A5008312316- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Advanced X-ray and CT Imaging
- COVID-19 diagnosis using AI
- Dementia and Cognitive Impairment Research
- Inflammatory Biomarkers in Disease Prognosis
- COVID-19 Clinical Research Studies
- Phonocardiography and Auscultation Techniques
- Long-Term Effects of COVID-19
- Atomic and Subatomic Physics Research
- Medical Imaging and Pathology Studies
- COVID-19 and healthcare impacts
- Migraine and Headache Studies
- Inhalation and Respiratory Drug Delivery
- Medical Imaging Techniques and Applications
- Parkinson's Disease Mechanisms and Treatments
- Pulmonary Hypertension Research and Treatments
- Frailty in Older Adults
- Nutritional Studies and Diet
- Genetics, Aging, and Longevity in Model Organisms
- Health and Wellbeing Research
- Neurological diseases and metabolism
- Impact of Technology on Adolescents
- Ultrasound in Clinical Applications
Shanghai Changzheng Hospital
2021-2025
Second Military Medical University
2018-2024
Philips (China)
2023
Wuhan Puai Hospital
2023
Wuhan University
2023
Xuzhou Medical College
2023
Shanghai University of Finance and Economics
2023
Weifang Medical University
2023
United States Department of the Navy
2023
East China Jiaotong University
2022
The restriction of numerous sectors society and the uncertainty surrounding development COVID-19 pandemic have resulted in adverse psychological states to college students isolated at home. In this study, we explored mediating role fatigue effects epidemic rumination resilience on depressive symptoms as well how may interact with one another. A large sample Chinese ( N = 1,293) completed measures rumination, resilience, fatigue, symptoms. Results indicated symptomology was positively...
Abstract Background Computed tomography (CT) plays a great role in characterizing and quantifying changes lung structure function of chronic obstructive pulmonary disease (COPD). This study aimed to explore the performance CT-based whole radiomic discriminating COPD patients non-COPD patients. Methods retrospective was performed on 2785 who underwent examination 5 hospitals were divided into group group. The features volume extracted. Least absolute shrinkage selection operator (LASSO)...
Background Spread through air spaces (STAS) in lung adenocarcinoma means different treatment and worse prognosis. Purpose To construct a radiomics model based on CT scans to predict the presence of STAS stage IA adenocarcinoma, compared with traditional clinical model. Material Methods The study included 317 patients (median age = 57.21 years; range 45.84–68.61 years) pathologically confirmed adenocarcinoma. In total, 122 (38.5%) were diagnosed by pathology after operation. Two experienced...
The complex relationship between frailty and schizophrenia has yet to be fully understood. This study aims clarify their by investigating genetic links. We hypothesize a shared architecture bidirectional causal the two conditions. Utilizing summary data from European genome-wide association studies, we analyzed associations through global local correlations, genomic loci, tissue enrichments, functional genes. Bidirectional Mendelian Randomization (MR) was employed infer causality. Our...
To investigate the performance of two diagnostic models based on CT-derived lung and mediastinum radiomics nomograms for identifying cardiovascular disease (CVD) in Chronic Obstructive Pulmonary Disease (COPD) patients. Hospitalized participants with COPD were retrospectively recruited between September 2015 April 2023. Clinical data visual coronary artery calcium score (CACS) collected. Radiomics features extracted. Least absolute shrinkage selection operator (LASSO) logistic regression was...
To develop and validate a model for predicting chronic obstructive pulmonary disease (COPD) in patients with lung cancer based on computed tomography (CT) radiomic signatures clinical imaging features.We retrospectively enrolled 443 who underwent function test as the primary cohort. They were randomly assigned to training (n = 311) or validation 132) set 7:3 ratio. Additionally, an independent external cohort of 54 was evaluated. The nodule signature constructed using least absolute...
Purpose: To explore the morphological alterations in small pulmonary vessels populations at high risk for chronic obstructive disease (COPD) and smokers based on multiple computed tomography (CT) quantitative parameters. Patients Methods: A total of 1969 Three Major Chest Diseases Screening Study participants with available demographic data smoking history who underwent low-dose chest CT from 2018 to 2020 were included. All subjects divided into normal, COPD, COPD groups according their...
Sensory impairments and eye diseases increase the risk of cognitive decline, but little is known regarding their influence on function in elderly Chinese underlying mechanisms. We aimed to explore these mechanism from social participation perspective.We selected 2876 respondents aged ≥60 China Health Retirement Longitudinal Study (CHARLS) conducted 2013, 2015, 2018. assessed sensory based self-reported responses, evaluated its relation by fixed-effects regression mediation effect analysis...
Background: Radiomics and artificial intelligence approaches have been developed to predict chronic obstructive pulmonary disease (COPD), but it is still unclear which approach has the best performance. Therefore, we established five prediction models that employed deep-learning (DL) radiomics-based machine-learning (ML) identify COPD on low-dose computed tomography (LDCT) images compared relative performance of different find model for identifying COPD.
Preoperative accurate judgment of the degree invasiveness in subpleural ground-glass lung adenocarcinoma (LUAD) with a consolidation-to-tumor ratio (CTR) ≤50% is very important for choice surgical timing and planning. This study aims to investigate performance intratumoral peritumoral radiomics combined computed tomography (CT) features predicting LUAD presenting as nodule (GGN) CTR ≤50%.
Purpose: To explore optimal threshold of FEV1% predicted value (FEV1%pre) for high-risk chronic obstructive pulmonary disease (COPD) using the parameter response mapping (PRM) based on machine learning classification model. Patients and Methods: A total 561 consecutive non-COPD subjects who were screened chest diseases in our hospital between August October 2018 had complete questionnaire surveys, function tests (PFT), paired respiratory CT scans enrolled retrospectively. The quantitative...
Despite the known benefits of physical activity (PA) on cognitive function, specific dimensions PA that are associated with function require further research in China. We aimed to explore patterns and elucidate association between different levels middle aged elderly Chinese individuals.A total 8,023 participants ≥45 years were selected from China Health Retirement Longitudinal Study. The intensity was categorized as: vigorous (VPA), moderate (MPA), light (LPA). associations frequency...
Purpose: To develop a novel method for calculating small airway resistance using computational fluid dynamics (CFD) based on CT data and evaluate its value to identify COPD. Patients Methods: 24 subjects who underwent chest scans pulmonary function tests between August 2020 December were enrolled retrospectively. Subjects divided into three groups: normal (10), high-risk (6), COPD (8). The from the trachea down sixth generation of bronchioles was reconstructed by 3D slicer. (R SA ) R as...
To explore the effects of physical activity on anxiety levels in college students, as well to examine mediating role emotion regulation.
Purpose: Reliable prediction of volume doubling time (VDT) is essential for the personalized management pulmonary ground-glass nodules (GGNs). We aimed to determine optimal VDT method by comparing different machine learning methods only based on baseline chest computed tomography (CT) images. Materials and Methods: Seven classical were evaluated in terms their stability performance prediction. The VDT, calculated preoperative CT, was divided into 2 groups with a cutoff value 400 days. A...
Abstract Importance Frailty was associated with elevated risks of various diseases and could induce many adverse outcomes in schizophrenia patients. However, the association causality between frailty are still unclear. Objective To investigate genetic schizophrenia. Design, Setting, Participants We obtained summary data related to from large-scale genome-wide studies European population. Genetic analyses were investigated 5 aspects: global correlation, local shared genomic loci, overlapped...