Liver Stiffness Measurement Research Articles

Significant Within-Individual Variability in VCTE Liver Stiffness Measurements at Two Intercostal Spaces in Subjects with MASLD: Implications for Evaluating Improvement in Liver Fibrosis After Weight-Loss or Liver-Directed Therapy

Introduction: Studies have compared the group-averages of liver stiffness measures (LSMs) from multiple rib spaces by vibration-controlled transient elastography (VCTE) to stage liver fibrosis. No previous study has assessed within-individual liver stiffness variation from two rib spaces in individuals with metabolic-dysfunction associated steatotic liver disease (MASLD). Methods: We evaluated within-individual LSM variation according to body weight classification and its clinical implication. From October 2019 to March 2024, VCTE was performed on MASLD patients or those at high risk, in accordance with FibroScan guidelines. The LSMs were categorized into stages: <5 kPa (stage 0), 5–7.99 kPa (stage 1), 8–9.99 kPa (stage 2), 10–13.99 kPa (stage 3), and 14+ kPa (stage 4). Measurements with 10 values and IQR/median ≤ 0.30 were included, using SPSS V25.0 for analysis. Results: Among 1107 subjects (age 54.4 ± 13.9 years, 56.9% female), 7.7% were normal weight, 20.7% overweight, 28.9% class 1 obesity, 21.3% class 2 obesity, and 21.2% class 3 obesity. Significant within-individual variation was noted: 67% (0–2 kPa) variation, 23.4% (2.1–6 kPa), and 10% (≥6.1 kPa). Class 3 obese individuals had the maximum variation. Comparing the group-average of LSM at each ICS site showed that 95% of individuals were within one fibrosis stage. Conclusions: While LSM group-averages at different rib sites provides reliable fibrosis staging, significant within-individual variability exists especially in class 3 obesity. This should be considered when serial LSM assessments are used to assess medical therapeutic efficacy.

Host and Viral Factors Influencing Chronic Hepatitis B Infection Across Three Generations in a Family.

Chronic hepatitis B (CHB) infection is influenced by both virological and host factors. A total of 5,920 CHB patients were classified into four groups based on HBV seromarkers: three-generation families (CHB grandmother, mother, and child), two-generation families (CHB mother/child pairs), individuals recovered from HBV infection, and a control group. Serological markers, viral load, liver function tests (LFT), HBV mutations, HLA-DQ variations, cytokine polymorphisms, and liver stiffness measurements (LSM) were analyzed using FibroScan. Point mutations in genes such as core/pre-core (G1896A/G1899A), polymerase (H248N, H267Q, N263D), S (G145R, S143L), and X (C1500T, T1464C) were observed in 30% of three-generation pairs and 20% of two-generation pairs. The three-generation group exhibited the highest mean liver stiffness measurement (LSM) (4.94 ± 1.24kPa), which is considered a predictor for the development of hepatocellular carcinoma (HCC). Subsequent HLA allele analysis identified HLA-DQB105:01 (OR = 0.27) as a risk factor for treatment resistance, while HLA-DQB105 (OR = 0.98), HLA-DQB103 (OR = 0.80), and HLA-DQB104:01 (OR = 0.70) were associated with HBV persistence in both three- and two-generation groups. Higher frequencies of specific polymorphisms, including G/G (TNF-α: 75%; IL-18: 74%), A/A (IL-10: 74.28%), and C/C (IL-1ß: 80%), were significantly linked to persistent infection. Analysis of viral sequences, HLA-DQB1 variations, cytokine polymorphisms, and genetic relationships within the phylogenetic tree revealed that 40% of CHB patients from three-generation families were infected by a shared source of transmission, as indicated by the presence of the same HBV genotype. This study underscores the complex interplay of host and viral factors that influence hepatitis B infection outcomes and suggests potential familial transmission pathways.

