An Information Technology Framework for Predictive, Preventive and Personalised Medicine [electronic resource] : A Use-Case with Hepatocellular Carcinoma / edited by Leonard Berliner, Heinz U. Lemke.
Series: Advances in Predictive, Preventive and Personalised Medicine ; 8Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XX, 130 p. 23 illus., 15 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783319121666
- 502.85 23
- R858-859.7

Preface -- Introduction -- The Digital Patient Model and Model Guided Therapy -- Hepatocellular Carcinoma and Patient Assessment -- Imaging in Hepatocellular Carcinoma: Radiologic Assessment -- Imaging in Hepatocellular Carcinoma: PET/CT -- Personalized Chemotherapy for Hepatocellular Carcinoma -- Surgical Treatment for Hepatocellular Carcinoma.- Minimally Invasive Therapies for Hepatocellular Cancer: Ablation Technologies -- Chapter 9 Minimally Invasive Therapies for Hepatocellular Cancer: Ablation Therapies -- Minimally Invasive Therapies for Hepatocellular Cancer:Catheter-Directed Therapies -- Radiation Oncology in the Treatment of Hepatocellular Carcinoma -- Design of an IT System for Hepatocellular Carcinoma -- Outlook and Expert Recommendations for Predictive, Preventive and Personalized Medicine and Hepatocellular Carcinoma.
This book explores how PPPM, clinical practice, and basic research could be best served by information technology (IT). A use-case was developed for hepatocellular carcinoma (HCC). The subject was approached with four interrelated tasks: (1) review of clinical practices relating to HCC; (2) propose an IT system relating to HCC, including clinical decision support and research needs; (3) determine how a clinical liver cancer center can contribute; and, (4) examine the enhancements and impact that the first three tasks will have on the management of HCC. An IT System for Personalized Medicine (ITS-PM) for HCC will provide the means to identify and determine the relative value of the wide number of variables, including clinical assessment of the patient -- functional status, liver function, degree of cirrhosis, and comorbidities; tumor biology, at a molecular, genetic and anatomic level; tumor burden and individual patient response; medical and operative treatments and their outcomes.