Serum tests, liver stiffness and artificial neural networks for diagnosing cirrhosis and portal hypertension

Digestive and Liver Disease

Volumn 47, Issue 5, 2015, Pages 411-416

  Procopet, Bogdan ^a,b,f   Cristea, Vasile Mircea ^c   Robic, Marie Angele ^d   Grigorescu, Mircea ^b   Agachi, Paul Serban ^c   Metivier, Sophie ^d   Peron, Jean Marie ^d,e   Selves, Janick ^d   Stefanescu, Horia ^b   Berzigotti, Annalisa ^f   Vinel, Jean Pierre ^d,e   Bureau, Christophe ^d,e  

^a IULIU HATIEGANU UNIVERSITY OF MEDICINE AND PHARMACY   (Romania)

^b Regional Institute of Gastroenterology and Hepatology Prof O Fodor   (Romania)

^c BABE BOLYAI UNIVERSITY   (Romania)

^d CHU PURPAN   (France)

^e UNIVERSITÉ DE TOULOUSE   (France)

^f UNIVERSITY OF BERN   (Switzerland)

Author keywords

HVPG; Liver biopsy; Non invasive tests; Oesophageal varices; Serological scores; Transient elastography

Indexed keywords

ALANINE AMINOTRANSFERASE; ALBUMIN; ASPARTATE AMINOTRANSFERASE; BILIRUBIN; GAMMA GLUTAMYLTRANSFERASE; PROTHROMBIN;

ADOLESCENT; ADULT; AGED; ALANINE AMINOTRANSFERASE BLOOD LEVEL; ALBUMIN BLOOD LEVEL; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASPARTATE AMINOTRANSFERASE ALANINE AMINOTRANSFERASE INDEX; ASPARTATE AMINOTRANSFERASE BLOOD LEVEL; ASPARTATE AMINOTRANSFERASE PLATELET RATIO INDEX; BILIRUBIN BLOOD LEVEL; BLOOD SAMPLING; CLINICAL TRIAL; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIGESTIVE SYSTEM DISEASE ASSESSMENT; ELASTOGRAPH; ELASTOGRAPHY; ESOPHAGUS VARICES; FEMALE; FIBROSIS 4 SCORE; GAMMA GLUTAMYL TRANSFERASE BLOOD LEVEL; GOTEBORG UNIVERSITY CIRRHOSIS INDEX; HEPATIC VENOUS PRESSURE GRADIENT; HEPATOBILIARY PARAMETERS; HUMAN; INTERNATIONAL NORMALIZED RATIO; LIVER BIOPSY; LIVER CIRRHOSIS; LIVER STIFFNESS; LOK SCORE; MAJOR CLINICAL STUDY; MALE; NON INVASIVE PROCEDURE; PORTAL HYPERTENSION; PRIORITY JOURNAL; PROSPECTIVE STUDY; SCORING SYSTEM; THROMBOCYTE COUNT; ALGORITHM; BLOOD; ESOPHAGEAL AND GASTRIC VARICES; HYPERTENSION, PORTAL; LIVER; METABOLISM; MIDDLE AGED; PATHOLOGY; PROCEDURES;

AGED; ALGORITHMS; ELASTICITY IMAGING TECHNIQUES; ESOPHAGEAL AND GASTRIC VARICES; FEMALE; HUMANS; HYPERTENSION, PORTAL; LIVER; LIVER CIRRHOSIS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PLATELET COUNT;

EID: 84928824918     PISSN: 15908658     EISSN: 18783562     Source Type: Journal    
DOI: 10.1016/j.dld.2015.02.001     Document Type: Article

References (44)

