scholarly journals Assessment of Liver Viscoelasticity for the Diagnosis of Early Stage Fatty Liver Disease Using Transient Elastography

2015 ◽  
Vol 70 ◽  
pp. 1246-1249
Author(s):  
Jean-Pierre Remenieras ◽  
Maelle Dejobert ◽  
Cécile Bastard ◽  
Véronique Miette ◽  
Jean-Marc Perarnau ◽  
...  
2020 ◽  
Vol 53 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Luiza de Campos Moreira da Silva ◽  
Julia Teixeira de Oliveira ◽  
Sandra Tochetto ◽  
Claudia Pinto Marques Souza de Oliveira ◽  
Rosa Sigrist ◽  
...  

Abstract Hepatic steatosis, or fatty liver disease, occurs due to the accumulation of lipids in hepatocytes. When it becomes chronic, lobular inflammation develops and the disease can evolve to hepatic fibrosis, liver cirrhosis, or hepatocellular carcinoma. Early diagnosis is desirable because patients diagnosed in the early stage of the disease respond better to treatment. In the early stages of fatty liver disease, the physical examination is often unremarkable. Fatty liver disease and hepatic fibrosis can be diagnosed and monitored through laboratory tests, imaging, and biopsy. Among the imaging methods, ultrasound stands out as an effective means of diagnosing and following patients with liver disease. Ultrasound used in conjunction with elastography (ultrasound elastography) has recently shown great utility in the follow-up of such patients. Ultrasound elastography studies the degree of deformation (stiffness) of an organ or lesion, so that when there is hardening, fibrosis, or cirrhosis of the liver, those alterations are well demonstrated. In this review article, we discuss the application of the different types of ultrasound elastography for liver studies: transient elastography, point shear wave elastography, and two-dimensional shear wave elastography. Although magnetic resonance elastography may also be used in the analysis of liver fibrosis, it will not be addressed in this article.


Author(s):  
Hojeong Park ◽  
Shijie Li ◽  
Guangle Niu ◽  
Haoke Zhang ◽  
Zhuo-yue Song ◽  
...  

Fatty liver disease (FLD) has become an increasing global health risk. However, an accurate diagnosis of FLD at an early stage remains a great challenge due to the lack of...


2021 ◽  
Author(s):  
Marta Freitas ◽  
Vítor Macedo Silva ◽  
Sofia Xavier ◽  
Joana Magalhes ◽  
Carla Marinho ◽  
...  

Introduction: Increasing evidence suggests an association between metabolic associated fatty liver disease (MAFLD) and chronic kidney disease (CKD). Timely prediction of early kidney dysfunction (EKD) is thus essential in this population, although a screening method is not stablished. We aimed to evaluate the role of transient elastography (TE) in predicting EKD in patients with MAFLD. Methods: Prospective cohort study that included patients with MAFLD scheduled for evaluation, between May/2019 and January/2020. Demographic, clinical and laboratory data, and TE parameters were obtained. EKD was defined as microalbuminuria (urinary albumin-to-creatinine ratio 30-300mg/g) and estimated glomerular filtration rate≥60mL/min/1.73m2. Significant liver fibrosis was defined as liver stiffness measurement (LSM)≥8.2kPa. Results: Included 45 patients with MALFD, 53.3% female gender, mean age of 53.5±10.9years. EKD was found in 17.8% of patients. MAFLD patients with EKD were significantly more obese (body mass index≥30) (75.0% vs 32.4%,p=0.045) and had significantly higher LSM (8.5±4.1 vs 5.8±2.2kPa,p=0.01). After adjustment of potential confounders for EKD the presence of liver fibrosis, remained a significant predictor of EKD, being associated with a 14.3-fold increased risk of EKD (p=0.04). The optimal cutoff value of LSM to predict EKD was 6.1kPa (sensitivity:85.7%; specificity:67.6%). Conclusion: Significant liver fibrosis is associated with a significant increased risk of EKD in patients with MAFLD, regardless of other comorbidities. Higher levels of LSM, particularly >6.1kPa, alert for timely identification of EKD and associated comorbidities, as well as their control, in order to prevent the development of CKD in the long term.


2018 ◽  
Vol 34 (1) ◽  
pp. 241-248 ◽  
Author(s):  
Jeremy Chak-Lun Chow ◽  
Grace Lai-Hung Wong ◽  
Anthony Wing-Hung Chan ◽  
Sally She-Ting Shu ◽  
Carmen Ka-Man Chan ◽  
...  

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