Schuster, Andreas

[["dc.bibliographiccitation.journal","International Journal of Cardiology"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Stiermaier, Thomas"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Koschalka, Alexander"],["dc.contributor.author","Navarra, Jenny-Lou"],["dc.contributor.author","Uhlig, Johannes"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","Gutberlet, Matthias"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Thiele, Holger"],["dc.contributor.author","Eitel, Ingo"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2019-08-06T12:07:43Z"],["dc.date.available","2019-08-06T12:07:43Z"],["dc.date.issued","2019"],["dc.description.abstract","Sex-specific outcome data following myocardial infarction (MI) are inconclusive with some evidence suggesting association of female sex and increased major adverse cardiac events (MACE). Since mechanistic principles remain elusive, we aimed to quantify the underlying phenotype using cardiovascular magnetic resonance (CMR) quantitative deformation imaging and tissue characterisation."],["dc.identifier.doi","10.1016/j.ijcard.2019.06.036"],["dc.identifier.pmid","31300172"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62311"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.eissn","1874-1754"],["dc.relation.issn","0167-5273"],["dc.title","Atrioventricular mechanical coupling and major adverse cardiac events in female patients following acute ST elevation myocardial infarction"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","965512"],["dc.bibliographiccitation.journal","Frontiers in Cardiovascular Medicine"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Evertz, Ruben"],["dc.contributor.author","Schulz, Alexander"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Vollmann, Dirk"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","von Haehling, Stephan"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2022-10-04T10:21:43Z"],["dc.date.available","2022-10-04T10:21:43Z"],["dc.date.issued","2022"],["dc.description.abstract","Background\r\n The risk of myocarditis after mRNA vaccination against COVID-19 has emerged recently. Current evidence suggests that young male patients are predominantly affected. In the majority of the cases, only mild symptoms were observed. However, little is known about cardiac magnetic resonance (CMR) imaging patterns in mRNA-related myocarditis and their differences when compared to classical viral myocarditis in the acute phase of inflammation.\r\n \r\n \r\n Methods and results\r\n \r\n In total, 10 mRNA vaccination-associated patients with myocarditis were retrospectively enrolled in this study and compared to 10 patients suffering from viral myocarditis, who were matched for age, sex, comorbidities, and laboratory markers. All patients (\r\n n\r\n = 20) were hospitalized and underwent a standardized clinical examination, as well as an echocardiography and a CMR. Both, clinical and imaging findings and, in particular, functional and volumetric CMR assessments, as well as detailed tissue characterization using late gadolinium enhancement and T1 + T2-weighted sequences, were compared between both groups. The median age of the overall cohort was 26 years (group 1: 25.5; group 2: 27.5;\r\n p\r\n = 0.57). All patients described chest pain as the leading reason for their initial presentation. CMR volumetric and functional parameters did not differ significantly between both groups. In all cases, the lateral left ventricular wall showed late gadolinium enhancement without significant differences in terms of the localization or in-depth tissue characterization (late gadolinium enhancement [LGE] enlargement: group 1: 5.4%; group 2: 6.5%;\r\n p\r\n = 0.14; T2 global/maximum value: group 1: 38.9/52 ms; group 2: 37.8/54.5 ms;\r\n p\r\n = 0.79 and\r\n p\r\n = 0.80).\r\n \r\n \r\n \r\n Conclusion\r\n This study yielded the first evidence that COVID-19 mRNA vaccine-associated myocarditis does not show specific CMR patterns during the very acute stage in the most affected patient group of young male patients. The observed imaging markers were closely related to regular viral myocarditis in our cohort. Additionally, we could not find any markers implying adverse outcomes in this relatively little number of patients; however, this has to be confirmed by future studies that will include larger sample sizes."