Junzhang Huang, Ying Zhou, Suosu Wei, Yuntian Tang, Qiuhuan Zhang, Yi Tang, Wei Huang, Chongde Mo, Xiaofeng Dong, Jianrong Yang
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引用次数: 0
摘要
目的：本研究通过在中国广西人群中开展队列研究，探讨肿瘤负荷评分（TBS）与肝细胞癌根治性切除术后生存和复发之间的关系：该队列研究最终招募了2013-2022年间在广西壮族自治区人民医院接受肝癌根治性切除术的576例HCC患者。在确定最佳阈值TBS后，对所有病例进行分组，评估TBS与总生存率（OS）和累积复发率之间的关系。利用X-Tile软件，判断HCC根治性切除术后患者预后的最佳阈值TBS为10.77：Kaplan-Meier曲线分析显示，与对照组相比，高TBS患者的OS明显下降，同时复发率增加。多变量考克斯比例回归显示，高TBS患者的OS（HR = 2.56，95% CI 1.64-3.99，P < 0.001）和无复发生存期（RFS）（HR = 1.55，95% CI 1.02-2.35，P < 0.001）均较差：结论：在接受HCC根治性切除术的患者中，TBS越高，OS和RFS越短。
The impact of tumor burden score on prognosis in patients after radical resection of hepatocellular carcinoma: a single-center retrospective study.
Purpose: This study examines the relationship between tumor burden score (TBS) and survival and recurrence following radical resection of hepatocellular carcinoma through a cohort study conducted in the Guangxi population of China.
Methods: This cohort study eventually recruited 576 HCC patients undergoing radical resection of HCC in the People's Hospital of Guangxi Zhuang Autonomous Region during 2013-2022. After determining the best threshold TBS, all cases were grouped to evaluate the relationship between TBS versus overall survival (OS) and cumulative recurrence. Using X-Tile software, the best threshold TBS to judge patient prognostic outcome following radical resection of HCC was 10.77.
Results: Kaplan-Meier curve analysis revealed that patients with high TBS showed considerably decreased OS relative to the control group, accompanied by an increased recurrence rate. According to multivariate Cox proportional regression, the patients with high TBS were associated with poorer OS (HR = 2.56, 95% CI 1.64-3.99, P < 0.001) and recurrence-free survival (RFS) (HR = 1.55, 95% CI 1.02-2.35, P < 0.001).
Conclusion: In patients undergoing radical resection for HCC, higher TBS was significantly related to shorter OS and RFS.
期刊介绍：
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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