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Staging and Prognostic Models for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma

There are several important roles that staging systems and prognostic models play in the modern medical care of patients with cancer. First, accurate staging systems can assist clinicians by identifying optimal treatment selection based on the scope of disease at the time of diagnosis. Second, both...

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Autores principales: Burkhart, Richard A., Pawlik, Timothy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937249/
https://www.ncbi.nlm.nih.gov/pubmed/28975828
http://dx.doi.org/10.1177/1073274817729235
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author Burkhart, Richard A.
Pawlik, Timothy M.
author_facet Burkhart, Richard A.
Pawlik, Timothy M.
author_sort Burkhart, Richard A.
collection PubMed
description There are several important roles that staging systems and prognostic models play in the modern medical care of patients with cancer. First, accurate staging systems can assist clinicians by identifying optimal treatment selection based on the scope of disease at the time of diagnosis. Second, both physicians and patients may infer prognostic information from staging and models that may help decision makers identify appropriate therapies for individual patients. Third, in research, there is benefit to classifying patients with disease into subgroups ensuring greater parity between experimental and control arms. Staging systems in most solid organ malignancies rely heavily on an accurate pathologic assessment of the tumor (size, site, number of tumors, locoregional spread, and distant spread). Another consideration in primary liver cancer, such as hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), is the fact that the underlying liver function can significantly impact patient survival. In HCC, there are at least a dozen options that have been proposed for staging the disease. Herein, we review the most widely used systems and discuss their strengths and weaknesses. Prognostic models and nomograms are also discussed for a variety of subpopulations with HCC. Interestingly, until 2010, the staging system proposed by the American Joint Committee on Cancer for ICC was identical to HCC. The modern staging system, unique to ICC, is reviewed, and future modifications are identified with the primary supporting literature discussed.
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spelling pubmed-59372492018-05-16 Staging and Prognostic Models for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Burkhart, Richard A. Pawlik, Timothy M. Cancer Control Review There are several important roles that staging systems and prognostic models play in the modern medical care of patients with cancer. First, accurate staging systems can assist clinicians by identifying optimal treatment selection based on the scope of disease at the time of diagnosis. Second, both physicians and patients may infer prognostic information from staging and models that may help decision makers identify appropriate therapies for individual patients. Third, in research, there is benefit to classifying patients with disease into subgroups ensuring greater parity between experimental and control arms. Staging systems in most solid organ malignancies rely heavily on an accurate pathologic assessment of the tumor (size, site, number of tumors, locoregional spread, and distant spread). Another consideration in primary liver cancer, such as hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), is the fact that the underlying liver function can significantly impact patient survival. In HCC, there are at least a dozen options that have been proposed for staging the disease. Herein, we review the most widely used systems and discuss their strengths and weaknesses. Prognostic models and nomograms are also discussed for a variety of subpopulations with HCC. Interestingly, until 2010, the staging system proposed by the American Joint Committee on Cancer for ICC was identical to HCC. The modern staging system, unique to ICC, is reviewed, and future modifications are identified with the primary supporting literature discussed. SAGE Publications 2017-09-07 /pmc/articles/PMC5937249/ /pubmed/28975828 http://dx.doi.org/10.1177/1073274817729235 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review
Burkhart, Richard A.
Pawlik, Timothy M.
Staging and Prognostic Models for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
title Staging and Prognostic Models for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
title_full Staging and Prognostic Models for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
title_fullStr Staging and Prognostic Models for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
title_full_unstemmed Staging and Prognostic Models for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
title_short Staging and Prognostic Models for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
title_sort staging and prognostic models for hepatocellular carcinoma and intrahepatic cholangiocarcinoma
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937249/
https://www.ncbi.nlm.nih.gov/pubmed/28975828
http://dx.doi.org/10.1177/1073274817729235
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