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pubmed-article:16117882pubmed:abstractTextHepatocellular carcinoma tends to present at a late clinical stage with poor prognosis. Therefore, it is urgent to explore and develop a simple, rapid diagnostic method, which has high sensitivity and specificity for hepatocellular carcinoma at an early stage. In this study, the serum proteins in patients with hepatocellular carcinoma or liver cirrhosis and in normal controls were analysed. Surface enhanced laser desorption/ionization time-of-flight mass (SELDI-TOF-MS) spectrometry was used to fingerprint serum protein using the protein chip technique and explore the value of the fingerprint, coupled with artificial neural network, to diagnose hepatocellular carcinoma.lld:pubmed
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pubmed-article:16117882pubmed:authorpubmed-author:LiuJianJlld:pubmed
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pubmed-article:16117882pubmed:dateRevised2005-11-9lld:pubmed
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pubmed-article:16117882pubmed:articleTitleApplication of serum protein fingerprinting coupled with artificial neural network model in diagnosis of hepatocellular carcinoma.lld:pubmed
pubmed-article:16117882pubmed:affiliationDepartment of Surgery, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China. wjiaxiang@zzu.edu.cnlld:pubmed
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