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Article
Open AccessImpact of reconstruction parameters on the accuracy of myocardial extracellular volume quantification on a first-generation, photon-counting detector CT
The potential role of cardiac computed tomography (CT) has increasingly been demonstrated for the assessment of diffuse myocardial fibrosis through the quantification of extracellular volume (ECV). Photon-coun...
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Article
Highly accelerated free-breathing real-time 2D flow imaging using compressed sensing and shared velocity encoding
2D real-time (RT) phase-contrast (PC) MRI is a promising alternative to conventional PC MRI, which overcomes problems due to irregular heartbeats or poor respiratory control. This study aims to evaluate a prot...
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Article
Enhancing diagnostic precision for acute chest syndrome in sickle cell disease: insights from dual-energy CT lung perfusion map**
Acute chest syndrome (ACS) is secondary to occlusion of the pulmonary vasculature and a potentially life-threatening complication of sickle cell disease (SCD). Dual-energy CT (DECT) iodine perfusion map recons...
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Article
Prediction value of pericoronary fat attenuation index for coronary in-stent restenosis
As a novel imaging marker, pericoronary fat attenuation index (FAI) reflects the local coronary inflammation which is one of the major mechanisms for in-stent restenosis (ISR). We aimed to validate the ability...
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Article
Multiparametric cardiac magnetic resonance reveals persistent myocardial inflammation in patients with exertional heat illness
To explore the clinical potential of multiparametric cardiac magnetic resonance (CMR) in evaluating myocardial inflammation in patients with exertional heat illness (EHI).
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Article
Open AccessPhoton-counting detector CT-based virtual monoenergetic reconstructions: repeatability and reproducibility of radiomics features of an organic phantom and human myocardium
Photon-counting detector computed tomography (PCD-CT) may influence imaging characteristics for various clinical conditions due to higher signal and contrast-to-noise ratio in virtual monoenergetic images (VMI...
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Article
Impact of Cardiac Motion on coronary artery calcium scoring using a virtual non-iodine algorithm on photon-counting detector CT: a dynamic phantom study
This study assessed the impact of cardiac motion and in-vessel attenuation on coronary artery calcium (CAC) scoring using virtual non-iodine (VNI) against virtual non-contrast (VNC) reconstructions on photon-c...
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Article
A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation
Myocardial ischemia diagnosis with CT perfusion imaging (CTP) is important in coronary artery disease management. Traditional analysis procedure is time-consuming and error-prone due to the semi-manual and ope...
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Article
Stent imaging on a clinical dual-source photon-counting detector CT system—impact of luminal attenuation and sharp kernels on lumen visibility
To assess the impact of scan modes and reconstruction kernels using a novel dual-source photon-counting detector CT (PCD-CT) on lumen visibility and sharpness of different stent sizes.
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Article
Open AccessLeft atrial strain correlates with severity of cardiac involvement in Anderson-Fabry disease
Cardiac involvement in Anderson-Fabry disease (AFD) results in myocardial lipid depositions. An early diagnosis can maximize therapeutic benefit. Thus, this study aims to investigate the potential of cardiac M...
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Article
Impact of machine-learning-based coronary computed tomography angiography–derived fractional flow reserve on decision-making in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement
To evaluate feasibility and diagnostic performance of coronary CT angiography (CCTA)–derived fractional flow reserve (CT-FFR) for detection of significant coronary artery disease (CAD) and decision-making in p...
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Article
Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease
To propose a novel functional Coronary Artery Disease–Reporting and Data System (CAD-RADS) category system integrated with coronary CT angiography (CCTA)–derived fractional flow reserve (FFRCT) and to validate it...
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Article
One-year outcomes of CCTA alone versus machine learning–based FFRCT for coronary artery disease: a single-center, prospective study
To explore downstream management and outcomes of machine learning (ML)–based CT derived fractional flow reserve (FFRCT) strategy compared with an anatomical coronary computed tomography angiography (CCTA) alone a...
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Article
Time-dependent cardiac structural and functional changes after kidney transplantation: a multi-parametric cardiac magnetic resonance study
To map time-dependent cardiac structural and functional change patterns after renal transplantation (KT) using cardiac magnetic resonance (CMR).
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Article
Open AccessAutomated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning
Airspace disease as seen on chest X-rays is an important point in triage for patients initially presenting to the emergency department with suspected COVID-19 infection. The purpose of this study is to evaluat...
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Article
Additive value of epicardial adipose tissue quantification to coronary CT angiography–derived plaque characterization and CT fractional flow reserve for the prediction of lesion-specific ischemia
Epicardial adipose tissue (EAT) from coronary CT angiography (CCTA) is strongly associated with coronary artery disease (CAD). We investigated the additive value of EAT volume to coronary plaque quantification...
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Article
Correction to: Serial coronary CT angiography–derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease
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Article
In-patient care trends in peripheral artery disease in the German healthcare system over the past decade
To analyze trends of in-hospital treatment of patients admitted due to peripheral artery disease (PAD) from 2009 to 2018 with special focus on comorbidities, revascularization procedures, resulting costs, and ...
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Article
Open AccessStable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia
Machine-Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFRML) is a novel tool for the assessment of hemodynamic relevance of coronary artery stenoses. We examined the diagnostic performance of CT-...
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Artificial Intelligence-Based Evaluation of Patients with Chronic Obstructive Pulmonary Disease (COPD)
Chronic obstructive pulmonary disease (COPD) is the third leading cause of death due to noncommunicable diseases worldwide. It is characterized by chronic progressive remodeling of the airways and irreversible...
