Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. This study aimed to evaluate the performance of four ultrasound-based techniques for the non-invasive multiparametric (MPUS) assessment of liver fibrosis (LF), steatosis (HS), and inflammation in patients with NAFLD. We included 215 consecutive adult patients with NAFLD (mean age: 54.9 ± 11.7; 54.5% were male), in whom LF, HS, and viscosity were evaluated in the same session using four new ultrasound-based techniques embedded on the Aixplorer MACH 30 system: ShearWave Elastography (2D-SWE.PLUS), Sound Speed Plane-wave UltraSound (SSp.PLUS), Attenuation Plane-wave UltraSound (Att.PLUS), and Viscosity Plane-wave UltraSound (Vi.PLUS). Transient Elastography (TE) with Controlled Attenuation Parameter (CAP) (FibroScan) were considered as control. All elastographic measurements were performed according to guidelines. Valid liver stiffness measurements (LSM) were obtained in 98.6% of patients by TE, in 95.8% of patients by 2D-SWE.PLUS/Vi.PLUS, and in 98.1% of patients by Att.PLUS/SSp.PLUS, respectively. Therefore, 204 subjects were included in the final analysis. A strong correlation between LSMs by 2D-SWE.PLUS and TE (r = 0.89) was found. The best 2D-SWE.PLUS cut-off value for the presence of significant fibrosis (F ≥ 2) was 7 kPa. Regarding steatosis, SSp.PLUS correlated better than Att.PLUS with CAP values: (r = −0.74) vs. (r = 0.45). The best SSp.PLUS cut-off value for predicting the presence of significant steatosis was 1524 m/s. The multivariate regression analysis showed that Vi.PLUS values were associated with BMI and LSM by 2D-SWE.PLUS. In conclusion, MPUS was useful for assessing fibrosis, steatosis, and inflammation in a single examination in patients with NAFLD.
(1) Background: Patients suffering from the novel coronavirus 2019 (COVID-19) disease could experience several extra-pulmonary involvements, including cardiovascular complications and liver injury. This study aims to evaluate the presence of cardiac and liver alterations in patients with post-acute COVID-19 syndrome using transthoracic echocardiography (TTE) and liver elastography (LE). (2) Methods: A total of 97 subjects recovering from COVID-19, attending the hospital’s specialized outpatient clinic for persisting symptoms at 3 to 11 weeks after the acute illness, were included in this study. They all had a basal COVID-19 assessment, and subsequently, a clinical evaluation, laboratory tests, TTE, and LE. (3) Results: considering the presence of pulmonary injury during COVID-19, patients were divided into two groups. Although none of them had altered systolic function, we evidenced pulmonary hypertension, diastolic dysfunction, increased liver stiffness, viscosity, and steatosis in around one-third of the patients, with significantly higher values in subjects with pulmonary injury compared to those without. (4) Conclusion: persisting symptoms characterizing the post-acute COVID-19 syndrome could be explained by residual cardiac and hepatic lesions, which were worse in more severe COVID-19 forms. These patients may be at risk of developing liver fibrosis and cardiac alterations and should be investigated in the first 12 weeks after the onset of the infection.
Aim: Nonalcoholic Fatty Liver Disease (NAFLD) is increasing in frequency in daily practice and evaluation of liver steatosis, fibrosis and inflammation severity are essential for prognosis assessment. The aim was to evaluate the usefulness of a new liver steatosis quantification system - Ultrasound-Guided Attenuation Parameter (UGAP) from General Electric Healthcare, using Controlled Attenuation Parameter (CAP) as the reference method.Material and method: 179 consecutive subjects, in whom liver steatosis was assessed in the same session using UGAP, implemented on LOGIQ E10 system (GE Healthcare), and CAP (FibroScan, EchoSens). To discriminate between steatosis stages by CAP, we used the cut-offs recommended by the manufacturer: S1 (mild) – 230 dB/m, S2 (moderate) – 275 dB/m, S3 (severe) – 300 dB/m.Results: We classified our cohort by means of CAP into the following groups: S0 (no steatosis): 48/176 (27.2%), S1 (mild): 56/176 (31.6%), S2 (moderate): 14/176 (7.3%) and S3 (severe): 59/176 (33.9%). The mean UGAP values increased with the steatosis grade and for each group were the following: S0: 198.3±25.7 dB/m, S1: 216.86±26.3 dB/m, S2: 237.79±26.3 dB/m, and S3: 270.8±31.62 dB/m respectively (p<0.001). A very good positive correlation was found between UGAP and CAP values (r=0.73, p<0.0001). The best cut-off values for predicting different grades of liver steatosis using CAP as the reference were: S1 - 192.5 dB/m (AUC 0.83); S2 – 231 dB/m (AUC 0.90) and S3 – 248 dB/m (AUC 0.91).Conclusion: UGAP seems to be a good method for liver steatosis quantification and correlates strongly with CAP values.
Aim: To evaluate the range of liver stiffness (LS) cut-off values for predicting different stages of liver fibrosis (LF) for 2D-SWE-GE implemented on three different systems from General Electric Healthcare (LOGIQ E9, LOGIQ S8, LOGIQ P9).Material and method: We performed a comparative study evaluating the performance of 2D-SWE-GE (LOGIQ E9, S8, P9) for predicting different stages of LF using Transient Elastography (TE) as the reference method. All patients (with or without chronic hepatopathies) were evaluated by TE, 331 patients were included in the LOGIQ E9 study, 179 in the LOGIQ S8 study and 234 in the LOGIQ P9 study. Reliable liver stiffness measurements (LSM) were defined for TE as the median value of 10 measurements with an interquartile range/median ratio (IQR/M)≤0.30 and for 2D-SWE-GE as the median value of 10 measurements and IQR/M≤0.30.Results: Reliable LSM was obtained by both methods in 91.5% subjects of the LOGIQ E9 group, in 95.5% subjects from the LOGIQ S8 group and in 87.6% subjects in the LOGIQ P9 group. The performance of 2DSWE-GE for predicting F≥2 with LOGIQ E9, LOGIQ S8 and LOGIQ P9 systems were: cut-offs 6.7 kPa, 6.9 kPa and 6.8 kPa; AUCs 0.95, 0.92 and 0.93. For predicting F≥3, the performances were: cut-offs – 8.2 kPa, 8.2 kPa and 7.6 kPa; AUCs - 0.97, 0.93 and 0.94. For predicting F4, the performances were: cut-offs – 9.3 kPa, 9.3 kPa and 9.3 kPa; AUCs - 0.96, 0.91 and 0.91.Conclusion: The LS cut-off values for 2D-SWE-GE implemented on different systems for predicting F≥2, F≥3 and F=4 are not significantly different.
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