BACKGROUND: Neuroendocrine neoplasms most commonly metastasize to the liver. Operative extirpation of neuroendocrine neoplasm hepatic metastases improves symptoms and seems to improve survival, but subsequent evidence is required. The current study evaluates the progression-free survival and overall survival of patients after resection (with or without ablation) of neuroendocrine neoplasm hepatic metastases. As a secondary endpoint, the prognostic factors associated with progression-free survival and overall survival were evaluated. METHODS: Seventy-four patients with neuroendocrine neoplasm hepatic metastases underwent hepatic resection between December 1992 and December 2009. Thirty-eight patients underwent synchronous cryoablation. Patients were assessed radiologically and serologically at monthly intervals for the first 3 months and then at 6-month intervals after treatment. Progression-free survival and overall survival were determined; clinicopathologic and treatment-related factors associated with progression-free survival and overall survival were evaluated through univariate and multivariate analyses. RESULTS: No patient was lost to follow-up. The median follow-up for the patients who were alive was 41 months (range, 1-162). The median progression-free survival and overall survival after hepatic resection were 23 and 95 months, respectively. Five- and 10-year overall survival were 63% and 40%, respectively. Two independent factors were associated with overall survival: histologic grade (P < .001) and extrahepatic disease (P = .021). The only independent predictor for progression-free survival was pathologic margin status (P = .023). CONCLUSION: In selected patients, aggressive operative extirpation of neuroendocrine neoplasm hepatic metastases is effective in achieving long-term survival. Disease progression, however, is a common occurrence; therefore, a multimodality treatment approach for progressive disease is necessary. Integrating the knowledge of identified prognostic factors can both improve patient selection and identify patients at greatest risk of treatment failure. Copyright Â
BACKGROUND:Neuroendocrine neoplasms most commonly metastasize to the liver. Operative extirpation of neuroendocrine neoplasm hepatic metastases improves symptoms and seems to improve survival, but subsequent evidence is required. The current study evaluates the progression-free survival and overall survival of patients after resection (with or without ablation) of neuroendocrine neoplasm hepatic metastases. As a secondary endpoint, the prognostic factors associated with progression-free survival and overall survival were evaluated. METHODS: Seventy-four patients with neuroendocrine neoplasm hepatic metastases underwent hepatic resection between December 1992 and December 2009. Thirty-eight patients underwent synchronous cryoablation. Patients were assessed radiologically and serologically at monthly intervals for the first 3 months and then at 6-month intervals after treatment. Progression-free survival and overall survival were determined; clinicopathologic and treatment-related factors associated with progression-free survival and overall survival were evaluated through univariate and multivariate analyses. RESULTS: No patient was lost to follow-up. The median follow-up for the patients who were alive was 41 months (range, 1-162). The median progression-free survival and overall survival after hepatic resection were 23 and 95 months, respectively. Five- and 10-year overall survival were 63% and 40%, respectively. Two independent factors were associated with overall survival: histologic grade (P < .001) and extrahepatic disease (P = .021). The only independent predictor for progression-free survival was pathologic margin status (P = .023). CONCLUSION: In selected patients, aggressive operative extirpation of neuroendocrine neoplasm hepatic metastases is effective in achieving long-term survival. Disease progression, however, is a common occurrence; therefore, a multimodality treatment approach for progressive disease is necessary. Integrating the knowledge of identified prognostic factors can both improve patient selection and identify patients at greatest risk of treatment failure. Copyright Â