Simple parameters predicting extrahepatic recurrence after curative hepatectomy for hepatocellular carcinoma

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作者
Jae Hyun Yoon
Won Jae Lee
Sun Min Kim
Kwang Tack Kim
Sung Bum Cho
Hee Joon Kim
Yang Seok Ko
Hyun Yi Kook
Chung Hwan Jun
Sung Kyu Choi
Ban Seok Kim
Seo Yeon Cho
Hye-Su You
Yohan Lee
Seyeong Son
机构
[1] Chonnam National University Hospital and Medical School,Department of Gastroenterology
[2] Hwasun Chonnam National University Hospital and Medical School,Department of Gastroenterology
[3] Chonnam National University Hospital and Medical School,Department of Surgery
[4] Hwasun Chonnam National University Hospital and Medical School,Department of Surgery
[5] Chonnam National University,Department of Nursing
[6] Mokpo Hankook Hospital,Department of Internal Medicine
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Extrahepatic recurrence (EHR) after curative hepatectomy for hepatocellular carcinoma (HCC) is associated with a poor prognosis. We investigated the features of EHR and identified its predictive factors. This retrospective study included 398 treatment-naive patients who underwent curative hepatectomy for HCC at two tertiary hospitals. Multivariate Cox-regression analysis was performed to identify the variables associated with EHR. EHR was diagnosed in 94 patients (23.6%) over a median follow-up period of 5.92 years, most commonly in the lungs (42.6%). The 5-/10-year cumulative rates of HCC recurrence and EHR were 63.0%/75.6% and 18.1%/35.0%, respectively. The median time to EHR was 2.06 years. Intrahepatic HCC recurrence was not observed in 38.3% of patients on EHR diagnosis. On multivariate analysis, pathologic modified Union for International Cancer Control stage (III, IVa), surgical margin involvement, tumor necrosis, sum of tumor size > 7 cm, and macrovascular invasion were predictive factors of EHR. Four risk levels and their respective EHR rates were defined as follows: very low risk, 1-/5-year, 3.1%/11.6%; low risk, 1-/5-year, 12.0%/27.7%; intermediate risk, 1-/5-year, 36.3%/60.9%; and high risk, 1-year, 100.0%. Our predictive model clarifies the clinical course of EHR and could improve the follow-up strategy to improve outcomes.
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