A5090372136- Spondyloarthritis Studies and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Bone and Joint Diseases
- Rheumatoid Arthritis Research and Therapies
- Sarcoma Diagnosis and Treatment
- Bone Tumor Diagnosis and Treatments
- Musculoskeletal synovial abnormalities and treatments
- Advanced Neuroimaging Techniques and Applications
- Algal biology and biofuel production
- AI in cancer detection
- Nanoplatforms for cancer theranostics
- Photoacoustic and Ultrasonic Imaging
- Tendon Structure and Treatment
- MRI in cancer diagnosis
- Osteoarthritis Treatment and Mechanisms
- Cancer Genomics and Diagnostics
- Bone health and treatments
- Advanced Nanomaterials in Catalysis
- Neural dynamics and brain function
- Sports injuries and prevention
- Knee injuries and reconstruction techniques
- Cancer, Stress, Anesthesia, and Immune Response
- ECG Monitoring and Analysis
- Public Health and Nutrition
- Circular RNAs in diseases
Third Affiliated Hospital of Southern Medical University
2014-2024
Chifeng University
2023
Inner Mongolia Medical University
2023
Zhengzhou Central Hospital
2023
Southern Medical University
2015-2021
University of California, San Diego
1983-2019
Guangdong Academy of Medical Sciences
2015
Abstract A multifunctional nanoplatform with core–shell structure was constructed in one-pot for the synergistic photothermal, photodynamic, and chemotherapy against breast cancer. In presence of gambogic acid (GA) as heat-shock protein 90 (HSP90) inhibitor gold nanostars (AuNS) photothermal reagent, assembly Zr 4+ tetrakis (4-carboxyphenyl) porphyrin (TCPP) gave rise to nanocomposite AuNS@ZrTCPP-GA ( AZG ), which turn, further coated PEGylated liposome (LP) enhance stability...
Abstract Nanomedicine exhibits emerging potentials to deliver advanced therapeutic strategies in the fight against triple‐negative breast cancer (TNBC). Nevertheless, it is still difficult develop a precise codelivery system that integrates highly effective photosensitizers, low toxicity, and hydrophobicity. In this study, PCN‐224 selected as carrier enable therapy through light‐activated reactive oxygen species (ROS) formation, PCN‐224@Mn 3 O 4 @HA created simple one‐step process by coating...
Multi-sequence magnetic resonance imaging is crucial in accurately identifying knee abnormalities but requires substantial expertise from radiologists to interpret. Here, we introduce a deep learning model incorporating co-plane attention across image sequences classify abnormalities. To assess the effectiveness of our model, collected largest multi-sequence dataset involving most comprehensive range abnormalities, comprising 1748 subjects and 12 types Our achieved an overall area under...
Entheses are regions where tendons and ligaments attach to bone, the primary target in seronegative other diseases of musculoskeletal (MSK) system. MRI has been widely used for visualizing features inflammatory degenerative MSK disease; however, normal entheses have short transverse relaxation times ( T 2 ), show little or no signal with conventional clinical pulse sequences, making it difficult investigate their MR properties. In this study we examined morphology cadaveric Achilles tendon...
The collagen density is not detected in the patellar tendon (PT), posterior cruciate ligament (PCL), and anterior (ACL) clinic. We assess technical feasibility of three-dimension multiecho fat saturated ultrashort echo time cones (3D FS-UTE-Cones) acquisitions for single- bicomponent T2⁎ analysis bound free water pools PT, PCL, ACL knees five healthy volunteers six knee joint samples from cadavers were scanned via 3D FS-UTE-Cones on a clinical scanner. Single-component fitting T2⁎M short...
Objective. To develop and externally validate a CT-based radiomics nomogram for pretreatment prediction of relapse in osteosarcoma patients within one year. Materials Methods. In this multicenter retrospective study, total 80 (training cohort: 63 from three hospitals; validation 17 other hospitals) with osteosarcoma, undergoing CT between August 2010 December 2018, were identified databases. Radiomics features extracted selected tumor regions on image, then, the signature was constructed....
