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Background: The adoption of robotic techniques in liver surgery introduces significant challenges for their safe integration within hepatobiliary surgery units. This study is designed to investigate the complexities associated with establishing a robotic surgery program., Methods: Data on robotic hepatobiliary surgeries were prospectively collected from October 2021 to October 2023. Historical cohorts from the institutional experiences for comparison were hand-assisted (HALS) and purely laparoscopic procedures (PLS). Inverse probability of treatment weighting and propensity score matching were employed to compare outcomes between PLS and robotic resections. The learning curve for robotic surgeries was evaluated by the cumulative sum method., Results: In this study, 454 patients were enrolled (113 robotic surgeries, 157 HALS, and 184 PLS). The posterosuperior segments resections were significantly higher in the robotic group (47.8%) compared to PLS (31.5%) and HALS (35.7%). There were no conversions in the robotic group, in PLS 2.7% and HALS 3.8%. The degree of difficulty according to the median of the IWATE score and IMM score was significantly higher in the robot group (p < 0.001 and p = 0.008, respectively). No significant differences in short-term outcomes were observed between robotic procedures and PLS in a matched subset of patients. Operative efficiency and blood loss improved significantly after the 75th robotic surgery patient, with high-difficulty cases (IWATE ≥ 10) incorporated from the beginning., Conclusion: This study suggests that robotic liver surgery in units with prior experience in minimally invasive liver surgery offers benefits, such as a lower conversion rate and a higher rate of successful difficult resections., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: The relation between operative time and postoperative complications in liver surgery is unclear. The aim of this study is to assess the impact of operative time on the development of postoperative complications in patients who underwent minimally invasive or open liver resections of various anatomical extent and technical difficulty levels., Methods: In this retrospective cohort study, patients that underwent a right hemihepatectomy (RH), technically major resection (anatomically minor resection in segment 1, 4a, 7 or 8; TMR) or left lateral sectionectomy (LLS) between 2000 and 2022 were extracted from a multicenter database comprising the prospectively maintained databases of 31 centers in 13 countries. Minimally invasive procedures performed during the learning curve were omitted. Logistic regression models, performed separately for 9 different groups based on stratification by procedure type and allocated surgical approach, were used to assess the association between the fourth quartile of operative time (25% of patients with the longest operative time) and postoperative complications., Results: Overall, 5424 patients were included: 1351 underwent RH (865 open, 373 laparoscopic and 113 robotic), 2821 TMR (1398 open, 1225 laparoscopic and 198 robotic), and 1252 LLS (241 open, 822 laparoscopic and 189 robotic). After adjusting for potential confounders (age, BMI, gender, ASA grade, previous abdominal surgery, disease type and extent, blood loss, Pringle, intraoperative transfusions and incidents), the fourth quartile of operative time, compared to the first three quartiles, was associated with an increased risk of postoperative complications after open, laparoscopic and robotic TMR (aOR 1.35, p = 0.031; aOR 1.74, p = 0.001 and aOR 3.11, p = 0.014, respectively), laparoscopic and robotic RH (aOR 1.98, p = 0.018 and aOR 3.28, p = 0.055, respectively) and solely laparoscopic LLS (aOR 1.69, p = 0.019)., Conclusions: A prolonged operative time is associated with an increased risk of postoperative complications, although it remains to be defined if this is a causal relationship., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Iatrogenic bile duct injury (BDI) during cholecystectomy is associated with a complex and heterogeneous management owing to the burden of morbidity until their definitive treatment. This study aimed to define the textbook outcomes (TOs) after BDI with the purpose to indicate the ideal treatment and to improve it management., Methods: We collected data from patients with an BDI between 1990 and 2022 from 27 hospitals. TO was defined as a successful conservative treatment of the iatrogenic BDI or only minor complications after BDI or patients in whom the first repair resolves the iatrogenic BDI without complications or with minor complications., Results: We included 808 patients and a total of 394 patients (46.9%) achieved TO. Overall complications in TO and non-TO groups were 11.9% and 86%, respectively (P < .001). Major complications and mortality in the non-TO group were 57.4% and 9.2%, respectively. The use of end-to-end bile duct anastomosis repair was higher in the non-TO group (23.1 vs 7.8, P < .001). Factors associated with achieving a TO were injury in a specialized center (adjusted odds ratio [aOR], 4.01; 95% CI, 2.68-5.99; P < .001), transfer for a first repair (aOR, 5.72; 95% CI, 3.51-9.34; P < .001), conservative management (aOR, 5.00; 95% CI, 1.63-15.36; P = .005), or surgical management (aOR, 2.45; 95% CI, 1.50-4.00; P < .001)., Conclusion: TO largely depends on where the BDI is managed and the type of injury. It allows hepatobiliary centers to identify domains of improvement of perioperative management of patients with BDI., (Copyright © 2024. Published by Elsevier Inc.)