CT and MR Imaging of Hepatocellular Carcinoma and Liver Cirrhosis

Liver masses are routinely evaluated using ultrasonography (US), computed tomography (CT), and magnetic resonance imaging (MRI). MRI may be used for further investigation in cases with atypical findings and difficult diagnoses. Hepatocellular carcinoma (HCC) is a common malignancy, and it is important to know the exact spread and number of HCCs, as there are numerous treatment options. In addition, it is important to know how the differentiations of HCCs are reflected on the images, and what the subtypes of HCCs look like on the images. Elastography with US and MRI is increasingly used to measure liver stiffness, and non-invasive assessment of liver fibrosis is also possible. This review describes the diagnosis of HCC on commonly used CT and MRI, and also touches on the frontiers of imaging diagnosis of liver parenchymal changes such as liver cirrhosis.

Plasma proteomic signatures of liver steatosis and fibrosis in people living with HIV: a cross-sectional study

Insights into the mechanisms driving metabolic dysfunction-associated steatotic liver disease (MASLD) in people living with HIV (PLHIV) remain limited. Plasma proteomics holds promise for biomarker discovery and the elucidation of biological mechanisms. We performed cross-sectional analyses on data from 1036 virally suppressed PLHIV using antiretroviral treatment (ART) from the Dutch multi-centre 2000HIV cohort. Participants underwent transient elastography to assess liver steatosis (controlled attenuation parameter (CAP)≥263dB/m) and -fibrosis (liver stiffness measurement (LSM)≥7.0kPa). Plasma protein concentrations (n=2367) (Olink® Explore Panel) were compared between PLHIV with vs. without liver steatosis and PLHIV with vs. without fibrosis. Enriched pathways (using GO, KEGG and Reactome libraries) and correlations with clinical characteristics wereassessed, and analyses were stratified by BMI category. In addition, concentrations of 242 proteins werecompared between individuals ("controls") with and without liver steatosis (ratio of methylene:methylene and water >5.6% on magnetic resonance spectroscopy) from a separate cohort (300-OB), all having a BMI >26kg/m2. Steatosis and fibrosis were associated with 67/2367 (2.2%) and 17/2367 (0.7%) differentially expressed proteins (DEP), respectively, enriched in mostly metabolic pathways. Immunoglobulin superfamily member 9 (IGSF9) was amongst the top DEP associated with both steatosis and fibrosis. Stratifying by BMI revealed 8/2367 DEP associated with steatosis in lean- and 12/2367 DEP in overweight/obese individuals, with two shared DEP (IGSF9 and GHR). Conversely, protein signatures of overweight/obese PLHIV (32/242 DEP) and overweight/obese HIV-uninfected individuals (32/242 DEP) exhibited substantial overlap with 16 shared DEP. Notably, DEP correlated with HIV characteristics in lean individuals but not in overweight/obese PLHIV. Lean and overweight/obese PLHIV exhibit distinct proteomic signatures associated with liver steatosis, with the former being more strongly correlated with HIV-specific factors and ART. In addition, we identified a protein, IGSF9, strongly related to liver fibrosis and steatosis across BMI categories. The 2000HIV study is funded by ViiV Healthcare.

ICG-r15 predicts esophageal varices in compensated liver cirrhosis: a noninvasive approach

ObjectiveThe aim of our study was to evaluate the indocyanine green (ICG) retention test as a noninvasive marker of esophageal varices(EV).MethodsThe clinical data of patients diagnosed with compensated liver cirrhosis in Tianjin Second People’s Hospital between January 2018 and January 2021 were analysed with SPSS 23.0.ResultA total of 144 patients (88 M/56 F, 51.7 ± 11.06 years) were enrolled. The ICG retention at 15 min(ICG-r15), PVD, TBIL, Cholinesterase(CHE), AST to ALT ratio(ARR), APRI, splenic area, Lok index, Park index and liver stiffness measurement in the absent or small EV group were lower than those in the medium or large EV group, while the ICG disappareance rate(ICG-K), Effective hepatic blood flow(EHBF), ALB, PLT, and Platelet to Spleen Diameter Ratio(PSDR) were higher, and the differences were significant (P < 0.05). ICG-r15, splenic area, APRI and PLT were independent predictors for medium or large esophageal varices (OR = 1.115, 1.025, 0.281, and 0.987, respectively,P < 0.05). The predictive value of ICG-r15 for medium or large varices was 17.95%, the specificity was 0.849, and the sensitivity was 0.662, the AUROC was 0.815. The cut-off value of PLT for M/L EV was 113.5, and the specificity and sensitivity were 0.616 and 0.887, the AUROC was 0.759. The AUROC of ICG-r15 combined with PLT was 0.866, which was more superior than others.ConclusionAlthough we are far from the replacement of endoscopy, ICG-r15 combined with PLT seems to be able to identify patients with medium or large EV in patients with compensated liver cirrhosis.