1. Bosch J., Abraldes J.G., Berzigotti A., et al. The clinical use of HVPG measurements in chronic liver disease. Nature Reviews Gastroenterology & Hepatology 2009, 6:573-582.
2. Castera L., Pinzani M. Biopsy and non-invasive methods for the diagnosis of liver fibrosis: does it take two to tango. Gut 2010, 59:861-866.
3. Garcia-Tsao G., Friedman S., Iredale J., et al. Now there are many (stages) where before there was one: In search of a pathophysiological classification of cirrhosis. Hepatology 2010, 51:1445-1449.
4. Berzigotti A., Seijo S., Reverter E., et al. Assessing portal hypertension in liver disease. Expert Review of Gastroenterology & Hepatology 2013, 7:141-155.
5. Ripoll C., Groszmann R., Garcia-Tsao G., et al. Hepatic venous pressure gradient predicts clinical decompensation in patients with compensated cirrhosis. Gastroenterology 2007, 133:481-488.
6. Castera L., Pinzani M., Bosch J. Non invasive evaluation of portal hypertension using transient elastography. Journal of Hepatology 2012, 56:696-703.
7. de Franchis R. Evolving consensus in portal hypertension. Report of the Baveno IV consensus workshop on methodology of diagnosis and therapy in portal hypertension. Journal of Hepatology 2005, 43:167-176.
8. de Franchis R. Revising consensus in portal hypertension: report of the Baveno V consensus workshop on methodology of diagnosis and therapy in portal hypertension. Journal of Hepatology 2010, 53:762-768.
9. Sebastiani G., Tempesta D., Fattovich G., et al. Prediction of oesophageal varices in hepatic cirrhosis by simple serum non-invasive markers: results of a multicenter, large-scale study. Journal of Hepatology 2010, 53:630-638.
10. Thabut D., Trabut J.B., Massard J., et al. Non-invasive diagnosis of large oesophageal varices with FibroTest in patients with cirrhosis: a preliminary retrospective study. Liver International 2006, 26:271-278.
11. Giannini E.G., Zaman A., Kreil A., et al. Platelet count/spleen diameter ratio for the noninvasive diagnosis of oesophageal varices: results of a multicenter, prospective, validation study. American Journal of Gastroenterology 2006, 101:2511-2519.
12. Baxt W.G. Application of artificial neural networks to clinical medicine. Lancet 1995, 346:1135-1138.
13. Cross S.S., Harrison R.F., Kennedy R.L. Introduction to neural networks. Lancet 1995, 346:1075-1079.
14. Christensen E. Prognostic models including the Child-Pugh, MELD and Mayo risk scores - where are we and where should we go. Journal of Hepatology 2004, 41:344-350.
15. Ohno-Machado L. A comparison of Cox proportional hazards and artificial neural network models for medical prognosis. Computers in Biology and Medicine 1997, 27:55-65.
16. Ohno-Machado L. Modeling medical prognosis: survival analysis techniques. Journal of Biomedical Informatics 2001, 34:428-439.
17. Bedossa P., Poynard T. An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology 1996, 24:289-293.
18. Giannini E., Risso D., Botta F., et al. Validity and clinical utility of the aspartate aminotransferase-alanine aminotransferase ratio in assessing disease severity and prognosis in patients with hepatitis C virus-related chronic liver disease. Archives of Internal Medicine 2003, 163:218-224.
19. Wai C.T., Greenson J.K., Fontana R.J., et al. A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C. Hepatology 2003, 38:518-526.
20. Lok A.S., Ghany M.G., Goodman Z.D., et al. Predicting cirrhosis in patients with hepatitis C based on standard laboratory tests: results of the HALT-C cohort. Hepatology 2005, 42:282-292.
21. Vallet-Pichard A., Mallet V., Nalpas B., et al. FIB-4: an inexpensive and accurate marker of fibrosis in HCV infection. Comparison with liver biopsy and fibrotest. Hepatology 2007, 46:32-36.
22. Islam S., Antonsson L., Westin J., et al. Cirrhosis in hepatitis C virus-infected patients can be excluded using an index of standard biochemical serum markers. Scandinavian Journal of Gastroenterology 2005, 40:867-872.
23. Park S.H., Park T.E., Kim Y.M., et al. Non-invasive model predicting clinically-significant portal hypertension in patients with advanced fibrosis. Journal of Gastroenterology and Hepatology 2009, 24:1289-1293.