Background: Studies comparing hand-assisted laparoscopic (HALS)/Hybrid and pure laparoscopic (PLS) resection for colorectal cancer liver metastasis have focused on short-term results, while long-term oncological outcomes remain understudied., Methods: We established a multi-institutional retrospective cohort study from four centers with experience in minimally invasive surgery between 2004 and 2020. Primary endpoints were overall survival (OS) and disease-free survival (DFS). Other endpoints analyzed were intraoperative and postoperative outcomes. Propensity score matching (PSM) was used to minimize baseline differences., Results: A total of 219 HALS/Hybrid (57.8%) and 160 PLS (42.2%) patients were included. After PSM, 155 patients remained in each group. Operative time (182 vs. 248 min, p = 0.012), use of intraoperative ablation (12.3 vs. 4.5%, p = 0.024), positive resection margin (4.5 vs 13.2%, p = 0.012), and pringle time (21 vs. 37 min, p = 0.001) were higher in PLS group. DFS at 1, 3, 5, and 7 years in HALS/Hybrid and PLS groups were 65.4%, 39.3%, 37.5%, and 36.3% vs. 64.9%, 38.0%, 33.1%, and 33.1%, respectively (p = 0.84). OS at 1, 3, 5, and 7 years in HALS/Hybrid and PLS groups were 94.5%, 71.4%, 54.3%, and 46.0% vs. 96.0%, 68.5%, 51.2%, and 41.2%, respectively (p = 0.73)., Conclusion: Our study suggests no differences in long-term oncologic outcomes between the two techniques. We discovered that longer total operative, pringle time, higher rates of intraoperative ablation, and positive resection margins were associated with PLS. These differences in favor of HALS/Hybrid could be due to a shorter learning curve and a greater ability to control hemorrhage., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Iatrogenic bile duct injury (IBDI) is a challenging surgical complication. IBDI management can be guided by artificial intelligence models. Our study identified the factors associated with successful initial repair of IBDI and predicted the success of definitive repair based on patient risk levels., Methods: This is a retrospective multi-institution cohort of patients with IBDI after cholecystectomy conducted between 1990 and 2020. We implemented a decision tree analysis to determine the factors that contribute to successful initial repair and developed a risk-scoring model based on the Comprehensive Complication Index., Results: We analyzed 748 patients across 22 hospitals. Our decision tree model was 82.8% accurate in predicting the success of the initial repair. Non-type E (p < 0.01), treatment in specialized centers (p < 0.01), and surgical repair (p < 0.001) were associated with better prognosis. The risk-scoring model was 82.3% (79.0-85.3%, 95% confidence interval [CI]) and 71.7% (63.8-78.7%, 95% CI) accurate in predicting success in the development and validation cohorts, respectively. Surgical repair, successful initial repair, and repair between 2 and 6 weeks were associated with better outcomes., Discussion: Machine learning algorithms for IBDI are a novel tool may help to improve the decision-making process and guide management of these patients., (© 2022. The Author(s).)