Body posture can modulate liver stiffness measured by transient elastography: a prospective observational study

BackgroundNon-invasive measurement of liver stiffness (LS), traditionally performed in the supine position, has been established to assess liver fibrosis. However, fibrosis degree is not the sole determinant of LS, necessitating the identification of relevant confounders. One often-overlooked factor is body posture, and it remains unclear whether normal daily postures interfere with LS irrespective of fibrosis. A prospective two-group comparison study was conducted to investigate the relationship between posture and LS.MethodsSixty-two adults participated, divided into two groups: patients with chronic liver disease and healthy controls. Both groups were assessed using transient elastography (TE) under the supine, seated, and standing postures. Randomization was applied to the order of the two upright postures. A two-way mixed ANOVA was conducted to assess the posture-dependence of LS and its variations between two groups.ResultsResults showed that posture differentially affected LS depending on the presence of liver fibrosis. In 31 healthy individuals (baseline LS range: 3.5–6.8 kPa), a transition from the supine (5.0 ± 1.0 kPa) to seated (5.7 ± 1.4 kPa; p = 0.036) or standing (6.2 ± 1.7 kPa; p = 0.002) positions increased LS, indicating liver stiffening. Conversely, in 31 patients with varying fibrosis stages (baseline LS range: 8.8–38.2 kPa), posture decreased LS from the supine (15.9 ± 7.3 kPa) to seated (13.8 ± 6.2 kPa; p < 0.001) or standing (13.9 ± 6.2 kPa; p = 0.001) positions. No significant difference in LS was observed between the seated and standing positions in both groups (control group: 5.7 vs. 6.2 kPa, p = 0.305; patient group: 13.8 vs. 13.9 kPa, p = 1). Additionally, different postures did not elicit significant changes in the success rate (supine, 98.6 ± 4%; seated, 97.6 ± 6%; standing, 99.1 ± 3%; p = 0.258) and IQR/median value (supine, 25 ± 8%; seated, 29 ± 15%; standing, 29 ± 12%; p = 0.117), implying no impact on both measurement feasibility and reliability.ConclusionsWe demonstrated, for the first time, the feasibility of utilizing upright postures as an alternative measurement protocol for TE. We further unravel a previously unrecognized role of transitioning between different postures to assist the diagnosis of cirrhosis. The findings suggested that daily physiological activity of postural changes suffices to alter LS. Therefore, body positioning should be standardized and carefully considered when interpreting LS.

Novel subharmonic-aided pressure estimation for identifying high-risk esophagogastric varices.

Subharmonic-aided pressure estimation (SHAPE) is a technique for determining changes in ambient pressure. We aimed to analyze a novel SHAPE integrated into ultrasound diagnostic equipment to predict patients with liver cirrhosis at high risk of esophagogastric varices (EV). This prospective study included 111 patients with liver cirrhosis diagnosed between 2020 and 2023. We obtained liver stiffness measurements (LSM) and spleen stiffness measurements (SSM) using shear wave elastography and hepatic vein-portal vein (HV-PV) gradient using the SHAPE method. The EV risk was determined either as null, low, or high by esophagoscopy and Child-Pugh stage. HV-PV gradient increased concordantly with the increase in EV risk (-7.0dB in null-risk, -4.4dB in low-risk, and -2.0dB in high-risk) with statistically significant difference among any two groups. The most appropriate cut-off value of the HV-PV gradient was -3.5dB, and sensitivity, specificity, and positive and negative predictive values were 80.0%, 89.0%, 80.0%, and 88.0%, respectively. The areas under the curve values for predicting the high-risk EV were 0.920, 0.843, and 0.824 for the HV-PV gradient, LSM, and SSM, respectively. The novel SHAPE system demonstrated high accuracy in identifying patients with liver cirrhosis at a high risk of EV.