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.3389/fcvm.2022.965512"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/114481"],["dc.notes.intern","DOI-Import GROB-600"],["dc.relation.eissn","2297-055X"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Cardiovascular magnetic resonance imaging patterns of acute COVID-19 mRNA vaccine-associated myocarditis in young male patients: A first single-center experience"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3970"],["dc.bibliographiccitation.issue","17"],["dc.bibliographiccitation.journal","Journal of Clinical Medicine"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Evertz, Ruben"],["dc.contributor.author","Hub, Sebastian"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Toischer, Karl"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.editor","Santarpino, Giuseppe"],["dc.date.accessioned","2021-10-01T09:58:14Z"],["dc.date.available","2021-10-01T09:58:14Z"],["dc.date.issued","2021"],["dc.description.abstract","Aortic valve calcification (AVC) in aortic stenosis patients has diagnostic and prognostic implications. Little is known about the interchangeability of AVC obtained from different multidetector computed tomography (MDCT) software solutions. Contrast-enhanced MDCT data sets of 50 randomly selected aortic stenosis patients were analysed using three different software vendors (3Mensio, CVI42, Syngo.Via). A subset of 10 patients were analysed twice for the estimation of intra-observer variability. Intra- and inter-observer variability were determined using the ICC reliability method, Bland-Altman analysis and coefficients of variation. No differences were revealed between the software solutions in the AVC calculations (3Mensio 941 ± 623, Syngo.Via 948 mm3 ± 655, CVI42 941 ± 637; p = 0.455). The best inter-vendor agreement was found between the CVI42 and the Syngo.Via (ICC 0.997 (CI 0.995–0.998)), followed by the 3Mensio and the CVI42 (ICC 0.996 (CI 0.922–0.998)), and the 3Mensio and the Syngo.Via (ICC 0.992 (CI 0.986–0.995)). There was excellent intra- (3Mensio: ICC 0.999 (0.995–1.000); CVI42: ICC 1.000 (0.999–1.000); Syngo.Via: ICC 0.998 (0.993–1.000)) and inter-observer variability (3Mensio: ICC 1.000 (0.999–1.000); CVI42: ICC 1.000 (1.000–1.000); Syngo.Via: ICC 0.996 (0.985–0.999)) for all software types. Contrast-enhanced MDCT-derived AVC scores are interchangeable between and reproducible within different commercially available software solutions. This is important since sufficient reproducibility, interchangeability and valid results represent prerequisites for accurate TAVR planning and its widespread clinical use."],["dc.description.abstract","Aortic valve calcification (AVC) in aortic stenosis patients has diagnostic and prognostic implications. Little is known about the interchangeability of AVC obtained from different multidetector computed tomography (MDCT) software solutions. Contrast-enhanced MDCT data sets of 50 randomly selected aortic stenosis patients were analysed using three different software vendors (3Mensio, CVI42, Syngo.Via). A subset of 10 patients were analysed twice for the estimation of intra-observer variability. Intra- and inter-observer variability were determined using the ICC reliability method, Bland-Altman analysis and coefficients of variation. No differences were revealed between the software solutions in the AVC calculations (3Mensio 941 ± 623, Syngo.Via 948 mm3 ± 655, CVI42 941 ± 637; p = 0.455). The best inter-vendor agreement was found between the CVI42 and the Syngo.Via (ICC 0.997 (CI 0.995–0.998)), followed by the 3Mensio and the CVI42 (ICC 0.996 (CI 0.922–0.998)), and the 3Mensio and the Syngo.Via (ICC 0.992 (CI 0.986–0.995)). There was excellent intra- (3Mensio: ICC 0.999 (0.995–1.000); CVI42: ICC 1.000 (0.999–1.000); Syngo.Via: ICC 0.998 (0.993–1.000)) and inter-observer variability (3Mensio: ICC 1.000 (0.999–1.000); CVI42: ICC 1.000 (1.000–1.000); Syngo.Via: ICC 0.996 (0.985–0.999)) for all software types. Contrast-enhanced MDCT-derived AVC scores are interchangeable between and reproducible within different commercially available software solutions. This is important since sufficient reproducibility, interchangeability and valid results represent prerequisites for accurate TAVR planning and its widespread clinical use."],["dc.identifier.doi","10.3390/jcm10173970"],["dc.identifier.pii","jcm10173970"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90018"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-469"],["dc.publisher","MDPI"],["dc.relation.eissn","2077-0383"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.title","Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","60"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","23"],["dc.contributor.author","Metschies, Georg"],["dc.contributor.author","Billing, Marcus"],["dc.contributor.author","Schmidt-Rimpler, Jonas"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Gertz, Roman J."],["dc.contributor.author","Lapinskas, Tomas"],["dc.contributor.author","Pieske-Kraigher, Elisabeth"],["dc.contributor.author","Pieske, Burkert"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Kelle, Sebastian"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Backhaus, Sören J."],["dc.date.accessioned","2021-11-25T11:12:48Z"],["dc.date.available","2021-11-25T11:12:48Z"],["dc.date.issued","2021-05-17"],["dc.date.updated","2021-11-19T12:47:36Z"],["dc.description.abstract","Abstract Background Myocardial deformation analyses using cardiovascular magnetic resonance (CMR) feature tracking (CMR-FT) have incremental value in the assessment of cardiac function beyond volumetric analyses. Since guidelines do not recommend specific imaging parameters, we aimed to define optimal spatial and temporal resolutions for CMR cine images to enable