Background: Axial spondyloarthritis (axSpA) is frequently diagnosed late, particularly in human leukocyte antigen (HLA)-B27-negative patients, resulting a missed opportunity for optimal treatment. This study aimed to develop an artificial intelligence (AI) tool, termed NegSpA-AI, using sacroiliac joint (SIJ) magnetic resonance imaging (MRI) and clinical SpA features improve the diagnosis of axSpA HLA-B27-negative patients. Methods: We retrospectively included 454 patients with...
The relationships between IVIM and DCE-MRI parameters in AS are not clear. We explore the correlation intravoxel incoherent motion (IVIM) diffusion weighted imaging (DWI) dynamic contrast-enhanced (DCE) obtained on MR images patients with ankylosing spondylitis (AS). Forty-four were prospectively examined using a 1.5-T system. DWI was performed 11 b values (range, 0-800 s/mm2) for all patients. coefficients analyzed Spearman's method. Our results showed that intra- interobserver...
The zone of calcified cartilage (ZCC) plays an important role in the pathogenesis osteoarthritis (OA) but has never been imaged vivo with magnetic resonance (MR) imaging techniques. We investigated feasibility direct ZCC both cadaveric whole knee specimens and healthy knees using a 3-dimensional ultrashort echo time cones (3D UTE-Cones) sequence on clinical 3T scanner.In all, 12 joints 10 were collected. At MR scanner 8-channel coil, fat-saturated 3D dual-echo UTE-Cones was used to image...
Previous studies showed that combining apparent diffusion coefficient (ADC) value with the Spondyloarthritis Research Consortium of Canada (SPARCC) index might provide a reliable evaluation activity ankylosing spondylitis (AS), and contrast-enhanced (CE) magnetic resonance imaging (MRI) is unnecessary. However, results were based on confirming only small random sample. This study aimed to assess role CE-MRI in differentiating disease AS by comparing ADC large sample.A total 115 patients...
We retrospectively collected CT scan data from 276 patients with pathologically confirmed primary bone tumors 4 medical centers in Guangdong Province between January, 2010 and August, 2021. A convolutional neural network (CNN) was employed as the deep learning architecture. The optimal baseline model (R-Net) determined through transfer learning, an optimized (S-Net) obtained algorithmic improvements. Multivariate logistic regression analysis used to screen clinical features such sex, age,...
To prospectively explore the relationship between intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) parameters of sacroiliitis in patients with axial spondyloarthritis (axSpA). Patients initially diagnosed axSpA underwent on 3.0 T sacroiliac joint (SIJ). The IVIM (D, f, D *) were calculated using biexponential analysis. K trans, ep, V e, p from DCE-MRI obtained SIJ. uni-variable multi-variable linear regression analyses used to...
Background: To develop and externally validate an MR-based radiomics nomogram from retrospective multicenter datasets for pretreatment prediction of early relapse (≤1 year) in osteosarcoma after surgical resection.Methods: This study retrospectively enrolled 93 patients (training cohort: 62 four hospitals; validation 31 two hospitals) with clinicopathologically confirmed who received neoadjuvant chemotherapy resection at six hospitals between January 2009 October 2017. Radiomics feature was...
Purpose. To explore the diagnostic performance of optimized threshold <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>b</mi> </math> values on IVIM to detect activity in axial spondyloarthritis (axSpA) patients. Method. 40 axSpA patients active group, 144 inactive and 20 healthy volunteers were used evaluate tissue diffusion coefficient ( id="M3"> <msub> <mrow> <mi>D</mi> </mrow> <mtext>slow</mtext> </msub> ), perfusion fraction id="M4"> <mi>f</mi> pseudodiffusion id="M5">...
Background To predict the treatment response for axial spondyloarthritis (axSpA) with hip involvement in 1 year based on MRI and clinical indicators. Methods A total of 77 axSpA patients (60 males; median age, 25 years; interquartile, 22–31 years old) were treated a drug recommended by Assessment SpondyloArthritis international Society European League Against Rheumatism (ASAS-EULAR) management. They prospectively enrolled according to (ASAS) criteria. Clinical indicators, including gender,...