Long-term survival after partial hepatectomy for sub-stage patients with intermediate stage hepatocellular carcinoma

医学 列线图 肝细胞癌 肝切除术 阶段(地层学) 胃肠病学 内科学 队列 生存分析 外科 切除术 生物 古生物学
作者
Wenxin Wei,Zhishi Yang,Li-Hua Lu,Jun Li,Zhengqing Lei,Kui Wang,Yong Xia,Zhenlin Yan,Feng Shen
出处
期刊:International Journal of Surgery [Elsevier]
卷期号:56: 256-263 被引量:8
标识
DOI:10.1016/j.ijsu.2018.06.020
摘要

The current study aimed to examine the long-term survival after partial hepatectomy for patients with BCLC intermediate stage hepatocellular carcinoma (HCC) stratified by the Bolondi's sub-staging model.This cohort consisted of 360 patients with BCLC intermediate stage HCC who underwent partial hepatectomy between January 2008 and February 2010. Patients were stratified into 3 subgroups (B1-B3) based on the Bolondi's sub-staging model. The last follow-up was conducted at February 2014.Of these patients, 166, 171 and 23 patients had B1, B2, and B3 sub-stage HCC, respectively. The postoperative 5-year Overall survival (OS) rate for patients with these three sub-stages was 49.5%, 33.7% and 12.9%, respectively (P < 0.001). Compared with the reported survival outcomes from previous studies which used transarterial chemoembolization (TACE) as first-line treatment, hepatectomy had a better median survival than TACE in B1 and B2 patients. On multivariable analysis, presence of esophageal and gastric varices, higher NDR score, presence of microvascular invasion, differentiation grade III-IV, and patterns of AFP decreases after surgery were the independent risk factors of OS in the sub-stages B1 and B2 patients. A nomogram which integrated all these independent risk factors was developed, with a C-index of 0.71 for OS prediction. The calibration curve showed an optimal agreement between prediction by the nomogram and actual observation.The patients with intermediate stage HCC clarified as sub-stages B1 and B2 according to Bolondi's model had an optimal long-term survival following partial hepatectomy than TACE. Their postoperative prognosis could be accurately predicted by our proposed nomogram.
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