Publications by authors named "Lei Zang"

Introduction: The spinal endoscopic technique has been extensively documented in decompression procedures for treating lumbar degenerative diseases. However, there is limited literature on the spinal endoscopic in lumbar fusion techniques. This study evaluates the outcomes and safety of full-endoscopic posterior lumbar interbody fusion (Endo-PLIF) for the treatment of lumbar degenerative diseases.

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Chronic pain after spine surgery (CPSS) is a complex disorder characterized by multifactorial pathogenesis that occurs in 8%-40% of patients undergoing lumbar spine surgery. We aimed to develop a rat model that mimics clinical CPSS conditions by taking two sequential surgical procedures. Step 1: A plastic rod was inserted into the left L5 intervertebral foramen to produce a steady compression on the dorsal root ganglion (DRG) and the spinal nerve, a common cause of low back pain (LBP).

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Purpose: This retrospective cohort study aimed to compare the clinical outcomes of percutaneous transforaminal endoscopic decompression (PTED) with those of posterior lumbar interbody fusion (PLIF) for the treatment of degenerative lumbar scoliosis (DLS) with lumbar spinal stenosis (LSS).

Methods: In this study, 143 DLS patients who met the inclusion criteria from January 2016 to March 2019 were retrospectively analyzed and divided into the PTED and PLIF groups. The propensity score matching (PSM) method was used to adjust for imbalanced confounding variables between the groups.

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Background: To develop and validate a model that integrates clinical data, deep learning radiomics, and radiomic features to predict high-risk patients for cage subsidence (CS) after lumbar fusion.

Methods: This study analyzed preoperative CT and MRI data from 305 patients undergoing lumbar fusion surgery from three centers. Using a deep learning model based on 3D vision transformations, the data were divided the dataset into training (n = 214), validation (n = 61), and test (n = 30) groups.

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Purpose: Endoscopic spine surgery has been widely performed to treat degenerative spinal diseases to mitigate the risks and complications associated with traditional open surgery. However, endoscopic procedures pose challenges, including a limited field of view and a restricted operating space, which can affect the surgeon's learning curve. This study aimed to evaluate the learning curves for unilateral biportal endoscopic spinal surgery (UBESS) and percutaneous transforaminal endoscopic surgery (PTES) by performing cumulative sum (CUSUM) analysis and to assess their efficacies in managing degenerative spinal diseases.

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Background: The high prevalence of low back pain has led to an increasing demand for the analysis of lumbar magnetic resonance (MR) images. This study aimed to develop and evaluate a deep-learning-assisted automated system for diagnosing and grading lumbar intervertebral disc degeneration based on lumbar T2-weighted sagittal and axial MR images.

Methods: This study included a total of 472 patients who underwent lumbar MR scans between January 2021 and November 2023, with 420 in the internal dataset and 52 in the external dataset.

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Purpose: To assess the clinical and radiological outcomes of lumbar endoscopic decompression for the treatment of lumbar spinal stenosis (LSS) with concurrent degenerative lumbar scoliosis (DLS).

Methods: This study retrospectively reviewed 97 patients with LSS and DLS who underwent lumbar endoscopic decompression between 2016 and 2021. The average follow-up duration was 52.

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Single-bundle (SB) and double-bundle (DB) anterior cruciate ligament reconstruction (ACLR) have been compared for years, and long-term outcomes of the two techniques remain inconclusive. We compared the 10-year outcomes of SB and DB reconstruction, in terms of subjective scores, knee stability, graft failure, and osteoarthritis (OA). We searched MEDLINE, Embase, and Cochrane Central Register of Controlled Trials for relevant studies, without restrictions on study design, language, or publication date.

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Background: Lumbar spinal stenosis (LSS) is a major cause of pain and disability in older individuals worldwide. Although increasing studies of traditional machine learning (TML) and deep learning (DL) were conducted in the field of diagnosing LSS and gained prominent results, the performance of these models has not been analyzed systematically.

Objective: This systematic review and meta-analysis aimed to pool the results and evaluate the heterogeneity of the current studies in using TML or DL models to diagnose LSS, thereby providing more comprehensive information for further clinical application.

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Background: Extensive studies examined coronal imbalance (CIB) in adolescent and adult degenerative scoliosis; however, few studies addresses on CIB in adult with severe rigid scoliosis (SRS). Therefore, we analyzed postoperative SRS patients to identify factors associated with postoperative CIB.

Methods: In this retrospective study, we investigated SRS patients undergoing one-stage posterior column osteotomy (PCO) and fusion at our hospital between August 2012 and January 2019.

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Purpose: Adjacent disc degeneration (ADD) is a common postoperative complication after percutaneous kyphoplasty (PKP). However, risk factors for ADD after PKP have not been reported. This study aimed to determine whether osteoporotic vertebral compression fracture (OVCF) following PKP is associated with a high risk for ADD and to identify the risk factors for ADD.

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Background: This study aimed to examine the evolving trends in the global burden of low back pain (LBP) from 1990 to 2021 and predicted disease burden until 2035.

Materials And Methods: LBP-related data were obtained from the Global Health Data Exchange (GHDx) query tool. All estimates and their 95% uncertainty intervals (UIs) were generated using DisMod-MR 2.

