Modifying the t-CS by replacing disease-free interval, number of metastases, and CEA level with RAS mutation status produced an m-CS that outperformed the t-CS. The m-CS is therefore a simple validated tool that predicts survival after resection of CLM.

Background Mirizzi syndrome is a condition difficult to diagnose and treat, representing a particular “challenge” for the biliary surgeon. The disease can mimic cancer of the gallbladder, causing considerable diagnostic difficulties. Furthermore, it increases the risk of intraoperative biliary injury during cholecystectomy. The aim of this study is to point out some particular aspects of diagnosis and treatment of this condition. Methods The clinical records of patients with Mirizzi syndrome, treated in the last five years, were reviewed. Clinical data, cholangiograms, preoperative diagnosis, operative procedures, and early and late results were examined. Results Eighteen consecutive patients were treated in the last five years. Presenting symptoms were jaundice, pain, and cholangitis. Preoperative diagnosis of Mirizzi syndrome was achieved in 11 patients, while 6 had a diagnosis of gallbladder cancer and 1 of Klatskin tumor. Seventeen patients underwent surgery, including cholecystectomy in 8 cases, bile duct repair over T-tube in 3 cases, and hepaticojejunostomy in 4 cases. Two cases (11.1%) of gallbladder cancer associated with the Mirizzi syndrome were incidentally found: a patient underwent right hepatectomy and another patient was unresectable. The overall morbidity rate was 16.6%. There was no postoperative mortality. An ERCP with stent insertion was required in three cases after surgery. Sixteen patients were asymptomatic at a mean distance of 24 months (range: 6-48) after surgery. Conclusions Mirizzi syndrome requires being treated by an experienced biliary surgeon after a careful assessment of the local situation and anatomy. The preoperative placement of a stent via ERCP can simplify the surgical procedure.

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Background Most current models for predicting survival after resection of colorectal liver metastasis include largest diameter and number of colorectal liver metastases as dichotomous variables, resulting in underestimation of the extent of risk variation and substantial loss of statistical power. The aim of this study was to develop and validate a new prognostic model for patients undergoing liver resection including largest diameter and number of colorectal liver metastases as continuous variables. Methods A prognostic model was developed using data from patients who underwent liver resection for colorectal liver metastases at MD Anderson Cancer Center and had RAS mutational data. A Cox proportional hazards model analysis was used to develop a model based on largest colorectal liver metastasis diameter and number of metastases as continuous variables. The model results were shown using contour plots, and validated externally in an international multi-institutional cohort. Results A total of 810 patients met the inclusion criteria. Largest colorectal liver metastasis diameter (hazard ratio (HR) 1.11, 95 per cent confidence interval 1.06 to 1.16; P < 0.001), number of colorectal liver metastases (HR 1.06, 1.03 to 1.09; P < 0.001), and RAS mutation status (HR 1.76, 1.42 to 2.18; P < 0.001) were significantly associated with overall survival, together with age, primary lymph node metastasis, and prehepatectomy chemotherapy. The model performed well in the external validation cohort, with predicted overall survival values almost lying within 10 per cent of observed values. Wild-type RAS was associated with better overall survival than RAS mutation even when liver resection was performed for larger and/or multiple colorectal liver metastases. Conclusion The contour prognostic model, based on diameter and number of lesions considered as continuous variables along with RAS mutation, predicts overall survival after resection of colorectal liver metastasis.