En-bloc resection for spinal giant cell tumors: superior outcomes-a comprehensive meta-analysis and trial sequential analysis.

Spinal giant cell tumors (GCTs) management primarily involves surgical resection; however, the optimal surgical approach continues to be a subject of debate. This study aims to comprehensively compare the efficacy of en-bloc resection with that of control resection techniques, specifically intralesional curettage and piecemeal resection, in the treatment of spinal GCTs. A comprehensive search of English databases, including the Cochrane Library, Embase, PubMed, Scopus, and Web of Science, as well as Chinese databases such as the National Knowledge Infrastructure (CNKI), Chongqing VIP (VIP), and Wan Fang, was conducted up to January 2024.

The effect of depth data and upper limb impairment on lightweight monocular RGB human pose estimation models.

Background And Objectives: Markerless vision-based human pose estimation (HPE) is a promising avenue towards scalable data collection in rehabilitation. Deploying this technology will require self-contained systems able to process data efficiently and accurately. The aims of this work are to (1) Determine how depth data affects lightweight monocular red-green-blue (RGB) HPE performance (accuracy and speed), to inform sensor selection and (2) Validate HPE models using data from individuals with physical impairments.

Clinical and radiographic comparison of robot-assisted single-position versus traditional dual-position lateral lumbar interbody fusion.

Objective: The potential of robot-assisted (RA) single-position (SP) lateral lumbar interbody fusion (LLIF) warrants further investigation. This study aimed to assess the efficacy of RA-SP-LLIF in improving both clinical and radiographic outcomes in patients undergoing lumbar spinal fusion surgery.

Methods: A total of 59 patients underwent either RA-SP-LLIF (n = 31 cases) or traditional LLIF (n = 28 cases).

Unveiling the ultimate advantage: a meta-analysis of 3D visualization and problem-based learning in orthopedic education.

Background: Three-dimensional (3D) visualization has become increasingly prevalent in orthopedic education to tackle the distinct anatomical challenges of the field. However, there is a conspicuous lack of systematic reviews that thoroughly evaluate both the advantages and drawbacks of integrating 3D with problem-based learning (3D + PBL).

Methods: A rigorous search of English databases (Cochrane Library, Embase, PubMed, Scopus, and Web of Science) and Chinese databases (National Knowledge Infrastructure: CNKI, Chongqing VIP: VIP, and Wan Fang) were performed up to July 2024 to identify relevant studies.

Strain redistribution for achieving wide-range and high-sensitivity monitoring of natural rubber-based sensors.

Strain sensors with high sensitivity and wide detection range are essential for meeting diverse applications, such as precisely monitoring the movement of patients with bone defects during rehabilitation. However, extending the sensing range without compromising sensitivity, particularly for small strains, remains a significant challenge for flexible sensors. Here, a strain redistribution strategy was employed to achieve wide-range and high-sensitivity monitoring of natural rubber (NR)-based sensors.

Biomaterials-based phototherapy for bacterial infections.

Bacterial infections and antibiotic resistance are global health problems, and current treatments for bacterial infections still rely on the use of antibiotics. Phototherapy based on the use of a photosensitizer has high efficiency, a broad spectrum, strong selectivity, does not easily induce drug resistance, and is expected to become an effective strategy for the treatment of bacterial infections, particularly drug-resistant infections. This article reviews antimicrobial strategies of phototherapy based on photosensitizers, including photodynamic therapy (PDT), photothermal therapy (PTT), and their combination.

METTL3 alters AK3 RNA expression in an m6A-dependent manner to affect the proliferation and metastasis of hepatocellular carcinoma.

In recent years, the significance of N6-methyladenosine (m6A) modification in the process of tumorigenesis has garnered substantial attention from researchers in the field. Among the myriad of factors involved, METTL3, which functions as an m6A methyltransferase, has emerged as a critical player in this context. This enzyme has been shown to participate actively in the regulation of RNA stability and expression across a diverse array of tumors.

Ligament reconstruction for distal radioulnar joint instability with the biomechanical analysis: A case report.

Rationale: The aim of the study is to evaluate the clinical effects and feasibility on chronic distal radioulnar unstable joint (DRUJ) under wrist arthroscope triangular fibrocartilage complex (TFCC) repair and reconstruction. The biomechanical characteristics of the recovery process after treatment were analyzed using finite element modeling.

Patient Concerns: A patient with chronic DRUJ instability was treated with reconstruction of the distal radioulnar ligament using the Adams Berger method.

Establishment of a Magnetically Controlled Scalable Nerve Injury Model.

Animal models of peripheral nerve injury (PNI) serve as the fundamental basis for the investigations of nerve injury, regeneration, and neuropathic pain. The injury properties of such models, including the intensity and duration, significantly influence the subsequent pathological changes, pain development, and therapeutic efficacy. However, precise control over the intensity and duration of nerve injury remains challenging within existing animal models, thereby impeding accurate and comparative assessments of relevant cases.

Design of a Sleep Modulation System with FPGA-Accelerated Deep Learning for Closed-loop Stage-Specific In-Phase Auditory Stimulation.

Closed-loop sleep modulation is an emerging research paradigm to treat sleep disorders and enhance sleep benefits. However, two major barriers hinder the widespread application of this research paradigm. First, subjects often need to be wire-connected to rack-mount instrumentation for data acquisition, which negatively affects sleep quality.

Fascicle-Selective Ultrasound-Powered Bidirectional Wireless Peripheral Nerve Interface IC.

