In comparison with CLF, operative time can be shorter for RALF if performed by an experienced team. However, costs are higher and short-term outcome is similar. Thus, RALF can not be favoured over CLF regarding perioperative outcome.

Aims: Non-invasive methods are required to diagnose presence and grading of esophageal varices in patients with hepatic cirrhosis and in this respect we have evaluated the role of transient elastography and abdominal ultrasound parameters. Material and methods: Cirrhotic patients were prospectively evaluated by transient elastography and Doppler ultrasound for diagnosis of presence and grading of esophageal varices, the results being compared with the findings of the esophagogastroduodenoscopy. Results: Sixty patients with hepatic cirrhosis were analysed. The parameters that reached statistical significance for diagnosis of esophageal varices were: liver stiffness (LSM) > 15 kPa, hemodynamic liver index (PVr1) ≥ 0.66, portal vascular resistance (PVR) > 17.66 and splenoportal index (SPI) > 4.77. The only parameter that reached statistical power for the diagnosis of large esophageal varices was LSM at a cut-off value of 28.8 kPa. Conclusions: Assessment of LSM in patients with liver cirrhosis can predict both the presence of esophageal varices and of large esophageal varices. The PVr1, PVR and SPI Doppler indexes can be used to diagnose the presence of esophageal varices but have no role in the prediction of large esophageal varices. Further studies are required to confirm these results and offer a stronger clinical significance.

The robotic-assisted transhiatal esophagectomy technique is feasible and safe. Complex procedures become less technically demanding with the help of the robotic system and, thus, the minimally invasive approach can be offered for the benefit of selected patients. Further studies are required to confirm these observations and to establish the role of this procedure in the future.

Background: Minimally invasive pancreatic surgery (MIPS) has developed over the last 3 decades and is nowadays experiencing an increased interest from the surgical community. With increasing awareness of both the public and the surgical community on patient safety, optimization of training has gained importance. For implementation of MIPS we propose 3 training phases. The first phase focuses on developing basic skills and procedure specific skills with the help of simulation, biotissue drills, video libraries, live case observations, and training courses. The second phase consists of index procedures, fellowships, and proctoring programs to ensure patient safety during the first procedures. During the third phase the surgeons aim is to safely implement the procedure into standard practice while minimizing learning curve related excess morbidity and mortality. Case selection, skills assessment, feedback, and mentoring are important methods to optimize this phase. The residual learning curve can reach up to 100 cases depending on the surgeons’ previous experience, selection of cases, and definition of the parameters used to assess the learning curve. Adequate training and high procedural volume are key to implementing MIPS safely.

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