Literature DB >> 22653882

Independent factors and predictive score for extrahepatic metastasis of hepatocellular carcinoma following curative hepatectomy.

Li Jun1, Yan Zhenlin, Gong Renyan, Wang Yizhou, Wan Xuying, Xue Feng, Xia Yong, Wang Kui, Liu Jian, Wu Dong, Wang Hongyang, Shi Lehua, Wu Mengchao, Shen Feng.   

Abstract

BACKGROUND: Postoperative extrahepatic metastasis (EHM) contributes to a poor prognosis in patients with hepatocellular carcinoma (HCC) after hepatectomy. This study was aimed to develop a practical method that can be used to predict postoperative EHM.
METHODS: In total, 578 patients were enrolled. We analyzed the clinicopathological features of the tumors and did a long-term follow-up to observe HCC recurrence. Postoperative EHM was detected in 136 patients, and multivariate analysis was used to confirm independent risk factors for postoperative EHM. After the factors were identified, a predictive scoring system was constructed as a weighted sum of these factors. The cutoff value that determines a high risk for EHM was defined by maximizing the Youden's index of the receiver operating characteristic curve.
RESULTS: Microvascular invasion, incomplete capsule, and larger tumor diameter were the three independent factors predictive for a high risk for EHM. The scoring system was derived with an area under the curve (AUC) of 0.81 for postoperative 10-year EHM prediction. A cutoff value of 43 was derived and validated with a sensitivity >90% and specificity >60% to predict the development of EHM. This system was further verified in a subgroup of Barcelona Clinic Liver Cancer stage 0-A patients with an AUC of 0.82. When the cutoff value was set at 43, the sensitivity and specificity were 90.38% and 64.88%, respectively.
CONCLUSIONS: Our predictive scoring system may be used to identify HCC patients who have a high risk for EHM following curative hepatectomy.

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Year:  2012        PMID: 22653882      PMCID: PMC3399653          DOI: 10.1634/theoncologist.2011-0447

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  37 in total

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  12 in total

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