Internationally, evidence supporting robotic liver resection (RLR) has gradually increased in recent years. However, a standardized protocol for RLR remains lacking. This study describes a surgical protocol and the initial outcomes of RLR in a high-volume center for robotic hepatopancreatobiliary surgery in Japan.

Patients were placed in the reverse Trendelenburg position, with a supine position for anterolateral tumors and left lateral position for posterosuperior tumors. Our standard RLR protocol involved a two-surgeon technique. Liver parenchymal transection was performed by an assistant using the clamp crush technique with a console, with or without a laparoscopic Cavitron ultrasonic surgical aspirator (CUSA). Surgical techniques, including the tips, tricks, and pitfalls of RLR, are also demonstrated.

We performed 113 RLR at our institution for common primary diseases, including hepatocellular carcinoma (n = 52, 46.0%) and metastatic tumors (n = 48, 42.5%) between July 2022 and December 2024. The median operative time and estimated blood loss were 156 min (interquartile range [IQR], 121-209 min) and 20 mL (IQR, 0-100 mL), respectively. During liver parenchymal transection, a laparoscopic CUSA was used in 59 patients (52.2%), and a water-jet scalpel was used in 12 patients (10.6%). The incidence of mortality, major complications, and bile leakage was 0%, 6.2%, and 2.7%, respectively. The median hospital stay was 7 days (IQR, 6-9 days).

We successfully introduced an RLR program using the two-surgeon technique. Safe implementation of RLR can be achieved upon completion of the training program and thorough understanding of the surgical protocols.

Minimal access liver surgery (MALS) is considered superior to open liver resection (OLR) in reducing the perioperative risk in patients affected by hepatocellular carcinoma (HCC). No national-level comparisons exist based on procedure complexity. This study aims to compare postoperative complications, postoperative ascites (POA), and major complications (MC) between MALS and OLR.

Data were retrieved from the Italian HE. RC.O.LE.S. registry. Patients were categorized into OLR or MALS groups and stratified by complexity grade (CP1, CP2, CP3). An inverse probability weighting (IPW) was performed to ensure balanced comparisons.

From 2008 to 2021, 4738 patients were included: 1596 (33.7 %) underwent MALS, and 3142 (66.3 %) underwent OLR. CP1 procedures were conducted in 2522 cases (53.2 %), CP2 in 974 cases (20.5 %), and CP3 in 1242 cases (26.2 %). For CP1, MALS was associated with reduced POA (OR 0.356, 95%CI:0.29-0.43, p < 0.001), and MC (OR 0.738, 95%CI:0.59-0.91, p: 0.006). In CP2, MALS showed association with MC (OR 0.557, 95%CI:0.37-0.82, p:0.004), but not with POA. For CP3, MALS was associated with increased MC risk (OR 1.441, 95%CI:1.10-1.88, p:0.008). Low-volume centers had significantly higher MC risks after CP2 and CP3 procedures than medium or high-volume centers.

In CP1 and CP2 procedures, MALS was proven advantageous in reducing POA and MC. Among CP3, MALS increased the risk of MC, but not among high-volume centres.

In North America, the majority of hepatectomies are still performed in traditional open fashion. Robotic hepatectomy may facilitate a minimally invasive approach to liver resection.

We report a single-center experience with the wide adaptation of robotic hepatectomy over a 5-year period.

Retrospective analysis of a prospectively maintained database of all hepatectomies (n = 334) was performed at our institution from January 2018 to January 2023. This included 164 open, 18 laparoscopic, and 152 robotic hepatectomies. Propensity score matching (PSM) was used to match open (n = 100) to robotic (n = 100) hepatectomy cases by demographics and case complexity. Standard statistics were used to compare 90-day outcomes, including textbook outcome after liver surgery (TOLS), and cost. CUSUM curves were used to determine the learning curve for major hepatectomy.

During the study period, laparoscopic hepatectomy was phased out and robotic hepatectomy became the predominant approach. The median IWATE score for the robotic cases was 8 ± 2 and 39% were major hepatectomies. The learning curve for robotic right hepatectomy was 15 cases. When PSM cases were compared, while operative time was longer, blood loss and transfusion, intraoperative incidents, overall and major morbidity, bile leaks, post-hepatectomy liver failure, hypoxia requiring supplemental oxygen, reoperation, ICU utilization, and length of stay were significantly lower in the robotic group. There was no difference in positive margins or 90-day mortality. Robotic hepatectomy was associated with significantly higher TOLS compared to open hepatectomy (85% versus 64%, p < 0.001) and on multivariate analysis, only a robotic hepatectomy approach was independently associated with achieving TOLS (OR 3.3, (1.62-6.67) 95% CI)). The lower ICU utilization and length of stay accounted for a significantly lower overall hospital cost for robotic compared to open hepatectomy despite a higher operating room cost.

