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Stephanie Wiesemann

Explore the profile of Stephanie Wiesemann including associated specialties, affiliations and a list of published articles. Areas
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Articles 11
Citations 189
Followers 0
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Recent Articles
1.
Kwak S, Singh A, Everett R, Treibel T, Lim J, Won S, et al.
JAMA Cardiol . 2025 Feb; PMID: 39969863
Importance: Myocardial fibrosis in aortic stenosis (AS) may exhibit sex differences. However, its prognostic significance in women with AS remains unclear. Objective: To investigate sex differences in myocardial fibrosis assessed...
2.
Trauzeddel R, Muller M, Demir A, Wiesemann S, Daud E, Schmitter S, et al.
Front Cardiovasc Med . 2024 Oct; 11:1465554. PMID: 39399512
Background: Several commercially available software packages exist for the analysis of three-dimensional cine phase-contrast cardiovascular magnetic resonance (CMR) with three-directional velocity encoding (four-dimensional (4D) flow CMR). Only sparse data are...
3.
Wiesemann S, Trauzeddel R, Musa A, Hickstein R, Mayr T, von Knobelsdorff-Brenkenhoff F, et al.
Front Cardiovasc Med . 2023 Mar; 10:1071643. PMID: 36865891
Objectives: Non-invasive assessment of aortic hemodynamics using four dimensional (4D) flow magnetic resonance imaging (MRI) provides new information on blood flow patterns and wall shear stress (WSS). Aortic valve stenosis...
4.
Riazy L, Dauber S, Lange S, Viezzer D, Ott S, Wiesemann S, et al.
Sci Rep . 2023 Feb; 13(1):2205. PMID: 36750647
Cardiac magnetic resonance (CMR) examinations require standardization to achieve reproducible results. Therefore, quality control as known as in other industries such as in-vitro diagnostics, could be of essential value. One...
5.
Kwak S, Everett R, Treibel T, Yang S, Hwang D, Ko T, et al.
J Am Coll Cardiol . 2021 Aug; 78(6):545-558. PMID: 34353531
Background: Cardiovascular magnetic resonance (CMR) is increasingly used for risk stratification in aortic stenosis (AS). However, the relative prognostic power of CMR markers and their respective thresholds remains undefined. Objectives:...
6.
Demir A, Wiesemann S, Erley J, Schmitter S, Trauzeddel R, Pieske B, et al.
J Magn Reson Imaging . 2021 Jun; 55(1):211-222. PMID: 34173297
Background: Implementation of four-dimensional flow magnetic resonance (4D Flow MR) in clinical routine requires awareness of confounders. Purpose: To investigate inter-vendor comparability of 4D Flow MR derived aortic hemodynamic parameters,...
7.
Lim C, Blaszczyk E, Riazy L, Wiesemann S, Schuler J, von Knobelsdorff-Brenkenhoff F, et al.
Eur Radiol . 2020 Dec; 31(6):3962-3972. PMID: 33277669
Objectives: Quantification of myocardial deformation by feature tracking is of growing interest in cardiovascular magnetic resonance. It allows the assessment of regional myocardial function based on cine images. However, image...
8.
Wiesemann S, Schmitter S, Demir A, Prothmann M, Schwenke C, Chawla A, et al.
Magn Reson Med . 2020 Aug; 85(2):721-733. PMID: 32754969
Purpose: 4D flow magnetic resonance imaging (4D-MRI) allows time-resolved visualization of blood flow patterns, quantification of volumes, velocities, and advanced parameters, such as wall shear stress (WSS). As 4D-MRI enters...
9.
Birukov A, Wiesemann S, Golic M, Balogh A, Marko L, Rakova N, et al.
JACC Cardiovasc Imaging . 2020 Feb; 13(5):1291-1293. PMID: 32061559
No abstract available.
10.
Erley J, Zieschang V, Lapinskas T, Demir A, Wiesemann S, Haass M, et al.
Int J Cardiovasc Imaging . 2020 Feb; 36(5):899-911. PMID: 32056087
Myocardial strain is a convenient parameter to quantify left ventricular (LV) function. Fast strain-encoding (fSENC) enables the acquisition of cardiovascular magnetic resonance images for strain-measurement within a few heartbeats during...