Puls, Miriam

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Journal of Interventional Cardiology"],["dc.bibliographiccitation.lastpage","9"],["dc.bibliographiccitation.volume","2022"],["dc.contributor.author","Evertz, Ruben"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Backhaus, Sören J."],["dc.contributor.author","Schulz, Alexander"],["dc.contributor.author","Beuthner, Bo Eric"],["dc.contributor.author","Topci, Rodi"],["dc.contributor.author","Toischer, Karl"],["dc.contributor.author","Puls, Miriam"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.editor","Kim, Michael C."],["dc.date.accessioned","2022-06-01T09:39:37Z"],["dc.date.available","2022-06-01T09:39:37Z"],["dc.date.issued","2022"],["dc.description.abstract","Background. Cardiovascular magnetic resonance imaging is considered the reference standard for assessing cardiac morphology and function and has demonstrated prognostic utility in patients undergoing transcatheter aortic valve replacement (TAVR). Novel fully automated analyses may facilitate data analyses but have not yet been compared against conventional manual data acquisition in patients with severe aortic stenosis (AS). Methods. Fully automated and manual biventricular assessments were performed in 139 AS patients scheduled for TAVR using commercially available software (suiteHEART®, Neosoft; QMass®, Medis Medical Imaging Systems). Volumetric assessment included left ventricular (LV) mass, LV/right ventricular (RV) end-diastolic/end-systolic volume, LV/RV stroke volume, and LV/RV ejection fraction (EF). Results of fully automated and manual analyses were compared. Regression analyses and receiver operator characteristics including area under the curve (AUC) calculation for prediction of the primary study endpoint cardiovascular (CV) death were performed. Results. Fully automated and manual assessment of LVEF revealed similar prediction of CV mortality in univariable (manual: hazard ratio (HR) 0.970 (95% CI 0.943–0.997) p = 0.032 ; automated: HR 0.967 (95% CI 0.939–0.995) p = 0.022 ) and multivariable analyses (model 1: (including significant univariable parameters) manual: HR 0.968 (95% CI 0.938–0.999) p = 0.043 ; automated: HR 0.963 [95% CI 0.933–0.995] p = 0.024 ; model 2: (including CV risk factors) manual: HR 0.962 (95% CI 0.920–0.996) p = 0.027 ; automated: HR 0.954 (95% CI 0.920–0.989) p = 0.011 ). There were no differences in AUC (LVEF fully automated: 0.686; manual: 0.661; p = 0.21 ). Absolute values of LV volumes differed significantly between automated and manual approaches ( p < 0.001 for all). Fully automated quantification resulted in a time saving of 10 minutes per patient. Conclusion. Fully automated biventricular volumetric assessments enable efficient and equal risk prediction compared to conventional manual approaches. In addition to significant time saving, this may provide the tools for optimized clinical management and stratification of patients with severe AS undergoing TAVR."],["dc.identifier.doi","10.1155/2022/1368878"],["dc.identifier.pii","1368878"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108521"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","1540-8183"],["dc.relation.issn","0896-4327"],["dc.title","Artificial Intelligence Enabled Fully Automated CMR Function Quantification for Optimized Risk Stratification in Patients Undergoing Transcatheter Aortic Valve Replacement"],["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"]]

[["dc.bibliographiccitation.firstpage","46"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Backhaus, Sören Jan"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Beuthner, Bo Eric"],["dc.contributor.author","Topci, Rodi"],["dc.contributor.author","Wang, Xiaoqing"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Seidler, Tim"],["dc.contributor.author","Toischer, Karl"],["dc.contributor.author","Zeisberg, Elisabeth M."],["dc.contributor.author","Puls, Miriam"],["dc.contributor.author","Jacobshagen, Claudius"],["dc.contributor.author","Uecker, Martin"],["dc.contributor.author","Hasenfuß, Gerd P."],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2021-03-08T07:13:57Z"],["dc.date.available","2021-03-08T07:13:57Z"],["dc.date.issued","2020"],["dc.description.abstract","Myocardial fibrosis is a major determinant of outcome in aortic stenosis (AS). Novel fast real-time (RT) cardiovascular magnetic resonance (CMR) mapping techniques allow comprehensive quantification of fibrosis but have not yet been compared against standard techniques and histology."],["dc.identifier.doi","10.1186/s12968-020-00632-0"],["dc.identifier.pmid","32564773"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17418"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/80477"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/50"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/359"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | D01: Erholung aus der Herzinsuffizienz – Einfluss von Fibrose und Transkriptionssignatur"],["dc.relation.issn","1532-429X"],["dc.relation.workinggroup","RG Hasenfuß"],["dc.relation.workinggroup","RG Uecker"],["dc.relation.workinggroup","RG E. Zeisberg (Kardiales Stroma)"],["dc.relation.workinggroup","RG Backhaus"],["dc.relation.workinggroup","RG Toischer (Kardiales Remodeling)"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Real-time cardiovascular magnetic resonance T1 and extracellular volume fraction mapping for tissue characterisation in aortic stenosis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]