Publications by authors named "Zhi-Yang Xie"

Article Synopsis
  • 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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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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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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Acid-induced cellular senescence is a critical underlying mechanism of intervertebral disc (IVD) degeneration (IDD). Acid stimulation activates a variety of biological changes including autophagy, endoplasmic reticulum stress, and related unfolded protein response (UPR), which are important regulators of cellular senescence. However, the precise mechanism of acid-mediated UPR and autophagy in nucleus pulposus cell (NPC) senescence has not been fully elucidated.

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Study Design: Narrative review.

Objectives: This review aims to present current applications of machine learning (ML) in spine domain to clinicians.

Methods: We conducted a comprehensive PubMed search of peer-reviewed articles that were published between 2006 and 2020 using terms (spine, spinal, lumbar, cervical, thoracic, machine learning) to examine ML in spine.

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Study Design: Case-control study.

Objectives: To compare the outcomes of 2 different criteria (time driven and output driven) for wound drain removal and identify which one is better.

Methods: 743 patients who underwent posterior lumbar fusion with instrumentation involving 1 or 2 motion segments were enrolled in this study.

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Aims: Inflammatory response plays a pivotal role in the pathophysiological process of intervertebral disc degeneration (IDD). A20 (also known as tumour necrosis factor alpha-induced protein 3 (TNFAIP3)) is a ubiquitin-editing enzyme that restricts nuclear factor-kappa B (NF-κB) signalling. A20 prevents the occurrence of multiple inflammatory diseases.

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Purpose: In the degenerated intervertebral disc (IVD), matrix acidity challenges transplanted bone marrow mesenchymal stem cells (BMSCs). The Ca2+-permeable acid-sensing ion channel 1a (ASIC1a) is responsible for acidosis-mediated tissue injury. The aim of our study was to confirm whether ASIC1a activation induces BMSC apoptosis under conditions that mimic the acidic microenvironment of the degenerated IVD.

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Purpose: To elucidate the natural history of intervertebral disk (IVD) and characterize its embryonic beginnings and age-related degeneration.

Methods: Coronal sections of embryonic (E13.5-neonatal) and postnatal (4-60-week-old) Sprague-Dawley rat IVD were stained by a series of histological stainings (hematoxylin and eosin, Alcian blue, Picrosirius red, Masson, Periodic acid-Schiff).

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Purpose: We conducted a systematic review and meta-analysis to compare the clinical outcomes of percutaneous endoscopic lumbar discectomy (PELD) and microendoscopic discectomy (MED) for the treatment of lumbar disc herniation (LDH), and to clarify whether PELD is more superior to MED.

Methods: We performed a comprehensive search in the databases of MEDLINE, EMBASE, PubMed, Web of Science, Cochrane database, CNKI, and Wanfang Data to acquire all relevant studies up to July 2018. The searched literatures were then screened according to the strict inclusion and exclusion criteria.

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Cellular loss induced by tumor necrosis factor alpha (TNF-α) contributes to the pathogenesis of intervertebral disc (IVD) degeneration. Cellular stress induced by TNF-α activates several processes to restore cell homeostasis. These processes include autophagy, endoplasmic reticulum stress, and related unfolded protein response (UPR).

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Objectives: Tumour necrosis factor alpha (TNF-α) expressed by nucleus pulposus cells (NPCs) plays a critical role in intervertebral disc (IVD) degeneration. A key unfolded protein response (UPR) component, X-box binding protein 1 (XBP1) and nuclear factor-kappa B (NF-κB) are essential for cell survival and proliferation. The aim of our study was to elucidate the roles of XBP1 and NF-κB in IVD degeneration (IDD).

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Acid-sensing ion channel 1a (ASIC1a) participates in human intervertebral disc degeneration (IVDD) and regulates the destiny of nucleus pulposus cells (NPCs) in acid stimulus. However, the mechanism of ASIC1a activation and its downstream pathway remain unclear. Endoplasmic reticulum (ER) stress also participates in the acid-induced apoptosis of NPCs.

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Intervertebral disc (IVD) degeneration is closely related to inflammatory cytokines, such as tumor necrosis factor alpha (TNF-α). The endoplasmic reticulum (ER) serves several important cell functions, which are essential for normal cell metabolism and survival. This study aims to clarify the role of ER stress and unfolded protein response (UPR) in TNF-α-induced biological changes in rat nucleus pulposus cells (NPCs) and IVD degeneration.

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Notochord nucleus pulposus cells are characteristic of containing abundant and giant cytoplasmic vacuoles. This review explores the embryonic formation, biological function, and postnatal exhaustion of notochord vacuoles, aiming to characterize the signal network transforming the vacuolated nucleus pulposus cells into the vacuole-less chondrocytic cells. Embryonically, the cytoplasmic vacuoles within vertebrate notochord originate from an evolutionarily conserved vacuolation process during neurulation, which may continue to provide mechanical and signal support in constructing a mammalian intervertebral disc.

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The microenvironment of degenerative intervertebral disk (IVD) is characteristic of a high concentration of lactic acid and low pH levels, whereas the underlying mechanism has not been clearly defined. Endoplasmic reticulum (ER) is the hub of interactions between environmental signals and cellular biological functions, the malfunction of which is closely involved in the pathogenesis of multiple disorders, including IVD degeneration (IVDD). This research mainly aims at exploring what role ER stress plays in the natural process of IVDD and pH-induced apoptosis of rat nucleus pulposus (NP) cells (NPCs).

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The dorsal horn (DH) of the spinal cord is the integrative center that processes and transmits pain sensation. Abnormal changes in ion channel expression can enhance the excitability of pain-related DH neurons. Sodium-activated potassium (K) channels are highly expressed particularly in the central nervous system; however, information about whether rat DH neurons express the SLICK channel protein is lacking, and the direct effects on SLICK in response to inflammation and the potential signaling pathway mediating such effects are yet to be elucidated.

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Objectives: Activation of acid-sensing ion channel 1a (ASIC1a) is responsible for tissue injury caused by acidosis in nervous systems. But its physiological and pathological roles in nucleus pulposus cells (NPCs) are unclear. The aim of this study is to investigate whether ASIC1a regulates the survival of NPCs in the acidic environment of degenerated discs.

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