A5101472840- Spine and Intervertebral Disc Pathology
- Musculoskeletal pain and rehabilitation
- Spinal Fractures and Fixation Techniques
- Cervical and Thoracic Myelopathy
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Anesthesia and Pain Management
- Spinal Hematomas and Complications
- Medical Imaging and Pathology Studies
- Gut microbiota and health
- Spondyloarthritis Studies and Treatments
- Scoliosis diagnosis and treatment
- RNA modifications and cancer
- Advanced X-ray and CT Imaging
- Myofascial pain diagnosis and treatment
- Advanced Image Processing Techniques
- Total Knee Arthroplasty Outcomes
- Nerve Injury and Rehabilitation
- Heterotopic Ossification and Related Conditions
- Bone and Joint Diseases
- Silk-based biomaterials and applications
- IL-33, ST2, and ILC Pathways
- Ultrasound in Clinical Applications
Third Affiliated Hospital of Southern Medical University
2013-2025
Shanghai Changzheng Hospital
2021-2025
Southern Medical University
2024
Second Military Medical University
2011-2021
Recently, accumulating evidence has suggested that gut microbiota may be involved in the occurrence and development of ankylosing spondylitis (AS). It been rifaximin have ability to modulate bacterial communities, prevent inflammatory response, barrier function. The goal this work is evaluate protective effects fighting AS elucidate potential underlying mechanism. Rifaximin were administered proteoglycan (PG)-induced mice for 4 consecutive weeks. disease progression was measured with...
Due to different treatment method and prognosis of subtypes lung adenocarcinomas appearing as ground-glass nodules (GGNs) on computed tomography (CT) scan, it is important classify invasive from non-invasive adenocarcinomas. The purpose this paper build evaluate the performance deep learning networks differentiation invasiveness adenocarcinoma GGNs.This retrospective study included 886 GGNs 794 pathological confirmed patients with for training testing proposed networks. Three networks,...
Abstract To develop a deep learning-based model for detecting rib fractures on chest X-Ray and to evaluate its performance based multicenter study. Chest digital radiography (DR) images from 18,631 subjects were used the training, testing, validation of learning fracture detection model. We first built pretrained model, simple framework contrastive visual representations (simCLR), using with training set. Then, simCLR was as backbone fully convolutional one-stage (FCOS) objective network...
Computed tomography (CT) plays an important role in the diagnosis of lung nodules and early screening cancer. The purpose this study was to compare efficacy 1,024×1,024 matrix 512×512 artificial intelligence-based computer-aided (AI-CAD) for evaluating based on CT images. This retrospective analysis included 344 patients from two hospitals between January 2020 November 2023. images presenting smaller than 30 mm were reconstructed using matrix. We evaluated image quality AI-CAD detection...
Abstract Ankylosing spondylitis is a chronic, progressive disease, and its treatment relevant to the gut microbiota. Anti‐tumor necrosis factor‐alpha (anti‐TNF‐α) therapy alters microbiota in many diseases, including inflammatory bowel disease. However, little known about effect of TNF‐α blocker on ankylosing spondylitis. Herein, proteoglycan‐induced arthritis was investigated. Proteoglycan‐induced mice were treated with an rhTNFR:Fc solution etanercept (5 µg/g) for 4 weeks. attenuated...
Abstract Image quality control (QC) is crucial for the accurate diagnosis of knee diseases using radiographs. However, manual QC process subjective, labor intensive, and time-consuming. In this study, we aimed to develop an artificial intelligence (AI) model automate procedure typically performed by clinicians. We proposed AI-based fully automatic radiographs high-resolution net (HR-Net) identify predefined key points in images. then geometric calculations transform identified into three...
Study Design. A dissection-based study of 10 embalmed human cadavers. Objective. The purpose this was to describe the sinuvertebral nerves at lumbar level and discuss their possible clinical significance. Summary Background Data. Discogenic low-back pain is mediated by nerves. However, detailed descriptions are lacking. Methods. One hundred L1-L5 intervertebral foramina from cadavers were studied. presence noted. quantity, origin, pathway, innervation range, spatial orientations in examined....
BACKGROUND: Assessing the 3-dimensional (3D) relationship between critical anatomical structures and surgical channel can help select percutaneous endoscopic lumbar discectomy (PELD) approaches, especially at L5/S1 level. However, previous evaluation methods for PELD were mainly assessed using 2-dimensional (2D) medical images, making understanding of 3D lumbosacral difficult. Artificial intelligence based on automated magnetic resonance (MR) image segmentation has benefit reconstruction...
Osteosarcoma(OS) remains a major health concern in childhood and adolescence, although cisplatin is one of the gold standard chemotherapeutic drugs treatment OS, chemoresistant to common. Phosphoinositide 3-kinase (PI3K)-Akt-mammalian target rapamycin inhibitor (mTOR) pathway autophagy regulates chemosensitivity incancer cells. In this study, we hypothesized that NVP-BEZ235, dual PI3K/mTOR, could synergize sensitivity OS. vitro, NVP-BEZ235 plus cisplatinexerted synergistic effect on cell...
Osteosarcoma (OS) is the most common primary bone tumors diagnosed in children and adolescents. Recent studies have shown a prognostic role of DNA methylation various cancers, including OS. The aim this study was to identify aberrantly methylated genes that are prognostically relevant OS.The differentially expressed mRNAs, miRNAs (DEGs, DEMs DMGs respectively) were screened from GEO databases, potential target predicted by RNA22 program. protein-protein interaction (PPI) networks constructed...
Purpose Multiple myeloma (MM) and metastasis originated are the two common malignancy diseases in spine. They usually show similar imaging patterns highly demanded to differentiate for precision diagnosis treatment planning. The objective of this study is therefore construct a novel deep-learning-based method effective differentiation diseases, with comparative traditional radiomics analysis. Methods We retrospectively enrolled total 217 patients 269 lesions, who were diagnosed spinal MM (79...
Introduction: To evaluate the different multi-detector computed tomography (MDCT) features between pulmonary malignant focal ground-glass opacity (fGGO) nodules and solid of 3 cm or less in diameter. Methods: One hundred five 48 fGGOs confirmed by pathology were retrospectively analysed with regard to patient's demographic data, nodule size MDCT (shape, margin, interface, internal characteristics adjacent structure). Differences using Fisher exact test Mann–Whitney U-test. Results: The male...
The peri-tumor microenvironment plays an important role in the occurrence, growth and metastasis of cancer. aim this study is to explore value application a CT image-based deep learning model tumors peri-tumors predicting invasiveness ground-glass nodules (GGNs).
Background: Discogenic low back pain (DLBP) is considered the most common type of chronic (CLBP). Sinuvertebral nerve block (SVNB) a rapid and precise intervention performed under local anesthesia to treat DLBP induced CLBP. Thus, in this study, we aimed explore clinical efficacy SVNB for DLBP.
Study Design. Anatomical study. Objective. This study aimed to elaborate on the anatomical characteristics of medial branch lumbar dorsal rami and discuss its possible clinical significance. Summary Background Data. Radiofrequency ablation targeting has been increasingly used in management facetogenic low back pain (FLBP). Nonetheless, attention is also being given complications such as atrophy soft tissues muscles. Therefore, a more detailed understanding innervation pattern facet joint may...
•We employed a cascading approach of two 2D networks to achieve the functionality 3D image pulmonary nodules super-resolution target reconstruction CT among three axes.•We used pre-trained model for mapping from normal-resolution images high-resolution images, which enhanced stability and convergence speed results.•In addition evaluation we also relevant diagnostic indicators, makes our results more valuable clinical application. Rationale ObjectivesTo develop Dual...