A5046307014- Cardiac Imaging and Diagnostics
- Coronary Interventions and Diagnostics
- Advanced X-ray and CT Imaging
- Cardiovascular Function and Risk Factors
- Cardiovascular Disease and Adiposity
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Cardiovascular Effects of Exercise
- Venous Thromboembolism Diagnosis and Management
- Coronary Artery Anomalies
- Radiomics and Machine Learning in Medical Imaging
- Acute Myocardial Infarction Research
- Lipoproteins and Cardiovascular Health
Shanghai Jiao Tong University
2021-2025
Shanghai First People's Hospital
2021-2025
To investigate the prognostic value of computed tomography fractional flow reserve (CT-FFR) in patients with diabetes and to establish a risk stratification model for major adverse cardiac event (MACE).Diabetic intermediate pre-test probability coronary artery disease were prospectively enrolled. All referred angiography followed up at least 2 years. In training cohort comprising 957 patients, two models developed: model1 inclusion clinical conventional imaging parameters, model2...
To investigate the incidence of microvascular myocardial ischemia in diabetic patients without obstructive coronary artery disease (CAD) and its relationship with angina.
BACKGROUND: Computed tomography (CT) fractional flow reserve (FFR)–derived functional SYNTAX score (FSS CT-FFR ) is a valuable method for guiding treatment strategy in patients with multivessel coronary artery disease. Dynamic CT myocardial perfusion imaging (CT-MPI) demonstrates higher diagnostic accuracy than identifying hemodynamically significant We aimed to evaluate the feasibility of CT-MPI–derived FSS CT-MPI reference invasive FSS. METHODS: In this retrospective study, disease who...
Background: Coronary computed tomography (CT) angiography imaging is useful for the preprocedural evaluation of chronic total occlusion (CTO). However, predictive value CT radiomics model successful percutaneous coronary intervention (PCI) has not been studied. We aimed to develop and validate a predicting PCI success CTOs. Methods: In this retrospective study, radiomics-based was developed on training internal validation sets 202 98 patients with CTO, collected from 1 tertiary hospital. The...
Epicardial adipose tissue (EAT) is a key aspect in the investigation of cardiac pathophysiology. We sought to develop deep learning (DL) model for fully automatic extraction and quantification EAT through pulmonary computed tomography venography (PCTV) images.In this retrospective study, we included 128 patients with atrial fibrillation PCTV from 2 hospitals. A DL automated segmentation was developed training set 51 validation 13 hospital A. The algorithm further validated using an internal...
We aimed to optimize the diagnostic strategy for dynamic computed tomography myocardial perfusion imaging (CT-MPI) and CT fractional flow reserve (CT-FFR) in evaluation of coronary artery disease (CAD).Patients who had undergone angiography (CCTA) + CT-MPI invasive (ICA)/FFR within a 4-week period were retrospectively included. Lesion-specific characteristics recorded, multivariate logistic regression was performed determine predictors mismatched findings with ICA results. An optimized...
Coronary computed tomography angiography (CCTA) combined with dynamic CT myocardial perfusion imaging (CT-MPI) and CCTA fractional flow reserve (CT-FFR) are both expected to be efficient one-stop shop strategies guide clinical management. The aim of the study is determine which these two methods has superiority in terms guiding treatment patients intermediate high pretest probability coronary artery disease (CAD).CT-PRECISION (Computed Tomography PeRfusion vErsus Computed derived reServe:...