Introduction The selection of the most informative quality of care indicator for laparoscopic liver surgery (LLS) is still debated; among those proposed, textbook outcome (TO) seems to provide a compositive measure of the outcomes of surgery. The aim of this study was to investigate the factors related with the TO in a cohort of patients who underwent LLS. Methods Patients who underwent LLS from 2014 to 2021 were included. TO for LLS (TOLLS) was defined as: R0 resection, absence of intraoperative incidents, severe complications, reintervention, 30-day readmission and in-hospital mortality. When also considering no prolonged length of hospital stay (LOS), the outcome was called TOLLS+. Results Four hundred twenty-one patients were included; TOLLS was achieved in 80.5%, TOLLS+ in 60.8% cases. R0 resection was obtained in 90.2% cases, intraoperative incidents occurred in 7.8%, severe complications in 5.0%, reintervention in 0.7%, readmission in 1.4% and in-hospital mortality in 0.2%. 32.5% of patients showed prolonged LOS. After univariate and multivariate analysis, factors influencing TOLLS were age (OR 0.967; p=0.003), concomitant surgery (OR 0.380; p=0.003), operative time (OR 0.996; p=0.008) and blood loss (OR 0.241; p<0.001); factors influencing TOLLS+ were ASA-score (OR 0.533; p=0.008), tumour histology (OR 0.421; p=0.021), concomitant surgery (OR 0.293; p<0.001), operative time (OR 0.997; p=0.016) and blood loss (OR 0.361; p=0.003). Conclusions TOLLS can be achieved in most patients undergoing LLR, and it seems to be influenced mostly by surgery-related factors; conversely, TOLLS+ is achieved less frequently and seems to be influenced also by patient- and tumour-related factors.

Introduction: In the last decade, several difficulty scoring systems (DSS) have been proposed to predict technical difficulty in laparoscopic liver resections (LLR). The present study aimed to investigate the ability of four DSS for LLR to predict operative, short-term, and textbook outcomes. Methods: Patients who underwent LLR at a single tertiary referral center from January 2014 to June 2020 were included in the present study. Four DSS for LLR (Halls, Hasegawa, Kawaguchi, and Iwate) were investigated to test their ability to predict operative and postoperative complications. Machine learning algorithms were used to identify the most important DSS associated with operative and short-term outcomes. Results: A total of 346 patients were included in the analysis, 28 (8.1%) patients were converted to open surgery. A total of 13 patients (3.7%) had severe (Clavien–Dindo ≥ 3) complications; the incidence of prolonged length of stay (> 5 days) was 39.3% (n = 136). No patients died within 90 days after the surgery. According to Halls, Hasegawa, Kawaguchi, and Iwate scores, 65 (18.8%), 59 (17.1%), 57 (16.5%), and 112 (32.4%) patients underwent high difficulty LLR, respectively. In accordance with a random forest algorithm, the Kawaguchi DSS predicted prolonged length of stay, high blood loss, and conversions and was the best performing DSS in predicting postoperative outcomes. Iwate DSS was the most important variable associated with operative time, while Halls score was the most important DSS predicting textbook outcomes. No one of the DSS investigated was associated with the occurrence of complication. Conclusions: According to our results DDS are significantly related to surgical complexity and short-term outcomes, Kawaguchi and Iwate DSS showed the best performance in predicting operative outcomes, while Halls score was the most important variable in predicting textbook outcome. Interestingly, none of the DSS showed any correlation with or importance in predicting overall and severe postoperative complications. Graphical