We describe the successful implementation of robotic hepatectomy at our institution with favorable outcomes and cost.

Minimally invasive liver surgery (MILS) is superior to open surgery when considering decreased blood loss, fewer complications, shorter hospital stay, and similar or improved oncologic outcomes. However, operative limitations in laparoscopic hepatectomy have curved its applicability and momentum of complex minimally invasive liver surgery. Transitioning to robotic hepatectomy may bridge this complexity gap.

Retrospective cohort study conducted on comparable hepatectomies (open, laparoscopic, robotic) for benign or malignant diseases at Weill Cornell by three surgeons from 2017 to 2023. Case volume and Iwate difficulty scoring were examined over time by surgical approach. Outcome associations (operative time, estimated blood loss, length of stay, 90-day complications, open conversion, and resection margin) were analyzed using generalized estimating equations to account for the hierarchical data structure of different surgeons and controlled for clinical covariates.

Among 353 hepatectomies, 112 were open (OH), 107 were laparoscopic (LH), and 134 were robotic (RH). OH patients were more likely to have malignant pathology (83% vs. LH 69%, RH 57%) and less likely to have cirrhosis (6% vs. LH 6%, RH 14%). OH and RH had similar case complexity (Median Iwate: OH 7 vs. RH 7). After adjustments, LH and RH had 39% and 43% shorter median lengths of stay, respectively, and 89% and 62% lower odds of complications compared to OH. RH had 87% lower odds of conversion to OH compared to LH. The odds of R0 resection were similar between LH, RH, and OH. These results remained consistent in high difficulty cases (Iwate 7-12). Over the study period, RH usage increased from 36 to 68%, while LH decreased from 39 to 9%. By 2023, RH was predominantly used over OH (74% vs.26%).

The transition from laparoscopic to all-robotic approach resulted in increased case volume and complexity in MILS, largely improving perioperative outcomes in hepatectomy.

Unfavorable intraoperative findings or incidents during minimally invasive liver surgery may necessitate conversion to open surgery. This study aimed to identify predictors for conversion in minimally invasive liver surgery and gain insight into outcomes following conversions.

This nationwide, retrospective cohort study compared converted and non-converted minimally invasive liver surgery procedures using data from 20 centers in the Dutch Hepatobiliary Audit (2014-2022). Propensity score matching was applied. Subgroup analyses of converted robotic liver resection versus laparoscopic liver resection and emergency versus non-emergency conversions were performed. Predictors for conversions were identified using backward stepwise multivariable logistic regression.

Of 3,530 patients undergoing minimally invasive liver surgery (792 robotic liver resection, 2,738 laparoscopic liver resection), 408 (11.6%) were converted (4.9% robotic liver resection, 13.5% laparoscopic liver resection). Conversion was associated with increased blood loss (580 mL [interquartile range 250-1,200] vs 200 mL [interquartile range 50-500], P < .001), major blood loss (≥500 mL, 58.8% vs 26.7%, P < .001), intensive care admission (19.0% vs 8.4%, P = .005), overall morbidity (38.9% vs 21.0%, P < .001), severe morbidity (17.9% vs 9.6%, P = .002), and a longer hospital stay (6 days [interquartile range 5-8] vs 4 days [interquartile range 2-5], P < .001) but not mortality (2.2% vs 1.2%, P = .387). Emergency conversions had increased intraoperative blood loss (1,500 mL [interquartile range 700-2,800] vs 525 mL [interquartile range 208-1,000], P < .001), major blood loss (87.5% vs 59.3%, P = .005), and intensive care admission (27.9% vs 10.6%, P = .029), compared with non-emergency conversions. Robotic liver resection was linked to lower conversion risk, whereas American Society of Anesthesiologists grade ≥3, larger lesion size, concurrent ablation, technically major, and anatomically major resections were risk factors.

Both emergency and non-emergency conversions negatively impact perioperative outcomes in minimally invasive liver surgery. Robotic liver resection reduces conversion risk compared to laparoscopic liver resection.

The Iwate difficulty scoring system (DSS) is one of the most widely validated DSS for laparoscopic liver resection (LLR). However, these studies only validated the 4 difficulty levels and did not validate the 12-point difficulty index of the system. To address current limitations in the studies validating the Iwate difficulty scoring system (DSS), we performed an international multicenter study to validate the Iwate DSS across both its four difficulty levels and 12-point difficulty index.

A retrospective cohort study of 22,252 patients undergoing LLR across 64 centers worldwide between 2005 and 2021 was performed. Baseline characteristics and perioperative outcomes were analyzed across the four difficulty levels and 12-point difficulty index of the Iwate DSS.

