A5051673208- Head and Neck Cancer Studies
- COVID-19 and healthcare impacts
- Economic and Financial Impacts of Cancer
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Pancreatic and Hepatic Oncology Research
- COVID-19 Clinical Research Studies
- Lymphoma Diagnosis and Treatment
- SARS-CoV-2 detection and testing
- Neuroendocrine Tumor Research Advances
- Cancer Diagnosis and Treatment
- Salivary Gland Tumors Diagnosis and Treatment
- Musculoskeletal synovial abnormalities and treatments
- Colorectal Cancer Screening and Detection
- COVID-19 diagnosis using AI
- Breast Lesions and Carcinomas
- Sarcoma Diagnosis and Treatment
- Radiopharmaceutical Chemistry and Applications
- Lung Cancer Diagnosis and Treatment
- Infection Control and Ventilation
- Advanced Neuroimaging Techniques and Applications
- Gastrointestinal Tumor Research and Treatment
- Sleep and related disorders
- Lung Cancer Research Studies
- Liver Disease Diagnosis and Treatment
Chinese Academy of Sciences
2020-2024
University of Chinese Academy of Sciences
2020-2024
Zhejiang Cancer Hospital
2018-2024
Cancer Hospital of Chinese Academy of Medical Sciences
2020
Affiliated Hospital of Hangzhou Normal University
2014
Dongguan People’s Hospital
2012
Key Laboratory of Guangdong Province
2009-2010
State Key Laboratory of Oncology in South China
2009-2010
Abstract To compare clinical and imaging features between patients with an initial negative reverse-transcription-polymerase chain-reaction (RT-PCR) test positive RT-PCR test. CT follow-up analysis in the group is also described. Thirty-three SARS-CoV-2 infection confirmed by RT-PCR, 216 lesions upon CT, were included. Demographic information chest collected. The average age whole study was 46.9 ± 11.1 years, 18 males 15 females. Patients more likely to have a fever than (85.7% vs 50%, P...
To establish a diagnostic model by combining imaging features with enhanced CT texture analysis to differentiate pancreatic serous cystadenomas (SCNs) from mucinous (MCNs).Fifty-seven and 43 patients pathology-confirmed SCNs MCNs, respectively, one center were analyzed divided into training cohort (n = 72) an internal validation 28). An external 28) another was allocated. Demographic radiological information collected. The least absolute shrinkage selection operator (LASSO) recursive feature...
Abstract Radiomics uses automated algorithms to extract high‐order features from images, which can contribute clinical decisions such as therapeutic efficacy evaluation. We assessed the value of a dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI)‐based radiomics model for predicting pathological complete response (pCR) after second cycle neoadjuvant chemotherapy (NAC) in patients with mass breast cancer. retrospectively analyzed data 149 cancer who underwent NAC between January...
Abstract Background The purpose of this study was to investigate the incidence retropharyngeal lymph node (RPLN) metastasis and explore associated risk factors using CT MRI, direct clinical radiotherapy in hypopharyngeal carcinoma (HPC). Methods MRI images 218 patients with pathologically confirmed HPC were analyzed retrospectively. chi‐square test logistic regression used for statistical analysis. Results RPLN 17.0%, highest rate 36.4% found pharyngeal wall carcinoma. None N0 classification...
Superparamagnetic iron oxide (SPIO) acts as a negative contrast agent in magnetic resonance imaging (MRI), and is widely used clinical applications, including the diagnosis of hepatic diseases. Hepatocyte-targeted agents (MRCAs) can provide useful information for evaluating We prepared targeted nanostructured lipid carriers (MNLCs) to enhance hepatocytes targeting efficiency.In vitro characterizations MNLCs were determined by transmission electron microscopy (TEM). The cytotoxicity assay was...
To confirm the diagnostic performance of computed tomography (CT)-based texture analysis (CTTA) and magnetic resonance imaging (MRI)-based for grading cartilaginous tumors in long bones to compare these findings radiological features.Twenty-nine patients with enchondromas, 20 low-grade chondrosarcomas 16 high-grade were included retrospectively. Clinical information 9 histogram features extracted from CT, T1WI, T2WI evaluated. Binary logistic regression was performed determine predictive...