reliable post-processing. Methods Intra- and inter-observer reproducibility was assessed in 12 healthy subjects and 9 heart failure (HF) patients. Cine images were acquired with different temporal (20, 30, 40 and 50 frames/cardiac cycle) and spatial resolutions (high in-plane 1.5 × 1.5 mm through-plane 5 mm, standard 1.8 × 1.8 x 8mm and low 3.0 × 3.0 x 10mm). CMR-FT comprised left ventricular (LV) global and segmental longitudinal/circumferential strain (GLS/GCS) and associated systolic strain rates (SR), and right ventricular (RV) GLS. Results Temporal but not spatial resolution did impact absolute strain and SR. Maximum absolute changes between lowest and highest temporal resolution were as follows: 1.8% and 0.3%/s for LV GLS and SR, 2.5% and 0.6%/s for GCS and SR as well as 1.4% for RV GLS. Changes of strain values occurred comparing 20 and 30 frames/cardiac cycle including LV and RV GLS and GCS (p < 0.001–0.046). In contrast, SR values (LV GLS/GCS SR) changed significantly comparing all successive temporal resolutions (p < 0.001–0.013). LV strain and SR reproducibility was not affected by either temporal or spatial resolution, whilst RV strain variability decreased with augmentation of temporal resolution. Conclusion Temporal but not spatial resolution significantly affects strain and SR in CMR-FT deformation analyses. Strain analyses require lower temporal resolution and 30 frames/cardiac cycle offer consistent strain assessments, whilst SR measurements gain from further increases in temporal resolution."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.citation","Journal of Cardiovascular Magnetic Resonance. 2021 May 17;23(1):60"],["dc.identifier.doi","10.1186/s12968-021-00740-5"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/93537"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.publisher","BioMed Central"],["dc.relation.eissn","1532-429X"],["dc.relation.orgunit","Klinik für Kardiologie und Pneumologie"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)"],["dc.subject","Myocardial deformation"],["dc.subject","Strain"],["dc.subject","Cardiovascular magnetic resonance"],["dc.subject","Temporal resolution"],["dc.subject","Spatial resolution"],["dc.subject","Reproducibility"],["dc.title","Defining the optimal temporal and spatial resolution for cardiovascular magnetic resonance imaging feature tracking"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","424"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Heart Rhythm"],["dc.bibliographiccitation.lastpage","432"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Staab, Wieland"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Weber-Krüger, Mark"],["dc.contributor.author","Bauer, Lukas"],["dc.contributor.author","Sohns, Christian"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Lüthje, Lars"],["dc.contributor.author","Zabel, Markus"],["dc.contributor.author","Bergau, Leonard"],["dc.date.accessioned","2020-12-10T14:24:26Z"],["dc.date.available","2020-12-10T14:24:26Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.hrthm.2018.09.016"],["dc.identifier.issn","1547-5271"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72245"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Reverse left ventricular structural remodeling after catheter ablation of atrial fibrillation in patients with preserved left ventricular function: Insights from cardiovascular magnetic resonance native T1 mapping"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Aldehayat, Haneen"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Evertz, Ruben"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","Gutberlet, Matthias"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Thiele, Holger"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2022-09-01T09:50:07Z"],["dc.date.available","2022-09-01T09:50:07Z"],["dc.date.issued","2022"],["dc.description.abstract","Abstract\n \n Feasibility of automated volume-derived cardiac functional evaluation has successfully been demonstrated using cardiovascular magnetic resonance (CMR) imaging. Notwithstanding, strain assessment has proven incremental value for cardiovascular risk stratification. Since introduction of deformation imaging to clinical practice has been complicated by time-consuming post-processing, we sought to investigate automation respectively. CMR data (n = 1095 patients) from two prospectively recruited acute myocardial infarction (AMI) populations with ST-elevation (STEMI) (AIDA STEMI n = 759) and non-STEMI (TATORT-NSTEMI n = 336) were analysed fully automated and manually on conventional cine sequences. LV function assessment included global longitudinal, circumferential, and radial strains (GLS/GCS/GRS). Agreements were assessed between automated and manual strain assessments. The former were assessed for major adverse cardiac event (MACE) prediction within 12 months following AMI. Manually and automated derived GLS showed the best and excellent agreement with an intraclass correlation coefficient (ICC) of 0.81. Agreement was good for GCS and poor for GRS. Amongst automated analyses, GLS (HR 1.12, 95% CI 1.08–1.16,\n p\n  < 0.001) and GCS (HR 1.07, 95% CI 1.05–1.10,\n p\n  < 0.001) best predicted MACE with similar diagnostic accuracy compared to manual analyses; area under the curve (AUC) for GLS (auto 0.691 vs. manual 0.693,\n p\n  = 0.801) and GCS (auto 0.668 vs. manual 0.686,\n p\n  = 0.425). Amongst automated functional analyses, GLS was the only independent predictor of MACE in multivariate analyses (HR 1.10, 95% CI 1.04–1.15,\n p\n  < 0.001). Considering high agreement of automated GLS and equally high accuracy for risk prediction compared to the reference standard of manual analyses, automation may improve efficiency and aid in clinical routine implementation.