Diagnostic accuracy of FibroScan-AST (FAST) score, non-alcoholic fatty liver fibrosis score (NFS), FibroScan, and liver fibrosis index (FIB-4) for identifying fibrotic non-alcoholic steatohepatitis in patients with chronic hepatitis B with metabolic dysfunction-associated fatty liver disease

Objective To evaluate the diagnostic value of the FibroScan-AST (FAST) score, non-alcoholic fatty liver fibrosis score (NFS), FibroScan, and liver fibrosis index (FIB-4) for identifying fibrotic non-alcoholic steatohepatitis (NASH) in patients with chronic hepatitis B (CHB) with metabolic dysfunction-associated fatty liver disease (MAFLD). Methods All patients with CHB and MAFLD who underwent liver biopsy at the Zhenjiang Third Hospital affiliated with Jiangsu University between August 2010 and December 2022 were included in the analysis. The diagnostic accuracy of FAST, NFS, FibroScan, and FIB-4 for diagnosing NASH and liver fibrosis were evaluated based on the area under the receiver-operating characteristic curve (AUC). Results A total of 156 patients with CHB combined with MAFLD were included, including 69 with NASH and fibrosis stage 2 or higher (NASH+F ≥ 2), and 16 with NASH and cirrhosis (NASH+F4). The AUC of FAST, NFS, liver stiffness measurement (LSM), and FIB-4 for diagnosing NASH+F ≥ 2 was 0.739 (p < 0.001), 0.643 (p = 0.006), 0.754 (p < 0.001), and 0.665 (p = 0.003), respectively. The specificity of FAST, NFS, LSM, and FIB-4 was 67%, 51.8%, 78.6% and 76.8%, respectively, and the sensitivity was 75%, 78.6%, 67.9%, and 53.6%, respectively. No significant differences were found between groups. The AUC of FAST, NFS, LSM, and FIB-4 for diagnosing NASH+F4 was 0.650 (p = 0.038), 0.725 (p = 0.001), 0.851 (p < 0.001), and 0.560 (p = 0.533), respectively. The specificity of the FAST, NFS, LSM, and FIB-4 was 55.9%, 50.0%, 71.6%, and 75.5%, respectively and the sensitivity was 80.0%, 100%, 100%, and 50.0%, respectively. The differences between AUCs of FIB-4 and FAST compared with LSM were 0.291 and 0.201, respectively (p < 0.05). Conclusion In patients with CHB combined with MAFLD, FAST did not have better accuracy than NFS and FIB-4 for predicting fibrotic NASH, whereas LSM had better accuracy than FAST and FIB-4.

Estimating reference intervals from an IPD meta-analysis using quantile regression

BackgroundReference intervals, which define an interval in which a specific proportion of measurements from a healthy population are expected to fall, are commonly used in medical practice. Synthesizing information from multiple studies through meta-analysis can provide a more precise and representative reference interval than one derived from a single study. However, the current approaches for estimating the reference interval from a meta-analysis mainly rely on aggregate data and require parametric distributional assumptions that cannot always be checked.MethodsWith the availability of individual participant data (IPD), non-parametric methods can be used to estimate reference intervals without any distributional assumptions. Furthermore, patient-level covariates can be introduced to estimate personalized reference intervals that may be more applicable to specific patients. This paper introduces quantile regression as a method to estimate the reference interval from an IPD meta-analysis under the fixed effects model.ResultsWe compared several non-parametric bootstrap methods through simulation studies to account for within-study correlation. Under fixed effects model, we recommend keeping the studies fixed and only randomly sampling subjects with replacement within each study. ConclusionWe proposed to use the quantile regression in the IPD meta-analysis to estimate the reference interval. Based on the simulation results, we identify an optimal bootstrap strategy for estimating the uncertainty of the estimated reference interval. An example of liver stiffness measurements, a clinically important diagnostic test without explicitly established reference range in children, is provided to demonstrate the use of quantile regression in estimating both overall and subject-specific reference intervals.

Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease.

