A5034218505- Cardiac Imaging and Diagnostics
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Coronary Interventions and Diagnostics
- Medical Imaging Techniques and Applications
- Ultrasound in Clinical Applications
- Venous Thromboembolism Diagnosis and Management
- Acute Myocardial Infarction Research
- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
- Radiomics and Machine Learning in Medical Imaging
- Cardiovascular Disease and Adiposity
- Cerebrovascular and Carotid Artery Diseases
- Infective Endocarditis Diagnosis and Management
- Coronary Artery Anomalies
- Congenital Heart Disease Studies
- Lung Cancer Diagnosis and Treatment
- Radiology practices and education
- Photoacoustic and Ultrasonic Imaging
- Cardiac Structural Anomalies and Repair
- Atomic and Subatomic Physics Research
- Acute Ischemic Stroke Management
- Aortic Disease and Treatment Approaches
- Cardiovascular Effects of Exercise
Medical University of South Carolina
2016-2025
Ludwig-Maximilians-Universität München
1999-2024
Johannes Gutenberg University Mainz
2021-2024
Siemens (Germany)
2002-2024
German Centre for Cardiovascular Research
2022-2024
University Medical Center of the Johannes Gutenberg University Mainz
2021-2024
Elucid Bioimaging
2019-2023
Nanjing University
2014-2023
Nanjing General Hospital of Nanjing Military Command
2014-2023
Siemens Healthcare (United States)
2014-2023
Owing to recent advances in computing power, iterative reconstruction (IR) algorithms have become a clinically viable option computed tomographic (CT) imaging. Substantial evidence is accumulating about the advantages of IR over established analytical methods, such as filtered back projection. improves image quality through cyclic processing. Although all available solutions share common mechanism artifact reduction and/or potential for radiation dose savings, chiefly due noise suppression,...
The authors introduce a method for cardiac investigations by using electrocardiographically gated spiral scanning with four-section computed tomographic system. Three-dimensional images were reconstructed means of 250-msec temporal resolution and continuous volume coverage dedicated multisection reconstruction algorithm. Motion-free thin-section acquired thin sections overlapping image increments within single breath hold. Data segment shifts in time allowed multiphase imaging.
In patients with acute pulmonary embolism (PE), rapid and accurate risk assessment is paramount in selecting the appropriate treatment strategy. Right ventricular (RV) enlargement on chest CT has previously been shown to correlate an unstable hospital course, but its role as a predictor of death unknown.We evaluated 431 consecutive (mean age, 59+/-16 years; 55% women) PE confirmed by multidetector-row CT. With use multiplanar reformats axial data, 4-chamber (4-CH) views were reconstructed...
The aim was to validate, update, and extend the Diamond–Forrester model for estimating probability of obstructive coronary artery disease (CAD) in a contemporary cohort. Prospectively collected data from 14 hospitals on patients with chest pain without history CAD referred conventional angiography (CCA) were used. Primary outcome CAD, defined as ≥50% stenosis one or more vessels CCA. validity assessed using calibration plots, calibration-in-the-large, recalibration logistic regression....
Background: Coronary computed tomographic angiography (CTA) is a reliable modality to detect coronary artery disease. However, CTA generally overestimates stenosis severity compared with invasive angiography, and angiographic does not necessarily imply hemodynamic relevance when fractional flow reserve (FFR) used as reference. CTA-based FFR (CT-FFR), using computational fluid dynamics (CFD), improves the correlation results but computationally demanding. More recently, new machine-learning...
<b>Objectives</b> To develop prediction models that better estimate the pretest probability of coronary artery disease in low prevalence populations. <b>Design </b>Retrospective pooled analysis individual patient data. <b>Setting </b>18 hospitals Europe and United States. <b>Participants</b> Patients with stable chest pain without evidence for previous disease, if they were referred computed tomography (CT) based angiography or catheter (indicated as high settings, respectively). <b>Main...
Purpose To compare two technical approaches for determination of coronary computed tomography (CT) angiography–derived fractional flow reserve (FFR)—FFR derived from CT angiography based on computational fluid dynamics (hereafter, FFRCFD) and FFR machine learning algorithm FFRML)—against quantitative (QCA). Materials Methods A total 85 patients (mean age, 62 years ± 11 [standard deviation]; 62% men) who had undergone followed by invasive were included in this single-center retrospective...
Invasive coronary angiography (ICA) with measurement of fractional flow reserve (FFR) by means a pressure wire technique is the established reference standard for functional assessment artery disease (CAD) ( 1 , 2 ). Coronary computed tomographic (CT) has emerged as noninvasive method direct CAD and plaque characterization high diagnostic accuracy compared ICA 3 4 However, solely anatomic provided both CT poor discriminatory power ischemia-inducing lesions. FFR derived from (FFRCT) data sets...
Abstract Intracranial aneurysm is a common life-threatening disease. Computed tomography angiography recommended as the standard diagnosis tool; yet, interpretation can be time-consuming and challenging. We present specific deep-learning-based model trained on 1,177 digital subtraction verified bone-removal computed cases. The has good tolerance to image quality tested with different manufacturers. Simulated real-world studies are conducted in consecutive internal external cohorts, which it...
Clinical reads of coronary computed tomography angiography (CTA), especially by less experienced readers, may result in overestimation artery disease stenosis severity compared with expert interpretation. Artificial intelligence (AI)-based solutions applied to CTA overcome these limitations.This study the performance for detection and grading stenoses using artificial intelligence-enabled quantitative (AI-QCT) analyses core lab-interpreted CTA, lab (QCA), invasive fractional flow reserve...
Background A noninvasive coronary CT angiography (CCTA)–based radiomics technique may facilitate the identification of vulnerable plaques and patients at risk for future adverse events. Purpose To assess whether a CCTA-based radiomic signature (RS) defined with intravascular US was associated increased major cardiac events (MACE). Materials Methods In retrospective study, an RS developed validated using as reference standard. The development data set included first undergoing CCTA then...
Background: Computed tomography–derived fractional flow reserve (CT-FFR) using on-site machine learning enables identification of both the presence coronary artery disease and vessel-specific ischemia. However, it is unclear whether CT-FFR improves clinical or economic outcomes when compared with standard care in patients stable disease. Methods: In total, 1216 an intermediate stenosis 30% to 90% on computed tomographic angiography were randomized pathway 6 Chinese medical centers. The...