Download An Information Technology Framework for Predictive, by Leonard Berliner, Heinz U. Lemke PDF

By Leonard Berliner, Heinz U. Lemke

This e-book explores how PPPM, medical perform, and easy learn can be top served by means of details know-how (IT). A use-case used to be built for hepatocellular carcinoma (HCC). the topic used to be approached with 4 interrelated projects: (1) overview of scientific practices when it comes to HCC; (2) suggest an IT approach on the subject of HCC, together with medical selection help and study wishes; (3) confirm how a medical liver melanoma middle can give a contribution; and, (4) learn the improvements and effect that the 1st 3 projects may have at the administration of HCC. An IT approach for custom-made medication (ITS-PM) for HCC will give you the ability to spot and confirm the relative worth of the large variety of variables, together with scientific overview of the sufferer -- sensible prestige, liver functionality, measure of cirrhosis, and comorbidities; tumor biology, at a molecular, genetic and anatomic point; tumor burden and person sufferer reaction; clinical and operative remedies and their outcomes.

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Additional info for An Information Technology Framework for Predictive, Preventive and Personalised Medicine: A Use-Case with Hepatocellular Carcinoma

Sample text

E. Model Guided Therapy (MGT) and PPPM. it © Springer International Publishing Switzerland 2015 L. Berliner, H. U. 1007/978-3-319-12166-6_4 33 34 I. Bargellini et al. 1 Introduction In the setting of a multidisciplinary clinical liver cancer center, radiologists play an essential role in the different phases of hepatocellular carcinoma (HCC) patients’ management, including diagnosis, staging, treatment planning, and evaluation of response to treatment. According to the Barcelona Clinic for Liver Cancer (BCLC) staging system [1], treatment decisions and prognosis are strongly influenced by the tumor extension, in terms of lesions’ number and size, presence of macrovascular invasion, and extrahepatic tumor spread; precise tumor identification is therefore mandatory for proper patient allocation.

Antiviral therapy is effective in preventing HCC in only a small proportion of patients [9, 10] and sustained clearance of HBV or HCV may be difficult to accomplish, particularly among cirrhotic patients. Of all HCCs, 80–90 % develops in a cirrhotic liver [11]. After 20–30 years of chronic infection, 20–30 % of patients develop liver cirrhosis. HCC develops at an annual rate of 1–7 % in HCVinfected cirrhotic patients [6] and 3–8 % in HBV-infected cirrhotic patients [12]. 2 Clinical Liver Cancer Center A heterogeneous population of patients will be encountered in a clinical liver cancer center (CLCC).

Liver Transpl 6:320–325 14. Zhang BH, Yang BH, Tang ZY (2004) Randomized controlled trial of screening for hepatocellular carcinoma. J Cancer Res Clin Oncol 130:417–422 15. Bolondi L, Sofia S, Siringo S et al (2001) Surveillance programme of cirrhotic patients for early diagnosis and treatment of hepatocellular carcinoma: a cost effectiveness analysis. Gut 48:251–259 16. El-Serag HB, Marrero JA, Rudolph L et al (2008) Diagnosis and treatment of hepatocellular carcinoma. Gastroenterology 134:1752–1763 17.

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