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Purpose: Liver resection is a complex procedure requiring precise removal of tumors while preserving viable tissue. This study proposes a novel approach for automated liver resection planning, using segmentations of the liver, vessels, and tumors from CT scans to predict the future liver remnant (FLR), aiming to improve pre-operative planning accuracy and patient outcomes., Methods: This study evaluates deep convolutional and Transformer-based networks under various computational setups. Using different combinations of anatomical and pathological delineation masks, we assess the contribution of each structure. The method is initially tested with ground-truth masks for feasibility and later validated with predicted masks from a deep learning model., Results: The experimental results highlight the crucial importance of incorporating anatomical and pathological masks for accurate FLR delineation. Among the tested configurations, the best performing model achieves an average Dice score of approximately 0.86, aligning closely with the inter-observer variability reported in the literature. Additionally, the model achieves an average symmetric surface distance of 0.95 mm, demonstrating its precision in capturing fine-grained structural details critical for pre-operative planning., Conclusion: This study highlights the potential for fully-automated FLR segmentation pipelines in liver pre-operative planning. Our approach holds promise for developing a solution to reduce the time and variability associated with manual delineation. Such method can provide better decision-making in liver resection planning by providing accurate and consistent segmentation results. Future studies should explore its seamless integration into clinical workflows., Competing Interests: Declarations. Conflict of interest: The authors declare that they have no Conflict of interest., (© 2025. CARS.)

Introduction: Ectopic pregnancies are a significant clinical concern, with 90 % occurring in the fallopian tubes. However, they can also manifest in other locations, including the cervix, ovary, and abdominal cavity. Abdominal pregnancies, which constitute less than 1 % of ectopic pregnancies, are associated with considerable morbidity and mortality. Among these, pregnancies located in the broad ligament are particularly rare and can sometimes be carried to term., Case Presentation: This case report discusses a 27-year-old patient presenting with a 14-week pregnancy diagnosed in the broad ligament, highlighting the challenges in prenatal diagnosis and the potential complications associated with this condition. The report details the clinical management, including an exploratory laparotomy and subsequent treatment, and underscores the importance of awareness and timely intervention in cases of broad ligament ectopic pregnancies. This case contributes to the limited literature on this uncommon type of ectopic pregnancy and emphasizes the need for further research to improve diagnostic and therapeutic approaches., Clinical Discussion: Ectopic pregnancy of the broad ligament is a relatively rare pathology documented in the literature. Its diagnosis is clinical and paraclinical, especially if ultrasound is performed early. Management is similar to that of an abdominal pregnancy. Maternal prognosis can be difficult if management is less than optimal in terms of surgery, anesthesia, resuscitation and the absence of blood products. This is why first-trimester ultrasound is so important., Conclusions: This case underscores the importance of awareness and timely intervention in managing broad ligament ectopic pregnancies, and highlighting the need for further research to improve diagnostic and therapeutic approaches., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)