A total of 14,759 patients met the inclusion criteria. The main indications for LLR were hepatocellular carcinoma/intrahepatic cholangiocarcinoma (52.8 %), and metastatic tumors liver (26.5 %). In terms of underlying liver pathology, 5127 patients (34.8 %) had liver cirrhosis, and 1214 patients (8.3 %) had portal hypertension. Intraoperative outcomes (operation time, blood loss, blood transfusion, use of Pringles maneuver and open conversion) and postoperative outcomes (length of stay, morbidity, major complications, and 90-day mortality) significantly increased with stepwise increases across the four difficulty levels (P < 0.001) and 12-point difficulty index (P < 0.001). These trends remained significant following adjustment for baseline characteristics (P < 0.001).

The Iwate DSS 12-point difficulty index and four difficulty levels correlated well with LLR difficulty as determined by key surrogate perioperative measures.

To establish the first consensus guidelines on the safety and indications of robotics in Hepato-Pancreatic-Biliary (HPB) surgery. The secondary aim was to identify priorities for future research.

HPB robotic surgery is reaching the IDEAL 2b exploration phase for innovative technology. An objective assessment endorsed by the HPB community is timely and needed.

The ROBOT4HPB conference developed consensus guidelines using the Zurich-Danish model. An impartial and multidisciplinary jury produced unbiased guidelines based on the work of 10 expert panels answering predefined key questions and considering the best-quality evidence retrieved after a systematic review. The recommendations conformed with the GRADE and SIGN50 methodologies.

Sixty-four experts from 20 countries considered 285 studies, and the conference included an audience of 220 attendees. The jury (n=10) produced recommendations or statements covering 5 sections of robotic HPB surgery: technology, training and expertise, outcome assessment, and liver and pancreatic procedures. The recommendations supported the feasibility of robotics for most HPB procedures and its potential value in extending minimally invasive indications, emphasizing, however, the importance of expertise to ensure safety. The concept of expertise was defined broadly, encompassing requirements for credentialing HPB robotics at a given center. The jury prioritized relevant questions for future trials and emphasized the need for prospective registries, including validated outcome metrics for the forthcoming assessment of HPB robotics.

The ROBOT4HPB consensus represents a collaborative and multidisciplinary initiative, defining state-of-the-art expertise in HPB robotics procedures. It produced the first guidelines to encourage their safe use and promotion.

Limited and heterogeneous literature data necessitate a focused examination of the learning curve in robotic liver resections. This study aims to assess the learning curve of two surgeons from the same team with differing laparoscopic backgrounds.

Since February 2021, San Raffaele Hospital in Milan has implemented a robotic liver surgery program, performing 250 resections by three trained console surgeons. Using cumulative sum (CUSUM) analysis, the learning curve was evaluated for a Pioneer Surgeon (PS) with around 1200 laparoscopic cases and a New Generation Surgeon (NGS) with approximately 100 laparoscopic cases. Cases were stratified by complexity (38 low, 74 intermediate, 85 high).

Both PS and NGS demonstrated a learning curve for operative time after 15 low-complexity and 10 intermediate-complexity cases, with high-complexity learning curves apparent after 10 cases for PS and 18 cases for NGS. Conversion rates remained unaffected, and neither surgeon experienced increased blood loss or postoperative complications. A "team learning curve" effect in terms of operative time emerged after 12 cases, suggesting the importance of a cohesive surgical team.

The robotic platform facilitated a relatively brief learning curve for low and intermediate complexity cases, irrespective of laparoscopic background, underscoring the benefits of team collaboration.

Despite the growing adoption of laparoscopic hepatectomy (LH) for intrahepatic cholangiocarcinoma (ICC), there is no scoring system available designed to evaluate its surgical complexity. This paper aims to introduce a novel difficulty scoring system (DSS), designated as the Wei-DSS, exclusively tailored to assess the surgical difficulty of pure LH for ICC. We retrospectively collected clinical data from ICC patients who underwent pure LH at our institution, spanning from November 2018 to May 2024. Patients were categorized into two levels of Wei-DSS scores (low-difficulty [5-6], and high-difficulty [7-10]) determined by tumor characteristics, liver texture, resection extent and tumor marker levels. A total of 104 patients were enrolled in this study including a low-difficulty (LD) group comprising 47 patients and a high-difficulty (HD) group comprising 57 patients. Perioperative comparisons indicated that the HD group was significantly associated with a longer operation time (318.14 ± 125.89 min vs. 222.83 ± 119.03 min, P < 0.001), higher rates of intraoperative blood transfusions (59.6% vs. 27.7%, P = 0.001), and increased rates of postoperative complications (84.2% vs. 48.9%, P < 0.001) compared to the LD group. The receiver operating characteristic (ROC) curve analysis indicated that the Wei-DSS demonstrated superior predictive accuracy over the Major/Minor Classification for predicting postoperative complication rates (area under the curve [AUC] 0.702 vs. 0.622) and operating time (AUC 0.720 vs. 0.604 ). The Wei-DSS score may have the potential to assist surgeons in categorizing ICC patients with varying levels of surgical difficulty of LH, though it warrants further validations across multiple centers to solidify its efficacy and reliability.

