A5103282483- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Coronary Interventions and Diagnostics
- Advanced X-ray and CT Imaging
- Cardiovascular Function and Risk Factors
- Acute Myocardial Infarction Research
- Air Quality and Health Impacts
- Cardiac Valve Diseases and Treatments
- Cardiovascular Disease and Adiposity
- Cerebrovascular and Carotid Artery Diseases
- Climate Change and Health Impacts
- Ultrasound and Hyperthermia Applications
- Medical Imaging Techniques and Applications
- Energy and Environment Impacts
- Radiation Dose and Imaging
- Cardiac electrophysiology and arrhythmias
- Air Quality Monitoring and Forecasting
- Neuroinflammation and Neurodegeneration Mechanisms
- Atomic and Subatomic Physics Research
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Congenital Heart Disease Studies
- Artificial Intelligence in Healthcare and Education
- Cardiac pacing and defibrillation studies
Capital Medical University
2015-2025
Beijing Friendship Hospital
2020-2025
University of South China
2025
Chengdu University of Traditional Chinese Medicine
2022-2024
Tianjin Medical University
2024
Inspection Technologies (United Kingdom)
2024
Shanghai Municipal Center For Disease Control Prevention
2024
Beijing Anzhen Hospital
2014-2023
John Jay College of Criminal Justice
2023
The Graduate Center, CUNY
2023
Purpose The aim of this study was to implement and optimize a novel application diffusion‐prepared balanced steady‐state free precession (bSSFP) perform in vivo cardiac diffusion‐weighted MRI. Theory Methods Diffusion‐prepared sequences have the flexibility diffusion encode with multi‐shot image readout. preparation optimized reduce sensitivity bulk motion second order compensation (M1M2). readout consisted three‐dimensional (3D) centric‐encoded segmented bSSFP acquisition that incorporated...
The aim of this study is to establish and validate an effective prognostic nomogram in patients with AFP-negative hepatocellular carcinoma (HCC). was based on a primary cohort that consisted 419 clinicopathologically diagnosed HCC, all the data gathered from 2008 2014 Sun Yat-sen University Cancer Center. All model factors were determined by univariate multivariate Cox hazard analysis. concordance index (C-index) calibration curve used determine predictive accuracy discriminative ability...
Abstract The purpose of this study was to find the circulating microRNAs (miRNAs) co-related with severity coronary artery calcification (CAC) and testify whether selected miRNAs could reflect obstructive disease in symptomatic patients. Patients chest pain moderated risk for (CAD) were characterized calcium score (CACS) from cardiac computed tomography (CT). We analyzed plasma miRNA levels clinical matched 11 CAC (CACS > 100) 6 non-CAC = 0) subjects by microarray profile. Microarray...
Abstract Background There are few studies on the effects of air pollutants acute lower respiratory tract infections (ALRI) in children. Here, we investigated relationship fine particulate matter (PM 2.5 ), inhalable 10 sulfur dioxide (SO 2 and nitrogen (NO ) with daily number hospitalizations for ALRI children Sichuan Province, China, to estimate economic burden disease due exposure pollutants. Methods We collected records 192,079 cases childhood hospitalization between January 1, 2017...
(1) Background: Patients with acute myocardial infarction (AMI) still experience many major adverse cardiovascular events (MACEs), including infarction, heart failure, kidney coronary events, cerebrovascular and death. This retrospective study aims to assess the prognostic value of machine learning (ML) for prediction MACEs. (2) Methods: Five-hundred patients diagnosed AMI who had undergone successful percutaneous intervention were included in study. Logistic regression (LR) analysis was...
<sec> <title>BACKGROUND</title> Cancer survivors often face significant psychological challenges, including depression, anxiety, and social isolation, exacerbated by treatment side effects. Traditional psychosocial support systems are usually inaccessible, underfunded, or not tailored to the needs of underserved populations, limiting their effectiveness. Virtual communities have emerged as an alternative, providing emotional opportunities for information exchange. However, implementation...
Purpose To evaluate the diagnostic performance of self-navigated whole-heart coronary 3-T magnetic resonance (MR) angiography by using conventional invasive (ICA) as reference gold standard. Materials and Methods This study was approved local ethics committee. Written informed consent obtained from each patient before study. Thirty-nine consecutive patients underwent MR later ICA. Coronary performed with a imager contrast agent enhancement during free breathing affine motion correction...
Abstract Background Alzheimer's disease (AD) and other forms of dementia are the seventh leading cause death. Studies discern inclusion air pollution among modifiable risk factors for dementia, while limited studies China. This study aims to examine short-term association between airborne particulate matter (PM) hospitalizations AD, including economic costs in Methods A total 4975 cases AD patients hospitalized from 2017 2019, were collected nine city 411 medical institutions Sichuan...
To evaluate the ability of black-blood coronary arterial wall MRI to identify artery plaque, using intravascular ultrasound (IVUS) as golden standard.Nineteen consecutive patients underwent IVUS and MRI. Cross-sectional images were acquired on lesion from ostium middle segment continuously. The vessel cross-sectional area (CSA), luminal CSA, plaque burden, contrast-to-noise ratio (CNR) signal-to-noise (SNR) measured in each slice which was then compared with images.Sixteen 19 completed MRA...
The aim of this study was to investigate the ability a pixel-to-pixel generative adversarial network (GAN) remove motion artefacts in coronary CT angiography (CCTA) images.Ninety-seven patients who underwent single-cardiac-cycle multiphase CCTA were retrospectively included study, and raw images SnapShot Freeze (SSF) acquired. right artery (RCA) investigated because its are most prominent among all arteries. acquired data divided into training dataset 40 patients, verification 30 test 27...
BACKGROUND: Matrix-remodeling associated 5 (MXRA5) has recently been one of the frequently mutated gene but its role in non-small cell lung cancer (NSCLC) remains unclear. OBJECTIVE: To identify whether MXRA5 could be applied as a novel prognostic marker for NSCLC. METHODS AND RESULTS: In this stu dy, we proved that mRNA and protein expression 166 NSCLC patients' tissues by Quantitative Real-Time PCR immunohistochemical staining respectively. Moreover, correlation between clinicopathological...
Aims: In this retrospective, multi-center study, we aimed to estimate the diagnostic accuracy and generalizability of an established deep learning (DL)-based fully automated algorithm in detecting coronary stenosis on computed tomography angiography (CCTA). Methods results: A total 527 patients (33.0% female, mean age: 62.2 ± 10.2 years) with suspected artery disease (CAD) who underwent CCTA invasive (ICA) were enrolled from 27 hospitals January 2016 August 2019. Using ICA as a standard...
Abstract Background To investigate the influence of artificial intelligence (AI) based on deep learning diagnostic performance and consistency inexperienced cardiovascular radiologists. Methods We enrolled 196 patents who had undergone both coronary computed tomography angiography (CCTA) invasive (ICA) within 6 months. Four readers with less experience (Reader 1–Reader 4) two radiologists (level II, Reader 5 6) evaluated all images for ≥ 50% artery stenosis, ICA as gold standard. 3 4...
Cardiovascular disease (CVD) is one of the most serious health disorders with increasing prevalence and high morbidity mortality. Although diagnosis treatment CVD have achieved huge breakthrough in recent years, it still needs additional enhancements, which result demand for new techniques. Artificial intelligence (AI) an emerging science field that has been widely used to guide diseases diagnosis, evaluation treatment. AI techniques are promising explore novel pathogenic genes phenotype,...