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Abstract Objectives Total tumor volume (TTV) is associated with overall and recurrence-free survival in patients with colorectal cancer liver metastases (CRLM). However, the labor-intensive nature of such manual assessments has hampered the clinical adoption of TTV as an imaging biomarker. This study aimed to develop and externally evaluate a CRLM auto-segmentation model on CT scans, to facilitate the clinical adoption of TTV. Methods We developed an auto-segmentation model to segment CRLM using 783 contrast-enhanced portal venous phase CTs (CT-PVP) of 373 patients. We used a self-learning setup whereby we first trained a teacher model on 99 manually segmented CT-PVPs from three radiologists. The teacher model was then used to segment CRLM in the remaining 663 CT-PVPs for training the student model. We used the DICE score and the intraclass correlation coefficient (ICC) to compare the student model’s segmentations and the TTV obtained from these segmentations to those obtained from the merged segmentations. We evaluated the student model in an external test set of 50 CT-PVPs from 35 patients from the Oslo University Hospital and an internal test set of 21 CT-PVPs from 10 patients from the Amsterdam University Medical Centers. Results The model reached a mean DICE score of 0.85 (IQR: 0.05) and 0.83 (IQR: 0.10) on the internal and external test sets, respectively. The ICC between the segmented volumes from the student model and from the merged segmentations was 0.97 on both test sets. Conclusion The developed colorectal cancer liver metastases auto-segmentation model achieved a high DICE score and near-perfect agreement for assessing TTV. Critical relevance statement AI model segments colorectal liver metastases on CT with high performance on two test sets. Accurate segmentation of colorectal liver metastases could facilitate the clinical adoption of total tumor volume as an imaging biomarker for prognosis and treatment response monitoring. Key Points Developed colorectal liver metastases segmentation model to facilitate total tumor volume assessment. Model achieved high performance on internal and external test sets. Model can improve prognostic stratification and treatment planning for colorectal liver metastases. Graphical Abstract

Background: Indicators of surgical outcomes are designed to objectively evaluate surgical performance, enabling comparisons among surgeons and institutions. In recent years, there has been a surge in complex indicators of perioperative short-term and long-term outcomes. The aim of this narrative review is to provide an overview and a critical analysis of surgical outcomes indicators, with a special emphasis on hepato-pancreato-biliary (HPB) surgery., Methods: A narrative review of outcome measures was conducted using a combined text and MeSH search strategy to identify relevant articles focused on perioperative outcomes, specifically within HPB surgery., Results: The literature search yielded 624 records, and 94 studies were included in the analysis. Included papers were classified depending on whether they assessed intraoperative or postoperative specific or composite outcomes, and whether they assessed purely clinical or combined clinical and socio-economic indicators. Specific indicators included in composite outcomes were categorized into three main domains: intraoperative metrics, postoperative outcomes, and oncological outcomes. While postoperative mortality, complications, hospital stay and readmission were the indicators most frequently included in composite outcomes, oncological outcomes were rarely considered., Conclusions: The evolution of surgical outcomes has shifted from the simplistic assessment of crude mortality rates to complex composite outcomes. Whether the recent explosion of publications on these topics has a clinical impact in real life is questionable. Outcomes from the patient perspective, integrating social and financial indicators, are not yet integrated into most of these composite analytical tools but should not be underestimated., (© 2024 The Author(s). World Journal of Surgery published by John Wiley & Sons Ltd on behalf of International Society of Surgery/Société Internationale de Chirurgie (ISS/SIC).)

Background: The introduction into the clinical practice of the navigator nurse (NaNu) to address the task of counseling and short term follow-up help the effective implementation of the fast track protocol. The aim of the present study was to investigate the impact of the standardization of the NaNu's role in patients undergoing liver surgery., Methods: Patients undergoing elective liver surgery for all diagnosis and approach, from 2015, received counseling and postoperative follow-up by NaNu and constituted the study group (n = 890). This group was compared with the control group (n = 712) including patients treated in the era before the implementation of the NaNu role (2011-2014). Outcome was evaluated in terms of discrepancy between functional recovery and discharge, number of ER accesses, number of readmissions., Results: Preoperative characteristics of patients and disease, as well as type of resection and postoperative outcomes were similar between the two groups. The proportion of laparoscopic cases was higher in the study group (51.2% vs. 32% in the control). Time for discharge, interval between functional recovery and discharge, number of ER accesses and number of readmissions were reduced in the study group. Benign diagnosis, absence of complications, laparoscopic approach and presence of NaNu were independent predictors of shorter length of stay. The positive effect of NaNu's activation was recorded in patients with complications and undergoing open surgery., Conclusion: The implementation of NaNu's role has allowed to us optimize the level of healthcare service offered to patients. The wider benefit was offered in the setting of complex patients., (© 2023 The Authors. World Journal of Surgery published by John Wiley & Sons Ltd on behalf of International Society of Surgery/Société Internationale de Chirurgie (ISS/SIC).)