To compare nationwide outcomes of robotic liver resection (RLR) with laparoscopic liver resection (LLR).

Minimally invasive liver resection is increasingly performed using the robotic approach as this could help overcome inherent technical limitations of laparoscopy. It is unknown if this translates to improved patient outcomes.

Data from the mandatory Dutch Hepatobiliary Audit were used to compare perioperative outcomes of RLR and LLR in 20 centers in the Netherlands (2014-2022). Propensity score matching (PSM) was used to mitigate selection bias. Sensitivity analyses assessed the impact of the learning curve (≥50 procedures for LLR and ≥25 procedures for RLR), concurrent noncholecystectomy operations, high-volume centers, and conversion on outcomes.

Overall, 792 RLR and 2738 LLR were included. After PSM (781 RLR vs 781 LLR), RLR was associated with less blood loss (median: 100 mL [interquartile range (IQR): 50-300] vs 200 mL [IQR: 50-500], P = 0.002), less major blood loss (≥500 mL,18.6% vs 25.2%, P = 0.011), less conversions (4.9% vs 12.8%, P < 0.001), and shorter hospital stay (median: 3 days [IQR: 2-5] vs 4 days [IQR: 2-6], P < 0.001), compared with LLR. There were no significant differences in overall and severe morbidity, readmissions, mortality, and R0 resection rate. Sensitivity analyses yielded similar results. When excluding conversions, RLR was only associated with a reduction in reoperations (1.1% vs 2.7%, P = 0.038).

In this nationwide analysis, RLR was associated with a reduction in conversion, blood loss and length of hospital stay without compromising patient safety, also when excluding a learning curve effect. The benefits of RLR seem to be mostly related to a reduction in conversions.

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.

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.

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).

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.

The rapid uptake of minimally invasive antireflux surgery has led to interest in learning curves for this procedure. This study ascertains the learning curve in laparoscopic and robotic-assisted antireflux surgery. A systematic review of the literature pertaining to learning curves in minimally invasive fundoplication with or without hiatal hernia repair was performed using PubMed, Medline, Embase, Web of Science, and Cochrane Library databases. A meta-regression analysis was undertaken to identify the number of cases to achieve surgical proficiency, and a meta-analysis was performed to compare outcomes between cases that were undertaken during a surgeon's learning phase and experienced phase. Twenty-five studies met the eligibility criteria. A meta-regression analysis was performed to quantitatively investigate the trend of number of cases required to achieve surgical proficiency from 1996 to present day. Using a mixed-effects negative binomial regression model, the predicted learning curve for laparoscopic and robotic-assisted antireflux surgery was found to be 24.7 and 31.1 cases, respectively. The meta-analysis determined that surgeons in their learning phase may experience a moderately increased rate of conversion to open procedure (odds ratio [OR] 2.44, 95% confidence interval [CI] 1.28, 4.64), as well as a slightly increased rate of intraoperative complications (OR 1.60; 95% CI 1.08, 2.38), postoperative complications (OR 1.98; 95% CI 1.36, 2.87), and needing reintervention (OR 1.64; 95% CI 1.16, 2.34). This study provides an insight into the expected caseload to be competent in performing antireflux surgery. The discrepancy between outcomes during and after the learning curve for antireflux surgery suggests a need for close proctorship for learning surgeons.

This study's aim was to show the feasibility and safety of robotic liver resection (RLR) even without extensive experience in major laparoscopic liver resection (LLR).

A single center, retrospective analysis was performed for consecutive liver resections for solid liver tumors from 2014 to 2022.

The analysis included 226 liver resections, comprising 127 (56.2%) open surgeries, 28 (12.4%) LLR, and 71 (31.4%) RLR. The rate of RLR increased and that of LLR decreased over time. In a comparison between propensity score matching-selected open liver resection and RLR (41:41), RLR had significantly less blood loss (384 ± 413 vs 649 ± 646 mL, P = .030) and shorter hospital stay (4.4 ± 3.0 vs 6.4 ± 3.7 days, P = .010), as well as comparable operative time (289 ± 123 vs 290 ± 132 mins, P = .954). A comparison between LLR and RLR showed comparable perioperative outcomes, even with more surgeries with higher difficulty score included in RLR (5.2 ± 2.7 vs 4.3 ± 2.5, P = .147). The analysis of the learning curve in RLR demonstrated that blood loss, conversion rate, and complication rate consistently improved over time, with the case number required to achieve the learning curve appearing to be 60 cases.