Although noninvasive tests can be used to predict liver fibrosis, their accuracy is limited for patients with severe obesity and nonalcoholic fatty liver disease (NAFLD). We developed machine learning (ML) models to predict significant liver fibrosis in patients with severe obesity through noninvasive tests. This prospective study included 194 patients with severe obesity who underwent wedge liver biopsy and metabolic bariatric surgery at Taipei Medical University Hospital between September 2016 and December 2020. Significant liver fibrosis was defined as a fibrosis score ≥ 2. Patients were randomly divided into a training group (70%) and a validation group (30%). ML models, including support vector machine, random forest, k-nearest neighbor, XGBoost, and logistic regression, were trained to predict significant liver fibrosis, using DM status, AST, ALT, ultrasonographic fibrosis scores, and liver stiffness measurements (LSM). An ensemble model including these ML models was also used for prediction. Among the ML models, the XGBoost model exhibited the highest AUROC of 0.77, with a sensitivity, specificity, and accuracy of 61.5%, 75.8%, and 69.5%, in validation set, while LSM, AST, ALT showed strongest effects on the model. The ensemble model outperformed all ML models in terms of sensitivity, specificity, and accuracy of 73.1%, 90.9%, and 83.1%. For patients with severe obesity and NAFLD, the XGBoost model and the ensemble model exhibit high predictive performance for significant liver fibrosis. These models may be used to screen for significant liver fibrosis in this patient group and monitor treatment response after metabolic bariatric surgery.

Hepatic steatosis estimated by VCTE-derived CAP scores was associated with lower risks of liver-related events and all-cause mortality in patients with chronic liver disease.

The Controlled Attenuated Parameter (CAP) score derived from vibration-controlled transient elastography (VCTE, i.e. Fibroscan®) is a well-validated marker of hepatic steatosis. It is unclear if CAP scores are associated with risks of liver-related outcomes or all-cause mortality. In this retrospective cohort study, we identified 7,587 U.S. Veterans (2,689 with cured hepatitis C [HCV], 1,523 with alcohol-associated liver disease [ALD], 3,375 with metabolic dysfunction-associated steatotic liver disease [MASLD]) who underwent VCTE between 5/2015-12/2021. We followed patients for new hepatic decompensation, hepatocellular carcinoma (HCC), and death from the VCTE date until 1/1/2022. Multivariable Cox-proportional hazards regression was used to assess for the associations between CAP measurements and clinical outcomes, adjusting for age, sex, race/ethnicity, body mass index, Charlson Comorbidity Index, diabetes, liver disease etiology, liver stiffness measurements, and FIB-4, and was reported separately by disease etiology and advanced fibrosis status. Over a median follow-up time of ∼1.9 years, hepatic steatosis (grades 1-3 vs. 0) was associated with a lower risk of death (aHR 0.70, 95% CI: 0.57-0.85). Among patients with MASLD, hepatic steatosis was associated with a lower risk of decompensation (aHR 0.54, 95% CI: 0.32-0.90) and death (aHR 0.52, 95% CI: 0.37-0.73). These associations persisted in subgroup analyses of patients with advanced fibrosis and without cirrhosis. Among patients who underwent VCTE in clinical practice, the presence of substantial hepatic steatosis estimated by the CAP score was associated with lower all-cause mortality among all patients and lower risk of decompensation and death among those with MASLD.

Body mass index of 23 or greater is relevant to hepatic steatosis and fibrosis in patients with harmful alcohol use.