\n \n Trial registration: ClinicalTrials.gov, NCT00712101 and NCT01612312."],["dc.description.sponsorship"," Deutsches Zentrum für Herz-Kreislaufforschung http://dx.doi.org/10.13039/100010447"],["dc.description.sponsorship"," Georg-August-Universität Göttingen 501100003385"],["dc.identifier.doi","10.1038/s41598-022-16228-w"],["dc.identifier.pii","16228"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113627"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation.eissn","2045-2322"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","11648"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Stehning, Christian"],["dc.contributor.author","Billing, Marcus"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Pieske, Burkert"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Kelle, Sebastian"],["dc.contributor.author","Kowallick, Johannes T."],["dc.date.accessioned","2021-07-05T15:00:34Z"],["dc.date.available","2021-07-05T15:00:34Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract Cardiovascular magnetic resonance (CMR) imaging provides reliable assessments of biventricular morphology and function. Since manual post-processing is time-consuming and prone to observer variability, efforts have been directed towards novel artificial intelligence-based fully automated analyses. Hence, we sought to investigate the impact of artificial intelligence-based fully automated assessments on the inter-study variability of biventricular volumes and function. Eighteen participants (11 with normal, 3 with heart failure and preserved and 4 with reduced ejection fraction (EF)) underwent serial CMR imaging at in median 63 days (range 49–87) interval. Short axis cine stacks were acquired for the evaluation of left ventricular (LV) mass, LV and right ventricular (RV) end-diastolic, end-systolic and stroke volumes as well as EF. Assessments were performed manually (QMass, Medis Medical Imaging Systems, Leiden, Netherlands) by an experienced (3 years) and inexperienced reader (no active reporting, 45 min of training with five cases from the SCMR consensus data) as well as fully automated (suiteHEART, Neosoft, Pewaukee, WI, USA) without any manual corrections. Inter-study reproducibility was overall excellent with respect to LV volumetric indices, best for the experienced observer (intraclass correlation coefficient (ICC) > 0.98, coefficient of variation (CoV, < 9.6%) closely followed by automated analyses (ICC > 0.93, CoV < 12.4%) and lowest for the inexperienced observer (ICC > 0.86, CoV < 18.8%). Inter-study reproducibility of RV volumes was excellent for the experienced observer (ICC > 0.88, CoV < 10.7%) but considerably lower for automated and inexperienced manual analyses (ICC > 0.69 and > 0.46, CoV < 22.8% and < 28.7% respectively). In this cohort, fully automated analyses allowed reliable serial investigations of LV volumes with comparable inter-study reproducibility to manual analyses performed by an experienced CMR observer. In contrast, RV automated quantification with current algorithms still relied on manual post-processing for reliability."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1038/s41598-021-90702-9"],["dc.identifier.pii","90702"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87853"],["dc.language.iso","en"],["dc.notes.intern","DOI Import DOI-Import GROB-441"],["dc.relation.eissn","2045-2322"],["dc.rights","CC BY 4.0"],["dc.title","Impact of fully automated assessment on interstudy reproducibility of biventricular volumes and function in cardiac magnetic resonance imaging"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1540"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Diabetes"],["dc.bibliographiccitation.lastpage","1548"],["dc.bibliographiccitation.volume","69"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Stiermaier, Thomas"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Navarra, Jenny-Lou"],["dc.contributor.author","Koschalka, Alexander"],["dc.contributor.author","Evertz, Ruben"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Gutberlet, Matthias"],["dc.contributor.author","Thiele, Holger"],["dc.contributor.author","Eitel, Ingo"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2021-04-14T08:25:11Z"],["dc.date.available","2021-04-14T08:25:11Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.2337/db20-0001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81545"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1939-327X"],["dc.relation.issn","0012-1797"],["dc.title","Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Risk