The findings suggest that RLR is a feasible, safe, and acceptable platform for liver resection, and that the safe implementation and dissemination of RLR can be achieved without solid experience of LLR.

The aim of this study was to investigate the perioperative outcomes of robotic liver surgery (RLS) and Open liver surgery (OLS) in a centre with a high number of operations.

A 1:1 propensity score matched (PSM) analysis of a retrospective database of RLS and OLS was performed. Cumulative sum (CUSUM) analysis was performed to identify learning curves.

After PSM analysis, operative time was significantly longer in the RLS group (p < 0.001). Estimated blood loss was significantly lower in the RLS group (p < 0.001). Transfusion rates were significantly lower in the RLS group. The length of hospital stay was shorter in the RLS group (3.5vs6.3 days, p < 0.001). Readmission rates were significantly lower in the RLS group (p < 0.049). CUSUM analysis showed a learning curve for at least 8 low-intermediate RLS procedures and 27 advanced-Expert RLS procedures.

RLS has many advantages, including being safe to perform, less blood loss and faster postoperative recovery compared with OLS.

There is much heterogeneity in the instrumentation used for parenchymal transection in minimally invasive liver surgery. Instruments specifically designed for robotic parenchymal transection of the liver are lacking. We aim to gain insight into the safety and effectiveness of the SynchroSeal (Intuitive Surgical, Inc., Sunnyvale, CA), a novel bipolar electrosurgical device, in the context of liver surgery.

The present study is a post-hoc analysis of prospectively collected data from patients undergoing robotic liver resection (RLR) using the SynchroSeal in two high-volume centres. The results of the SynchroSeal were compared with that of the previous generation bipolar-sealer; Vessel Sealer Extend (Intuitive Surgical, Inc., Sunnyvale, CA) using propensity score matching, after excluding the first 25 Vessel Sealer procedures per center.

During the study period (February 2020-March 2023), 155 RLRs meeting the eligibility criteria were performed with the SynchroSeal (after implementation in June 2021) and 145 RLRs with the Vessel Sealer. Excellent outcomes were achieved when performing parenchymal transection with the SynchroSeal; low conversion rate (n = 1, 0.6%), small amounts of intraoperative blood loss (median 40 mL [IQR 10-100]), short hospital stays (median 3 days [IQR 2-4]), and adequate overall morbidity (19.4%) as well as severe morbidity (11.0%). In a matched comparison (n = 94 vs n = 94), the SynchroSeal was associated with less intraoperative blood loss (48 mL [IQR 10-143] vs 95 mL [IQR 30-200], p = 0.032) compared to the Vessel Sealer. Other perioperative outcomes were similar between the devices.

The SynchroSeal is a safe and effective device for robotic liver parenchymal transection.

The evolution of laparoscopic liver surgery, originating in the 1990s, has been marked by significant advancements and milestones, overcoming initial technical hurdles and gaining widespread acceptance within the surgical community as a precise and safe alternative to open procedures. Along this journey, numerous challenges emerged, leading to the accumulation of evidence and the development of guidelines aimed at assisting surgeons in determining the safety, suitability, and complexity of laparoscopic liver resection. This chapter provides a thorough examination of key aspects of laparoscopic liver resection, including difficulty scoring systems, criteria for patient selection, technical considerations, outcomes across different types of liver lesions, and the innovative solutions developed to address challenges, thus offering a comprehensive overview of laparoscopic liver resection, and highlighting its evolving significance in modern hepatobiliary surgery.

Minimally invasive hepatectomy for difficult lesions located in posterosuperior segments (segments I, IVa, VII and VIII) remains challenging. The value of robotic liver resection (RLR) compared with laparoscopic liver resection (LLR) for posterosuperior segments is controversial. Therefore, we performed this meta-analysis to validate the safety and efficacy of RLR in posterosuperior segments.

The Medline, Embase, Web of Science, and Cochrane Library electronic databases were searched to identify available research published up to October 2023. Statistical analysis was performed with RevMan software version 5.3.

Six studies with a total of 2289 patients (RLR: n = 749; LLR: n = 1540) were included in this meta-analysis. The RLR group had less intraoperative blood loss (WMD = -119.54 ml, 95% CI: -178.89 to -60.19, P < 0.0001), fewer blood transfusions (OR = 0.56, 95% CI: 0.39 to 0.80, P = 0.001), a lower conversion rate (OR = 0.37, 95% CI: 0.23 to 0.61, P < 0.0001), and a shorter operative time (WMD = -27.16 min, 95% CI: -35.95 to -18.36, P < 0.00001).

