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用于识别伴有肝静脉侵犯的肝细胞癌患者肝切除术候选者的预测模型。

Prognostic model for identifying candidates for hepatectomy among patients with hepatocellular carcinoma and hepatic vein invasion.

机构信息

Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China.

Department of Hepatobiliary and Pancreatic Surgical Oncology, First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China.

出版信息

Br J Surg. 2020 Jun;107(7):865-877. doi: 10.1002/bjs.11524. Epub 2020 Apr 4.

DOI:10.1002/bjs.11524
PMID:32246475
Abstract

BACKGROUND

Hepatic vein tumour thrombus (HVTT) is a major determinant of survival outcomes for patients with hepatocellular carcinoma (HCC). An Eastern Hepatobiliary Surgery Hospital (EHBH)-HVTT model was established to predict the prognosis of patients with HCC and HVTT after liver resection, in order to identify optimal candidates for liver resection.

METHODS

Patients with HCC and HVTT from 15 hospitals in China were included. The EHBH-HVTT model with contour plot was developed using a non-linear model in the training cohort, and subsequently validated in internal and external cohorts.

RESULTS

Of 850 patients who met the inclusion criteria, there were 292 patients who had liver resection and 198 who did not in the training cohort, and 124 and 236 in the internal and external validation cohorts respectively. Contour plots for the EHBH-HVTT model were established to predict overall survival (OS) rates of patients visually, based on tumour diameter, number of tumours and portal vein tumour thrombus. This differentiated patients into low- and high-risk groups with distinct long-term prognoses in the liver resection cohort (median OS 34·7 versus 12·0 months; P < 0·001), internal validation cohort (32·8 versus 10·4 months; P = 0·002) and external validation cohort (15·2 versus 6·5 months; P = 0·006). On subgroup analysis, the model showed the same efficacy in differentiating patients with HVTT in peripheral and major hepatic veins, the inferior vena cava, or in patients with coexisting portal vein tumour thrombus.

CONCLUSION

The EHBH-HVTT model was accurate in predicting prognosis in patients with HCC and HVTT after liver resection. It identified optimal candidates for liver resection among patients with HCC and HVTT, including tumour thrombus in the inferior vena cava, or coexisting portal vein tumour thrombus.

摘要

背景

肝静脉肿瘤血栓(HVTT)是影响肝细胞癌(HCC)患者生存结局的主要因素。本研究建立了东方肝胆外科医院(EHBH)-HVTT 模型,以预测 HCC 合并 HVTT 患者行肝切除术后的预后,从而识别出适合肝切除的最佳患者人群。

方法

纳入中国 15 家医院的 HCC 合并 HVTT 患者。采用非线性模型在训练队列中建立 EHBH-HVTT 模型轮廓图,然后在内部和外部队列中进行验证。

结果

符合纳入标准的 850 例患者中,在训练队列中有 292 例行肝切除术,198 例未行肝切除术,内部和外部验证队列中分别有 124 例和 236 例。基于肿瘤直径、肿瘤数目和门静脉肿瘤血栓,EHBH-HVTT 模型的轮廓图可直观地预测患者的总生存(OS)率。在肝切除术队列(中位 OS:34.7 个月比 12.0 个月;P<0.001)、内部验证队列(32.8 个月比 10.4 个月;P=0.002)和外部验证队列(15.2 个月比 6.5 个月;P=0.006)中,该模型将患者分为低危和高危组,具有明显的长期预后差异。在亚组分析中,该模型在区分 HVTT 位于肝静脉、肝静脉主干、下腔静脉或同时伴有门静脉肿瘤血栓的患者时也具有相同的效果。

结论

EHBH-HVTT 模型可准确预测 HCC 合并 HVTT 患者行肝切除术后的预后。它可以识别出适合 HCC 合并 HVTT 患者,包括 HVTT 位于下腔静脉或伴有门静脉肿瘤血栓的患者进行肝切除的最佳候选人群。

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