Assessment After Acute Myocardial Infarction in Patients With Type 2 Diabetes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","256"],["dc.bibliographiccitation.journal","International Journal of Cardiology"],["dc.bibliographiccitation.lastpage","262"],["dc.bibliographiccitation.volume","273"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Stiermaier, Thomas"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Lamata, Pablo"],["dc.contributor.author","Uhlig, Johannes"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Raaz, Uwe"],["dc.contributor.author","Villa, Adriana"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Thiele, Holger"],["dc.contributor.author","Eitel, Ingo"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2020-12-10T14:24:32Z"],["dc.date.available","2020-12-10T14:24:32Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1016/j.ijcard.2018.04.088"],["dc.identifier.issn","0167-5273"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72283"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Temporal changes within mechanical dyssynchrony and rotational mechanics in Takotsubo syndrome: A cardiovascular magnetic resonance imaging study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","45"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Beuthner, Bo E."],["dc.contributor.author","Topci, Rodi"],["dc.contributor.author","Rigorth, Karl-Rudolf"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Evertz, Ruben"],["dc.contributor.author","Schnelle, Moritz"],["dc.contributor.author","Ravassa, Susana"],["dc.contributor.author","Díez, Javier"],["dc.contributor.author","Toischer, Karl"],["dc.contributor.author","Seidler, Tim"],["dc.contributor.author","Puls, Miriam"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2022-08-18T12:40:06Z"],["dc.date.available","2022-08-18T12:40:06Z"],["dc.date.issued","2022-07-28"],["dc.date.updated","2022-07-29T12:18:01Z"],["dc.description.abstract","Abstract\n \n Background\n Since cardiovascular magnetic resonance (CMR) imaging allows comprehensive quantification of both myocardial function and structure we aimed to assess myocardial remodeling processes in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR).\n \n \n Methods\n CMR imaging was performed in 40 patients with severe AS before and 1 year after TAVR. Image analyses comprised assessments of myocardial volumes, CMR-feature-tracking based atrial and ventricular strain, myocardial T1 mapping, extracellular volume fraction-based calculation of left ventricular (LV) cellular and matrix volumes, as well as ischemic and non-ischemic late gadolinium enhancement analyses. Moreover, biomarkers including NT-proBNP as well as functional and clinical status were documented.\n \n \n Results\n Myocardial function improved 1 year after TAVR: LV ejection fraction (57.9 ± 16.9% to 65.4 ± 14.5%, p = 0.002); LV global longitudinal (− 21.4 ± 8.0% to -25.0 ± 6.4%, p < 0.001) and circumferential strain (− 36.9 ± 14.3% to − 42.6 ± 11.8%, p = 0.001); left atrial reservoir (13.3 ± 6.3% to 17.8 ± 6.7%, p = 0.001), conduit (5.5 ± 3.2% to 8.4 ± 4.6%, p = 0.001) and boosterpump strain (8.2 ± 4.6% to 9.9 ± 4.2%, p = 0.027). This was paralleled by regression of total myocardial volume (90.3 ± 21.0 ml/m2 to 73.5 ± 17.0 ml/m2, p < 0.001) including cellular (55.2 ± 13.2 ml/m2 to 45.3 ± 11.1 ml/m2, p < 0.001) and matrix volumes (20.7 ± 6.1 ml/m2 to 18.8 ± 5.3 ml/m2, p = 0.036). These changes were paralleled by recovery from heart failure (decrease of NYHA class: p < 0.001; declining NT-proBNP levels: 2456 ± 3002 ng/L to 988 ± 1222 ng/L, p = 0.001).\n \n \n Conclusion\n CMR imaging enables comprehensive detection of myocardial remodeling in patients undergoing TAVR. Regression of LV matrix volume as a surrogate for reversible diffuse myocardial fibrosis is accompanied by increase of myocardial function and recovery from heart failure. Further data are required to define the value of these parameters as therapeutic targets for optimized management of TAVR patients.\n Trial registration DRKS, DRKS00024479. Registered 10 December 2021—Retrospectively registered, \n https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00024479"],["dc.identifier.citation","Journal of Cardiovascular Magnetic Resonance. 2022 Jul 28;24(1):45"],["dc.identifier.doi","10.1186/s12968-022-00874-0"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112977"],["dc.language.iso","en"],["dc.publisher","BioMed Central"],["dc.rights.holder","The Author(s)"],["dc.subject","Cardiac magnetic resonance imaging"],["dc.subject","Transcatheter aortic valve replacement"],["dc.subject","Myocardial remodeling"],["dc.subject","Assessment of myocardial function and structure"],["dc.title","Functional and structural reverse myocardial remodeling following transcatheter aortic valve replacement: a prospective cardiovascular magnetic resonance study"],["dc.type","journal_article"],["dspace.entity.type","Publication"]]