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Introduction: No instruments are available to predict preoperatively the risk of posthepatectomy liver failure (PHLF) in HCC patients. The aim was to predict the occurrence of PHLF preoperatively by radiomics and clinical data through machine-learning algorithms., Materials and Methods: Clinical data and 3-phases CT scans were retrospectively collected among 13 Italian centres between 2008 and 2022. Radiomics features were extracted in the non-tumoral liver area. Data were split between training(70 %) and test(30 %) sets. An oversampling was run(ADASYN) in the training set. Random-Forest(RF), extreme gradient boosting (XGB) and support vector machine (SVM) models were fitted to predict PHLF. Final evaluation of the metrics was run in the test set. The best models were included in an averaging ensemble model (AEM)., Results: Five-hundred consecutive preoperative CT scans were collected with the relative clinical data. Of them, 17 (3.4 %) experienced a PHLF. Two-hundred sixteen radiomics features per patient were extracted. PCA selected 19 dimensions explaining >75 % of the variance. Associated clinical variables were: size, macrovascular invasion, cirrhosis, major resection and MELD score. Data were split in training cohort (70 %, n = 351) and a test cohort (30 %, n = 149). The RF model obtained an AUC = 89.1 %(Spec. = 70.1 %, Sens. = 100 %, accuracy = 71.1 %, PPV = 10.4 %, NPV = 100 %). The XGB model showed an AUC = 89.4 %(Spec. = 100 %, Sens. = 20.0 %, Accuracy = 97.3 %, PPV = 20 %, NPV = 97.3 %). The AEM combined the XGB and RF model, obtaining an AUC = 90.1 %(Spec. = 89.5 %, Sens. = 80.0 %, accuracy = 89.2 %, PPV = 21.0 %, NPV = 99.2 %)., Conclusions: The AEM obtained the best results in terms of discrimination and true positive identification. This could lead to better define patients fit or unfit for liver resection., Competing Interests: Declaration of interest statement No conflict of interest has to be reported for the present manuscript from each of the authors., (Copyright © 2024 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.)

Pancreatic ductal adenocarcinoma (PDAC) is a prognostically unfavorable malignancy that presents with distant metastases at the time of diagnosis in half of patients. Even if patients with metastatic PDAC have not been traditionally considered candidates for surgery, an increasing number of researchers have been investigating the efficacy of surgical treatment for patients with liver-only oligometastases from PDAC, showing promising results in extremely selected patients, mainly with metachronous metastases after perioperative chemotherapy. Nevertheless, a standardized definition of oligometastatic disease should be adopted and additional investigations focusing on the role of perioperative chemotherapy and tumor biology are warranted to reliably assess the role of resection for PDAC metastatic to the liver., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Introduction: Although the management of gynecological cancers recurrences may be challenging, due to the heterogeneity of recurrent disease, the aim of this work is to present a descriptive analysis of gynecological malignancies recurrences in our institution treated by robotic approach., Materials and Methods: We performed a retrospective review and analysis of data of patients who underwent robotic surgery for recurrent gynecological malignancies at Catholic University of the Sacred Hearth, Rome, from January 2013 to January 2024., Results: A total of 54 patients underwent successful robotic cytoreductive surgery. The median age was 63 years; the median BMI was 33 kg/m 2 and most of the patients (59 %) were obese. In 12 cases (22 %) the relapse presented was the second or third relapse. The most frequent patterns of recurrence were represented by lymph nodes (41 %), followed by peritoneal (26 %), pelvic (22 %) and parenchymal (11 %). In all patients complete cytoreduction was achieved. In 29 patients (54 %) the surgical field was previous treated. The median operative time and estimated blood loss were, respectively, 270 min and 100 ml. There were 2 intraoperative complications, managed endoscopically; 10 early postoperative complications, and 3 late postoperative complications. The 2-year progression-free-survival and overall survival were, respectively, 39.8 % and 72.3 %., Conclusion: Robotic approach in the treatment of recurrent gynecological cancers should be considered in selected patients with oligometastatic disease, in high-volume centers with expert surgeons, particularly in obese patients., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objective: The study aimed to characterize intra-and postoperative complications according to a standardized anatomo-surgical classification for ovarian cancer metastases in the liver area., Methods: Data from all patients with advanced ovarian cancer undergoing primary or secondary surgery with perihepatic liver involvement (May-2016 to May-2022), were retrospectively retrieved and classified according to a standardized anatomo-surgical classification, and clustered into four Classes: Class I "Peritoneal", Class II "Hepatoceliac-lymph-nodes", Class III "Parenchymal" and Class IV Mixed (≥ 2 classes)., Results: Data from 615 patients were collected. Intraoperative complications were observed in 15%, and severe postoperative complications in 17.6% of cases. While surgical complexity scores were similar, Class IV had longer operative times, higher blood loss, and a 30.4% intraoperative transfusion rate. Class II showed a higher prevalence of vascular injuries (8%). Classes II and IV were significantly associated with severe postoperative complications. Specific complications varied among classes, such as perihepatic collection and intrahepatic hematoma/abscess in Class III (p = 0.003, p < 0.001, respectively), and pleuric effusion, sepsis, anemia, and "other complications" in Class IV (p = 0.002, p = 0.004, p = 0.03, p = 0.03, respectively). Multivariable analysis identified Class II and IV (Class II: OR 4.991, p = 0.045; Class IV: OR 5.331, p = 0.030), Surgical Complexity Score group 3 (OR:3.922, p = 0.003), and the presence of residual tumor (OR:1.748, p = 0.048) as independent risk factors for severe postoperative complications., Conclusions: Liver procedures during advanced ovarian cancer surgery are feasible with acceptable complication rates According to the anatomo-surgical classification, metastatic patterns are related to both different surgical outcomes and postoperative complication profiles., Competing Interests: Declaration of competing interest The authors report no conflict of interest., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

