scholarly journals Algorithm to rule out clinically significant portal hypertension combining Shear-wave elastography of liver and spleen: a prospective multicentre study

Gut ◽  
2016 ◽  
Vol 65 (6) ◽  
pp. 1057-1058 ◽  
Author(s):  
Christian Jansen ◽  
Christopher Bogs ◽  
Wim Verlinden ◽  
Maja Thiele ◽  
Philipp Möller ◽  
...  
2016 ◽  
Vol 37 (3) ◽  
pp. 396-405 ◽  
Author(s):  
Christian Jansen ◽  
Christopher Bogs ◽  
Wim Verlinden ◽  
Maja Thiele ◽  
Philipp Möller ◽  
...  

Author(s):  
Francesca Saffioti ◽  
Davide Roccarina ◽  
Matteo Rosselli ◽  
Roberta Stupia ◽  
Aileen Marshall ◽  
...  

2019 ◽  
Vol 41 (05) ◽  
pp. 526-533
Author(s):  
Horia Stefanescu ◽  
Corina Rusu ◽  
Monica Lupsor-Platon ◽  
Oana Nicoara Farcau ◽  
Petra Fischer ◽  
...  

Abstract Purpose Clinically significant portal hypertension (CSPH) is responsible for most of the complications in patients with cirrhosis. Liver stiffness (LS) measurement by vibration-controlled transient elastography (VCTE) is currently used to evaluate CSPH. Bi-dimensional shear wave elastography from General Electric (2D-SWE.GE) has not yet been validated for the diagnosis of PHT. Our aims were to test whether 2D-SWE.GE-LS is able to evaluate CSPH, to determine the reliability criteria of the method and to compare its accuracy with that of VCTE-LS in this clinical setting. Materials and Methods Patients with chronic liver disease referred to hepatic catheterization (HVPG) were consecutively enrolled. HVPG and LS by both VCTE and 2D-SWE.GE were performed on the same day. The diagnostic performance of each LS method was compared against HVPG and between each other. Results 2D-SWE.GE-LS was possible in 123/127 (96.90 %) patients. The ability to record at least 5 LS measurements by 2D-SWE.GE and IQR < 30 % were the only features associated with reliable results. 2D-SWE.GE-LS was highly correlated with HVPG (r = 0.704; p < 0.0001), especially if HVPG < 10 mmHg and was significantly higher in patients with CSPH (15.52 vs. 8.14 kPa; p < 0.0001). For a cut-off value of 11.3 kPa, the AUROC of 2D-SWE.GE-LS to detect CSPH was 0.91, which was not inferior to VCTE-LS (0.92; p = 0.79). The diagnostic accuracy of LS by 2D-SWE.GE-LS to detect CSPH was similar with the one of VCTE-LS (83.74 % vs. 85.37 %; p = 0.238). The diagnostic accuracy was not enhanced by using different cut-off values which enhanced the sensitivity or the specificity. However, in the subgroup of compensated patients with alcoholic liver disease, 2D-SWE.GE-LS classified CSPH better than VCTE-LS (93.33 % vs. 85.71 %, p = 0.039). Conclusion 2D-SWE.GE-LS has good accuracy, not inferior to VCTE-LS, for the diagnosis of CSPH.


2018 ◽  
Vol 210 (5) ◽  
pp. W185-W195 ◽  
Author(s):  
Chong Hyun Suh ◽  
Kyung Won Kim ◽  
Seong Ho Park ◽  
Seung Soo Lee ◽  
Ho Sung Kim ◽  
...  

2019 ◽  
Vol 156 (6) ◽  
pp. S-1052
Author(s):  
Speranta Iacob ◽  
Razvan Iacob ◽  
Cristian Gheorghe ◽  
Liana Gheorghe

Gut ◽  
2018 ◽  
Vol 68 (4) ◽  
pp. 729-741 ◽  
Author(s):  
Kun Wang ◽  
Xue Lu ◽  
Hui Zhou ◽  
Yongyan Gao ◽  
Jian Zheng ◽  
...  

ObjectiveWe aimed to evaluate the performance of the newly developed deep learning Radiomics of elastography (DLRE) for assessing liver fibrosis stages. DLRE adopts the radiomic strategy for quantitative analysis of the heterogeneity in two-dimensional shear wave elastography (2D-SWE) images.DesignA prospective multicentre study was conducted to assess its accuracy in patients with chronic hepatitis B, in comparison with 2D-SWE, aspartate transaminase-to-platelet ratio index and fibrosis index based on four factors, by using liver biopsy as the reference standard. Its accuracy and robustness were also investigated by applying different number of acquisitions and different training cohorts, respectively. Data of 654 potentially eligible patients were prospectively enrolled from 12 hospitals, and finally 398 patients with 1990 images were included. Analysis of receiver operating characteristic (ROC) curves was performed to calculate the optimal area under the ROC curve (AUC) for cirrhosis (F4), advanced fibrosis (≥F3) and significance fibrosis (≥F2).ResultsAUCs of DLRE were 0.97 for F4 (95% CI 0.94 to 0.99), 0.98 for ≥F3 (95% CI 0.96 to 1.00) and 0.85 (95% CI 0.81 to 0.89) for ≥F2, which were significantly better than other methods except 2D-SWE in ≥F2. Its diagnostic accuracy improved as more images (especially ≥3 images) were acquired from each individual. No significant variation of the performance was found if different training cohorts were applied.ConclusionDLRE shows the best overall performance in predicting liver fibrosis stages compared with 2D-SWE and biomarkers. It is valuable and practical for the non-invasive accurate diagnosis of liver fibrosis stages in HBV-infected patients.Trial registration numberNCT02313649; Post-results.


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