A5100664511- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Crystallization and Solubility Studies
- Genetic Neurodegenerative Diseases
- Transcranial Magnetic Stimulation Studies
- X-ray Diffraction in Crystallography
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation Therapy and Dosimetry
- Neurological disorders and treatments
- Mitochondrial Function and Pathology
- Advanced Neuroimaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Immunotherapy and Immune Responses
- Advanced MRI Techniques and Applications
- Nuclear Physics and Applications
- Vestibular and auditory disorders
- Cancer Immunotherapy and Biomarkers
- Advanced Battery Technologies Research
- Protease and Inhibitor Mechanisms
- Cancer-related molecular mechanisms research
- Osteoarthritis Treatment and Mechanisms
- Dermatology and Skin Diseases
- Spectroscopy and Chemometric Analyses
- Radiation Dose and Imaging
Chinese Academy of Medical Sciences & Peking Union Medical College
2015-2025
First Affiliated Hospital of Fujian Medical University
2017-2025
Fujian Medical University
2017-2025
Anhui Agricultural University
2025
Wenzhou Medical University
2025
Zhejiang Lab
2025
Tan Kah Kee Innovation Laboratory
2023-2025
Donghua University
2025
Shanghai Dianji University
2023-2024
Cancer Hospital of Chinese Academy of Medical Sciences
2024
Background: Radiotherapy is one of the main treatment methods for nasopharyngeal carcinoma (NPC). It requires exact delineation nasopharynx gross tumor volume (GTVnx), metastatic lymph node (GTVnd), clinical target (CTV), and organs at risk (OARs) in planning computed tomography (CT) images. However, this task time-consuming operator-dependent. In present study, we developed an end-to-end deep deconvolutional neural network (DDNN) segmentation these targets. Methods: The proposed DDNN...
Radiation pneumonitis (RP) is one of the major toxicities thoracic radiation therapy. RP incidence has been proven to be closely associated with dosimetric factors and normal tissue control possibility (NTCP) factors. However, because these only utilize limited information dose distribution, prediction abilities are modest. We adopted dosiomics method for prediction. The first extracts spatial features distribution within ipsilateral, contralateral, total lungs, then uses extracted construct...
Despite a good and overall prognosis, papillary thyroid cancer (PTC) can still affect the quality of life many patients, even be life-threatening due to its invasiveness metastasis. Emerging studies demonstrate that circular RNAs (circRNAs) participate in regulation various cancers. However, circRNA profile invasive PTC is not well understood. Competing endogenous RNA (ceRNA) microarrays were performed determine circRNAs contributed tumorigenesis PTC. Bioinformatics methods used narrow down...
Field investigations of high stress soft rock deformations show that the roadway can slide with large deformation. Severe extrusion and floor heave also be subsequently observed. The supported locally damaged or completely fail, where has a deformation and/or is seriously damaged. factors inducing surrounding rocks in deep are strengths, structure face cutting types, states, release, support patterns, construction methods. Based on characteristics roadway, comprehensive scheme proposed....
Hyperlipidemia with accompanying increase in peripheral inflammation is a risk factor for stroke. The effect of excess lipids on stroke-induced injury and the mechanism by which lipid-mediated inflammatory responses contribute to stroke are not known. We investigated these uncertainties subjecting normal hyperlipidemic mice transient middle cerebral artery occlusion, followed measurement severity response. Infarct size, swelling, lipid contents were significantly increased high-fat fed ApoE...
Radiation pneumonitis (RP) is one of the major side effects thoracic radiotherapy. The aim this study to build a dose distribution based prediction model, and investigate correlation RP incidence high-order features distribution. A convolution 3D (C3D) neural network was used construct model. C3D pre-trained for action recognition. as input With network, operation performed in space. guided gradient-weighted class activation map (grad-CAM) utilized locate regions which were strongly...
The folate-coupled metabolic enzyme MTHFD2 (the mitochondrial methylenetetrahydrofolate dehydrogenase/cyclohydrolase) confers redox homeostasis and drives cancer cell proliferation migration. Here, we show that is hyperacetylated lysine 88 the critical acetylated site. SIRT3, major deacetylase in mitochondria, responsible for deacetylation. Interestingly, chemotherapeutic agent cisplatin inhibits expression of SIRT3 to induce acetylation colorectal cells. Cisplatin-induced K88 sufficient...
