scholarly journals Ishak Score Unknown

2020 ◽  
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Ishak Score

scholarly journals Ishak Score 1-2

2020 ◽  
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Ishak Score

scholarly journals Ishak Score 3

2020 ◽  
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Ishak Score

scholarly journals Ishak Score 4

2020 ◽  
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Ishak Score

scholarly journals Strain elastography for noninvasive assessment of liver fibrosis: A prospective study with histological comparison

Ultrasound ◽  
2019 ◽  
Vol 27 (4) ◽  
pp. 262-271
Author(s):  
Cheng Fang ◽  
Sanjiv Virdee ◽  
Joseph Jacob ◽  
Olivia Rufai ◽  
Kosh Agarwal ◽  
...  
Keyword(s):  
Liver Disease ◽  
Liver Fibrosis ◽  
Chronic Liver Disease ◽  
Aspartate Aminotransferase ◽  
Diagnostic Performance ◽  
Transient Elastography ◽  
Liver Stiffness ◽  
Strain Elastography ◽  
Ishak Score ◽  
Severe Fibrosis

The aim of this study was to prospectively evaluate the diagnostic performance of strain elastography for the assessment of liver fibrosis in patients with chronic liver disease using Ishak (0–6) histology stage as a reference standard. Ninety-eight consecutive patients with suspected chronic liver disease scheduled for liver biopsy (n = 78) or histologically confirmed cirrhosis (n = 20) were enrolled. Liver fibrosis Index (LF Index) calculated by strain elastography, liver stiffness by transient elastography and serum fibrosis markers (aspartate aminotransferase-to-platelet ratio index and King’s Score) were measured. Spearman’s correlation coefficient between the LF Index, liver stiffness, serum fibrosis markers and fibrosis stage were calculated and compared using areas under the receiver-operating characteristics (AUROCs) curves. Among 73 patients who underwent strain elastography, there was weak correlation between fibrosis stage and the LF Index (Spearman’s: ρ = 0.385 for Ishak score; P = 0.001). Among 52 patients who underwent strain elastography and transient elastography, the AUROC values using LF Index, transient elastography, aspartate aminotransferase-to-platelet ratio index and King’s Score for diagnosing significant fibrosis (Ishak score ≥ 3) were 0.79, 0.87, 0.86 and 0.85, respectively ( P < 0.0001) and for diagnosing severe fibrosis/cirrhosis (Ishak score ≥ 5) were 0.83, 0.94, 0.92 and 0.92, respectively ( P < 0.0001). When comparing the diagnostic performance using LF Index, transient elastography, aspartate aminotransferase-to-platelet ratio index and King’s Score, transient elastography shows a significantly higher AUROC value than LF Index in detecting severe fibrosis ( P = 0.0149). The diagnostic performance of LF Index calculated by strain elastography was not statistically significantly different to the other noninvasive tests for the assessment of significant liver fibrosis but inferior to transient elastography for the assessment of severe fibrosis/cirrhosis.

scholarly journals Water-Soluble Pristine C60 Fullerenes Inhibit Liver Fibrotic Alteration and Prevent Liver Cirrhosis in Rats

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Halyna Kuznietsova ◽  
Natalia Dziubenko ◽  
Vasyl Hurmach ◽  
Iryna Chereschuk ◽  
Olexandr Motuziuk ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Liver Cirrhosis ◽  
Growth Factor ◽  
Liver Fibrosis ◽  
Growth Factor Receptors ◽  
Water Soluble ◽  
Colloid Solution ◽  
Signal Pathways ◽  
Ishak Score ◽  
The Impact

Liver cirrhosis is an outcome of a wide range of liver chronic diseases. It is attributed to oxidative stress; therefore, antioxidant usage could be a promising treatment of that. So, exploring the impact of effective free radical scavenger pristine C60 fullerenes on liver fibrosis and cirrhosis and their ability to interact with main growth factor receptors involved in liver fibrogenesis was aimed to be discovered. We used N-diethylnitrosamine/carbon tetrachloride-induced simulations of rat liver fibrosis (10 weeks) and cirrhosis (15 weeks). Pristine C60 fullerene aqueous colloid solution (C60FAS) was injected daily at a dose of 0.25 mg/kg throughout the experiment. Liver morphology and functional and redox states were assessed. C60 fullerenes’ ability to interact with epidermal, vasoendothelial, platelet-derived, and fibroblast growth factor receptors (EGFR, VEGFR, PDGFR, and FGFR, respectively) was estimated by computational modeling. We observed that C60FAS reduced the severity of fibrosis in fibrotic rats (0.75 vs. 3.0 points according to Ishak score), attenuated the hepatocyte injury, normalized elevated blood serum alkaline phosphatase (ALP) and lactate dehydrogenase (LDH), and mitigated oxidative stress manifestation in liver tissue restoring its redox balance. When applied to cirrhotic animals, C60FAS reduced connective tissue deposition as well (2.4 vs. 5.4 points according to Ishak score), diminished ALP and LDH (by 16% and 61%), and normalized conjugated and nonconjugated bilirubin, restoring the liver function. Altered liver lipid and protein peroxides and glutathione peroxidase activity were also leveled. Within a computer simulation, it was shown that C60 fullerenes can block hinge prohibiting ATP binding for EGFR and FGFR and thus blocking associated signal pathways. This ability in addition to their antioxidant properties may contribute to C60 fullerene’s antifibrotic action. Thus, C60FAS may have a substantial therapeutic potential as an inhibitor of liver fibrosis and cirrhosis.

