Development and validation of a nomogram for predicting 30-day outcomes in patients with unruptured vertebrobasilar dissecting aneurysms undergoing endovascular treatment: a multicenter cohort study.

Background: Endovascular treatment (EVT) of vertebrobasilar dissecting aneurysms (VBDAs) is associated with high morbidity and mortality, significantly influencing patient prognosis. This study aimed to develop and validate a nomogram for predicting 30-day outcomes in patients with unruptured VBDAs undergoing EVT.

Methods: This retrospective study included 606 patients with unruptured VBDAs who underwent EVT at 10 institutions between January 2015 and April 2025, with 491 in the training cohort and 115 in the validation cohort.

An easily machine learning-based tool for preliminary risk assessment of microvascular invasion in hepatocellular carcinoma.

Background: Microvascular invasion (MVI) is a crucial risk factor for postoperative recurrence in patients with hepatocellular carcinoma (HCC). Accurate preoperative assessment of MVI and appropriate resection margins (RM) could reduce recurrence rates of HCC.

Methods: A total of 1651 eligible patients who underwent liver resection between January 1, 2018 and June 30, 2023 were retrospectively collected.

Elucidating the dynamic tumor microenvironment through deep transcriptomic analysis and therapeutic implication of MRE11 expression patterns in hepatocellular carcinoma.

Aim: This study aims to explore the dynamic tumor microenvironment of hepatocellular carcinoma (HCC) through deep transcriptomic analysis and to identify key regulatory genes, among which MRE11 was further validated for its immunomodulatory and prognostic significance.

Methods: We performed Summary-data-based Mendelian Randomization (SMR) analysis to identify genes causally associated with HCC and intersected these with DNA damage repair (DDR) genes, leading to the identification of MRE11. A comprehensive evaluation of MRE11 expression in HCC was conducted using transcriptomic data analysis.

Rapid and Selective Detection of Trace Hydrogen by Mesoporous SnO Anchored with Au-Pd Dual-Atom Sensitizers.

Due to weak interactions between hydrogen molecules and sensing materials as well as slow H oxidation kinetics, traditional semiconductor metal oxides (SMOs) have limited capability for selective and rapid hydrogen sensing. We propose an innovative strategy to enhance gas-sensing performance by modifying SMOs with atomically dispersed dual noble-metal sensitizers, differing from conventional single-atom or nanoparticle sensitizers. This sensor shows fast response time (1 s), strong resistance to CO, NO, HS, and SO interference, and an ultralow detection limit (70 ppb) toward hydrogen, surpassing single noble-metal modified hydrogen sensors.

Nomogram for predicting delayed intraparenchymal hemorrhage after pipeline embolization device treatment in patients with intracranial aneurysms: a multicenter, retrospective model development and validation study.

Background: Delayed intraparenchymal hemorrhage (DIPH) is a severe complication after pipeline embolization device (PED) deployment for intracranial aneurysms (IAs). However, predictive models are lacking. This study aims to develop and validate a new nomogram to predict DIPH risk in IA patients.

Rapid and Sensitive Detection of 2-Ethylhexanol Vapor Utilizing Mesoporous Neodymium-Doped Indium Oxide for Real-Time Monitoring of Overheated Electrical Cables.

Rapid and sensitive detection of 2-ethylhexanol vapor, a critical indicator of overheating in electrical cables, is essential for the early warning of potential electrical fires. However, traditional chemiresistive gas sensors are inadequate for real-time detection of 2-ethylhexanol owing to its chemical stability. Herein, a chemiresistive gas sensor based on mesoporous Nd-doped InO is designed for rapid detection of ppb-level 2-ethylhexanol vapor.

Deep learning based on intratumoral heterogeneity predicts histopathologic grade of hepatocellular carcinoma.

Objectives: The potential of medical imaging to non-invasively assess intratumoral heterogeneity (ITH) is increasingly being recognized. This study aimed to investigate the value of the ITH-based deep learning model for preoperative prediction of histopathologic grade in hepatocellular carcinoma (HCC).

Materials And Methods: A total of 858 patients from primary cohort and two external cohorts were included.

Exploring oral microbiome in oral squamous cell carcinoma across environment-associated sample types.

The relationship between the oral microbiome and oral squamous cell carcinoma (OSCC) has been extensively investigated. Nonetheless, most previous studies were single-center, resulting in the absence of systematic evaluations. To address this gap, we performed a comprehensive meta-analysis on 1,255 samples from OSCC-related 16S rRNA gene data sets, representing a diverse range of OSCC phenotypes.

