A5046518576- Cardiac Imaging and Diagnostics
- Advanced X-ray and CT Imaging
- Advanced MRI Techniques and Applications
- Coronary Interventions and Diagnostics
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Cardiovascular Function and Risk Factors
- Acute Myocardial Infarction Research
- Cardiovascular Disease and Adiposity
- Cerebrovascular and Carotid Artery Diseases
- Radiomics and Machine Learning in Medical Imaging
- Coronary Artery Anomalies
- Cardiac Valve Diseases and Treatments
- Cardiac electrophysiology and arrhythmias
- Cardiac, Anesthesia and Surgical Outcomes
- Cardiac Arrhythmias and Treatments
- Cardiac pacing and defibrillation studies
- Cardiomyopathy and Myosin Studies
- Cardiac Structural Anomalies and Repair
- Radiopharmaceutical Chemistry and Applications
- Nitric Oxide and Endothelin Effects
- Lipoproteins and Cardiovascular Health
- Heart Rate Variability and Autonomic Control
- Cardiovascular Effects of Exercise
- Prostate Cancer Treatment and Research
University Hospital of Zurich
2016-2025
University of Zurich
2016-2025
Cedars-Sinai Medical Center
2011-2024
Alberta Hospital Edmonton
2024
InfectoGnostics Research Campus Jena
2023
Technical University of Darmstadt
2022
University of Kassel
2022
Leiden University Medical Center
2009-2021
Swiss National Science Foundation
2005-2020
OPO-Stiftung
2020
The ESC Guidelines represent the views of and were arrived at after careful consideration available evidence time they written.Health professionals are encouraged to take them fully into account when exercising their clinical judgement.The guidelines do not, however, override individual responsibility health make appropriate decisions in circumstances patients, consultation with that patient, where necessary patient's guardian or carer.It is also professional's verify rules regulations...
Traditional prognostic risk assessment in patients undergoing non-invasive imaging is based upon a limited selection of clinical and findings. Machine learning (ML) can consider greater number complexity variables. Therefore, we investigated the feasibility accuracy ML to predict 5-year all-cause mortality (ACM) coronary computed tomographic angiography (CCTA), compared performance existing or CCTA metrics. The analysis included 10 030 with suspected artery disease follow-up from COronary CT...
To determine the feasibility of prospective electrocardiogram (ECG)-gating to achieve low-dose computed tomography coronary angiography (CTCA). Forty-one consecutive patients with suspected (n = 35) or known artery disease 6) underwent 64-slice CTCA using ECG-gating. Individual radiation dose exposure was estimated from dose-length product. Two independent readers semi-quantitatively assessed overall image quality on a five-point scale and measured vessel attenuation in each segment. One...
The aim of this study was to assess the diagnostic accuracy dual-source computed tomography (DSCT) for evaluation coronary artery disease (CAD) in a population with extensive calcifications without heart rate control. Thirty patients (24 male, 6 female, mean age 63.1+/-11.3 years) high pre-test probability CAD underwent DSCT angiography and invasive (ICA) within 14+/-9 days. No beta-blockers were administered prior scan. Two readers independently assessed image quality all segments diameter...
Background— The choice of imaging techniques in patients with suspected coronary artery disease (CAD) varies between countries, regions, and hospitals. This prospective, multicenter, comparative effectiveness study was designed to assess the relative accuracy commonly used for identifying significant CAD. Methods Results— A total 475 stable chest pain intermediate likelihood CAD underwent computed tomographic angiography stress myocardial perfusion by single photon emission tomography or...
To evaluate prospectively the effect of average heart rate and variability on image quality at 64-section computed tomographic (CT) coronary angiography.The study protocol had local ethics committee approval; written informed consent was obtained. There were 125 patients (45 women, 80 men; mean age, 59.9 years +/- 12.9 [standard deviation]; 79 receiving beta-blockers) who underwent CT angiography with retrospective electrocardiographic gating. Data sets reconstructed in 5% steps from 20% to...
Since the publication of European Association Nuclear Medicine (EANM) procedural guidelines for radionuclide myocardial perfusion imaging (MPI) in 2005, many small and some larger steps progress have been made, improving MPI procedures. In this paper, major changes from updated 2015 are highlighted, focusing on important related to new instrumentation with improved image information possibility reduce radiation exposure, which is further discussed relation recent developments International...
Background— Guidelines for the management of patients with suspected coronary artery disease (CAD) rely on age, sex, and angina typicality–based pretest probabilities angiographically significant CAD derived from invasive angiography (guideline probabilities). Reliability guideline has not been investigated in referred to noninvasive testing. Methods Results— We identified 14048 consecutive who underwent computed tomographic angiography. Angina typicality was recorded use accepted criteria....
Background— The predictive value of coronary computed tomographic angiography (cCTA) in subjects without chest pain syndrome (CPS) has not been established. We investigated the prognostic artery disease detection by cCTA and determined incremental risk stratification benefit findings compared with clinical factor scoring calcium (CACS) for individuals CPS. Methods Results— An open-label, 12-center, 6-country observational registry 27 125 consecutive patients undergoing CACS was queried, 7590...
Preamble……2 I.Introduction……2 II.Goals……2 III.Definitions……3 IV. Common clinical applications……3 V. Qualifications and responsibilities of personnel (in the United States)……3 1. Physicians……3 SPECT/CT cardiac radionuclide imaging……3 2
Symptom-based pretest probability scores that estimate the likelihood of obstructive coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to develop a machine learning (ML) model, utilizing clinical factors and calcium score (CACS), predict presence CAD on computed tomography angiography (CCTA).