Publications by authors named "Philipp Fortner"

Article Synopsis
  • This study examined how artificial intelligence (AI) could enhance the workflow and diagnostic accuracy in high-volume cardiac imaging centers performing coronary computed tomography angiography (CTA).
  • Researchers compared standard analysis to AI-based analysis in a group of 120 patients and found that AI significantly reduced the time needed for both CTA assessment and total reporting without affecting the accuracy of diagnoses.
  • The results indicate that implementing AI in coronary CTA can lead to a more efficient clinical workflow, which is increasingly important as the demand for these examinations rises.
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Purpose: The combined testing for coronary artery and pulmonary diseases is of clinical interest as risk factors are shared. In this study, a novel ECG-gated tin-filtered ultra-low dose chest CT protocol (GCCT) for integrated heart and lung acquisition and the applicability of artificial intelligence (AI)-based coronary artery calcium scoring were assessed.

Methods: In a clinical registry of 10481 patients undergoing heart and lung CT, GCCT was applied in 44 patients on a dual-source CT.

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Objectives: Since the safety of coronary CT angiography (CTA) is of great importance, especially with regard to widening indications and increasing morbidity, the aim of this study was to assess influencing factors.

Methods: Patients undergoing coronary CTA in a third-generation dual-source CT in a radiological centre were included in a clinical registry. Up to 20 mg metoprolol was administered intravenously to attain a heart rate ≤65/min.

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Coronary artery disease (CAD) shows a chronic but heterogeneous clinical course. Coronary CT angiography (CTA) allows for the visualization of the entire coronary tree and the detection of early stages of CAD. The aim of this study was to assess short-time changes in non-calcified and mixed plaques and their clinical impact using coronary CTA in a real-world setting.

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Background: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary CT angiography (coronary CTA).

Methods: Forty patients undergoing clinically indicated coronary CTA were randomly assigned to two groups with BMI-adapted (I: <25.0 kg/m, II: <28.

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To assess the value of cardiac magnetic resonance imaging (CMR) in evaluating cardiac tumours in a tertiary cardiology centre. Between 2004 and 2014, 125 patients (pts.) from a total of 17000 who received a CMR examination in our institution were referred with the suspicion of cardiac tumours.

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To compare the value of inversion recovery with on-resonant water suppression (IRON) to conventional T1-weighted (T1w) MRA and computed tomography angiography (CTA) for visualization of peripheral nitinol stents. We visualized 14 different peripheral nitinol stents in vitro both using Gadolinium (Gd) and ultrasmall superparamagnetic iron nanoparticles (USPIOs) for conventional T1w and IRON-MRA using clinical grade 1.5T MR scanner and iodinated contrast material for CTA using a 256-slice CT scanner.

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