Thermal Gradient-Driven Heterogeneous Actuation of Liquid Crystal Elastomers for a Crawling Robot.

Emerging soft robots based on liquid crystal elastomers (LCEs) exhibit remarkable capabilities for large reversible shape morphing, enabling them to adapt to complex environments and perform diverse tasks such as locomotion and camouflage. Despite extensive studies, current methods for locally controlled actuation of LCE-based soft robots often involve intricate structural design, complex programming of LCEs, incorporation of multiple materials, or complex actuation methods. Here, we present a simple and efficient approach to achieve multiple deformation modes within a simply programmed LCE structure by harnessing Joule heating-induced thermal gradients across the LCE volume.

A multi-responsive 3D deformable soft actuator with tunable structural color enabled by a graphene/cholesteric liquid crystal elastomer composite.

Intelligent soft robots that integrate both structural color and controllable actuation ability have attracted substantial attention for constructing biomimetic systems, biomedical devices, and soft robotics. However, simultaneously endowing single-layer cholesteric liquid crystal elastomer (CLCE) soft actuators with reversible 3D deformability and vivid structural color changes is still challenging. Herein, a multi-responsive (force, heat and light) single-layer 3D deformable soft actuator with vivid structural color-changing ability is realized through the reduced graphene oxide (RGO) deposition-induced Janus structure of the CLCE using a precisely-controlled evaporation method.

Efficacy, safety, and biomarker analysis of TACE combined with lenvatinib plus sintilimab in unresectable hepatocellular carcinoma: a real-world study.

Background: The integration of transarterial chemoembolization (TACE) with systemic therapy has demonstrated improved survival outcomes in patients with unresectable hepatocellular carcinoma (HCC). However, there is limited evidence evaluating the combination of TACE with the systemic regimen of anti-PD-1/L1 inhibitor plus lenvatinib. This study aims to assess the efficacy and safety of TACE combined with lenvatinib and sintilimab in unresectable HCC patients.

Comparative transcriptome analysis of cucumber fruit tissues reveals novel regulatory genes in ascorbic acid biosynthesis.

Ascorbic acid (AsA) is one of the most abundant natural antioxidants, and it is an important indicator of the nutritional value of cucumber fruit. The aim of this study was to elucidate the regulatory mechanism affecting AsA metabolism in cucumber fruit. In this study, the AsA content in the fruit of two cucumber cultivars (H28 and H105) was significantly higher in the exocarp and endocarp than in the mesocarp.

Reconfigurable Visible Light-Driven Liquid Crystalline Network Showing Off-Equilibrium Motions Enabled by Mesogen-Grafted Donor-Acceptor Stenhouse Adducts.

Liquid crystalline network (LCN)-based soft actuators have opened up great opportunities to fabricate emerging and intriguing smart materials, serving as potential building blocks for intelligent soft robotics. Endowing LCN actuators with complex responsive behaviors to enhance their intelligence is both challenging and highly demanded. Herein, Donor-Acceptor Stenhouse Adducts (DASAs) molecules with rod-like mesogen and the polymerizable group are judiciously designed and synthesized, which is strong-colored at linear form and de-coloration at cyclic form after visible light.

FLUID: a fluorescence-friendly lipid-compatible ultrafast clearing method.

Many clearing methods achieve high transparency by removing lipid components from tissues, which damages microstructure and limits their application in lipid research. As for methods which preserve lipid, it is difficult to balance transparency, fluorescence preservation and clearing speed. In this study, we propose a rapid water-based clearing method that is fluorescence-friendly and preserves lipid components.

Single-Atom Au-Functionalized Mesoporous SnO Nanospheres for Ultrasensitive Detection of Biomarker at Low Temperatures.

Semiconductor metal oxide gas sensors have been proven to be capable of detecting , one kind of foodborne bacteria, through monitoring the characteristic gaseous metabolic product 3-hydroxy-2-butanone. However, the detection still faces challenges because the sensors need to work at high temperatures and output limited gas sensing performance. The present study focuses on the design of single-atom Au-functionalized mesoporous SnO nanospheres for the sensitive detection of ppb-level 3-hydroxy-2-butanone at low temperatures (50 °C).

A paradigm shift in diagnosis and treatment innovation for mucinous cystic neoplasms of the liver.

This study comprehensively explores the clinical characteristics, diagnostic approaches, and treatment methods for liver mucinous cystic neoplasms (MCN). A retrospective analysis was conducted on seven individuals diagnosed with MCN, admitted to the Fifth Medical Center of the PLA General Hospital between October 2016 and May 2023. Preoperative AFP was negative, while CA19-9 was elevated in two cases.

