Publications by authors named "ZhiYang Xie"

Background: Lower facial asymmetry often results in an esthetically unpleasing appearance. The purpose of this study was to develop a novel method for correcting lower facial asymmetry using mandibular augmentation with sandwich bone grafts from the contralateral mandibular outer cortex (MOC), and to evaluate the efficacy of this method using computer-assisted techniques.

Methods: The medical records of 16 patients with lower facial asymmetry who underwent mandibular augmentation with sandwich bone grafts from the contralateral MOC between January 2016 and December 2019 were retrospectively reviewed.

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Background: Mandible-first surgery (MdFS) has gained attention as an alternative to the traditional maxilla-first surgery (MxFS) in bimaxillary procedures. Given the distinct sequence of operations between these approaches, evaluating the clinical advantages of MdFS compared to MxFS is crucial for optimizing surgical decision-making. This systematic review and meta-analysis examine intraoperative achievability and postoperative stability between these two surgical approaches.

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Article Synopsis
  • Fracture healing involves complex molecular processes, and researchers analyzed miRNA and mRNA transcripts from mouse fractures to better understand these mechanisms.
  • They identified 130 differentially expressed miRNAs and 4,819 differentially expressed genes, focusing on their roles in the extracellular matrix and associated processes during early healing.
  • A regulatory network was constructed to highlight potential therapeutic targets, suggesting that understanding miRNA-mRNA interactions could lead to improved treatments for fracture patients.
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  • The objective of the study was to create and validate AI models using natural language processing to diagnose lumbar disc herniation (LDH) with L5 and S1 radiculopathy, based on electronic health records (EHRs).
  • The research involved analyzing EHRs from patients who underwent specific surgeries between 2013 and 2021, focusing on nurse documentation related to nerve root compression to train machine learning models.
  • Results showed that the long short-term memory model achieved the highest performance metrics in identifying L5 and S1 radiculopathy, suggesting that AI analysis of EHRs could significantly improve diagnostic processes for lumbar diseases.
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Objective: The reported date in the repeat surgical intervention for adolescent lumbar disc herniation (ALDH) after percutaneous endoscopic lumbar discectomy (PELD) was quite scarce. This study aims to introduce cases of repeat surgeries after PELD for ALDH and assess the incidence, chief causes, repeat surgery methods, and surgical outcomes of repeat surgeries after PELD for ALDH.

Methods: A retrospective multicenter observational study was conducted on patients undergoing repeat surgeries after PELD for ALDH at four tertiary referral hospitals from January 2014 through August 2022.

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The adequacy of screw anchorage is a critical factor in achieving successful spinal fusion. This study aimed to use machine learning algorithms to identify critical variables and predict pedicle screw loosening after degenerative lumbar fusion surgery. A total of 552 patients who underwent primary transpedicular lumbar fixation for lumbar degenerative disease were included.

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Background: Forehead augmentation have become popular aesthetic procedures among Asians in recent years. However, the use of polyetheretherketone (PEEK) patient-specific implant (PSI) in the facial contouring surgery for aesthetic considerations is not well documented in the existing studies. The purpose of this study was to develop a novel method for forehead augmentation and assess the clinical outcomes and complications in patients who underwent forehead augmentation with PEEK PSI assisted by endoscopy.

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The presence of water clusters in kerogen nanopores reduces the occurrence and migration of methane (CH) and thus affects shale gas extraction. CO injection, as an effective approach to enhance shale gas recovery, still presents challenges in its ability to mitigate the impact of immobile water clusters within the kerogen. In this work, molecular dynamics simulations were employed to investigate the microscopic transport process of water clusters and CH following CO injection in the gas-water coexisting kerogen nanopores.

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Approximately 80% of individuals encounter lower back pain (LBP), a prevalent clinical issue largely attributed to intervertebral disc degeneration (IDD). Ferroptosis is an iron-dependent lipid peroxidation-driven cell death, and there is growing evidence that ferroptosis plays an important role in various human diseases. However, the underlying mechanism of ferroptosis in IDD remains unclear.

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Study Design: Retrospective study.

Objectives: Our objective is to create comprehensible machine learning (ML) models that can forecast bone cement leakage in percutaneous vertebral augmentation (PVA) for individuals with osteoporotic vertebral compression fracture (OVCF) while also identifying the associated risk factors.

Methods: We incorporated data from patients (n = 425) which underwent PVA.

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Objective: To analyze the current research trends and potential mechanisms related to the role of autophagy in intervertebral disc degeneration (IVDD) and to provide new ideas for future research in this field.

Methods: All articles on IVDD and autophagy were retrieved and extracted from the Web of Science (WoS) core collection database. The results were evaluated and visualized using the bibliometric Web site, CiteSpace, and VOSviewer software, including annual articles published, countries, institutions, authors, journals, research areas, funding agencies, citations, and keywords.

