Robotic vs. laparoscopic liver surgery: a single-center analysis of 600 consecutive patients in 6 years.

BACKGROUND: While laparoscopic liver surgery has become a standard procedure, experience with robotic liver surgery is still limited. The aim of this prospective study was to evaluate safety and feasibility of robotic liver surgery and compare outcomes with conventional laparoscopy. METHODS: We here report the results of a single-center, prospective, post-marketing observational study (DRKS00017229) investigating the safety and feasibility of robotic liver surgery. Baseline characteristics, surgical complexity (using the IWATE score), and postoperative outcomes were then compared to laparoscopic liver resections performed at our center between January 2015 and December 2020. A propensity score-based matching (PSM) was applied to control for selection bias. RESULTS: One hundred twenty nine robotic liver resections were performed using the da Vinci Xi surgical system (Intuitive) in this prospective study and were compared to 471 consecutive laparoscopic liver resections. After PSM, both groups comprised 129 cases with similar baseline characteristics and surgical complexity. There were no significant differences in intraoperative variables, such as need for red blood cell transfusion, duration of surgery, or conversion to open surgery. Postoperative complications were comparable after robotic and laparoscopic surgery (Clavien-Dindo ≥ 3a: 23% vs. 19%, p = 0.625); however, there were more bile leakages grade B-C in the robotic group (17% vs. 7%, p = 0.006). Length of stay and oncological short-term outcomes were comparable. CONCLUSIONS: We propose robotic liver resection as a safe and feasible alternative to established laparoscopic techniques. The object of future studies must be to define interventions where robotic techniques are superior to conventional laparoscopy.

Complexity-Adjusted Learning Curves for Robotic and Laparoscopic Liver Resection: A Word of Caution.

Background: Minimally invasive liver surgery (MILS) has a high variance in the type of resection and complexity, which has been underestimated in learning curve studies in the past. The aim of this work was to evaluate complexity-adjusted learning curves over time for laparoscopic liver resection (LLR) and robotic liver resection (RLR). Methods: Cumulative sum analysis (CUSUM) and complexity adjustment were performed using the Iwate score for LLR and RLR (n = 647). Lowest point of smoothed data was used to capture the cutoff of the increase in complexity. Data were collected retrospectively at the Department of Surgery of the Charité-Universitätsmedizin Berlin. Results: A total of 132 RLR and 514 LLR were performed. According to the complexity-adjusted CUSUM analysis, the initial learning phase was reached after 117 for LLR and 93 procedures for RLR, respectively. With increasing experience, the rate of (extended) right hemihepatectomy multiplied from 8.4% to 18.9% for LLR (P = 0.031) and from 21.6% to 58.3% for RLR (P < 0.001). Complication rates remained comparable between both episodes for LLR and RLR (T1 vs T2, P > 0.05). The complexity-adjusted CUSUM analysis demonstrated for blood transfusion, conversion, and operative time an increase during the learning phase (T1), while a steady state was reached in the following (T2). Conclusions: The learning phase for MILS after adjusting for complexity is about 4 times longer than assumed in previous studies, which should urge caution.

Safety and feasibility of robotic liver resection after previous abdominal surgeries.

BACKGROUND: While minimally invasive liver surgery has been increasingly adopted at least for minor resections, experience with robotic liver surgery is still limited to a few highly specialized centers. Due to the fear of abdominal adhesions, a history of prior surgeries is still used as an argument for open approaches. METHODS: Clinical data of all consecutive robotic resections at our center, using the da Vinci Xi surgical system, between April, 2018 and December, 2020, were collected and analyzed as part of a prospective, post-marketing observational study (DRKS00017229). Prior abdominal surgeries were specified according to the surgical approach and localization. Baseline and perioperative outcome criteria were compared between patients with prior surgeries (PS) and patients with no prior surgeries (NPS) in univariate and multivariate analyses. RESULTS: Out of the 126 patients undergoing robotic liver resections, 59% had a history of abdominal surgeries, which were most often colorectal resections (28%) followed by liver resections (20%). Patients with NPS were more likely to undergo robotic liver resection for hepatocellular carcinoma or benign tumors, and to have underlying liver cirrhosis when compared to patients with PS. Other baseline characteristics as well as the extent of resections were similar. Duration of surgery (258 min), conversion rates (6%), and postoperative complications rates (21% Clavien-Dindo ≥ 3) showed no differences between NPS and PS. A subgroup of patients with a history of prior liver surgery showed a longer duration of surgery in univariate analysis. However, this was not confirmed in multivariate analysis which instead revealed tumor entity and liver cirrhosis as independently correlated with duration of surgery. CONCLUSIONS: We propose robotic liver resection to be safe and feasible, including in patients with prior abdominal surgeries. Each patient should be evaluated for a minimally invasive procedure regardless of a history of previous operations.

Predicting the Risk of Postoperative Complications in Patients Undergoing Minimally Invasive Resection of Primary Liver Tumors.

Minimal-invasive techniques are increasingly applied in clinical practice and have contributed towards improving postoperative outcomes. While comparing favorably with open surgery in terms of safety, the occurrence of severe complications remains a grave concern. To date, no objective predictive system has been established to guide clinicians in estimating complication risks as the relative contribution of general patient health, liver function and surgical parameters remain unclear. Here, we perform a single-center analysis of all consecutive patients undergoing laparoscopic liver resection for primary hepatic malignancies since 2010. Among the 210 patients identified, 32 developed major complications. Several independent predictors were identified through a multivariate analysis, defining a preoperative model: diabetes, history of previous hepatectomy, surgical approach, alanine aminotransferase levels and lesion entity. The addition of operative time and whether conversion was required significantly improved predictions and were thus incorporated into the postoperative model. Both models were able to identify patients with major complications with acceptable performance (area under the receiver-operating characteristic curve (AUC) for a preoperative model = 0.77 vs. postoperative model = 0.80). Internal validation was performed and confirmed the discriminatory ability of the models. An easily accessible online tool was deployed in order to estimate probabilities of severe complication without the need for manual calculation.

Ecto-Nucleotide Triphosphate Diphosphohydrolase-2 (NTPDase2) Deletion Increases Acetaminophen-Induced Hepatotoxicity.

Ecto-nucleotidase triphosphate diphosphohydrolase-2 (NTPDase2) is an ecto-enzyme that is expressed on portal fibroblasts in the liver that modulates P2 receptor signaling by regulating local concentrations of extracellular ATP and ADP. NTPDase2 has protective properties in liver fibrosis and may impact bile duct epithelial turnover. Here, we study the role of NTPDase2 in acute liver injury using an experimental model of acetaminophen (APAP) intoxication in mice with global deletion of NTPDase2. Acute liver toxicity was caused by administration of acetaminophen in wild type (WT) and NTPDase2-deficient (Entpd2 null) mice. The extent of liver injury was compared by histology and serum alanine transaminase (ALT). Markers of inflammation, regeneration and fibrosis were determined by qPCR). We found that Entpd2 expression is significantly upregulated after acetaminophen-induced hepatotoxicity. Entpd2 null mice showed significantly more necrosis and higher serum ALT compared to WT. Hepatic expression of IL-6 and PDGF-B are higher in Entpd2 null mice. Our data suggest inducible and protective roles of portal fibroblast-expressed NTPDase2 in acute necrotizing liver injury. Further studies should investigate the relevance of these purinergic pathways in hepatic periportal and sinusoidal biology as such advances in understanding might provide possible therapeutic targets.