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Improving egg quality is one of the main objectives of the poultry industry. The objective of this study was to investigate the effects of dietary oregano oil supplementation with different concentrations on the egg quality, intestinal morphology and cecal microbiome of late-phase laying hens. A total of 300 55-week-old Snowy white laying hens were randomly divided into five groups and fed a basal diet (control) or basal diets supplemented with oregano oil at 25, 50, 75 and 100 mg/kg (O25, O50, O75 and O100) over a 100-day period.

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Achieving precise pedicle screw placement in posterior lumbar interbody fusion (PLIF) is essential but difficult due to the intricacies of manual preoperative planning with CT scans. We analyzed CT data from 316 PLIF patients, using Mimics software for manual planning by two surgeons. A deep learning model was trained on 228 patients and validated on 88 patients, assessing planning efficiency and accuracy.

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Article Synopsis
  • Preoperative adjacent disc height (DH) is a key risk factor for complications (adjacent segment degeneration) after percutaneous kyphoplasty (PKP) in patients with osteoporotic vertebral compression fractures (OVCF).
  • A study on Chinese postmenopausal women established specific reference intervals (RIs) for adjacent DH across different vertebral levels, showing lower DH in cranial discs compared to caudal discs.
  • Findings indicated that lower adjacent DH increases the likelihood of complications post-PKP, emphasizing the importance of preoperative disc height assessments.
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Study Design: A retrospective case-control study.

Objective: To compare the clinical efficacy of endoscopic (Endo) and open posterior lumbar interbody fusion (PLIF) in treating lumbar spondylolisthesis.

Background: Endo-PLIF has emerged as a new technique for treating lumbar spondylolisthesis.

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Article Synopsis
  • Bone cement leakage (BCL) is a common complication in percutaneous kyphoplasty (PKP) for treating osteoporotic vertebral fractures, leading to serious health issues and unsatisfactory results.
  • This study aims to create a deep learning model that analyzes preoperative CT and MRI scans to predict the occurrence and classification of BCL, using a variety of internal and external datasets for training and validation.
  • The model's ability to accurately identify high-risk patients is expected to improve treatment strategies, enhance patient outcomes, especially in areas with limited medical resources, and facilitate better communication between doctors and patients in the healthcare system.
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Purpose: This retrospective cohort study evaluated the efficacy and safety of percutaneous transforaminal endoscopic decompression (PTED) in elderly patients with degenerative lumbar scoliosis (DLS) associated with lumbar spinal stenosis (LSS).

Study Design: A matched comparison study.

Methods: In total, 97 patients with DLS associated with LSS who underwent PTED under local anesthesia between 2016 and 2021 were retrospectively analyzed.

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Background: In recent years, deep learning (DL) technology has been increasingly used for the diagnosis and treatment of lumbar intervertebral disc (IVD) degeneration. This study aims to evaluate the performance of DL technology for IVD segmentation in magnetic resonance (MR) images and explore improvement strategies.

Methods: We developed a PRISMA systematic review protocol and systematically reviewed studies that used DL algorithm frameworks to perform IVD segmentation based on MR images published up to April 10, 2024.

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Article Synopsis
  • The study aims to improve the efficiency of measuring lumbosacral radiological parameters by utilizing a deep learning model that analyzes lateral lumbar radiographs automatically.
  • A dataset of 1,240 radiographs was used to train and evaluate the model, focusing on specific measurements such as lumbar lordosis and the percentage of lumbar spondylolisthesis.
  • Results demonstrated that the model's measurements had strong correlations with those from human experts, showing minimal differences and suggesting that it can reliably assist in clinical assessments.
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Chirality on the molecular or nanometer scale is particularly significant in chemistry, materials science, and biomedicine. Chiral electrochemical reactions on solid surfaces are currently a hot research topic. Herein, a chiral solid surface is constructed in aqueous solutions by mixing chiral molecules, d- and l-glutamic, with γ-FeO and FeO nanoparticles (NPs) and MnFeO colloidal nanocrystal assembly (CNA).

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Purpose: To determine the risk factors for recompression after percutaneous transforaminal endoscopic decompression (PTED) for the treatment of degenerative lumbar spinal stenosis (DLSS) and compare the outcomes of PTED and posterior lumbar interbody fusion (PLIF) as revision surgery.

Methods: We retrospectively evaluated 820 consecutive DLSS patients who underwent PTED at our institution. 26 patients developed postoperative recompression and underwent reoperation.

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Introduction: The best treatment yielding clinical benefits was still equivocal and controversial for the treatment of recalcitrant plantar fasciitis (PF). This study aimed to propose a novel combination strategy of ultrasound-guided percutaneous radiofrequency ablation (RFA) and corticosteroid injection (CI) for recalcitrant PF, and to compare its therapeutic effects with CI alone and continued conservative management.

Methods: We retrospectively reviewed consecutive patients with recalcitrant PF who underwent combined strategy (RFA + CI), CI alone, and continue conservative treatment at our institution between October 2021 and February 2023.

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Purpose: Percutaneous transforaminal endoscopic discectomy (PTED) was used as a minimally invasive treatment option for lumbar disc herniation (LDH). However, studies focusing on the clinical outcomes of PTED for elderly patients with adjacent segment disease (ASD) were limited. This study aims to compare the clinical outcomes of PTED between ASD and LDH in elderly patients.

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Background: Surgical robots are gaining increasing popularity because of their capability to improve the precision of pedicle screw placement. However, current surgical robots rely on unimodal computed tomography (CT) images as baseline images, limiting their visualization to vertebral bone structures and excluding soft tissue structures such as intervertebral discs and nerves. This inherent limitation significantly restricts the applicability of surgical robots.

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