- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Nanoplatforms for cancer theranostics
- Hepatocellular Carcinoma Treatment and Prognosis
- Nanoparticle-Based Drug Delivery
- Medical Imaging Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Renal cell carcinoma treatment
- Glioma Diagnosis and Treatment
- Photodynamic Therapy Research Studies
- Advanced X-ray and CT Imaging
- Advanced MRI Techniques and Applications
- Cancer, Hypoxia, and Metabolism
- Gastric Cancer Management and Outcomes
- Endometrial and Cervical Cancer Treatments
- Cancer-related molecular mechanisms research
- Colorectal Cancer Surgical Treatments
- Cancer Research and Treatments
- Dendrimers and Hyperbranched Polymers
- Dysphagia Assessment and Management
- AI in cancer detection
- MicroRNA in disease regulation
- Pancreatic and Hepatic Oncology Research
- Luminescence and Fluorescent Materials
South China University of Technology
2018-2025
Guangzhou First People's Hospital
2016-2025
Guangzhou Medical University
2016-2025
Shenzhen Bay Laboratory
2024
Zhejiang Chinese Medical University
2023-2024
North Sichuan Medical University
2024
Jinan University
2020-2023
First Affiliated Hospital of Jinan University
2015-2023
Qingdao Agricultural University
2022
Beijing Technology and Business University
2022
Abstract: Theranostic nanoparticles with both imaging and therapeutic abilities are highly promising in successful diagnosis treatment of the most devastating cancers. In this study, dual-modal photothermal effect hyaluronan (HA)-modified superparamagnetic iron oxide (HA-SPIONs), which was developed a previous were investigated for CD44 HA receptor-overexpressing breast cancer vitro vivo experiments. Heat is found to be rapidly generated by near-infrared laser range irradiation HA-SPIONs....
OBJECTIVE. The purpose of this study was to explore the value CT in diagnosis coronavirus disease (COVID-19) pneumonia, especially for patients who have negative initial results reverse transcription–polymerase chain reaction (RT-PCR) testing.
Background. Dysregulation of the striatum and altered corticostriatal connectivity have been associated with psychotic disorders. Social anhedonia has identified as a predictor for development schizophrenia spectrum The aim present study was to examine functional in individuals high social anhedonia. Method. Twenty-one participants score 30 low measured by Chinese version Revised Anhedonia Scale were recruited from university undergraduates (age 17–21 years) undergo resting-state MRI scans....
The codelivery of drugs at specific optimal ratios to cancer cells is vital for combination chemotherapy. However, most the current strategies are unable coordinate loading and release drug combinations acquire precise controllable synergistic ratios. In this work, we designed an innovative dual-drug backboned reduction-sensitive polyprodrug PEG-P(MTO-ss-CUR) containing anticancer mitoxantrone (MTO) curcumin (CUR) ratio reverse resistance. Due synchronous activation polymer backbone...
The normoxic and hypoxic microenvironments in solid tumors cause cancer cells to show different sensitivities various treatments. Therefore, it is essential develop therapeutic modalities based on the tumor microenvironment. In this study, we designed size-switchable nanoparticles with self-destruction penetration characteristics for site-specific phototherapy of cancer. This was achieved by photodynamic therapy perivascular microenvironment due high local oxygen concentrations photothermal...
Mono-chemotherapy has significant side effects and unsatisfactory efficacy, limiting its clinical application. Therefore, a combination of multiple treatments is becoming more common in oncotherapy. Chemotherapy combined with the induction ferroptosis potential new Furthermore, polymeric nanoparticles (NPs) can improve antitumor efficacy decrease toxicity drugs. Herein, NP, mPEG-b-PPLGFc@Dox, synthesized to doxorubicin (Dox) enhance chemotherapy by combining it ferroptosis. First,...
Methylation of the O 6 -methylguanine methyltransferase (MGMT) gene promoter is correlated with effectiveness current standard care in glioblastoma patients. In this study, a deep learning pipeline designed for automatic prediction MGMT status 87 patients contrast-enhanced T1W images and 66 fluid-attenuated inversion recovery(FLAIR) images. The end-to-end completes both tumor segmentation classification. better performance comes from FLAIR (Dice score, <mml:math...
Abstract Chronic obstructive pulmonary disease (COPD) is a leading aging related cause of global mortality. Small airway narrowing recognized as an early and significant factor for COPD development. Senescent fibroblasts were observed to accumulate in lung patients promote progression through aberrant extracellular matrix (ECM) deposition senescence-associated secretory phenotype (SASP). On the basis our previous study, we further investigated causes increased levels miR-377-3p blood...
In this work, we propose a radiomics-guided neural network, XRadNet, for breast cancer molecular subtype prediction. XRadNet is two-head with one predicting subtypes and the other approximating radiomic features. addition, training scheme radiomics guidance proposed to improve performance. First, conduct series of experiments test feature learning capacity different networks, which determines backbone XRadNet. Moreover, significant features are also determined according prior knowledge....
Objective Prospectively assess the performance of diffusion-weighted magnetic resonance imaging (DW-MRI) for differentiation central lung cancer from atelectasis. Materials and Methods 38 consecutive patients (26 males, 12 females; age range: 28–71 years; mean age: 49 years) who were referred thoracic MR examinations enrolled. performed using a 1.5-T clinical scanner scanning sequences T1WI, T2WI, DWI. Cancers atelectasis measured by mapping apparent diffusion coefficients (ADCs) obtained...
Abnormal functional connectivity (FC) at rest has been identified in clinical depressive disorder. However, very few studies have conducted to understand the underlying neural substrates of subclinical depression. The newly proposed centrality analysis approach increasingly used explore large-scale brain network mental diseases. This study aimed identify degree (DC) alteration subjects. Thirty-seven candidates with depression and 34 well-matched healthy controls (HCs) were recruited from...
The noninvasive detection of tumor proliferation is great value and the Ki-67 a biomarker proliferation. We hypothesized that radiomics characteristics may be related to To evaluate whether computed tomography (CT) feature analyses could aid in assessing marker index hepatocellular carcinoma (HCC), we retrospectively analyzed preoperative CT findings 74 patients with HCC. texture calculations were from MaZda 4.6 software, sequential forward selection algorithm was used as method. correlation...
Objective: This study aimed to explore alterations in the topological properties of functional brain network primary Parkinson's disease (PD) patients with freezing gait (PD-FOG). Methods: Resting-state magnetic resonance imaging (Rs-fMRI) data were obtained 23 PD-FOG patients, 33 PD without FOG (PD-nFOG), and 24 healthy control (HC) participants. The whole-brain connectome was constructed by thresholding Pearson correlation matrices 90 regions, analyzed using graph theory approaches....
Low immune infiltration severely hinders the efficacy of cancer immunotherapy. Here, we developed a manganese-phenolic network platform (TMPD) to boost antitumor immunity via stimulator interferon gene (STING)-amplified activation cascade. TMPD is based on doxorubicin (DOX)-loaded PEG-PLGA nanoparticles and further coated with manganese (Mn2+)-tannic acid (TA) networks. Mechanistically, DOX-based chemotherapy Mn2+-mediated chemodynamic therapy effectively promoted immunogenic cell death...