Perioperative impact of liver cirrhosis on robotic liver resection for hepatocellular carcinoma: a retrospective cohort study.

Background: The safety and efficacy of robotic liver resection (RLR) for patients with hepatocellular carcinoma (HCC) have been reported worldwide. However, the exact role of RLR in HCC patients with liver cirrhosis is not sufficiently determined.

Methods: We conducted a retrospective study on consecutive patients with cirrhosis or non-cirrhosis who received RLR for HCC from 2018 to 2023.

Synergistic sensitization effects of single-atom gold and cerium dopants on mesoporous SnO nanospheres for enhanced volatile sulfur compound sensing.

The real-time monitoring of volatile sulfur compounds is indispensable; however, it continues to pose a significant challenge due to issues such as limited performance towards parts-per-billion (ppb)-level gas. Herein, a concept of synergistic sensitization effects involving single-atom gold (Au) and cerium (Ce) dopants is proposed to boost the sensing performance of allyl mercaptan, a common volatile sulfur compound. As a proof-of-concept, a chemiresistive gas sensor based on mesoporous SnO nanospheres with single-atom Au decoration and Ce dopant (denoted Au/Ce-SnO) is successfully synthesized.

Efficacy and safety of robotic versus laparoscopic liver resection for hepatocellular carcinoma: a propensity score-matched retrospective cohort study.

Background: Evidence concerning long-term outcome of robotic liver resection (RLR) and laparoscopic liver resection (LLR) for hepatocellular carcinoma (HCC) patients is scarce.

Methods: This study enrolled all patients who underwent RLR and LLR for resectable HCC between July 2016 and July 2021. Propensity score matching (PSM) was employed to create a 1:3 match between the RLR and LLR groups.

Wireless Gas Sensor Based on the Mesoporous ZnO-SnO Heterostructure Enables Ultrasensitive and Rapid Detection of 3-Methylbutyraldehyde.

Achieving ultrasensitive and rapid detection of 3-methylbutyraldehyde is crucial for monitoring chemical intermediate leakage in pharmaceutical and chemical industries as well as diagnosing ventilator-associated pneumonia by monitoring exhaled gas. However, developing a sensitive and rapid method for detecting 3-methylbutyraldehyde poses challenges. Herein, a wireless chemiresistive gas sensor based on a mesoporous ZnO-SnO heterostructure is fabricated to enable the ultrasensitive and rapid detection of 3-methylbutyraldehyde for the first time.

International consensus guidelines on robotic pancreatic surgery in 2023.

Background: With the rapid development of robotic surgery, especially for the abdominal surgery, robotic pancreatic surgery (RPS) has been applied increasingly around the world. However, evidence-based guidelines regarding its application, safety, and efficacy are still lacking. To harvest robust evidence and comprehensive clinical practice, this study aims to develop international guidelines on the use of RPS.

3D-printed antibiotic-loaded bone cement spacers as adjunctive therapy for hip periprosthetic infection after arthroplasty: A clinical assessment.

Objective: To explore the effect of three-dimensional (3D) printing to create personalized antibiotic-loaded bone cement (ALBC) spacers to assist in treatment of periprosthetic infection after total hip arthroplasty (THA).

Methods: The data of 40 patients with postoperative infection after THA were analysed retrospectively. The patients were divided into two groups: the 3D-printing group (age 47-78 years, n = 20) and the conventional group (age 57-78 years, n = 20).

Automated diagnosis of pancreatic mucinous and serous cystic neoplasms with modality-fusion deep neural network using multi-modality MRIs.

Background: Pancreatic cystic neoplasms are increasingly diagnosed with the development of medical imaging technology and people's self-care awareness. However, two of their sub-types, serous cystic neoplasms (SCN) and mucinous cystic neoplasms (MCN), are often misclassified from each other. Because SCN is primarily benign and MCN has a high rate of malignant transformation.

Polarity Conversion of the AgS/AgInS Heterojunction by Radical-Induced Positive Feedback Polydopamine Adhesion for Signal-Switchable Photoelectrochemical Biosensing.

Efficient tuning of the polarity of photoactive nanomaterials is of great importance in improving the performance of photoelectrochemical (PEC) sensing platforms. Herein, polarity of the AgS/AgInS heterojunction is converted by radical-induced positive feedback polydopamine (PDA) adhesion, which is further employed to develop a signal-switchable PEC biosensor. In the nanocomposites, AgS and AgInS achieve electron-hole separation, exhibiting a strong anodic PEC response.