scholarly journals Prediction of Liver Fibrosis and Cirrhosis in Chronic Hepatitis B Infection by Serum Proteomic Fingerprinting: A Pilot Study

2005 ◽  
Vol 51 (2) ◽  
pp. 328-335 ◽  
Author(s):  
Terence CW Poon ◽  
Alex Y Hui ◽  
Henry LY Chan ◽  
Irene Ling Ang ◽  
Shuk Man Chow ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Liver Fibrosis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Cross Validation ◽  
Serum Proteins ◽  
International Normalized Ratio ◽  
Ann Model ◽  
Clinical Value ◽  
Ishak Score

Abstract Background: Most noninvasive predictive models of liver fibrosis are complicated and have suboptimal sensitivity. This study was designed to identify serum proteomic signatures associated with liver fibrosis and to develop a proteome-based fingerprinting model for prediction of liver fibrosis. Methods: Serum proteins from 46 patients with chronic hepatitis B (CHB) were profiled quantitatively on surface-enhanced laser desorption/ionization (SELDI) ProteinChip arrays. The identified liver fibrosis-associated proteomic fingerprint was used to construct an artificial neural network (ANN) model that produced a fibrosis index with a range of 0–6. The clinical value of this index was evaluated by leave-one-out cross-validation. Results: Thirty SELDI proteomic features were significantly associated with the degree of fibrosis. Cross-validation showed that the ANN fibrosis indices derived from the proteomic fingerprint strongly correlated with Ishak scores (r = 0.831) and were significantly different among stages of fibrosis. ROC curve areas in predicting significant fibrosis (Ishak score ≥3) and cirrhosis (Ishak score ≥5) were 0.906 and 0.921, respectively. At 89% specificity, the sensitivity of the ANN fibrosis index in predicting fibrosis was 89%. The sensitivity for prediction increased with degree of fibrosis, achieving 100% for patients with Ishak scores &gt;4. The accuracy for prediction of cirrhosis was also 89%. Inclusion of International Normalized Ratio, total protein, bilirubin, alanine transaminase, and hemoglobin in the ANN model improved the predictive power, giving accuracies &gt;90% for the prediction of fibrosis and cirrhosis. Conclusions: A unique serum proteomic fingerprint is present in the sera of patients with fibrosis. An ANN fibrosis index derived from this fingerprint could differentiate between different stages of fibrosis and predict fibrosis and cirrhosis in CHB infection.

scholarly journals High-Throughput Quantitative Profiling of Serum N-Glycome by MALDI-TOF Mass Spectrometry and N-Glycomic Fingerprint of Liver Fibrosis

2007 ◽  
Vol 53 (7) ◽  
pp. 1254-1263 ◽  
Author(s):  
Richard KT Kam ◽  
Terence CW Poon ◽  
Henry LY Chan ◽  
Nathalie Wong ◽  
Alex Y Hui ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liver Fibrosis ◽  
High Throughput ◽  
Quantitative Aspect ◽  
Diagnostic Model ◽  
Maldi Tof Ms ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof ◽  
Ishak Score ◽  
Tof Ms

Abstract Background: The use of MALDI-TOF mass spectrometry (MS) in quantitative glycan profiling has not been reported. In this study, we attempted to establish a high-throughput quantitative assay for profiling serum N-glycome, and we applied the new assay to identifying serum N-glycans for diagnosis of liver fibrosis and cirrhosis. Methods: N-glycans from whole serum proteins in 2 μL serum were released by enzymatic digestion, cleaned up by hydrophilic chromatography, and subsequently quantitatively profiled with a linear MALDI-TOF MS system, which was originally designed for quantitative proteomic profiling. Serum N-glycome profiles from 46 patients with chronic hepatitis B infection and with different degrees of liver fibrosis were examined. Results: The intra- and interassay CVs of peak intensities of the standard N-glycans were &lt;8% and &lt;17%, respectively. When the assay was applied to the analysis of serum N-glycome profiles, 17 peaks were found to be potential biomarkers for detection of liver fibrosis/cirrhosis. Linear regression analysis revealed that 4 peaks of 1341.5, 1829.7, 1933.3, and 2130.3 m/z (all P &lt;0.005) had complementary value in detecting liver fibrosis and included them, but not any serological markers, in the diagnostic model. Leave-one-out cross-validation showed the diagnostic model could identify significant fibrosis (Ishak score ≥3) and cirrhosis (Ishak score ≥5), both at 85% accuracy. Conclusion: This is the first study to illustrate the quantitative aspect of MALDI-TOF MS in N-glycome profiling and the first study to reveal the potential value of the serum N-glycan profile for identifying liver fibrosis.

scholarly journals Ishak Score 3-4

2020 ◽  
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Ishak Score
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