Steatotic liver disease, characterized by a combination of metabolic dysfunction, alcohol use, or specific etiologies, is a leading cause of chronic liver disease. However, the role of metabolic dysfunction in chronic liver disease with harmful alcohol use remains unclear. This study aimed to investigate factors associated with hepatic steatosis and fibrosis in patients with harmful alcohol use. Over a 2-year period, we registered patients with harmful alcohol use, defined by an Alcohol Use Disorders Identification Test score of 8 or higher. We retrospectively analyzed background information, blood test results, ultrasound-guided attenuation parameter (attenuation coefficient), and liver stiffness measurement. Hepatic steatosis was defined as attenuation coefficient ≥0.65dB/cm/MHz, and fibrosis as liver stiffness measurement ≥7.5kPa. The study included 131 patients (82% men, median age 59years). Linear regression analysis revealed significant associations with attenuation coefficient for body mass index ≥23 (0.08, p<0.0001) and age (-0.002, p=0.002). Liver stiffness measurement was associated with body mass index ≥23 (2.52, p=0.001), aspartate aminotransferase (0.02, p=0.0189), gamma-glutamyl transpeptidase (0.008, p<0.0001), platelet count (-0.02, p=0.001), and prothrombin international normalized ratio (26.40, p<0.0001). Among the four groups classified by the presence or absence of steatosis and fibrosis, patients with fibrosis, but without steatosis, demonstrated the lowest liver reserve. In contrast, patients with both steatosis and fibrosis showed higher aspartate aminotransferase and gamma-glutamyl transpeptidase levels. Body mass index is associated with both hepatic steatosis and fibrosis in patients with harmful alcohol use.

Hepatocellular Cancer Surveillance in Patients with Advanced Chronic Liver Disease

BackgroundPatients with advanced chronic liver disease (ACLD) are at high risk of developing hepatocellular carcinoma (HCC). Therefore, biannual surveillance is recommended. This large-scale multicenter study aimed to stratify the risk of HCC development in ACLD.MethodsFrom 3016 patients with ACLD screened in 17 European and Chinese centers, 2340 patients with liver stiffness measurement (LSM) determined using different techniques (two-dimensional shear-wave elastography [2D-SWE], transient elastography, and point shear-wave elastography) and with different disease severities were included. Cox regression was used to explore risk factors for HCC. We used these data to create an algorithm, named PLEASE, but referred to in this manuscript as “the algorithm”; the algorithm was validated in internal and two external cohorts across elastography techniques.ResultsHCC developed in 127 (5.4%) patients during follow-up. LSM by 2D-SWE (hazard ratio: 2.28) was found to be associated with developing HCC, alongside age, sex, etiology, and platelet count (C-index: 0.8428). We thus established the algorithm with applicable cutoffs, assigning a maximum of six points: platelet count less than 150×109/l, LSM greater than or equal to 15 kPa, age greater than or equal to 50 years, male sex, controlled/uncontrolled viral hepatitis, or presence of steatotic liver diseases. Within 2 years, with a median follow-up of 13.7 months, patients in the high-risk group (≥4 points) had an HCC incidence of 15.6% (95% confidence interval [CI], 12.1% to 18.7%) compared with the low-risk group, at 1.7% (95% CI, 0.9% to 2.5%).ConclusionsOur algorithm stratified patients into two groups: those at higher risk of developing HCC and those at lower risk. Our data provide equipoise to test the prospective utility of the algorithm with respect to clinical decisions about screening patients with ACLD for incident HCC. (Funded by the German Research Foundation and others; ClinicalTrials.gov number, NCT03389152.)

Association between Body Fat Distribution and Nonalcoholic Fatty Liver Disease/Fibrosis Based on Race/Ethnicity.

Body fat distribution may impact nonalcoholic fatty liver disease (NAFLD) and significant fibrosis differently according to race/ethnicity. We determined the relationship between body fat distribution and NAFLD/significant fibrosis according to race/ethnicity. A cross-sectional study of 2,395 participants used the National Health and Nutrition Examination Survey 2017 to 2018. NAFLD and significant fibrosis (≥F2) were defined by controlled attenuation parameter scores and liver stiffness measurements on transient elastography, respectively. Visceral and subcutaneous fat volumes were defined by dual-energy X-ray absorptiometry. The odds ratio (OR) for NAFLD per 1-standard deviation in visceral fat volume and subcutaneous fat volume was 2.31 (95% confidence interval [CI], 1.50 to 3.39) and 1.93 (95% CI, 1.43 to 2.61) in total population, respectively. Visceral fat in non-Hispanic Blacks had the highest odds for NAFLD (OR, 2.86; 95% CI, 1.45 to 5.62), and non-Hispanic Whites (OR, 2.29; 95% CI, 1.19 to 4.40) and non-Hispanic Asians (OR, 1.61; 95% CI, 1.13 to 2.29) were in order. Significant associations between subcutaneous fat volume (OR, 2.10; 95% CI, 1.34 to 3.29; P=0.003) or visceral fat volume (OR, 1.35; 95% CI, 1.05 to 1.73; P=0.023) and significant fibrosis were noted among individuals with NAFLD. Hispanics had the highest odds for NAFLD-associated significant fibrosis (OR, 2.74; 95% CI, 1.32 to 5.70), and non-Hispanic Whites (OR, 2.35; 95% CI, 1.11 to 4.98) and non-Hispanic Asians (OR, 2.01; 95% CI, 1.01 to 4.01) were in order. Visceral adiposity was associated with NAFLD and significant fibrosis despite the association of subcutaneous adiposity in NAFLD and significant fibrosis. Racial/ethnic differences in the association between body fat distribution on NAFLD and significant fibrosis were noted.