Compared with LLR, RLR for lesions in the posterosuperior segments could be safe and effective, and it has superior surgical outcomes.

Despite the increasing widespread adoption and experience in minimally invasive liver resections (MILR), open conversion occurs not uncommonly even with minor resections and as been reported to be associated with inferior outcomes. We aimed to identify risk factors for and outcomes of open conversion in patients undergoing minor hepatectomies. We also studied the impact of approach (laparoscopic or robotic) on outcomes.

This is a post-hoc analysis of 20,019 patients who underwent RLR and LLR across 50 international centers between 2004-2020. Risk factors for and perioperative outcomes of open conversion were analysed. Multivariate and propensity score-matched analysis were performed to control for confounding factors.

Finally, 10,541 patients undergoing either laparoscopic (LLR; 89.1%) or robotic (RLR; 10.9%) minor liver resections (wedge resections, segmentectomies) were included. Multivariate analysis identified LLR, earlier period of MILR, malignant pathology, cirrhosis, portal hypertension, previous abdominal surgery, larger tumor size, and posterosuperior location as significant independent predictors of open conversion. The most common reason for conversion was technical issues (44.7%), followed by bleeding (27.2%), and oncological reasons (22.3%). After propensity score matching (PSM) of baseline characteristics, patients requiring open conversion had poorer outcomes compared with successful MILR cases as evidenced by longer operative times, more blood loss, higher requirement for perioperative transfusion, longer duration of hospitalization and higher morbidity, reoperation, and 90-day mortality rates.

Multiple risk factors were associated with conversion of MILR even for minor hepatectomies, and open conversion was associated with significantly poorer perioperative outcomes.

Evidence concerning long-term outcome of robotic liver resection (RLR) and laparoscopic liver resection (LLR) for hepatocellular carcinoma (HCC) patients is scarce.

This study enrolled all patients who underwent RLR and LLR for resectable HCC between July 2016 and July 2021. Propensity score matching (PSM) was employed to create a 1:3 match between the RLR and LLR groups. A comprehensive collection and analysis of patient data regarding efficacy and safety have been conducted, along with the evaluation of the learning curve for RLR.

Following PSM, a total of 341 patients were included, with 97 in the RLR group and 244 in the LLR group. RLR group demonstrated a significantly longer operative time (median [IQR], 210 [152.0-298.0] min vs. 183.5 [132.3-263.5] min; p = 0.04), with no significant differences in other perioperative and short-term postoperative outcomes. Overall survival (OS) was similar between the two groups (p = 0.43), but RLR group exhibited improved recurrence-free survival (RFS) (median of 65 months vs. 56 months, p = 0.006). The estimated 5-year OS for RLR and LLR were 74.8% (95% CI: 65.4-85.6%) and 80.7% (95% CI: 74.0-88.1%), respectively. The estimated 5-year RFS for RLR and LLR were 58.6% (95% CI: 48.6-70.6%) and 38.3% (95% CI: 26.4-55.9%), respectively. In the multivariate Cox regression analysis, RLR (HR: 0.586, 95% CI (0.393-0.874), p = 0.008) emerged as an independent predictor of reducing recurrence rates and enhanced RFS. The operative learning curve indicates that approximately after the 11th case, the learning curve of RLR stabilized and entered a proficient phase.

OS was comparable between RLR and LLR, and while RFS was improved in the RLR group. RLR demonstrates oncological effectiveness and safety for resectable HCC.

The robotic platform is growing in popularity for hepatobiliary resections. Although the learning curve for basic competency has been reported, this is the first study to analyze the learning curve to achieve long-term mastery on a decade of experience with more than 500 robotic hepatectomies.

After institutional review board approval, 500 consecutive robotic hepatectomies from 2013 to 2023 were analyzed. Cumulative sum (CUSUM) analysis using operative duration was used to determine the learning curves.

A total of 500 patients were included in this study: composed of 230 men (46.0 %) and 270 women (54.0 %), aged 63.0 (61.0 ± 14.6) years, with a body mass index of 28.0 (29.0 ± 8.0) kg/m2, a Model for End-Stage Liver Disease score of 7 (8 ± 3.0), an albumin-bilirubin score of -3.0 (-3.0 ± 0.6), and a Child-Pugh score of 5.0 (5.0 ± 0.7). Operative duration was 235.0 (260.1 ± 131.9) minutes, estimated blood loss was 100.0 (165.0 ± 208.1) mL, tumor size was 4.0 (5.0 ± 3.5) cm, and 94.0 % of patients achieved R0 margins. The length of hospital stay was 3.0 (4.0 ± 3.7) days, with 4.0 % of patient having major complications. Of note, 30-day readmission was 17.0 %, 30-day mortality was 2.0 %, and 90-day mortality was 3.0 %. On CUSUM analysis, the learning curve for minor resection (n = 215) was 75 cases, major resection (n = 154) was 100 cases, and technically challenging minor resection (n = 131) was 57 cases. Gaining more experience in performing surgical procedures resulted in shorter operative duration, lower blood loss, higher R0 resections, and lower major postoperative complications.

