Publications by authors named "J C Voran"

Background: Heavy calcifications in severe aortic stenosis (AS) pose a major challenge in patients undergoing transcatheter aortic valve replacement (TAVR). Only a few studies have addressed the performance of different transcatheter heart valves (THV) in this subgroup of patients.

Objectives: We aimed to investigate the outcomes of the self-expanding Medtronic CoreValve Evolut valve frame and the balloon-expandable Edwards SAPIEN-3/3 Ultra THV in this challenging patient population.

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Background: LAAO is an interventional, prophylactic treatment to prevent cardioembolic stroke in patients with non-valvular atrial fibrillation.

Aims: The aim of this study was to assess gender differences and age-related in-hospital course of all patients undergoing left atrial appendage occlusion (LAAO) in Germany.

Methods: The Research Data Center of the Federal Statistical Office accessed interrogation of its Diagnosis Related Groups (DRG) statistics database.

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Targeted gene delivery to vascular smooth muscle cells (VSMCs) could prevent or improve a variety of diseases affecting the vasculature and particularly the aorta. Thus, we aimed to develop a delivery vector that efficiently targets VSMCs. We selected engineered adeno-associated virus (AAV) capsids from a random AAV capsid library and tested the top enriched motifs in parallel screening through individual barcoding.

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The integration of machine learning into the domain of radiomics has revolutionized the approach to personalized medicine, particularly in oncology. Our research presents RadTA (RADiomics Trend Analysis), a novel framework developed to facilitate the automatic analysis of quantitative imaging biomarkers (QIBs) from time-series CT volumes. RadTA is designed to bridge a technical gap for medical experts and enable sophisticated radiomic analyses without deep learning expertise.

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This comparative study examines the transition from isolated registries to a consolidated data-centric approach at University Hospital Schleswig-Holstein, focusing on migrating the Atrioventricular Valve Intervention Registry (AVIR) from REDCap to a Medical Data Integration Center based openEHR registry. Through qualitative analysis, we identify key disparities and strategic decisions guiding this transition. While REDCap has historical utility, its limitations in automated data integration and traceability highlight the advantages of a data-centric approach, which include streamlined data (integration) management at a single-point-of-truth based on e.

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