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Background: Whether the number of loco-regional treatment sessions and the time required to obtain local tumor control (LTC) affects the prognosis of patients with hepatocellular carcinoma (HCC) remains controversial. This study aimed to determine whether a longer time to LTC is a significant and independent predictor of poor treatment outcomes. Methods: In this retrospective study, we analyzed data of 139 treatment-naive patients with HCC who were not eligible for a treatment other than transarterial chemoembolization (TACE) at baseline. The outcome analyses were performed using the Cox proportional hazard model and Kaplan–Meier method, while the overall survival (OS) and progression free survival (PFS) were the primary study endpoints. Results: Overall, LTC was achieved in 82 (59%) of patients, including 67 (81%) patients who achieved LTC following TACE sessions alone and 15 (19%) subjects required additional ablation session. The median OS did not differ significantly between groups that needed 2, 3, or >3 locoregional treatment sessions to achieve LTC (p = 0.37). Longer time to LTC (in weeks) was significantly associated with shorter OS in univariate analysis (p = 0.04), but not in an adjusted model (p = 0.14). Both univariate and adjusted analyses showed that longer time to reach LTC was significantly associated with shorter PFS (adjusted HR = 1.04, 95% CI 1.001–1.09, p = 0.048). Conclusions: These findings show that the longer time to LTC is not an independent predictor of OS, but suggest that PFS may be significantly shorter in patients with longer time to LTC.

Abstract Introduction Liver transplantation (LT) is a well-established method applied for the treatment of various liver diseases, including primary and secondary malignancies, as well as acute liver failure triggered by different mechanisms. In turn, liver failure (PHLF) is the most severe complication observed after liver resection (LR). PHLF is an extremely rare indication for LT. The aim of the present study was to assess the results of LT in patients with PHLF. Methods Relevant cases were extracted from the prospectively collected database of all LTs performed in our center. All clinical variables, details of the perioperative course of each patient and long-term follow-up data were thoroughly assessed. Results Between January 2000 and August 2023, 2703 LTs were carried out. Among them, six patients underwent LT for PHLF, which accounted for 0.2% of all patients. The median age of the patients was 38 years (range 24–66 years). All patients underwent major liver resection before listing for LT. The 90-day mortality after LT was 66.7% (4 out of 6 patients), and all patients experienced complications in the posttransplant course. One patient required early retransplantation due to primary non-function (PNF). The last two transplanted patients are alive at 7 years and 12 months after LT, respectively. Conclusions In an unselected population of patients with PHLF, LT is a very morbid procedure associated with high mortality but should be considered the only life-saving option in this group.

Abstract Transarterial chemoembolization (TACE) represent the standard of therapy for non-operative hepatocellular carcinoma (HCC), while prediction of long term treatment outcomes is a complex and multifactorial task. In this study, we present a novel machine learning approach utilizing radiomics features from multiple organ volumes of interest (VOIs) to predict TACE outcomes for 252 HCC patients. Unlike conventional radiomics models requiring laborious manual segmentation limited to tumoral regions, our approach captures information comprehensively across various VOIs using a fully automated, pretrained deep learning model applied to pre-TACE CT images. Evaluation of radiomics random survival forest models against clinical ones using Cox proportional hazard demonstrated comparable performance in predicting overall survival. However, radiomics outperformed clinical models in predicting progression-free survival. Explainable analysis highlighted the significance of non-tumoral VOI features, with their cumulative importance superior to features from the largest liver tumor. The proposed approach overcomes the limitations of manual VOI segmentation, requires no radiologist input and highlight the clinical relevance of features beyond tumor regions. Our findings suggest the potential of this radiomics models in predicting TACE outcomes, with possible implications for other clinical scenarios.

Laparoscopic liver resection has become a standard practice in many surgical wards in elective liver surgery, due to its positive impact on reducing hospital stay and postoperative complications, including lower blood loss and transfusion rate. However, achieving proper hemostasis in liver surgery, due to its vast blood supply, still remains a main concern to surgeons. Therefore, numerous techniques were and are still being developed to further reduce blood loss and transfusion rate. The aim of this literature review was to summarize the best available methods for achieving the minimal blood loss and transfusion rate in laparoscopic liver surgery, according to the newest data.