Association between changes in body composition and progression of liver fibrosis in patients with type 2 diabetes mellitus.

The correlation between type 2 diabetes mellitus (T2DM) and the occurrence of liver fibrosis is well-established. However, the longitudinal association between body composition and liver fibrosis progression in patients with T2DM remains incompletely explored. Total of 390 patients with T2DM underwent body composition assessments, followed by a median duration of 2.13 years. The calculated parameters included body mass index (BMI), fat mass index (FMI), trunk fat mass index (TFMI), appendicular skeletal muscle mass index (ASMI), muscle/fat mass ratio (M/F) and appendicular skeletal muscle mass/trunk fat mass ratio (A/T). Liver fibrosis was evaluated through liver stiffness measurement (LSM). Patients were classified according to BMI and body composition, followed by a comprehensive investigation into the impact of body composition changes on liver fibrosis outcomes. Among 72 patients with incident advanced liver fibrosis at readmission, ΔBMI, ΔFMI and ΔTFMI increased, while ΔM/F and ΔA/T decreased. Individuals who kept obese had a dramatically elevated hazard of incident advanced liver fibrosis compared to those who kept non-obese, with an adjusted odds ratio of 3.464. When TFMI heightened, the hazard of incident advanced liver fibrosis was 3.601 times higher compared to the decreased group. Additionally, individuals in increased ASMI and A/T groups showed a slight advantage in preventing incident advanced liver fibrosis compared to the stable groups. Stable obesity was associated with a greater hazard of liver fibrosis advancement, and an increase in TFMI may promote the progression of liver fibrosis. Maintaining a balanced muscle/fat ratio appeared to help prevent the progression.

Current strategies for predicting post-hepatectomy liver failure and a new ultrasound-based nomogram

Liver cancer is associated with a few factors, such as viruses and alcohol consumption, and hepatectomy is an important treatment for patients with liver cancer. However, post-hepatectomy liver failure (PHLF) is the most serious complication and has a high mortality rate. Effective prediction of PHLF allows for the adjustment of clinical treatment strategies and is critical to the long-term prognosis of patients. Many factors have been associated with the development of PHLF, so there is an increasing interest in the development of predictive models for PHLF, such as nomograms that integrate intra-operative factors, imaging and biochemical characteristics of the patient. Ultrasound, as a simple and important examination method, plays an important role in predicting PHLF, especially the Nomogram established based on ultrasound measurements of liver stiffness and spleen area provides a more convenient way to predict the occurrence of PHLF.

MASLD in persons with HIV is associated with high cardiometabolic risk as evidenced by altered advanced lipoprotein profiles and targeted metabolomics