In patients with hepatocellular carcinoma (HCC), liver resection is potentially curative. Nevertheless, post-operative recurrence is common, occurring in up to 70% of patients. Factors traditionally recognized to predict recurrence and survival after liver resection for HCC include pathologic factors (i.e., microvascular and capsular invasion) and an increase in alpha-fetoprotein level. During the past decade, many new markers have been reported to correlate with prognosis after resection of HCC: liquid biopsy markers, gene signatures, inflammation markers, and other biomarkers, including PIVKA-II, immune checkpoint molecules, and proteins in urinary exosomes. However, not all of these new markers are readily available in clinical practice, and their reproducibility is unclear. Liquid biopsy is a powerful and established tool for predicting long-term outcomes after resection of HCC; the main limitation of liquid biopsy is represented by the cost related to its technical implementation. Numerous patterns of genetic expression capable of predicting survival after curative-intent hepatectomy for HCC have been identified, but published findings regarding these markers are heterogenous. Inflammation markers in the form of prognostic nutritional index and different blood cell ratios seem more easily reproducible and more affordable on a large scale than other emerging markers. To select the most effective treatment for patients with HCC, it is crucial that the scientific community validate new predictive markers for recurrence and survival after resection that are reliable and widely reproducible. More reports from Western countries are necessary to corroborate the evidence.

Background: Economic impact of robotic liver surgery (RLS) is still a debated issue due to the heterogeneity of liver resections considered and the lack of a rigorous methodology. Therefore, the aim of this study is to perform a time-driven activity-based costing (TD-ABC) comparing the costs of RLS, laparoscopic liver surgery (LLS) and open liver surgery (OLS) in the context of complex liver resections and to compare short term perioperative outcomes., Methods: The institutional databases of two Italian high volume hepatobiliary centres were retrospectively reviewed from February 2021 to April 2022. Patients submitted to major hepatectomies or postero-superior liver resections were selected and divided into three groups according to the approach scheduled (RLS, LLS and OLS) and compared. Major contributors of perioperative expenses were calculated using the TD-ABC model and accurately quantifying each unit resource consumed per patient and the time spent performing each activity. A primary intention-to-treat analysis (ITT-A) including conversions in the RLS and LLS groups was performed., Results: Forty-seven RLS, 101 LLS and 124 OLS were collected. LLS and RLS showed reduced blood loss, morbidity, mortality and hospital stay compared with open. A trend towards reduced conversion rate in RLS compared to LLS was registered. Total costs associated with RLS were estimated at €10,637 vs. €9,543 for LLS and vs. €13,960 for OLS. The higher intraoperative costs associated with RLS (+153.3% vs. OLS and +148.2% vs. LLS, P<0.001), primarily related to surgical equipment expenses, were slightly offset by the postoperative savings (-56.0% vs. OLS and -29.4% vs. LLS, P<0.001) resulting from significantly reduced hospital stays., Conclusions: RLS offers economic advantages over OLS, as initial higher costs are offset by better perioperative outcomes. The evolving robotic marketplace is expected to drive down RLS costs, promoting widespread adoption in minimally invasive procedures. Despite its higher costs than LLS, RLS's ability to enhance minimally invasive feasibility makes it a preferred choice for complex cases, reducing the need for conversions., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://hbsn.amegroups.com/article/view/10.21037/hbsn-23-407/coif). L.A. serves as an unpaid editorial board member of Hepatobiliary Surgery and Nutrition. The other authors have no conflicts of interest to declare., (2024 Hepatobiliary Surgery and Nutrition. All rights reserved.)