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Global Consensus Established for Managing Perihilar Cholangiocarcinoma

A multidisciplinary jury of 71 international experts produced 71 recommendations for managing perihilar cholangiocarcinoma (pcca) after reviewing 570 studies. Their consensus emphasized the need for centralized care and multidisciplinary expertise to improve patient outcomes, focusing on curative resection and minimizing morbidity. Through a systematic evidence review, the panel addressed key areas, including diagnosis, preoperative assessment, and surgical options. The initiative aims to unify treatment strategies globally, bridging the gap between clinical evidence and expert opinion.

Journal Article by Pfister M, Ratti F (…) Clavien PA et 10 al. in Ann Surg

Copyright © 2025 Wolters Kluwer Health, Inc. All rights reserved.

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Angioembolization use increases but in-hospital mortality remains unchanged

A comprehensive analysis of severe liver injuries revealed a stable in-hospital mortality rate of 18.7% from 2017 to 2022, despite increasing utilization of angioembolization as a treatment strategy. Compared to laparotomy, angioembolization—either alone or combined with other methods—demonstrated improved survival rates. However, observation only led to worsening outcomes over time. Findings indicate the necessity for enhanced integrated management strategies for patients suffering from severe liver injuries, particularly under challenging conditions.

Journal Article by Schaid TR, Moore EE (…) Sauaia A et 4 al. in BMC Surg

Copyright © 2025. Published by Elsevier Inc.

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New Index Predicts Liver Failure Risk After Hepatectomy

A new preoperative assessment index integrating liver-to-spleen signal intensity ratio of the remnant liver and future liver volume effectively predicts post-hepatectomy liver failure (PHLF). In a study of 333 patients, those with a volume-adjusted ratio below 0.147 were significantly linked to PHLF, with a particularly high risk among patients who had portal vein embolization. The odds ratio for the volume-adjusted signal intensity ratio reached 21.04 in this subgroup, highlighting its predictive potential.

Journal Article by Kudo M, Gotohda N (…) Kobayashi T et 2 al. in Langenbecks Arch Surg

© 2025. The Author(s).

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Robot-assisted esophagectomy enhances surgical precision and outcomes

A recent study highlights the advantages of robot-assisted minimally invasive esophagectomy (RAMIE) over traditional methods. RAMIE reduces complication rates, particularly pulmonary issues, and facilitates faster patient recovery while achieving comparable oncological outcomes. Despite higher initial costs, RAMIE offers financial viability due to its potential to lower complications. The successful implementation of RAMIE relies on effective collaboration and training to navigate its learning curve, alongside advancements in robotic technology expected to broaden patient access and improve surgical results.

Review by Kooij CD, Goense L (…) Ruurda JP et 2 al. in Dig Surg

The Author(s). Published by S. Karger AG, Basel.

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New simulator enhances laparoscopic right hemicolectomy training

A groundbreaking training simulator, COLOMASTER, has been developed for laparoscopic right hemicolectomy. This innovative device eschews animal tissue, utilizing dry polyester fibers and hydrogel to emulate human anatomy and facilitate realistic surgical techniques. Surgeons can practice complete mesocolic excision, central vascular ligation, and intracorporeal anastomosis, critical skills for improving patient outcomes. With its focus on accuracy and efficiency, COLOMASTER aims to enhance off-the-job surgical training, marking a significant advancement in surgical education.

Journal Article by Hasegawa H, Teramura K, Park Y and Ito M in Tech Coloproctol

© 2025. The Author(s).

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Machine learning predicts perineural invasion in cholangiocarcinoma patients

A novel machine learning model effectively predicts perineural invasion (PNI) in intrahepatic cholangiocarcinoma (ICC) patients preoperatively, offering new insights for clinical decision-making. The XGBoost algorithm demonstrated superior predictive performance, highlighting tumor size, number, and lymph node metastasis as key factors. Significant differences were observed in postoperative outcomes, with better progression-free survival and overall survival in patients without PNI. These findings can enhance personalized treatment strategies for ICC, addressing a critical gap in predictive capabilities.

Journal Article by Tan G, Wang WQ (…) Huang ZY et 4 al. in Eur J Surg Oncol

Copyright © 2025 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

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New robotic system enhances independence in endoscopic surgery

An innovative endoscopic assistive robot utilizing motion capture control allows surgeons to operate the endoscope with one hand, improving independence during procedures. The design addresses traditional friction wheel issues with an omnidirectional wheel, achieving a maximum delivery error of just 3.99% and enhancing rotational precision by 45.77%. Positive feedback emerged from both simulated and animal trials, laying groundwork for improved diagnostic and therapeutic applications in gastric disease management.

Journal Article by Yu X, Chen Y (…) Ou L et 5 al. in Int J Med Robot

© 2025 John Wiley & Sons Ltd.

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New model predicts traumatic hemorrhagic shock with high accuracy

A novel predictive model, MS-TimeXer-MoE, demonstrates significant effectiveness in forecasting traumatic hemorrhagic shock among patients. Utilizing data from 4,870 trauma cases, it successfully predicts shock occurrence with an AUC of 0.8995 and a recall rate of 0.8607. This model integrates vital signs and demographic factors, achieving greater precision compared to traditional methods. Clinicians may leverage this innovative approach to enhance patient assessment and timely intervention in emergency settings.

Journal Article by Wang W, Chen B, Wang Q and Rong J in Eur J Trauma Emerg Surg

© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

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Machine learning effectively distinguishes between types of appendicitis

A multicenter study demonstrated the efficacy of machine-learning diagnostic models in differentiating uncomplicated from complicated acute appendicitis (AA). Among three developed models, the clinical-radiomics-fused model employing a random forest algorithm achieved the best area under the curve (AUC) of 0.84 in the testing cohort. This research highlights the potential of non-invasive decision-making methods, with all models showing excellent performance overall. An accessible online tool for clinicians was also created based on model outcomes.

Journal Article by Li L, Sun Y (…) Zhang K et 10 al. in Gastroenterol Rep (Oxf)

© The Author(s) 2025. Published by Oxford University Press and Sixth Affiliated Hospital of Sun Yat-sen University.

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Advanced Techniques Aim to Improve Laparotomy Wound Healing

Enhanced strategies for laparotomy wound management, including advanced therapies like VAC and bioengineered materials, show promise in reducing complications such as infection and hernia. The integration of gene and molecular therapies accelerates healing by promoting new blood vessel formation and tissue regeneration, while RNA interference technology addresses inflammation effectively. This research underscores the role of modern biotechnologies, including nanomaterials and innovative surgical treatments, in potentially revolutionizing recovery for patients following laparotomy procedures.

Review by Korniichuk V, Brodskaya A (…) Honcharenko P et 2 al. in Georgian Med News

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