OBJECTIVE. The purpose of this study is to establish a diagnostic model for differentiating grade 3 (G3) pancreatic neuroendocrine tumors (PNETs) from ductal adenocarcinomas (PDACs) and analyze survival outcomes. MATERIALS AND METHODS. Twenty patients with G3 PNETs 58 PDACs confirmed by surgery or biopsy were retrospectively included. Demographic radiologic information was collected. Univariate analyses binary logistic regression performed identify independent factors model. An ROC curve...
Due to the increased risk of viral infection and severe shortage medical resources during pandemic COVID-19, most hospitals in epidemic areas significantly reduced non-emergency admissions services, if not closed. As a result, it has been difficult treat cancer patients on time, which adversely affects their prognosis. To address this problem, centers must develop strategic plan manage both inpatients outpatients pandemic, provide them with necessary treatment, at same time prevent spread...
To identify CT features and establish a diagnostic model for distinguishing non-ampullary duodenal neuroendocrine neoplasms (dNENs) from gastrointestinal stromal tumors (dGISTs) to analyze overall survival outcomes of all dNENs patients.This retrospective study included 98 patients with pathologically confirmed (n = 44) dGISTs 54). Clinical data characteristics were collected. Univariate analyses binary logistic regression performed independent factors between 22) The ROC curve was created...
To identify the locoregional extension of hypopharyngeal carcinoma (HPC), particularly invasion nasopharynx and skull base, metastasis level VI retropharyngeal lymph node (RPLN) by investigating computed tomography (CT) magnetic resonance (MR) images; together with radiotherapy target HPC.CT MR images 186 patients pathologically confirmed HPC between Aug 2000 Dec 2010 were analyzed retrospectively. We used χ(2) test logistic regression to analyze local regional spread determine their...
Abstract Background: Due to the increased risk of viral infection and severe shortage medical resources during pandemic COVID-19, most hospitals in epidemic areas significantly reduced non-emergency admissions services, if not closed. As a result, it has been difficult treat cancer patients on time, which adversely affects their prognosis. To address this problem, centers must develop strategic plan manage both inpatients outpatients pandemic, provide them with necessary treatment, at same...
Objective To investigate the resting-state functional connectivity between two hemispheres in primary insomnia(PI) using voxel-mirrored homotopic connectivity(VMHC) based on restingstate MRI(fMRI).Methods Eighteen PI patients and 19 healthy volunteers matched for age sex underwent fMRI scans a 1.5T scanner.Pittsburgh sleep quality index(PSQI) was performed all subjects.The data pre-processed by SPM 8 then VMHC values were calculated REST software.The groups compared two-sample t-test.The...
Abstract Background: Due to the increased risk of viral infection and severe shortage medical resources during pandemic COVID-19, most hospitals in epidemic areas significantly reduced non-emergency admissions services, if not closed. As a result, it has been difficult treat cancer patients on time, which adversely affects their prognosis. To address this problem, centers must develop strategic plan manage both inpatients outpatients pandemic, provide them with necessary treatment, at same...
Abstract Background: Due to the increased risk of viral infection and severe shortage medical resources during pandemic COVID-19, most hospitals in epidemic areas significantly reduced non-emergency admissions services, if not closed. As a result, it has been difficult treat cancer patients on time, which adversely affects their prognosis. To address this problem, centers must develop strategic plan manage both inpatients outpatients pandemic, provide them with necessary treatment, at same...
Abstract Background: Due to the increased risk of viral infection and severe shortage medical resources during pandemic COVID-19, most hospitals in epidemic areas significantly reduced non-emergency admissions services, if not closed. As a result, it has been difficult treat cancer patients on time, which adversely affects their prognosis. To address this problem, centers must develop strategic plan manage both inpatients outpatients pandemic, provide them with necessary treatment, at same...