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Background The laparoscopic approach to liver resection may reduce morbidity and hospital stay. However, uptake has been slow due to concerns about patient safety and oncological radicality. Image guidance systems may improve patient safety by enabling 3D visualisation of critical intra- and extrahepatic structures. Current systems suffer from non-intuitive visualisation and a complicated setup process. A novel image guidance system (SmartLiver), offering augmented reality visualisation and semi-automatic registration has been developed to address these issues. A clinical feasibility study evaluated the performance and usability of SmartLiver with either manual or semi-automatic registration. Methods Intraoperative image guidance data were recorded and analysed in patients undergoing laparoscopic liver resection or cancer staging. Stereoscopic surface reconstruction and iterative closest point matching facilitated semi-automatic registration. The primary endpoint was defined as successful registration as determined by the operating surgeon. Secondary endpoints were system usability as assessed by a surgeon questionnaire and comparison of manual vs. semi-automatic registration accuracy. Since SmartLiver is still in development no attempt was made to evaluate its impact on perioperative outcomes. Results The primary endpoint was achieved in 16 out of 18 patients. Initially semi-automatic registration failed because the IGS could not distinguish the liver surface from surrounding structures. Implementation of a deep learning algorithm enabled the IGS to overcome this issue and facilitate semi-automatic registration. Mean registration accuracy was 10.9 ± 4.2 mm (manual) vs. 13.9 ± 4.4 mm (semi-automatic) (Mean difference − 3 mm; p = 0.158). Surgeon feedback was positive about IGS handling and improved intraoperative orientation but also highlighted the need for a simpler setup process and better integration with laparoscopic ultrasound. Conclusion The technical feasibility of using SmartLiver intraoperatively has been demonstrated. With further improvements semi-automatic registration may enhance user friendliness and workflow of SmartLiver. Manual and semi-automatic registration accuracy were comparable but evaluation on a larger patient cohort is required to confirm these findings.

The introduction of surgical robotics to the field of surgical oncology brings with it an expectation not only of improved vision, instrumentation, and precision but also as a result, a potential for improved oncological outcomes. The current interest in the field of oesophagogastric oncology is explored in this review together with the benefits, real and potential, that robotic assistance offers surgical cancer resection as well as some of the limiting factors which may be hampering its uptake into current surgical practice. A systematic review of all the published literature up until April 2010 was examined across the field of esophageal and gastric cancer resection. A quantitative assessment of the oncological, operative, and functional outcomes was determined from each procedure. The level of evidence behind the results was determined using the Oxford Centre for Evidence-based Medicine Levels of Evidence; Therapy and Prevention. Three hundred and five cases from 19 independent studies were included for review. Nine studies explored the outcomes from robotic-assisted esophagectomy and eight, the robotic-assisted gastrectomy. Two articles included small case series of both procedures. The level of evidence was predominantly based on case series or expert opinion (Level 4 or 5) with only three unmatched or poorly matched comparative trials (Level 4) with no randomized trials evident. Improved operative outcomes and hospital stays were demonstrated with a reduction of 2 days when the robotic-assisted gastrectomy technique was employed compared with the open. No improvement in oncological outcomes could be identified with the use of the robot for either oesophageal or gastric cancer resection; however, in terms of short-term oncological outcomes, these were at least equivalent to the open approach for oesophageal cancer and early stage gastric cancer. Robotic-assisted laparoscopic surgery is a feasible technique to use to perform a safe and oncologically sound resection for oesophageal and early gastric cancer. Operative benefits appear to be encouragingly similar to the laparoscopic approach with some demonstration of improvement over the open technique despite a prolonged operative time. However, the level of evidence is suboptimal and more randomized controlled trials and long-term survival studies within a framework of measured and comparable outcomes is required.