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Ensemble for evaluating diagnostic efficacy of non-invasive indices in predicting liver fibrosis in untreated hepatitis C virus population

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World Journal of Methodology 2024年第3期14卷 90-105页

作者： Navneet Kaur Gitanjali Goyal Ravinder Garg chaitanya tapasvi Umit Demirbaga Department of Biochemistry Guru Gobind Singh Medical College and HospitalFaridkot 151203PunjabIndia Department of Biochemistry All India Institute of Medical SciencesBathinda 151005PunjabIndia Department of Medicine Guru Gobind Singh Medical College and HospitalBaba Farid University of Health SciencesFaridkot 151203PunjabIndia Department of Radiodiagnosis Guru Gobind Singh Medical College and HospitalBaba Farid University of Health SciencesFaridkot 151203India Department of Computer Engineering Bartin UniversityBartin 74100Türkiye Department of Medicine University of CambridgeCambridge CB20QQUnited Kingdom European Bioinformatics Institute Wellcome GenomeCambridge CB101SDUnited Kingdom

BACKGROUND Hepatitis C virus(HCV)infection progresses through various phases,starting with inflammation and ending with hepatocellular *** are several invasive and non-invasive methods to diagnose chronic HCV *** invasive methods have their benefits but are linked to morbidity and ***,it is important to analyze the potential of non-invasive methods as an *** wave elastography(SWE)is a non-invasive imaging tool widely validated in clinical and research studies as a surrogate marker of liver *** fibrosis determination by invasive liver biopsy and non-invasive SWE agree closely in clinical studies and therefore both are gold *** To analyzed the diagnostic efficacy of non-invasive indices[serum fibronectin,aspartate aminotransferase to platelet ratio index(APRI),alanine aminotransferase ratio(AAR),and fibrosis-4(FIB-4)]in relation to *** have used an Artificial Intelligence method to predict the severity of liver fibrosis and uncover the complex relationship between non-invasive indices and fibrosis *** We have conducted a hospital-based study considering 100 untreated patients detected as HCV positive using a quantitative Real-Time Polymerase Chain Reaction *** performed statistical and probabilistic analyses to determine the relationship between non-invasive indices and the severity of *** also used standard diagnostic methods to measure the diagnostic accuracy for all the *** The results of our study showed that fibronectin is a highly accurate diagnostic tool for predicting fibrosis stages(mild,moderate,and severe).This was based on its sensitivity(100%,92.2%,96.2%),specificity(96%,100%,98.6%),Youden’s index(0.960,0.922,0.948),area under receiver operating characteristic curve(0.999,0.993,0.922),and Likelihood test(LR+>10 and LR-200),AAR(>1),APRI(>3),and FIB-4(>4)were all strongl

关键词： Hepatitis C virus Non-invasive biomarkers Shear wave elastography Fibronectin Bayesian network Machine learning Liver fibrosis

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Potential role of noninvasive biomarkers during liver fibrosis

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World Journal of Hepatology 2021年第12期13卷 1919-1935页

作者： Navneet Kaur Gitanjali Goyal Ravinder Garg chaitanya tapasvi Sonia Chawla Rajneet Kaur Department of Biochemistry Guru Gobind Singh Medical College and HospitalBaba Farid University of Health SciencesFaridkot 151203PunjabIndia Department of Medicine Guru Gobind Singh Medical College and HospitalBaba Farid University of Health SciencesFaridkot 151203PunjabIndia Department of Radiodiagnosis Guru Gobind Singh Medical College and HospitalBaba Farid University of Health SciencesFaridkot 151203PunjabIndia

Various types of liver disease exist,such as hepatitis and alcoholic liver *** liver diseases can result in scarring of liver tissue,cirrhosis,and finally liver *** liver fibrosis,there is an excess and disorganized accumulation of extracellular matrix(ECM)components which cause the loss of normal liver cell *** patients with chronic liver disease,fibrosis prediction is an essential part of the assessment and *** diagnose liver fibrosis,several invasive and noninvasive markers have been ***,the adoption of invasive markers remains limited due to their inherent characteristics and poor patient acceptance *** contrast,noninvasive markers can expedite the clinical decision through informed judgment about disease stage and *** noninvasive markers are classified into two types:Imaging techniques and serum ***,the diagnostic values of biomarkers associated with liver fibrosis have also been *** example,the serum levels of ECM proteins can react to either matrix accumulation or *** virus-host interactions,several regulatory steps take place to control gene expression,such as the change in cellular microRNA expression *** are a class of non-coding RNAs(18-20 long nucleotides)that function by post-transcriptional regulation of gene *** various noninvasive markers have been suggested in recent years,certain limitations have restricted their clinical *** the potential of non-invasive biomarkers as a therapeutic option to treat liver fibrosis is still in progress.

关键词： Liver fibrosis Non-invasive biomarkers Viral hepatitis MicroRNA Cirrhosis Fibroscan

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