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
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Czech description
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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
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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
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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
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