共 40 条
Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy
被引:1
作者:
Wu, Jia-Lin
[1
]
Luo, Jun-Yang
[1
]
Jiang, Zai-Bo
[1
]
Huang, Si-Bo
[2
]
Chen, Ge-Run
[2
]
Ran, Hui-Ying
[3
]
Liang, Qi-Yue
[3
]
Huang, Ming-Sheng
[1
]
Lai, Li-Sha
[4
]
Chen, Jun-Wei
[1
,5
]
机构:
[1] Sun Yat sen Univ, Affiliated Hosp 3, Dept Intervent Radiol, Guangzhou 510630, Guangdong, Peoples R China
[2] Guangdong Med Univ, Clin Med Coll 1, Zhanjiang 524000, Guangdong, Peoples R China
[3] Sun Yat sen Univ, Zhongshan Sch Med, Guangzhou 510080, Guangdong, Peoples R China
[4] South China Univ Technol, Guangzhou Peoples Hosp 1, Sch Med, Dept Radiol, Guangzhou 510010, Guangdong, Peoples R China
[5] Sun Yat sen Univ, Affiliated Hosp 3, Dept Intervent Radiol, 600 Tianhe Rd, Guangzhou 510630, Guangdong, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Hepatocellular carcinoma;
Conversion therapy;
Nomogram;
Inflammation;
Transarterial chemoembolization;
VEIN TUMOR THROMBUS;
PROGNOSTIC NOMOGRAMS;
CHEMOEMBOLIZATION;
HEPATECTOMY;
VALIDATION;
CIRRHOSIS;
SYSTEM;
TACE;
D O I:
10.3748/wjg.v29.i20.3168
中图分类号:
R57 [消化系及腹部疾病];
学科分类号:
摘要:
BACKGROUND The efficacy of conversion therapy for patients with unresectable hepatocellular carcinoma (HCC) is a common clinical concern. AIM To analyse the prognostic factors of overall survival ( OS) in patients with unresectable HCC who received conversion therapy. METHODS One hundred and fifty patients who met the inclusion criteria were enrolled and divided into a training cohort (n = 120) and a validation cohort (n = 30). Using the independent risk factors in the training cohort, a nomogram model was constructed to predict OS for patients treated with transarterial chemoembolization following hepatic resection. The nomogram was internally validated with the bootstrapping method. The predictive performance of nomogram was assessed by Harrell's concordance index (C- index), calibration plot and time-dependent receiver operating characteristic curves and compared with six other RESULTS Multivariate Cox analysis identified that albumin, blood urea nitrogen, gamma-glutamyl transpeptidase to platelet ratio, platelet to lymphocyte ratio, macrovascular invasion and tumour number were the six independent prognostic factors correlated with OS in nomogram model. The C-index in the training cohort and validation cohort were 0.752 and 0.807 for predicting OS, which were higher than those of the six conventional HCC staging systems (0.563 to 0.715 for the training cohort and 0.458 to 0.571 for the validation cohort). The calibration plots showed good consistency between the nomogram prediction of OS and the actual observations of OS. Decision curve analyses indicated satisfactory clinical utility. With a total nomogram score of 196, patients were accurately classified into low-risk and high-risk groups. Furthermore, we have deployed the model into online calculators that can be accessed for free at https://ctmodelforunresectablehcc.shinyapps.io/DynNomapp/. CONCLUSION The nomogram achieved optimal individualized prognostication of OS in HCC patients who received conversion therapy, which could be a useful clinical tool to help guide postoperative personalized interventions and prognosis judgement.
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页码:3168 / +
页数:18
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