Abstract Background Laparoscopic liver resections offer potential benefits but may require advanced laparoscopic skills and are volume dependent. Methods This retrospective study included 12 patients who underwent major laparoscopic resection and 24 patients after open major liver resection for liver malignancy in the time period between September 2020 and May 2021. The primary outcomes were complications according to Clavien-Dindo classification and duration of hospital stay. Results Median duration of hospital stay in laparoscopic resection group (6 days) was significantly shorter than in open resection group (8 days) (p = 0.046). Complications classified as grade II or higher were significantly less frequent in the laparoscopic resection group (2 patients) versus open resection group (13 patients) (p = 0.031). Conclusions Although laparoscopic major liver resections should be limited to expert hepatobiliary centers and are characterized by long learning curve, this approach may offer favorable short-term outcomes even during launching a new program.

Background & Aims: The coronavirus disease 2019 (COVID-19) pandemic has posed unprecedented challenges to healthcare systems and it may have heavily impacted patients with liver cancer (LC). Herein, we evaluated whether the schedule of LC screening or procedures has been interrupted or delayed because of the COVID-19 pandemic. Methods: An international survey evaluated the impact of the COVID-19 pandemic on clinical practice and clinical trials from March 2020 to June 2020, as the first phase of a multicentre, international, and observational project. The focus was on patients with hepatocellular carcinoma or intrahepatic cholangiocarcinoma, cared for around the world during the first COVID-19 pandemic wave. Results: Ninety-one centres expressed interest to participate and 76 were included in the analysis, from Europe, South America, North America, Asia, and Africa (73.7%, 17.1%, 5.3%, 2.6%, and 1.3% per continent, respectively). Eighty-seven percent of the centres modified their clinical practice: 40.8% the diagnostic procedures, 80.9% the screening programme, 50% cancelled curative and/or palliative treatments for LC, and 41.7% modified the liver transplantation programme. Forty-five out of 69 (65.2%) centres in which clinical trials were running modified their treatments in that setting, but 58.1% were able to recruit new patients. The phone call service was modified in 51.4% of centres which had this service before the COVID-19 pandemic (n = 19/37). Conclusions: The first wave of the COVID-19 pandemic had a tremendous impact on the routine care of patients with liver cancer. Modifications in screening, diagnostic, and treatment algorithms may have significantly impaired the outcome of patients. Ongoing data collection and future analyses will report the benefits and disadvantages of the strategies implemented, aiding future decision-making. Lay summary: The coronavirus disease 2019 (COVID-19) pandemic has posed unprecedented challenges to healthcare systems globally. Herein, we assessed the impact of the first wave pandemic on patients with liver cancer and found that routine care for these patients has been majorly disrupted, which could have a significant impact on outcomes.

Abstract Laparoscopic appendectomy (LA) for treatment of acute appendicitis has gained acceptance with its considerable benefits over open appendectomy. LA, however, can involve some adverse outcomes: morbidity, prolonged length of hospital stay (LOS) and hospital readmission. Identification of predictive factors may help to identify and tailor treatment for patients with higher risk of these adverse events. Our aim was to identify risk factors for serious morbidity, prolonged LOS and hospital readmission after LA. A database compiled information of patients admitted for acute appendicitis from eighteen Polish and German surgical centers. It included factors related to the patient characteristics, peri- and postoperative period. Univariate and multivariate logistic regression models were used to identify risk factors for serious perioperative complications, prolonged LOS, and hospital readmissions in acute appendicitis cases. 4618 laparoscopic appendectomy patients were included. First, although several risk factors for serious perioperative complications (C-D III-V) were found in the univariate analysis, in the multivariate model only the presence of intraoperative adverse events (OR 4.09, 95% CI 1.32–12.65, p = 0.014) and complicated appendicitis (OR 3.63, 95% CI 1.74–7.61, p = 0.001) was statistically significant. Second, prolonged LOS was associated with the presence of complicated appendicitis (OR 2.8, 95% CI: 1.53–5.12, p = 0.001), postoperative morbidity (OR 5.01, 95% CI: 2.33–10.75, p