Validation of an albumin-indocyanine green-based China liver cancer staging system to evaluating resectable hepatocellular carcinoma patients and comparison with the Child-Pugh-based China liver cancer staging system.
MinQiang Chen, Chao Ren, MengXia Wang, Min Yu, Bo Wu, Bo Zhuang, JianXiang Jin, YaoQi Zhang, ShiAn Yu
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引用次数: 0
Abstract
Aim: Here, the utility of an albumin-indocyanine green-based China liver cancer (CNLC) staging system (ALICE-CNLC) as a tool for the prognostic assessment of hepatocellular carcinoma (HCC) patients was evaluated, comparing this system to the Child-Pugh score-based CNLC staging system.
Methods: The cohort for this study included 331 patients with HCC who had undergone hepatectomy at Jinhua Municipal Central Hospital Medical Group in China from April 2012-June 2021 and had postoperative pathology-confirmed HCC. Kaplan-Meier survival curves were generated, with log-rank tests used to examine prognostic factors. Univariate and multivariate analyses were used for identification of outcome predictors using Cox proportional hazards regression.
Results: The prediction of overall survival (OS) by the ALICE-CNLC system for patients with stage Ia disease was markedly better than that for patients with stage Ib and IIa disease (P=0.010, P=0.026), while the latter groups did not differ significantly (P=0.796). The ALICE-CNLC system predicted the 3-year recurrence-free survival (RFS) rates for patients with stage Ia, Ib, and IIa disease to be 50.4%, 47.7%, and 25%, respectively, with significant differences among the groups (P=0.033, P<0.001, and P=0.043). These results were similar to those of the CNLC staging system.The OS and RFS did not differ significantly between the same grades of patients evaluated with the ALICE-CNLC and CNLC staging systems.
Conclusion: The ALICE-CNLC and CNLC staging systems did not show significant differences in predicting the prognosis of patients with HCC who have undergone hepatectomy.
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.