A Novel Nomogram to Predict the Prognosis of Patients Undergoing Liver Resection for Neuroendocrine Liver Metastasis: an Analysis of the Italian Neuroendocrine Liver Metastasis Database

作者：Ruzzenente Andrea; Bagante Fabio; Bertuzzo Francesca; Aldrighetti Luca; Ercolani Giorgio; Giuliante Felice; Ferrero Alessandro; Torzilli Guido; Grazi Gian Luca; Ratti Francesca; Cucchetti Alessandro; De Rose Agostino M; Russolillo Nadia; Cimino Matteo; Perri Pasquale; Cataldo Ivana; Scarpa Aldo; Guglielmi Alfredo; Iacono Calogero^*

来源：Journal of Gastrointestinal Surgery, 2017, 21(1): 41-48.

DOI：10.1007/s11605-016-3228-6

• Neuroendocrine liver metastasis
• Liver surgery
• Prognostic model

Even though surgery remains the only potentially curative option for patients with neuroendocrine liver metastases, the factors determining a patient's prognosis following hepatectomy are poorly understood. Using a multicentric database including patients who underwent hepatectomy for NELMs at seven tertiary referral hepato-biliary-pancreatic centers between January 1990 and December 2014, we sought to identify the predictors of survival and develop a clinical tool to predict patient's prognosis after liver resection for NELMs. The median age of the 238 patients included in the study was 61.9 years (interquartile range 51.5-70.1) and 55.9 % (n = 133) of patients were men. The number of NELMs (hazard ratio = 1.05), tumor size (HR = 1.01), and Ki-67 index (HR = 1.07) were the predictors of overall survival. These variables were used to develop a nomogram able to predict survival. According to the predicted 5-year OS, patients were divided into three different risk classes: 19.3, 55.5, and 25.2 % of patients were in low (> 80 % predicted 5-year OS), medium (40-80 % predicted 5-year OS), and high (< 40 % predicted 5-year OS) risk classes. The 10-year OS was 97.0, 55.9, and 20.0 % in the low, medium, and high-risk classes, respectively (p < 0.001). We developed a novel nomogram that accurately (c-index > 70 %) staged and predicted the prognosis of patients undergoing liver resection for NELMs.

• 出版日期2017-1