A Systemic Inflammation Response Index (SIRI)-Based Nomogram for Predicting the Recurrence of Early Stage Hepatocellular Carcinoma After Radiofrequency Ablation
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Updated: Oct 19, 2025
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Published on: April 12, 2024
Yujing Xin1, Xinyuan Zhang1, Ying Li1
1Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Objective:
To explore the prognostic value of the systemic inflammation response index (SIRI) defined as neutrophil count × monocyte count/lymphocyte count in the patients with early stage hepatocellular carcinoma (HCC) within the Milan criteria after radiofrequency ablation (RFA).
Materials And Methods:
The prognostic value of SIRI was evaluated in a primary cohort (n = 403) and then further validated in an independent test cohort (n = 140). A novel preoperative prognostic nomogram was constructed from a multivariate analysis and validated in an external validation cohort.
Results:
The optimal cutoff value of SIRI for patient stratification into a low SIRI group and a high SIRI group was 1.36. Survival analysis showed that the median overall survival (OS) and recurrence-free survival (RFS) were significantly higher in patients with a low SIRI compared to those with a high SIRI. The alpha-fetoprotein (AFP), SIRI, tumor number and size were independent predictors of RFS based on multivariate analysis. The nomogram including the SIRI, tumor number, tumor size, AFP could more accurately determine the prognosis of HCC patients than BCLC stage (0.74 vs. 0.62, P < 0.001). In addition, the dynamic changes in post-RFA SIRI also had prognostic significance and patients with a reduction in the SIRI by > 75% had a better prognosis.
Conclusion:
Preoperative SIRI was an independent predictor for RFS in patients with early stage HCC within the Milan criteria. The comprehensive nomogram can objectively and reliably help clinicians identify high-risk patients and develop individualized treatment plans.
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