Publications by authors named "Xuwen Zeng"

Article Synopsis
  • The study investigates the role of the aryl hydrocarbon receptor (AhR) in periodontitis, focusing on its expression and potential as a therapeutic target.
  • AhR was found to be elevated in macrophages from periodontitis patients, and its deletion worsened the condition by increasing inflammation.
  • Treating with the AhR agonist FICZ reduced bone loss and inflammation in periodontitis by influencing macrophage polarization and interacting with the CaMKII signaling pathway.*
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To construct a nomogram based on clinical factors and paraspinal muscle features to predict vertebral fractures occurring after acute osteoporotic vertebral compression fracture (OVCF). We retrospectively enrolled 307 patients with acute OVCF between January 2013 and August 2022, and performed magnetic resonance imaging of the L3/4 and L4/5 intervertebral discs (IVDs) to estimate the cross-sectional area (CSA) and degree of fatty infiltration (FI) of the paraspinal muscles. We also collected clinical and radiographic data.

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Objectives: Osteoporotic vertebral fractures (OVFs) are a critical public health concern requiring urgent attention, and severe OVFs impose substantial health and economic burdens on patients and society. Analysis of the risk factors for severe OVF is imperative to actively prevent the occurrence of this degenerative disorder. This study aimed to investigate the risk factors associated with the severity of OVF, with a specific focus on changes in the paraspinal muscles.

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  • The study aimed to create and validate a deep learning model using CT scans to distinguish between bone islands and osteoblastic bone metastases in patients with sclerosing bone lesions.
  • A total of 2,111 SBLs from 728 patients were analyzed, with the 2.5D model (using three CT slices) outperforming the 2D model in diagnostic accuracy, achieving AUC values of 0.996, 0.958, and 0.952 across various validation datasets.
  • The findings suggest that the 2.5D DL model could improve clinical decision-making by providing more accurate predictions of osteoblastic bone metastases compared to traditional imaging methods.
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Article Synopsis
  • - The study aims to create and validate an AI system for diagnosing vertebral compression fractures (VCFs) using X-ray images from nearly 1900 patients at multiple hospitals.
  • - A deep learning model based on the ResNet-18 architecture was tested, showing diagnostic accuracy ranging from 0.757 to 0.850 across various test groups, outperforming radiologists with less expertise.
  • - The results suggest that this AI diagnostic tool could significantly enhance the detection of VCFs in community hospitals, providing a reliable resource for healthcare professionals.
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Background: As a first-line imaging modality, whole-body fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) and 18F-FDG PET/magnetic resonance imaging (MRI) had been widely applied in clinical practice. However, 18F-FDG PET/MRI may be superior to PET/CT for the diagnosis of distant metastases in patients with advanced-stage. Therefore, it is timely and important to systematically determine the diagnostic accuracy of 18F-FDG PET/MRI compared with that of 18F-FDG PET/CT for the diagnosis of distant metastases.

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Plasma homocysteine (Hcy) has been identified as a potential risk factor for cerebral small vessel disease. Cerebral small vessel disease (CSVD) leads to cognitive impairment, depression, and other symptoms and is a common disease in middle-aged and elderly people. To investigate the relationship between 5,10-methylenetetrahydrofolate reductase () C677T polymorphism and CSVD in elderly patients, plasma levels of homocysteine (Hcy) and genotyping were assessed.

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To investigate overuse wrist injuries in adolescent divers using magnetic resonance imaging (MRI). The bilateral wrists (76 wrists) of 38 professional divers were examined by MRI; 42 wrists with pain were placed in the symptomatic group, and 34 wrists without pain were placed in the asymptomatic group. Two experienced radiologists assessed the wrist injuries.

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Objectives: To assess the diagnostic accuracy of diffusion-weighted imaging (DWI) in predicting the malignant potential in patients with intraductal papillary mucinous neoplasms (IPMNs) of the pancreas.

Methods: A systematic search of articles investigating the diagnostic performance of DWI for prediction of malignant potential in IPMNs was conducted from PubMed, Embase, and Web of Science from January 1997 to 10 February 2020. QUADAS-2 tool was used to evaluate the study quality.

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Objectives: Epulis is considered to be a massive reactive lesion rather than a true neoplasia. AhR is thought to be associated with inflammation and development of neoplasms. Here, we aimed to observe the expression of AhR in fibrous epulis and explore its role and possible mechanism in the pathogenesis of epulis.

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Background: To determine the related imaging findings and risk factors to refracture of the cemented vertebrae after percutaneous vertebroplasty (PVP) treatment.

Methods: Patients who were treated with PVP for single vertebral compression fractures (VCFs) and met this study's inclusion criteria were retrospectively reviewed from January 2012 to January 2019. The follow-up period was at least 2 years.

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Identification of safe and effective compounds to increase or activate UCP1 expression in brown or white adipocytes remains a potent therapeutic strategy to combat obesity. Here we reported that, glyburide, one of the FDA-approved drugs currently used to treat type 2 diabetes, can significantly enhance UCP1 expression in both brown and white adipocytes. Glyburide-fed mice exhibited a clear resistance to high-fat diet-induced obesity, reduced blood triglyceride level, and increased UCP1 expression in brown adipose tissue.

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Article Synopsis
  • Whole-lesion ADC histogram analysis is emerging as a promising tool for distinguishing between benign and malignant breast lesions, but it isn't widely used yet in clinical settings.
  • A meta-analysis of five studies with 493 patients found the pooled sensitivity to be 85% and specificity 79% for this analysis method, demonstrating its effectiveness in diagnosis.
  • The study concludes that while ADC histogram analysis shows good diagnostic performance, further research is needed to confirm these findings due to the limited number of studies considered.
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There are limited treatment options for cartilage defects in clinical practice because of the lack of suitable biomaterials. Here, we evaluated the effects of collagen type II sponge on the articular cartilage repairing process using a cartilage injury of a rabbit knee joint model. We showed that the home-made collagen type II sponges appeared to have a suitable pore size of 93.

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