A5019935110- Intracranial Aneurysms: Treatment and Complications
- Advanced X-ray and CT Imaging
- Cerebrovascular and Carotid Artery Diseases
- Radiation Dose and Imaging
- Vascular Malformations Diagnosis and Treatment
- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Orthopedic Surgery and Rehabilitation
- Traumatic Brain Injury and Neurovascular Disturbances
- Medical Imaging Techniques and Applications
- Cardiac tumors and thrombi
- Cardiac Valve Diseases and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Acute Ischemic Stroke Management
- Meningioma and schwannoma management
- Moyamoya disease diagnosis and treatment
- Brain Metastases and Treatment
- Glioma Diagnosis and Treatment
- Aortic Disease and Treatment Approaches
- Cardiac Structural Anomalies and Repair
- Cardiovascular Function and Risk Factors
- Orthopedic Infections and Treatments
- Dental Radiography and Imaging
- Atrial Fibrillation Management and Outcomes
- Viral Infections and Immunology Research
University Hospital Cologne
2019-2025
University of Cologne
2019-2025
Centrum für Integrierte Onkologie
2020-2025
Weatherford College
2021
Philips (Finland)
2021
Klinik und Poliklinik für Psychosomatik und Psychotherapie
2020
University of Würzburg
2016
Heinrich Heine University Düsseldorf
2016
Background Errors in radiology reports may occur because of resident-to-attending discrepancies, speech recognition inaccuracies, and large workload. Large language models, such as GPT-4 (ChatGPT; OpenAI), assist generating reports. Purpose To assess effectiveness identifying common errors reports, focusing on performance, time, cost-efficiency. Materials Methods In this retrospective study, 200 (radiography cross-sectional imaging [CT MRI]) were compiled between June 2023 December at one...
Abstract In aneurysmal subarachnoid hemorrhage (aSAH), accurate diagnosis of aneurysm is essential for subsequent treatment to prevent rebleeding. However, detection proves be challenging and time-consuming. The purpose this study was develop evaluate a deep learning model (DLM) automatically detect segment aneurysms in patients with aSAH on computed tomography angiography. retrospective single-center study, three different DLMs were trained 68 79 treated (2016–2017) using...
Background: Recently, a disease modifying therapy has become available for transthyretin amyloid cardiomyopathy (ATTR-CM). A validated monitoring concept of treatment is lacking, but current expert consensus recommends three clinical domains (clinical, biomarker and ECG/imaging) assessed by several measurable features to define progression. Methods: We retrospectively analyzed data wild-type ATTR-CM patients initiating tafamidis within our local routine protocol at baseline 6-months...
Malignant melanoma is an aggressive skin cancer in which brain metastases are common. Our aim was to establish and evaluate a deep learning model for fully automated detection segmentation of patients with malignant using clinical routine MR imaging.Sixty-nine total 135 at initial diagnosis available multiparametric imaging datasets (T1-/T2-weighted, T1-weighted gadolinium contrast-enhanced, FLAIR) were included. A previously established architecture (3D convolutional neural network;...
Non-small cell lung cancer (NSCLC) is the most common tumor entity spreading to brain and up 50% of patients develop metastases (BMs). Detection BMs on MRI challenging with an inherent risk missed diagnosis.To train evaluate a deep learning model (DLM) for fully automated detection 3D segmentation in NSCLC clinical routine MRI.Retrospective.Ninety-eight 315 pretreatment MRI, divided into training (66 patients, 248 BMs) independent test (17 67 control (15 0 cohorts.T1 -/T2 -weighted, T1...
The purpose of the present study was evaluation image quality polyenergetic and monoenergetic reconstructions (PERs MERs) CT angiographies (CTAs) head neck acquired with novel photon counting (PCCT) method in clinical routine.Thirty-seven patients were enrolled this retrospective study. Quantitative parameters extracranial, intracranial cerebral arteries evaluated for PER MER (40-120 keV). Additionally, two radiologists rated perceived quality.The mean CTDIvol used PCCT 8.31 ± 1.19 mGy....
The goal of this experimental study was to quantify the influence helical pitch and gantry rotation time on image quality file size in ultrahigh-resolution photon-counting CT (UHR-PCCT). Cervical lumbar spine, pelvis, upper legs two fresh-frozen cadaveric specimens were subjected nine dose-matched UHR-PCCT scan protocols employing a collimation 120 × 0.2 mm with varying (0.3/1.0/1.2) (0.25/0.5/1.0 s). Image analyzed independently by five radiologists further substantiated placing normed...
Diagnosing myocarditis relies on multimodal data, including cardiovascular magnetic resonance (CMR), clinical symptoms, and blood values. The correct interpretation integration of CMR findings require radiological expertise knowledge. We aimed to investigate the performance Generative Pre-trained Transformer 4 (GPT-4), a large language model, for report-based medical decision-making in context cardiac MRI suspected myocarditis.
Abstract Background We evaluated the acceleration of a three-dimensional isotropic flow-independent magnetic resonance angiography (MRA) (relaxation-enhanced without contrast and triggering, REACT) neck arteries using compressed SENSE (CS) combined with deep learning (adaptive intelligence, AI)-based reconstruction (CS-AI). Methods Thirty-four volunteers received 3-T REACT MRA, acquired threefold: (i) CS factor 7 (CS7), scan time 1:20 min:s; (ii) 10 (CS10), 0:55 (iii) CS-AI (CS10-AI), min:s....
Abstract Background Midostaurin is a multikinase inhibitor for the treatment of Fms-like tyrosine 3 (FLT3)-mutated acute myeloid leukaemia (AML). Cardiac adverse events like QTc-prolongation, pericardial effusion, and congestive heart failure have been described. Inflammatory diseases associated with midostaurin are rarely reported. Case summary A 24-year-old man newly diagnosed AML FLT3-ITD mutation was treated intensive remission-induction chemotherapy midostaurin. After 5 days...
Objective Relaxation-Enhanced Angiography without Contrast and Triggering (REACT) is a novel 3D isotropic flow-independent non-contrast-enhanced MRA (non-CE-MRA) has shown promising results in imaging of the thoracic aorta, primarily patients prior aortic surgery. The purpose this study was to evaluate performance REACT after surgery root and/or ascending aorta by performing an intraindividual comparison CE-MRA. Material methods This retrospective single center included 58 MRI studies 34...
In stroke magnetic resonance imaging (MRI), contrast-enhanced angiography (CE-MRA) is the clinical standard to depict extracranial arteries but native MRA techniques are of increased interest facilitate practice. The purpose this study was assess detection internal carotid artery (ICA) stenosis and plaques as well image quality cervical between a novel flow-independent relaxation-enhanced without contrast triggering (REACT) sequence CE-MRA in acute ischemic (AIS).In retrospective,...