BackgroundMetabolic dysfunction associated steatotic liver disease (MASLD) is associated with increased cardiovascular disease (CVD) risk in persons with HIV (PWH). The lipidomic and metabolomic alterations contributing to this risk are poorly understood. We aimed to characterize the advanced lipoprotein and targeted metabolomic profiles in PWH and assess if the presence and severity of MASLD influence these profiles.MethodsThis is a cross-sectional analysis of a prospectively enrolled multicenter cohort. PWH without alcohol abuse or known liver disease underwent vibration-controlled transient elastography for controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Lipidomic and metabolomic profiling was undertaken with nuclear magnetic resonance (NMR) spectroscopy. Hepatic steatosis was defined as CAP ≥ 263 dB/m and clinically significant fibrosis (CSF) as LSM ≥ 8 kPa. Logistic regression models assessed associations between MASLD, CSF and lipidomic and metabolic parameters.ResultsOf 190 participants (71% cisgender male, 96% on antiretroviral therapy), 58% had MASLD and 12% CSF. Mean (SD) age was 48.9 (12.1) years and body mass index (BMI) 29.9 (6.4) kg/m2. Compared to PWH without MASLD (controls), PWH with MASLD had lower HDL-C but higher total triglyceride, VLDL-C, branched-chain amino acids, GlycA, trimethylamine N-oxide levels, Lipoprotein-Insulin Resistance and Diabetes Risk Indices. There were no significant differences in these parameters between participants with MASLD with or without CSF. In a multivariable regression analysis, MASLD was independently associated with changes in most of these parameters after adjustment for age, gender, race/ethnicity, type 2 diabetes mellitus, BMI, and lipid lowering medications use.ConclusionsMASLD in PWH is independently associated with altered advanced lipoprotein and targeted metabolic profiles, indicating a higher CVD risk in this population.

Diagnostic insights into splenic pathologies: the role of multiparametric ultrasound.

Ultrasound(US) evaluation of the spleen is mandatory in the assessment of patients with chronic liver disease, and splenomegaly can be a sign of systemic diseases. However, due to the lack of distinctive ultrasound findings in specific splenic pathologies, clinical diagnosis can be very challenging. Splenomegaly, defined by increased splenic dimensions, can indicate underlying systemic conditions and is a common manifestation of portal hypertension (PH). Ultrasound and Doppler techniques help assessing splenic involvement in PH. Splenic stiffness measurement, using elastography, offers additional diagnostic accuracy, especially when liver stiffness measurements are inconclusive. CEUS enhances the diagnostic capability for focal splenic lesions, differentiating between benign and malignant lesions by their distinct enhancement patterns, and plays also a critical role in the context of splenic traumatic pathology. Overall, CEUS significantly improves the characterization of splenic pathology, reducing the need for invasive procedures and ensuring appropriate patient management. This review article describes the normal US findings of the spleen and examines the role of multiparametric US in the evaluation of the most common splenic pathologies encountered in the daily clinical practice.

A multi-institutional study on Ultrasound image analysis for staging HBV-derived liver fibrosis: a potential non-invasive alternative to liver stiffness measurement

Background: Liver stiffness measurement is principal for staging liver fibrosis but not included in routine examinations. We investigated whether comparable diagnostic performance can be achieved by mining ultrasound images and developing a novel serum index (NSI). Methods: Texture features were extracted from ultrasound images. Spearman correlation and logistics regression selected independent variables for significant (F≥2) and advanced (F≥3) fibrosis. We compared the diagnostic performance of transient elastography (TE), ultrasound image biomarker (UIB), conventional serum indices (APRI, FIB-4, GPR), and NSI in 365 chronic hepatitis B patients. Results: Among patients, 52.1% had significant fibrosis and 24.2% had advanced fibrosis. PLT, GGT, prealbumin, and globulin were incorporated into NSI. In the validation group, TE achieved the best performance (AUC: 0.765 [0.690-0.849] for significant fibrosis; 0.812 [0.745-0.878] for advanced fibrosis), followed by UIB (AUC: 0.712 [0.629-0.795]; 0.678 [0.595-0.763]) and NSI (AUC: 0.630 [0.534-0.725]; 0.659 [0.572-0.745]), outperforming conventional indices. Conclusions: Texture analysis enhances ultrasound's diagnostic utility, but TE remains superior. When TE is unavailable, ultrasound image analysis and NSI, incorporating prealbumin, can serve as alternative tools for fibrosis staging.

Erratum: Comparing serial and current liver stiffness measurements to predict decompensation in compensated advanced chronic liver disease patients.

Erratum: Comparing serial and current liver stiffness measurements to predict decompensation in compensated advanced chronic liver disease patients.