Percutaneous radiofrequency ablation of liver metastases from colorectal cancer: Development of a prognostic score to predict overall survival

Hee Ho Chu ¹, Jin Hyoung Kim ¹, Gun Ha Kim ¹

⁰Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

European Journal of Radiology +

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September 24, 2024

View abstract on PubMed

Summary

This study developed a pretreatment prediction model for overall survival (OS) in patients undergoing radiofrequency ablation (RFA) for colorectal liver metastasis (CRLM). The model effectively stratifies patients, aiding in selecting optimal candidates for RFA treatment.

Area Of Science

Oncology
Interventional Radiology
Surgical Oncology

Background

Colorectal liver metastasis (CRLM) is a common clinical challenge.
Radiofrequency ablation (RFA) is a treatment option for CRLM.
Predicting overall survival (OS) after RFA is crucial for patient management.

Purpose Of The Study

To develop a predictive model for overall survival (OS) in patients with CRLM undergoing RFA.
To identify pretreatment factors associated with OS after RFA for CRLM.

Main Methods

Retrospective analysis of 491 patients who underwent RFA for CRLM.
Kaplan-Meier method for OS rate estimation.
Multivariable Cox regression to identify independent prognostic factors.
Development of risk scores and pretreatment prediction models.

Main Results

The 5-, 10-, and 20-year OS rates were 44%, 31%, and 24%, respectively (median OS: 46 months).
Key predictors of OS included largest tumor size ≥ 2 cm, positive nodal status, high CEA level, multiple tumors, and T4 primary tumor stage.
Specific factors for single CRLM included tumor diameter, nodal status, short disease-free interval, and subcapsular location.
Prediction models showed decreased OS with increasing risk scores, with significant differences between groups.

Conclusions

Developed pretreatment prediction models serve as a prognostic stratification tool for CRLM patients.
These models can assist in identifying patients most likely to benefit from RFA.
The models aid in personalized treatment selection for CRLM.

Keywords:

Colorectal Cancer Liver Neoplasm Metastasis Prognosis Radiofrequency Ablation