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Prognostic Index for Portal Vein Tumor Thrombosis in Patients with Hepatocellular Carcinoma Treated with Radiation Therapy
We performed a retrospective review of 281 hepatocellular carcinoma (HCC) patients with portal vein tumor thrombosis (PVTT) treated with radiation therapy (RT) between 1998 and 2008 to develop a prognostic model for those patients. Of the 281 patients, PVTT and intrahepatic main masses completely di...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154336/ https://www.ncbi.nlm.nih.gov/pubmed/21860551 http://dx.doi.org/10.3346/jkms.2011.26.8.1014 |
Sumario: | We performed a retrospective review of 281 hepatocellular carcinoma (HCC) patients with portal vein tumor thrombosis (PVTT) treated with radiation therapy (RT) between 1998 and 2008 to develop a prognostic model for those patients. Of the 281 patients, PVTT and intrahepatic main masses completely disappeared in 10 patients (3.6%), and shown a partial response in 141 patients (50.2%). The median survival was 11.6 months. Patients who had more than PR have shown significantly longer survival than the others (22.0 months vs 5.0 months, P < 0.001). On the multivariate analysis, pre-treatment poor prognosticators for overall survival were ECOG performance status, Child-Pugh class, multiple tumors, main PVTT, complete portal vein occlusion, lymph node metastasis, and primary tumor size. Prognostic index of RT for PVTT of HCC (PITH) scores were defined as the number of pre-treatment poor prognostic factors. PITH scores correlated well with overall survival. In the analysis of 1 and 2 yr overall survival rate, patients who had PITH scores of 3 or greater showed a significantly lower rate of overall survival than the others (33.0%, 17.3% vs 70.1%, 40.8%, respectively, P < 0.001). The PITH scoring model, proposed in the current study in HCC patients with PVTT, reliably predict overall survival. |
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