Predicting the risk of local tumor progression after radiofrequency ablation of hepatocellular carcinoma
10.3969/j.issn.1002-1671.2024.11.027
- VernacularTitle:肝细胞癌射频消融术后局部肿瘤进展风险预测
- Author:
Hongfang WANG
1
;
Guanhua YANG
;
Minglei WANG
;
Yu BAI
;
Yong CHEN
Author Information
1. 宁夏医科大学第一临床医学院,宁夏 银川 750004
- Keywords:
hepatocellular carcinoma;
radiofrequency ablation;
local tumor progression
- From:
Journal of Practical Radiology
2024;40(11):1875-1879
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the risk factors for identifying local tumor progression(LTP)in patients with hepatocellular carcinoma(HCC)after radiofrequency ablation(RFA)and to establish a predictive model.Methods The clinical data of 122 HCC patients treated by RFA were analyzed retrospectively,and then the patients were divided into positive and negative LTP groups according to that whether LTP occurred within 12 months after RFA.The risk factors of LTP were determined using univariate and multivari-ate analysis,and the predictive model was constructed based on these factors and the internal validation was conducted.Results The results of this study showed that multiple number,diameter＞2 cm,rough margin,and adjacent to large blood vessels of the tumor could be independent predictors of LTP,which were further incorporated into constructing the predictive model.Internal validation results showed that the area under the curve(AUC)of receiver operating characteristic(ROC)curve was 0.815[95％confidence interval(CI)0.735-0.895],indicating the model with high differentiation ability.The calibration curve was drawn and the Hosmer-Lemeshow goodness-fit test showed that the model had good stability(P＞0.05).The decision curve suggested that the model had good clinical application value.Conclusion The independent risk factors of LTP of HCC after RFA are multiple number,diameter＞2 cm,rough margin,and adjacent to large blood vessels of the tumor.When the predictive model is integrated with the above factors,it can poten-tially predict the risk of local tumor and may offer useful guidance for individual treatment and follow-up.
