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Intraoperative ultrasound (ioUS) provides real-time imaging during neurosurgical procedures, with advantages such as portability and cost-effectiveness. Accurate tumor segmentation has the potential to substantially enhance the interpretability of ioUS images; however, its implementation is limited by persistent challenges, including noise, artifacts, and anatomical variability. This study aims to develop a convolutional neural network (CNN) model for glioma segmentation in ioUS images via a multicenter dataset.

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Background: Accurate prognostic models are essential for optimizing treatment strategies for glioblastoma, the most aggressive primary brain tumor. While other neuroimaging modalities have demonstrated utility in predicting overall survival (OS), intraoperative ultrasound (iUS) remains underexplored for this purpose. This study aimed to evaluate the prognostic potential of iUS radiomics in glioblastoma patients in a multi-institutional cohort.

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Background: Current management of patients with borderline resectable pancreatic adenocarcinoma (BR-PDAC) depends on the degree of involvement of the major arterial and venous structures. The aim of this study was to evaluate 3D segmentation and printing to predict tumor size and vascular involvement of BR-PDAC to improve pre-operative planning of vascular resection and better select patients for neoadjuvant therapy.

Methods: We retrospectively evaluated 16 patients with BR-PDAC near vascular structures who underwent pancreatoduodenectomy (PD) with or without vascular resection between 2015 and 2021.

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The importance of preclinical models for cholangiocarcinoma drug discovery.

Expert Opin Drug Discov

January 2025

Center of Physiology, Pathophysiology and Biophysics, Institute of Physiology and Pathophysiology, Paracelsus Medical University, Salzburg, Austria.

Introduction: Biliary tract cancer (BTC) comprises a clinically diverse and genetically heterogeneous group of tumors along the intra- and extrahepatic biliary system (intrahepatic and extrahepatic cholangiocarcinoma) and gallbladder cancer with the common feature of a poor prognosis, despite increasing molecular knowledge of associated genetic aberrations and possible targeted therapies. Therefore, the search for even more precise and individualized therapies is ongoing and preclinical tumor models are central to the development of such new approaches.

Areas Covered: The models described in the current review include simple and advanced in vitro and in vivo models, including cell lines, 2D monolayer, spheroid and organoid cultures, 3D bioprinting, patient-derived xenografts, and more recently, machine-perfusion platform-based models of resected liver specimens.

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Trojan Horse-Like Biohybrid Nanozyme for Ameliorating Liver Ischemia-Reperfusion Injury.

Adv Healthc Mater

January 2025

Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China.

Liver ischemia and reperfusion (I/R) injury is a reactive oxygen species (ROS)-related disease that occurs during liver transplantation and resection and hinders postoperative liver function recovery. Current approaches to alleviate liver I/R injury have limited effectiveness due to the short circulation time, poor solubility, and severe side effects of conventional antioxidants and anti-inflammatory drugs. Herein, a universal strategy is proposed to fabricate a Trojan horse-like biohybrid nanozyme (THBN) with hepatic-targeting capabilities.

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