Intrahepatic cholangiocarcinoma (ICC) is a heterogeneous disease characterized by a dismal prognosis. Various attempts have been made to classify ICC subtypes with varying prognoses, but a consensus has yet to be reached. This systematic review aims to gather relevant data on the multi-omics-based ICC classification. The PubMed, Embase, and Cochrane databases were searched for terms related to ICC and multi-omics analysis. Studies that identified multi-omics-derived ICC subtypes and investigated clinicopathological predictors of long-term outcomes were included. Nine studies, which included 910 patients, were considered eligible. Mean 3- and 5-year overall survival were 25.7% and 19.6%, respectively, for the multi-omics subtypes related to poor prognosis, while they were 70.2% and 63.3%, respectively, for the subtypes linked to a better prognosis. Several negative prognostic factors were identified, such as genes’ expression profile promoting inflammation, mutations in the KRAS gene, advanced tumor stage, and elevated levels of oncological markers. The subtype with worse clinicopathological characteristics was associated with worse survival (Ref.: good prognosis subtype; pooled hazard ratio 2.06, 95%CI 1.67–2.53). Several attempts have been made to classify molecular ICC subtypes, but they have yielded heterogeneous results and need a clear clinical definition. More efforts are required to build a comprehensive classification system that includes both molecular and clinical characteristics before implementation in clinical practice to facilitate decision-making and select patients who may benefit the most from comprehensive molecular profiling in the disease’s earlier stages.

Background The American College of Surgeons National Surgical Quality Improvement Program surgical risk calculator (ACS-NSQIP SRC) has been designed to predict morbidity and mortality and help stratify surgical patients. This study evaluates the performance of the SRC for patients undergoing surgery for colorectal liver metastases (CRLM). Methods SRC was retrospectively computed for patients undergoing liver or simultaneous colon and liver surgery for colorectal cancer (CRC) in two high tertiary referral centres from 2011 to 2020. C-statistics and Brier score were calculated as a mean of discrimination and calibration respectively, for both group and for every level of surgeon adjustment score (SAS) for liver resections in case of simultaneous liver-colon surgery. An AUC ≥ 0.7 shows acceptable discrimination; a Brier score next to 0 means the prediction tool has good calibration. Results Four hundred ten patients were included, 153 underwent simultaneous resection, and 257 underwent liver-only resections. For simultaneous surgery, the ACS-NSQIP SRC showed good calibration and discrimination only for cardiac complication (AUC = 0.720, 0.740, and 0.702 for liver resection unadjusted, SAS-2, and SAS-3 respectively; 0.714 for colon resection; and Brier score = 0.04 in every case). For liver-only surgery, it only showed good calibration for cardiac complications (Brier score = 0.03). The SRC underestimated the incidence of overall complications, pneumonia, cardiac complications, and the length of hospital stay. Conclusions ACS-NSQIP SRC showed good predicting capabilities only for 1 out of 5 evaluated outcomes; therefore, it is not a reliable tool for patients undergoing liver surgery for CRLM, both in the simultaneous and staged resections.

Background: Biliary tract cancer (BTC) is an aggressive malignancy often diagnosed at an advanced stage and is associated with a poor prognosis. Non-invasive approaches can facilitate the early detection and identification of biomarkers to inform treatment strategies. Liquid biopsy, particularly through the analysis of circulating tumor DNA (ctDNA), has recently emerged as a valuable clinical and prognostic tool for guiding BTC management. Methods: The PubMed, Cochrane Library, and Wiley databases were searched for terms related to BTC and ctDNA, aiming to include studies evaluating the value of ctDNA as a predictor of overall (OS), progression-free (PFS), disease (DFS), and recurrence-free survival (RFS). Results: Twelve studies encompassing 2374 patients were considered eligible. The detection of ctDNA was associated with higher mortality and progression risk (HR 2.61, 95%CI 2.19–3.11 and HR 2.69, 95%CI 1.82–3.98, respectively), regardless of the ctDNA sampling time. The variant allele frequency (VAF) emerged as a valuable predictive marker, with higher VAF values being associated with higher mortality and progression risk (HR 2.37, 95%CI 1.83–3.06, and HR 2.22, 95%CI 1.40–3.53, respectively) compared with low levels of VAF. This association was observed regardless of chemotherapy administration, suggesting that VAF may serve as a potential marker of treatment resistance. Conclusions: This review underscores the clinical relevance of ctDNA status and related markers, such as VAF, in the management and prognostic evaluation of BTC. The findings support the integration of liquid biopsy into clinical practice to improve risk stratification, enable the early detection of relapse, and inform personalized treatment strategies, ultimately contributing to more precise and effective patient care in BTC.