24. Bureau C., Metivier S., Peron J.M., et al. Transient elastography accurately predicts presence of significant portal hypertension in patients with chronic liver disease. Alimentary Pharmacology and Therapeutics 2008, 27:1261-1268.
25. Robic M.A., Procopet B., Metivier S., et al. Liver stiffness accurately predicts portal hypertension related complications in patients with chronic liver disease: a prospective study. Journal of Hepatology 2011, 55:1017-1024.
26. Castera L., Forns X., Alberti A. Non-invasive evaluation of liver fibrosis using transient elastography. Journal of Hepatology 2008, 48:835-847.
27. Friedrich-Rust M., Ong M.-F., Martens S., et al. Performance of transient elastography for the staging of liver fibrosis: a meta-analysis. Gastroenterology 2008, 134:960-974.
28. Vizzutti F., Arena U., Romanelli R.G., et al. Liver stiffness measurement predicts severe portal hypertension in patients with HCV-related cirrhosis. Hepatology 2007, 45:1290-1297.
29. Rumelhart D.E., Hinton G.E., Williams R.J. Learning representations by back-propagating errors. Nature 1986, 323:533-536.
30. Stefanescu H., Grigorescu M., Lupsor M., et al. A new and simple algorithm for the noninvasive assessment of oesophageal varices in cirrhotic patients using serum fibrosis markers and transient elastography. Journal of Gastrointestinal and Liver Diseases 2011, 20:57-64.
31. Sebastiani G., Halfon P., Castera L., et al. SAFE biopsy: a validated method for large-scale staging of liver fibrosis in chronic hepatitis C. Hepatology 2009, 49:1821-1827.
32. Sebastiani G., Vario A., Guido M., et al. Stepwise combination algorithms of non-invasive markers to diagnose significant fibrosis in chronic hepatitis C. Journal of Hepatology 2006, 44:686-693.
33. Boursier J., de Ledinghen V., Zarski J.P., et al. Comparison of eight diagnostic algorithms for liver fibrosis in hepatitis C: new algorithms are more precise and entirely noninvasive. Hepatology 2012, 55:58-67.
34. Lebray P., Varnous S., Charlotte F., et al. Liver stiffness is an unreliable marker of liver fibrosis in patients with cardiac insufficiency. Hepatology 2008, 48:2089.
35. Millonig G., Friedrich S., Adolf S., et al. Liver stiffness is directly influenced by central venous pressure. Journal of Hepatology 2010, 52:206-210.
36. Millonig G., Reimann F.M., Friedrich S., et al. Extrahepatic cholestasis increases liver stiffness (FibroScan) irrespective of fibrosis. Hepatology 2008, 48:1718-1723.
37. Arena U., Vizzutti F., Corti G., et al. Acute viral hepatitis increases liver stiffness values measured by transient elastography. Hepatology 2008, 47:380-384.
38. Coco B., Oliveri F., Maina A.M., et al. Transient elastography: a new surrogate marker of liver fibrosis influenced by major changes of transaminases. Journal of Viral Hepatitis 2007, 14:360-369.
39. Ghoshal U.C., Das A. Models for prediction of mortality from cirrhosis with special reference to artificial neural network: a critical review. Hepatology International 2008, 2:31-38.
40. Banerjee R., Das A., Ghoshal U.C., et al. Predicting mortality in patients with cirrhosis of liver with application of neural network technology. Journal of Gastroenterology and Hepatology 2003, 18:1054-1060.
41. Cucchetti A., Vivarelli M., Heaton N.D., et al. Artificial neural network is superior to MELD in predicting mortality of patients with end-stage liver disease. Gut 2007, 56:253-258.
42. Cucchetti A., Piscaglia F., Grigioni A.D., et al. Preoperative prediction of hepatocellular carcinoma tumour grade and micro-vascular invasion by means of artificial neural network: a pilot study. Journal of Hepatology 2010, 52:880-888.
43. Berzigotti A., Seijo S., Arena U., et al. Elastography, spleen size, and platelet count identify portal hypertension in patients with compensated cirrhosis. Gastroenterology 2013, 144:102-111.
44. Berzigotti A., Abraldes J.G., Tandon P., et al. Ultrasonographic evaluation of the liver surface and transient elastography in clinically doubtful cirrhosis. Journal of Hepatology 2010, 52:846-853.