EurekaMag.com logo
+ Site Statistics
References:
53,869,633
Abstracts:
29,686,251
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on LinkedInFollow on LinkedIn

+ Translate

Irregularity of parenchymal echo patterns of liver analyzed with a neural network and risk of hepatocellular carcinoma in liver cirrhosis



Irregularity of parenchymal echo patterns of liver analyzed with a neural network and risk of hepatocellular carcinoma in liver cirrhosis



Oncology 63(3): 270-279



Objective: In this study, we scored the hepatic parenchymal echo patterns as the coarse score (CS) analyzed with a neural network in cirrhosis patients and calculated the variations in CS as the coefficient of variation, and evaluate their usefulness as predictor of the development of hepatocellular carcinoma (HCC). Methods: The relationship between the degree of variation in CS and histopathological findings was assessed in 10 autopsied livers fixed in formalin. The degree of intrahepatic variation in CS was calculated as the coefficient of variation of CS (CVCS). Irregular regeneration of liver cells in autopsied livers was classified into two categories, slight and severe. A total of 56 cirrhosis patients were prospectively followed to evaluate the predictors of HCC. Results: A significant positive correlation was observed between CVCS and the coefficient of variation of the diameter of the regenerative nodules. Coefficient variation of nodule diameter and CVCS in patients in whom irregular regeneration was severe were significantly higher than those in patients in whom irregular regeneration was mild (p<0.05). Concerning the relationship between hepatitis virus markers and CS or CVCS, CVCS was significantly higher in those who were hepatitis C virus antibody positive and those who were hepatitis B surface antigen negative (p<0.01). Using a combination of CS and CVCS, the incidence of HCC, as determined by the Kaplan-Meier method, was significantly higher in patients whose CS was gtoreq1.5 and CVCS was gtoreq15%, as compared with that in patients whose CS was <1.5 and CVCS was <15% (p<0.01) and whose CS was gtoreq1.5 and CVCS was <15% (p<0.05). Multivariate analysis of the predictors for HCC using the Cox's proportional hazards model showed a significant correlation between the risk of development of HCC and CVCS, CS and serum alpha-fetoprotein level. Conclusions: CVCS and CS can be calculated from liver echo patterns and are useful for identifying a high-risk group for HCC.

(PDF emailed within 0-6 h: $19.90)

Accession: 010885697

Download citation: RISBibTeXText

PMID: 12381907

DOI: 65478



Related references

Parenchymal echo patterns of cirrhotic liver analysed with a neural network for risk of hepatocellular carcinoma. Journal of Gastroenterology & Hepatology 14(9): 915-921, Sept, 1999

Classification of liver cirrhosis based on parenchymal echo patterns and its clinical usefulness for diagnosis of liver cirrhosis. Nihon Shokakibyo Gakkai Zasshi 86(7): 1473-1485, 1989

Relative risk of hepatocellular carcinoma in cirrhosis due to fatty liver disease A study based on incidental hepatocellular carcinoma in liver transplant recipients. Hepatology 34(4 Pt 2): 462A, October, 2001

Hepatocellular carcinoma in nonalcoholic fatty liver cirrhosis and alcoholic cirrhosis: risk factor analysis in liver transplant recipients. European Journal of Gastroenterology & Hepatology 24(7): 840-848, 2012

An image analyzing system using an artificial neural network for evaluating the parenchymal echo pattern of cirrhotic liver and chronic hepatitis. IEEE Transactions on Bio-Medical Engineering 45(3): 396-400, 1998

High risk group of hepatocellular carcinoma in japan risk scores to predict hepatocellular carcinoma development in liver cirrhosis. Inokuchi, K Et Al (Ed ) Gann Monograph on Cancer Research, No 31 Digestive Tract Tumors: Fundamental And Clinical Aspects Viii+279p Japan Scientific Societies Press: Tokyo, Japan; Plenum Press: New York, N Y , Usa; London, England Illus 133-138, 1986

Construction of a neural network for predicting the development of hepatocellular carcinoma, liver failure or liver transplantation for patients presenting to clinic with chronic hepatitis C. Hepatology 28(4 PART 2): 281A, 1998

Lectin binding patterns in normal liver, chronic active hepatitis, liver cirrhosis, and hepatocellular carcinoma: An immunohistochemical and immunoelectron microscopic study. Acta Pathologica Japonica 42(8): 566-572, 1992

Nonalcoholic fatty liver disease increases the risk of hepatocellular carcinoma in patients with alcohol-associated cirrhosis awaiting liver transplants. Clinical Gastroenterology and Hepatology 13(5): 992-9.E2, 2016

Tyrosine kinase inhibitors improve parenchymal findings of liver cirrhosis in a patient exhibiting concomitant hepatocellular carcinoma and renal cell cancer. Molecular and Clinical Oncology 4(2): 290-292, 2016

Milder liver cirrhosis and loss of serum HBeAg do not imply lower risk for hepatocellular carcinoma development in HBV-related cirrhosis. Medical Science Monitor 15(6): Cr274-9, 2009

Expression of p53 protein in liver and sera of patients with liver fibrosis, liver cirrhosis or hepatocellular carcinoma associated with chronic HCV infection. Clinical Biochemistry 42(6): 455-461, 2008

Abnormal lipid and lipoprotein patterns in liver cirrhosis with and without hepatocellular carcinoma. Jpma. Journal of the Pakistan Medical Association 42(11): 260-263, 1992

Liver cirrhosis as a risk factor of hepatocellular carcinoma. Internist 28(7): 468-476, 1987