This paper presents an innovative, minimally invasive, battery-free, wireless, peripheral nervous system (PNS) neural interface, which seamlessly integrates a millimeter-scale, fascicle-selective integrated circuit (IC) with extraneural recording and stimulating channels. The system also incorporates a wearable interrogator equipped with integrated machine-learning capabilities. This PNS interface is specifically tailored for adaptive neuromodulation therapy, targeting individuals with paralysis, amputation, or chronic medical conditions.

Advances in the regulation of adipogenesis and lipid metabolism by exosomal ncRNAs and their role in related metabolic diseases.

Exosomes are membrane-bound extracellular vesicles released following the fusion of multivesicular bodies (MVBs) with the cell membrane. Exosomes transport diverse molecules, including proteins, lipids, DNA and RNA, and regulate distant intercellular communication. Noncoding RNA (ncRNAs) carried by exosomes regulate cell-cell communication in tissues, including adipose tissue.

Efficacy and Safety of Conservative Treatment Compared With Surgical Treatment for Thoracolumbar Fracture With Score 4 Thoracolumbar Injury Classification and Severity (TLICS): A Systematic Review and Meta-analysis.

Study Design: This was a systematic review and meta-analysis.

Objective: The clinical outcomes, radiologic outcome, and complications were compared between surgical treatment and conservative treatment of thoracolumbar fractures with a Thoracolumbar Injury Classification and Severity (TLICS) score of 4.

Summary Of Background Data: The thoracolumbar fracture is the main reason leading to the spinal cord injury.

Flexible Gel-Free Multi-Modal Wireless Sensors With Edge Deep Learning for Detecting and Alerting Freezing of Gait Symptom.

Freezing of gait (FoG) is a debilitating symptom of Parkinson's disease (PD). This work develops flexible wearable sensors that can detect FoG and alert patients and companions to help prevent falls. FoG is detected on the sensors using a deep learning (DL) model with multi-modal sensory inputs collected from distributed wireless sensors.

Controlling Isomerization of Photoswitches to Modulate 2D Logic-in-Memory Devices by Organic-Inorganic Interfacial Strategy.

Logic-in-memory devices are a promising and powerful approach to realize data processing and storage driven by electrical bias. Here, an innovative strategy is reported to achieve the multistage photomodulation of 2D logic-in-memory devices, which is realized by controlling the photoisomerization of donor-acceptor Stenhouse adducts (DASAs) on the surface of graphene. Alkyl chains with various carbon spacer lengths (n = 1, 5, 11, and 17) are introduced onto DASAs to optimize the organic-inorganic interfaces: 1) Prolonging the carbon spacers weakens the intermolecular aggregation and promotes isomerization in the solid state.

Prognostic Value of the Neutrophil-to-Lymphocyte Ratio in Patients Treated with Definitive Chemoradiotherapy for Locally Advanced Oesophageal Squamous Cell Carcinoma.

Background: The neutrophil-to-lymphocyte ratio (NLR) has been shown to have prognostic value in several common cancers. This study aimed to investigate the prognostic value of NLR in patients with advanced oesophageal squamous cell carcinoma (ESCC) after definitive chemoradiotherapy (dCRT).

Methods: A retrospective analysis was performed on 158 patients with advanced ESCC who received dCRT from January 2012 to December 2018.

Efficacy and safety of anterior transposition of the ulnar nerve for distal humerus fractures: A systematic review and meta-analysis.

Background: This systematic review and meta-analysis was performed to summarize available evidence of anterior transposition of the ulnar nerve for patients with distal humerus fractures.

Materials And Methods: The databases were searched from PubMed, Cochrane, Embase, Scopus, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Chongqing VIP Database (VIP), and Wan Fang Database up to June 2022. The clinical outcome included operation time, fracture healing time, hospital stays, elbow joint function, and ulnar neuritis rate.

Efficacy and Safety of Lumbar Dynamic Stabilization Device Coflex for Lumbar Spinal Stenosis: A Systematic Review and Meta-analysis.

Background: This systematic review and meta-analysis were performed to investigate evidence for the comparison of lumbar dynamic stabilization device Coflex (Surgalign, Deerfield, IL) with posterior lumbar fusion for lumbar spinal stenosis).

Methods: Relational databases were searched to October 2022. The main outcome measures included operation time, Japanese Orthopedic Association score (JOA), visual analog scale (VAS), Oswestry disability index (ODI), total complications, and adjacent segment degeneration (ASD).

A 21.3%-Efficiency Clipped-Sinusoid UWB Impulse Radio Transmitter With Simultaneous Inductive Powering and Data Receiving.

An ultra-wide-band impulse-radio (UWB-IR) transmitter (TX) for low-energy biomedical microsystems is presented. High power efficiency is achieved by modulating an LC tank that always resonates in the steady state during transmission. A new clipped-sinusoid scheme is proposed for on-off keying (OOK)-modulation, which is implemented by a voltage clipper circuit with on-chip biasing generation.

Efficacy and safety of electroacupuncture for carpal tunnel syndrome (CTS): A systematic review and meta-analysis of randomized controlled trials.

Aim: We carried out a systematic review and meta-analysis to evaluate the safety and efficacy of electroacupuncture for patients with carpal tunnel syndrome.

Methods: We searched PubMed, Embase, Cochrane Library, Scopus, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Chongqing VIP Database (VIP), and Wan Fang Database up to May 2022 for relevant studies. Relevant studies were identified by using specific eligibility criteria and data were extracted.