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An Information Technology Framework for Predictive, Preventive and Personalised Medicine

A Use-Case with Hepatocellular Carcinoma

  • Book
  • © 2015

Overview

Editors:
  1. Leonard Berliner

    1. Weill Cornell Medical College of Cornell, New York, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Heinz U. Lemke

    1. Technical University of Berlin, Kuessaberg, Germany

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    You can also search for this editor in PubMed   Google Scholar

  • Provides a roadmap for integrating Information Technology with PPPM
  • Proposes a methodology for managing vast amounts of personal medical data for decision support by means of Bayesian networks
  • Introduces new concepts such as a Digital Patient Model and Model Guided Therapy
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Predictive, Preventive and Personalised Medicine (APPPM, volume 8)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Introduction

    • Leonard Berliner, Heinz U. Lemke
    Pages 1-7

  3. The Digital Patient Model and Model Guided Therapy

    • Leonard Berliner, Heinz U. Lemke
    Pages 9-19

  4. Hepatocellular Carcinoma and Patient Assessment

    • Smruti Mohanty, Sid Verma, David Dosik, Hesham Hazin, Leonard Berliner
    Pages 21-32

  5. Imaging in Hepatocellular Carcinoma: Radiologic Assessment

    • Irene Bargellini, Valentina Battaglia, Davide Caramella, Carlo Bartolozzi
    Pages 33-44

  6. Imaging in Hepatocellular Carcinoma: PET/CT

    • Giuseppe Esposito
    Pages 45-51

  7. Personalized Chemotherapy for Hepatocellular Carcinoma

    • Hesham Hazin, David Dosik
    Pages 53-60

  8. Surgical Treatment for Hepatocellular Carcinoma

    • Smruti Mohanty, Leonard Berliner, Syed Shah
    Pages 61-68

  9. Minimally Invasive Therapies for Hepatocellular Cancer: Ablation Technologies

    • Paul Morrison, Eric van Sonnenberg
    Pages 69-76

  10. Minimally Invasive Therapies for Hepatocellular Cancer: Ablation Therapies

    • Eric van Sonnenberg, Leonard Berliner
    Pages 77-83

  11. Minimally Invasive Therapies for Hepatocellular Cancer: Catheter-Directed Therapies

    • Leonard Berliner, Smruti Mohanty
    Pages 85-91

  12. Radiation Oncology in the Treatment of Hepatocellular Carcinoma

    • Hani Ashamalla, Malcolm D. Mattes
    Pages 93-102

  13. Design of an IT System for Hepatocellular Carcinoma

    • Leonard Berliner, Heinz U. Lemke
    Pages 103-117

  14. Outlook and Expert Recommendations for Predictive, Preventive and Personalized Medicine and Hepatocellular Carcinoma

    • Leonard Berliner, Heinz U. Lemke, Hani Ashamalla, Smruti Mohanty
    Pages 119-127

  15. Back Matter

    Pages 129-130
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Keywords

About this book

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.

Editors and Affiliations

  • Weill Cornell Medical College of Cornell, New York, USA

    Leonard Berliner

  • Technical University of Berlin, Kuessaberg, Germany

    Heinz U. Lemke

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