Prognostic nomogram for hepatocellular carcinoma with radiofrequency ablation: a retrospective cohort study

Background Radiofrequency ablation (RFA) is an effective treatment option for hepatocellular carcinoma (HCC). This study aimed to analyze the prognostic factors of HCC patients treated with RFA and to develop nomograms for outcome prediction. Methods A total of 3142 HCC patients treated with RFA were recruited, and their data were collected from the Surveillance, Epidemiology, and End Results database. Univariate and multifactor Cox analyses were performed to identify independent prognostic factors. These factors were integrated into a nomogram to predict 3- and 5-year cancer-specific survival (CSS) and overall survival (OS). Consistency indices and calibration plots were used to assess the accuracy of the nomograms in both the internal and external cohorts. Results The median follow-up periods for HCC patients treated with RFA were 27 and 29 months for OS and CSS, respectively. Marital status, age, race, histological grade of differentiation, tumor size, T stage, and serum alpha-fetoprotein levels at the time of diagnosis were identified as prognostic factors for OS and CSS. Additionally, M stage was identified as risk factors for OS. These risk factors are included in the nomogram. The calibration plots of the OS and CSS nomograms showed excellent consistency between actual survival and nomogram predictions. The bootstrap-corrected concordance indices of the OS and CSS nomograms were 0.637 (95% CI, 0.628-0.646) and 0.670 (95% 0.661-0.679), respectively. Importantly, our nomogram performed better discriminatory compared with 8th edition tumor-node-metastasis (TNM) stage system for predicting OS and CSS. Conclusions We identified prognostic factors for HCC patients treated with RFA and provided an accurate and personalized survival prediction scheme.

Automated summary

This study identified prognostic factors for hepatocellular carcinoma patients treated with radiofrequency ablation (RFA) and developed nomograms for predicting cancer-specific survival (CSS) and overall survival (OS). The nomograms showed excellent accuracy in predicting outcomes, outperforming the traditional tumor-node-metastasis (TNM) staging system.