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Pyroptosis, a newly discovered pro-inflammatory programmed necrosis of cells, serves as an initiating and promoting event that leads to intervertebral disc (IVD) degeneration (IDD). Endoplasmic reticulum stress (ERS) and autophagy are vital regulatory mechanisms of cellular homeostasis, which is also closely related to IDD. However, the role and relationship of ERS and autophagy in the pyroptosis of nucleus pulposus cell (NPC) are not well understood.

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Background: Ultrasonic scalpel has been reported to be superior to conventional electrocautery in many studies. However, with respect to transaxillary endoscopic breast augmentation, few studies on the effect of ultrasonic scalpel are available in the literature.

Methods: The medical records of 173 female patients who underwent breast augmentation via endoscopic transaxillary approach from January 2018 to December 2020 were reviewed retrospectively.

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The constant mutation of SARS-CoV-2 has triggered a new round of public health crises and has had a huge impact on existing vaccines and diagnostic tools. It is essential to develop a new flexible method to distinguish mutations to prevent the spread of the virus. In this work, we used the combination of density functional theory (DFT) and non-equilibrium Green's function formulation with decoherence, to theoretically study the effect of viral mutation on charge transport properties of viral nucleic acid molecules.

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Background: Several genioplasty techniques can narrow the width of the chin. Nevertheless, patients with a broad and short chin who received these methods were unsatisfied with the outcomes. The goal of this study was to analyze the clinical outcomes of modified M-shaped genioplasty for broad, flat and short chin deformity.

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Molecular dynamics simulations were performed to study the effect of the periodic oscillating electric field on the interface between water and methane. We propose a new strategy that utilizes oscillating electric fields to reduce the interfacial tension (IFT) between water and methane and increase the solubility of methane in water simultaneously. These are attributed to the hydrogen bond resonance induced by an electric field with a frequency close to the natural frequency of the hydrogen bond.

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In this work, a germanium (Ge) on gallium arsenide (GaAs) photodetector is demonstrated with the optical response from 850 nm to 1600 nm, which has potential for monolithic integration with VCSELs on GaAs platform as transceiver working beyond 900 nm. The device exhibits a responsivity of 0.35A/W, 0.

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Surgical site infection (SSI) is a common and serious complication of transforaminal lumbar interbody fusion (TLIF), and the occurrence of SSI usually leads to prolonged hospitalisation, increased medical costs, poor prognosis, and even death. The objectives of this study were to compare the incidence of SSI in patients with type 2 diabetes, investigate the correlation between perioperative glycemic variability and postoperative SSI, and develop a nomogram model to predict the risk of SSI. This study retrospectively analysed 339 patients with type 2 diabetes who underwent TLIF in the spinal surgery department of the Affiliated Zhongda Hospital of Southeast University from January 2018 to September 2021.

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DNA drug molecules are not only widely used in gene therapy, but also play an important role in controlling the electrical properties of molecular electronics. Covalent binding, groove binding and intercalation are all important forms of drug-DNA interaction. But its applications are limited due to a lack of understanding of the electron transport mechanisms after different drug-DNA interaction modes.

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Objective: The purpose of the present study was to compare the clinical outcomes and complications between the mini-open Wiltse approach with pedicle screw fixation (MWPSF) and percutaneous pedicle screw fixation (PPSF) in treating neurologically intact thoracolumbar fractures.

Methods: We comprehensively searched PubMed, Web of Science, Embase, and the Cochrane Library and performed a systematic review and meta-analysis of all randomized controlled trials and retrospective comparative studies assessing these important indexes of the 2 methods using Review Manager, version 5.4.

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Article Synopsis
  • The study is a retrospective analysis involving 1159 patients who underwent percutaneous endoscopic lumbar discectomy (PELD) for lumbar disc herniation (LDH) between July 2014 and December 2019, aiming to predict recurrent lumbar disc herniation (rLDH) using machine learning models.
  • Significant factors influencing rLDH included body mass index (BMI), facet orientation, herniation type, Modic changes, and disc calcification, with various machine learning models, such as Extreme Gradient Boost (XGBoost) and Random Forest, showing strong predictive performance.
  • The findings suggest that using these machine learning models could improve decision-making and potentially reduce rLDH rates after PELD
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Article Synopsis
  • - The study aimed to create machine learning algorithms using natural language processing (NLP) to automatically distinguish between lumbar disc herniation (LDH) and lumbar spinal stenosis (LSS) from admission notes that describe symptoms.
  • - Data from 1921 patients was analyzed using two models: Long Short-Term Memory (LSTM) and extreme gradient boosting (XGBoost), with performance measured using various metrics.
  • - Results showed that the LSTM model outperformed the XGBoost model in accuracy and recall, indicating that NLP-based algorithms could effectively aid in diagnosing spine diseases, particularly in differentiating between LDH and LSS.
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Purpose: Cell senescence plays a vital role in intervertebral disc degeneration. The regulatory mechanism of the cellular senescence of nucleus pulposus cells has not been fully elucidated. A recent study identified GATA4 as an emerging regulator of IMR90 cellular senescence.

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