Nomogram for Predicting Postoperative Pulmonary Metastasis in Hepatocellular Carcinoma Based on Inflammatory Markers
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Summary
This summary is machine-generated.A new nomogram using inflammatory markers, the systemic inflammatory response index (SIRI) and aspartate aminotransferase-to-platelet ratio index (APRI), accurately predicts pulmonary metastasis after liver cancer surgery.
Area Of Science
- Hepatobiliary surgery
- Oncology
- Predictive modeling
Background
- Predicting postoperative pulmonary metastasis (PM) in hepatocellular carcinoma (HCC) patients remains challenging.
- The utility of inflammatory markers for predicting PM in HCC is uncertain.
Purpose Of The Study
- To evaluate the predictive value of inflammatory markers for PM in HCC patients.
- To develop a novel nomogram model for predicting PM.
Main Methods
- Retrospective analysis of 1109 HCC cases.
- Cox regression to identify independent prognostic factors.
- Development and validation of a nomogram for PM prediction.
Main Results
- The systemic inflammatory response index (SIRI) and aspartate aminotransferase-to-platelet ratio index (APRI) were identified as independent risk factors for PM.
- The nomogram achieved a concordance index of 0.78 (95% CI: 0.74-0.81).
- Nomogram AUCs for 1-, 3-, and 5-year PM prediction ranged from 0.81 to 0.82, outperforming existing staging systems.
Conclusions
- A nomogram incorporating SIRI and APRI provides accurate prediction of postoperative PM in HCC.
- The developed nomogram demonstrates superior predictive performance compared to established staging systems.
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