The minimum number of robotic hepatectomies to overcome the learning curves for mastery of minor, major, and technically challenging minor resections was significant. Our study can help guide surgeons in their early experience to optimize patient safety and outcomes.

This study evaluated the cost-effectiveness of open, laparoscopic, and robotic liver resection.

A comprehensive literature review and Bayesian network meta-analysis were conducted. Surface under cumulative ranking area values, mean difference, odds ratio, and 95% credible intervals were calculated for all outcomes. Cluster analysis was performed to determine the most cost-effective clustering approach. Costs-morbidity, costs-mortality, and costs-efficacy were the primary outcomes assessed, with postoperative overall morbidity, mortality, and length of stay associated with total costs for open, laparoscopic, and robotic liver resection.

Laparoscopic liver resection incurred the lowest total costs (laparoscopic liver resection versus open liver resection: mean difference -2,529.84, 95% credible intervals -4,192.69 to -884.83; laparoscopic liver resection versus robotic liver resection: mean difference -3,363.37, 95% credible intervals -5,629.24 to -1,119.38). Open liver resection had the lowest procedural costs but incurred the highest hospitalization costs compared to laparoscopic liver resection and robotic liver resection. Conversely, robotic liver resection had the highest total and procedural costs but the lowest hospitalization costs. Robotic liver resection and laparoscopic liver resection had a significantly reduced length of stay than open liver resection and showed less postoperative morbidity. Laparoscopic liver resection resulted in the lowest readmission and liver-specific complication rates. Laparoscopic liver resection and robotic liver resection demonstrated advantages in costs-morbidity efficiency. While robotic liver resection offered notable benefits in mortality and length of stay, these were balanced against its highest total costs, presenting a nuanced trade-off in the costs-mortality and costs-efficacy analyses.

Laparoscopic liver resection represents a more cost-effective option for hepatectomy with superior postoperative outcomes and shorter length of stay than open liver resection. Robotic liver resection, though costlier than laparoscopic liver resection, along with laparoscopic liver resection, consistently exceeds open liver resection in surgical performance.

The aim was to analyze the learning curves of minimal invasive liver surgery(MILS) and propose a standardized reporting.

MILS offers benefits compared to open resections. For a safe introduction along the learning curve, formal training is recommended. However, definitions of learning curves and methods to assess it lack standardization.

A systematic review of PubMed, Web of Science, and CENTRAL databases identified studies on learning curves in MILS. The primary outcome was the number needed to overcome the learning curve. Secondary outcomes included endpoints defining learning curves, and characterization of different learning phases(competency, proficiency and mastery).

60 articles with 12'241 patients and 102 learning curve analyses were included. The laparoscopic and robotic approach was evaluated in 71 and 18 analyses and both approaches combined in 13 analyses. Sixty-one analyses (60%) based the learning curve on statistical calculations. The most often used parameters to define learning curves were operative time (n=64), blood loss (n=54), conversion (n=42) and postoperative complications (n=38). Overall competency, proficiency and mastery were reached after 34 (IQR 19-56), 50 (IQR 24-74), 58 (IQR 24-100) procedures respectively. Intraoperative parameters improved earlier (operative time: competency to proficiency to mastery: -13%, 2%; blood loss: competency to proficiency to mastery: -33%, 0%; conversion rate (competency to proficiency to mastery; -21%, -29%), whereas postoperative complications improved later (competency to proficiency to mastery: -25%, -41%).

This review summarizes the highest evidence on learning curves in MILS taking into account different definitions and confounding factors. A standardized three-phase reporting of learning phases (competency, proficiency, mastery) is proposed and should be followed.

Minimally invasive abdominal surgery (MAS) can exert a physical cost. Surgical trainees spend years assisting minimally-invasive surgeries, increasing the risk of workplace injury. This prospective questionnaire-based cohort study was conducted amongst general surgery residents in Singapore. Residents assisting major MAS surgery were invited to complete anonymous online survey forms after surgery. The Phase 1 survey assessed physical discomfort scores and risk factors. Intraoperative measures to improve ergonomics were administered and evaluated in Phase 2. During Phase 1 (October 2021 to April 2022), physical discomfort was reported in at least one body part in 82.6% (n = 38) of respondents. Over a third of respondents reported severe discomfort in at least one body part (n = 17, 37.0%). Extremes of height, training seniority, longer surgical duration and operative complexity were significant risk factors for greater physical discomfort. In Phase 2 (October 2022 to February 2023), the overall rate of physical symptoms and severe discomfort improved to 81.3% (n = 52) and 34.4% (n = 22) respectively. The ergonomic measure most found useful was having separate television monitors for the primary surgeon and assistants, followed by intraoperative feedback on television monitor angle or position. Close to 20% of survey respondents felt that surgeon education was likely to improve physical discomfort.

