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Validation of the Concept of a Common Typical Time of Disease Duration for Hepatocellular Carcinoma Patients Using the Fisher Information Processing of Tumor Imaging Results Combined With Network Phenotyping Strategy Quantification of Individual PatientClinical Profile Patterns

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10319697" target="_blank" >RIV/00216208:11320/15:10319697 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1053/j.seminoncol.2015.05.004" target="_blank" >http://dx.doi.org/10.1053/j.seminoncol.2015.05.004</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1053/j.seminoncol.2015.05.004" target="_blank" >10.1053/j.seminoncol.2015.05.004</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Validation of the Concept of a Common Typical Time of Disease Duration for Hepatocellular Carcinoma Patients Using the Fisher Information Processing of Tumor Imaging Results Combined With Network Phenotyping Strategy Quantification of Individual PatientClinical Profile Patterns

  • Original language description

    A primary goal of current clinical cancer research is the identification of prognostic tumor subtypes. It is increasingly dear that tumor growth depends on both internal tumor factors, and factors that are external to the tumor, such as microenvironment.We recently showed that parameter values alone are less important than the patterns of all patient parameters together for the identification of prognostic subtypes and have identified a network phenotyping strategy method to quantitatively describe thedependency of the tumor on the environment, to characterize hepatocellular carcinoma (HCC) subtypes. We have also shown that information about tumor mass together with patterns of other prognostic factors is related to survival. We now use a different patient cohort to validate this prognostic approach. A main finding is our identification of a common time of total disease duration (MD) for every HCC patient. Clinical prognosis at the time of baseline patient evaluation is then calculab

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LL1201" target="_blank" >LL1201: Complex Structures: Regularities in Combinatorics and Discrete Mathematics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Seminars in Oncology

  • ISSN

    0093-7754

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    7

  • Pages from-to

    672-678

  • UT code for WoS article

    000360782200015

  • EID of the result in the Scopus database