Purpose: To investigate whether a deep learning-assisted contour (DLAC) could provide greater accuracy, inter-observer consistency, and efficiency compared with manual (MC) of the clinical target volume (CTV) for non-small cell lung cancer (NSCLC) receiving postoperative radiotherapy (PORT). Materials Methods: A dilated residual network was used to achieve effective automatic CTV. Eleven junior physicians contoured CTVs on 19 patients by using both MC DLAC methods independently. Compared...
Abstract Breast cancer is the most prevalent in women worldwide, which remains incurable once metastatic. stem cells (BCSCs) are a small subset of breast cells, radical cause drug resistance, tumor relapse, and metastasis cancer. The extracellular serine protease inhibitor serpinE2, also named nexin-1 (PN-1), contributes to enhanced mainly by remodeling matrix. In this study, we found that PN-1 was up-regulated cancer, promoted cell invasion, migration stemness. Furthermore, using specific...
Supramolecular materials with room-temperature healability and recyclability are highly desired because they can extend lifetimes reduce resources consumption. Most approaches toward healing recycling rely on the dynamically reversible supramolecular interactions, such as hydrogen, ionic coordinate bonds, which hygroscopic vulnerable to water. The general water-induced plasticization facilitates reprocessing process but cause a troubling problem of random self-adhesion. To address this...
The soluble solid content (SSC) is one of the important parameters depicting quality, maturity and taste fruits. This study explored hyperspectral imaging (HSI) fluorescence spectral (FSI) techniques, as well suitable chemometric techniques to predict SSC in kiwifruit. 90 kiwifruit samples were divided into 70 calibration sets 20 prediction sets. images range 387 nm~1034 nm 400 nm~1000 collected, their regions interest extracted. Six pre-processing used pre-process two data, best method was...
Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase dose received by organs at risk. This can be addressed real-time tracking, where respiration prediction is currently required to compensate for system latency in RT systems. Notably, of future images image-guided adaptive systems, use deep learning has been considered.
Background Multiple system atrophy-cerebellar subtype (MSA-C) is a predominance of cerebellar ataxia and autonomic failure. MSA-C has rapid progression, with average 9 years from symptom onset to death. Despite its prevalence, there still lack effective treatments. In recent years, it been established that taVNS significant therapeutic effects on epilepsy, depression, migraine, insomnia, other diseases. Hence, we performed treatment for one patient explore whether could alleviate patient’s...
Abstract Background Spinocerebellar ataxia type 3 (SCA3) is a hereditary disease caused by abnormally expanded CAG repeats in the ATXN3 gene. The study aimed to identify potential biomarkers for assessing therapeutic efficacy investigating associations between repeat size, brain and spinal cord volume loss, motor functions patients with SCA3. Methods In this prospective, cross-observational study, we analyzed 3D T1-weighted MRIs from 92 SCA3 42 healthy controls using voxel-based morphometry...
Spinal cord injury (SCI) impairs the balance of gut microbiomes, which further aggravates inflammation in injured areas and inhibits axonal regeneration. The intestinal microbiome plays an important role SCI regulating promotes repair. However, current studies have shown that indole-3 propionate (IPA), a metabolite bacteria, can promote short half-life IPA limits its effectiveness. Gut microbiota progression SCI, but about diet regulates flora metabolites to improve are still limited lack...
Model Predictive Control (MPC) is commonly employed for trajectory tracking in control systems. However, Unmanned Surface Vehicle (USV) systems frequently encounter disturbances and model inaccuracies, resulting mismatches between predicted actual behaviors. This paper proposes a Gaussian Process (GP-MPC) framework to address the challenges of USVs. The MPC comprises nominal based on kinematic analysis process error model. latter compensates system inaccuracies using sampled data....
The anatomical complexity of the head and neck region lack sufficiently specific sensitive biomarkers often lead to diagnosis squamous cell carcinoma (HNSCC) at advanced stages. To identify novel for early primary HNSCC through a minimally invasive method, we investigated circulating long noncoding RNA (lncRNA) levels in plasma patients.The global lncRNA expression profiles patients were measured using microarray next-generation RNA-sequencing (RNA-seq) data from both tissue samples....
Background Spinocerebellar ataxia type 3 (SCA3) is the most common autosomal dominant hereditary ataxia, and, thus far, effective treatment remains low. Repetitive transcranial magnetic stimulation (rTMS) can improve symptoms of spinal cerebellar but mechanism unclear; in addition, whether any improvement related to metabolism has not yet been investigated. Therefore, purpose this study was investigate effects low-frequency rTMS on local patients with SCA3 and relationship between...