Predicting early extrahepatic recurrence after local treatment of colorectal liver metastases

Abstract Background Patients who develop early extrahepatic recurrence (EHR) may not benefit from local treatment of colorectal liver metastases (CRLMs). This study aimed to develop a prediction model for early EHR after local treatment of CRLMs using a national data set. Methods A Cox regression prediction model for EHR was developed and validated internally using data on patients who had local treatment for CRLMs with curative intent. Performance assessment included calibration, discrimination, net benefit, and generalizability by internal–external cross-validation. The prognostic relevance of early EHR (within 6 months) was evaluated by landmark analysis. Results During a median follow-up of 35 months, 557 of the 1077 patients had EHR and 249 died. Median overall survival was 19.5 (95 per cent c.i. 15.6 to 23.0) months in patients with early EHR after CRLM treatment, compared with not reached (45.3 months to not reached) in patients without an early EHR. The EHR prediction model included side and stage of the primary tumour, RAS/BRAFV600E mutational status, and number and size of CRLMs. The range of 6-month EHR predictions was 5.9–56.0 (i.q.r. 12.9–22.0) per cent. The model demonstrated good calibration and discrimination. The C-index through 6 and 12 months was 0.663 (95 per cent c.i. 0.624 to 0.702) and 0.661 (0.632 to 0.689) respectively. The observed 6-month EHR risk was 6.5 per cent for patients in the lowest quartile of predicted risk compared with 32.0 per cent in the highest quartile. Conclusion Early EHR after local treatment of CRLMs can be predicted. Early extrahepatic recurrence (EHR) after local treatment of colorectal liver metastases has a major impact on prognosis. A prediction model for 6-month EHR was developed and validated internally in a population-based cohort of 1077 patients. Six-month EHR can be predicted with routine clinical information and may help guide clinical decision-making.