Background/Objectives: The IWATE criteria are well-established as a helpful tool to preoperatively estimate the difficulty and perioperative outcome of laparoscopic liver resections. We evaluated the relationship between the IWATE criteria and the perioperative outcomes in robotic-assisted liver resections (RARLs). Methods: We retrospectively analyzed the data of 58 patients who underwent robotic-assisted liver surgery at our center between July 2019 and April 2023. The operative difficulty of every patient was graded according to the IWATE criteria and compared to the perioperative outcome. Results: The median operation time was 236.5 min (range 37-671 min), and the median length of stay was 6 days (range 3-37 min). The majority had no complications (65.5%; n = 38), 18 (31.0%) patients suffered from mild complications (CD ≤ 3A) and 2 patients (3.4%) suffered from relevant complications (CD ≥ 3B). We observed no deaths within 30 postoperative days. The surgery time, postoperative ICU stay and perioperative blood transfusions increased significantly with a higher difficulty level (p = < 0.001; p < 0.001; p = 0.016). The length of stay, conversion to open surgery (n = 2) and complication rate were not significantly linked to the resulting IWATE group. Conclusions: The IWATE criteria can be implemented in robotic-assisted liver surgery and can be helpful in preoperatively estimating the difficulty of robotic liver resections. Whether there is a "robotic effect" in minimally invasive liver resections has to be further clarified. The IWATE criteria can help to develop curricula for robotic training.

Difficulty scoring system (DSS) has been established for laparoscopic hepatectomy and serves as useful tools to predict difficulty and guide preoperative planning. Despite increased adoption of robotics and its unique technical characteristics compared with laparoscopy, no DSS currently exists for robotic hepatectomy. We aimed to introduce a new DSS for robotic hepatectomy.

A total of 328 patients undergoing a robotic hepatectomy were identified. After removing the first 24 major and 30 minor hepatectomies using cumulative-sum analysis, 274 patients were included in this study. Relevant clinical variables underwent linear regression using operative time and/or estimated blood loss (EBL) as markers for operative difficulty. Score distribution was analyzed to develop a difficulty-level grouping system.

Of the 274 patients, neoadjuvant chemotherapy; tumor location, size, and type; the extent of parenchymal resection; the need for portal lymphadenectomy; and the need for biliary resection with hepaticojejunostomy were significantly associated with operative time and/or EBL. They were used to develop the difficulty scores from 1 to 49. Grouping system results were group 1 (less demanding/beginner), 1 to 8 (n = 39); group 2 (intermediate), 9 to 24 (n = 208); group 3 (more demanding/advanced), 25 to 32 (n = 17); and group 4 (most demanding/expert), 33 to 49 (n = 10). When stratified by group, age, previous abdominal operation, Child-Pugh score, operative duration, EBL, major resection, 30-day mortality, 90-day mortality, and length of stay were significantly different among the groups.

In addition to established variables in laparoscopic systems, new factors such as the need for portal lymphadenectomy and biliary resection specific to the robotic approach have been identified in this new robotic DSS. Internal and external validations are the next steps in maturing this robotic DSS.

Laparoscopic surgery is performed worldwide and has clear economic and social benefits in terms of patient recovery time. It is used for most gastrointestinal surgical procedures, but laparoscopic surgery for more complex procedures in the esophageal, hepatobiliary, and pancreatic regions remains challenging. Minimally invasive surgery that results in accurate tumor dissection is vital in surgical oncology, and development of surgical systems and instruments plays a key role in assisting surgeons to achieve this. A notable advance in the latter half of the 1990s was the da Vinci Surgical System, which involves master-slave surgical support robots. Featuring high-resolution three-dimensional (3D) imaging with magnification capabilities and forceps with multi-joint function, anti-shake function, and motion scaling, the system compensates for the drawbacks of conventional laparoscopic surgery. It is expected to be particularly useful in the field of hepato-biliary-pancreatic surgery, which requires delicate reconstruction involving complex liver anatomy with diverse vascular and biliary systems and anastomosis of the biliary tract, pancreas, and intestines. The learning curve is said to be short, and it is hoped that robotic surgery will be standardized in the near future. There is also a need for a standardized robotic surgery training system for young surgeons that can later be adapted to a wider range of surgeries. This systematic review describes trends and future prospects for robotic surgery in the hepatobiliary-pancreatic region.