrolled participants. In the previous study, the number of participants was 20 in the group aged ≥61 years, and no participants aged ≥71 years were enrolled . Whereas, in the present study, 321 participants were aged ≥61 years, and the oldest participant was aged 89 years.…”
Aim
Advanced hepatic fibrosis is seen in individuals with potential hepatocellular carcinoma and cardiovascular disease. Hepatic fibrosis can be assessed using a combination of the FIB‐4 index and imaging modalities, including shear wave elastography. We aimed to investigate the prevalence of advanced fibrosis in the general population and the profiles associated with advanced fibrosis using a data‐mining analysis.
Methods
We enrolled 1155 health checkup examinees (median age 53 years, 685 women, 470 male). Advanced fibrosis was defined by FIB‐4 index ≥1.3 and liver stiffness ≥8.07 kPa using shear wave elastography. Participants were classified as normal‐mild fibrosis (n = 1035) or advanced fibrosis (n = 120). Factors associated with advanced fibrosis were analyzed by logistic regression and decision‐tree analyses.
Results
Advanced fibrosis was observed in 10.4% of participants (120/1155). In the logistic regression analysis, independent factors for advanced fibrosis were age (≥75 years; OR 2.12, 95% CI 1.021–4.415; P = 0.0419) and the presence of metabolic syndrome (OR 2.51, 95% CI 1.416–4.462; P = 0.0017). The decision‐tree analysis showed two profiles associated with advanced fibrosis: profile 1 – individuals aged ≥65 years with metabolic syndrome and mild‐to‐moderate alcohol consumption (prevalence of advanced fibrosis 73.3%); and profile 2 – individuals without metabolic syndrome, aged ≥75 years, with no exercise habit (prevalence of advanced fibrosis 56.3%).
Conclusions
Advanced fibrosis was observed in 10.4% of health checkup examinees. Furthermore, we showed that aging, metabolic syndrome with mild‐to‐moderate alcohol consumption, and physical inactivity were associated with advanced fibrosis. Thus, prevention of metabolic syndrome and alcohol withdrawal, as well as exercise habits, might inhibit the progression of hepatic fibrosis.
Objectives
The primary objective of this study was to assess the effect of fasting versus ingestion of food and water on hepatic measurements by shear wave elastography (SWE) in healthy participants. The secondary objective was to assess inter‐ and intra‐reader reliability of hepatic elastography in healthy participants.
Methods
Twenty healthy participants were enrolled in this prospective study and underwent quantitative SWE under fasting conditions and after the ingestion of water and food and water. Two blinded sonographers each independently performed a total of 6 sessions of hepatic SWE in each participant. Sessions 1 to 3 were performed on day 0 and sessions 4 to 6 on day 7. Statistical tests used included the Wilcoxon signed ranks test, the intraclass correlation coefficient, and Bland–Altman plots.
Results
There were no significant differences in hepatic SWE measurements after the ingestion of water versus the fasting state. Statistical significance was assessed as P < 0.05. The postprandial status had a statistically significant effect on hepatic SWE measurements at 1 hour (P = .04) but not at 3 hours (P = .08). By the intraclass correlation coefficient, there was poor‐to‐moderate inter‐reader agreement and minimal‐to‐moderate intra‐reader agreement. The median inter‐reader difference in SWE measurements ranged from 0.66 to 0.96 kPa. The median intra‐reader difference ranged from 0.43 to 0.55 kPa.
Conclusions
Our study shows that the ingestion of water has no effect on hepatic SWE measurements in healthy participants. The postprandial state had a significant effect on SWE measurements at 1 hour after ingestion but not at 3 hours. The inter‐reader and intra‐reader agreements were variable and moderate at best.
Objective To determine inter-and intra-reader reproducibility of shear wave elastography measurements for musculoskeletal soft tissue masses. Materials and methods In all, 64 patients with musculoskeletal soft tissue masses were scanned by two readers prior to biopsy; each taking five measurements of shear wave velocity (m/s) and stiffness (kPa). A single lesion per patient was scanned in transverse and cranio-caudal planes. Depth measurements (cm) and volume (cm 3) were recorded for each lesion, for each reader. Linear mixed modelling was performed to assess limits of agreement (LOA), inter-and intra-reader repeatability, including analyses for measured depth and volume. Results Of the 64 lesions scanned, 24 (38%) were malignant. Bland-Altman plots demonstrated negligible bias with wide LOA for all measurements. Transverse velocity was the most reliable measure-intraclass correlation (95% CI) = 0.917 (0.886, 1)though reader 1 measures could be between 38% lower and 57% higher than reader 2 [ratio-scale bias (95% LOA) = 0.99 (0.64, 1.55)]. Repeatability coefficients indicated most disagreement resulted from poor within-reader reproducibility. LOA between readers calculated from means of five repeated measurements were narrower-transverse velocity ratio-scale bias (95% LOA) = 1.00 (0.74, 1.35). Depth affected both estimated velocity and repeatability; volume also affected repeatability. Conclusion This study found poor repeatability of measurements with wide LOA due mostly to intra-reader variability. Transverse velocity was the most reliable measure; variability may be affected by lesion depth. At least five measurements should be reported with LOA to assist future comparability between shear wave elastography systems in evaluating soft tissue masses.
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