Kowallick, Johannes Tammo

[["dc.bibliographiccitation.firstpage","136"],["dc.bibliographiccitation.journal","International Journal of Cardiology"],["dc.bibliographiccitation.lastpage","142"],["dc.bibliographiccitation.volume","248"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Shang, Quanliang"],["dc.contributor.author","Joseph, Navya"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Steinmetz, Michael"],["dc.contributor.author","Danford, David A."],["dc.contributor.author","Beerbaum, Phillip"],["dc.contributor.author","Sarikouch, Samir"],["dc.date.accessioned","2020-12-10T14:24:31Z"],["dc.date.available","2020-12-10T14:24:31Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1016/j.ijcard.2017.06.121"],["dc.identifier.issn","0167-5273"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72276"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Abnormal right atrial performance in repaired tetralogy of Fallot: A CMR feature tracking analysis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","oeac053"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","European Heart Journal Open"],["dc.bibliographiccitation.volume","2"],["dc.contributor.author","Backhaus, Sören J"],["dc.contributor.author","Rösel, Simon F"],["dc.contributor.author","Stiermaier, Thomas"],["dc.contributor.author","Schmidt-Rimpler, Jonas"],["dc.contributor.author","Evertz, Ruben"],["dc.contributor.author","Schulz, Alexander"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Kowallick, Johannes T"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.editor","Gimelli, Alessia"],["dc.date.accessioned","2022-11-01T10:16:55Z"],["dc.date.available","2022-11-01T10:16:55Z"],["dc.date.issued","2022"],["dc.description.abstract","Abstract\n \n Aims\n Deformation imaging enables optimized risk prediction following acute myocardial infarction (AMI). However, costly and time-consuming post processing has hindered widespread clinical implementation. Since manual left-ventricular long-axis strain (LV LAS) has been successfully proposed as a simple alternative for LV deformation imaging, we aimed at the validation of left-atrial (LA) LAS.\n \n \n Methods and results\n The AIDA STEMI and TATORT-NSTEMI trials recruited 795 patients with ST-elevation myocardial infarction and 440 with non-ST-elevation myocardial infarction. LA LAS was assessed as the systolic distance change between the middle of a line connecting the origins of the mitral leaflets and either a perpendicular line towards the posterior atrial wall (LAS90) or a line connecting to the LA posterior portion of the greatest distance irrespective of a predefined angle (LAS). Primary endpoint was major adverse cardiac event (MACE) occurrence within 12 months. There were no significant differences between LA LAS and LAS90, both with excellent reproducibility. LA LAS correlated significantly with LA reservoir function (Es, r = 0.60, P < 0.001). Impaired LA LAS resulted in higher MACE occurrence [hazard ratio (HR) 0.85, 95% confidence interval (CI) 0.82–0.88, P < 0.001]. LA LAS (HR 0.90, 95% CI 0.83–0.97, P = 0.005) and LV global longitudinal strain (GLS, P = 0.025) were the only independent predictors for MACE in multivariate analyses. C-statistics demonstrated incremental value of LA LAS in addition to GLS (P = 0.016) and non-inferiority compared with FT Es (area under the receiver operating characteristic curve 0.74 vs. 0.69, P = 0.256).\n \n \n Conclusion\n Left-atrial LAS provides fast and software-independent approximations of quantitative LA function with similar value for risk prediction compared with dedicated deformation imaging.\n \n \n Clinical trial registration\n ClinicalTrials.gov: NCT00712101 and NCT01612312"],["dc.identifier.doi","10.1093/ehjopen/oeac053"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/116687"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-605"],["dc.relation.eissn","2752-4191"],["dc.title","Left-atrial long-axis shortening allows effective quantification of atrial function and optimized risk prediction following acute myocardial infarction"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["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","e109164"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.contributor.author","Lamata, Pablo"],["dc.contributor.author","Hussain, Shazia T."],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Steinmetz, Michael"],["dc.contributor.author","Sohns, Jan Martin"],["dc.contributor.author","Fasshauer, Martin"],["dc.contributor.author","Staab, Wieland"],["dc.contributor.author","Unterberg-Buchwald, Christina"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2017-09-07T11:45:27Z"],["dc.date.available","2017-09-07T11:45:27Z"],["dc.date.issued","2014"],["dc.description.abstract","Objectives: Cardiovascular magnetic resonance feature tracking (CMR-FT) offers quantification of myocardial deformation from routine cine images. However, data using CMR-FT to quantify left ventricular (LV) torsion and diastolic recoil are not yet available. We therefore sought to evaluate the feasibility and reproducibility of CMR-FT to quantify LV torsion and peak recoil rate using an optimal anatomical approach. Methods: Short-axis cine stacks were acquired at rest and during dobutamine stimulation (10 and 20 mu g.kg(-1).min(-1)) in 10 healthy volunteers. Rotational displacement was analysed for all slices. A complete 3D-LV rotational model was developed using linear interpolation between adjacent slices. Torsion was defined as the difference between apical and basal rotation, divided by slice distance. Depending on the distance between the most apical (defined as 0% LV distance) and basal (defined as 100% LV distance) slices, four different models for the calculation of torsion were examined: Model-1 (25-75%), Model-2 (0-100%), Model-3 (25-100%) and Model-4 (0-75%). Analysis included subendocardial, subepicardial and global torsion and recoil rate (mean of subendocardial and subepicardial values). Results: Quantification of torsion and recoil rate was feasible in all subjects. There was no significant difference between the different models at rest. However, only Model-1 (25-75%) discriminated between rest and stress (Global Torsion: 2.7 +/- 1.5 degrees cm(-1), 3.6 +/- 2.0 degrees cm(-1), 5.1 +/- 2.2 degrees cm(-1), p<0.01; Global Recoil Rate: -30.1 +/- 11.1 degrees cm(-1) s (-1), -469 +/- 15.0 degrees cm (-1) s (-1), -68.9 +/- 32.3 degrees cm(-1) s(-1), p<0.01; for rest, 10 and 20 mu g.kg(-1).min(-1) of dobutamine, respectively). Reproducibility was sufficient for all parameters as determined by Bland-Altman analysis, intraclass correlation coefficients and coefficient of variation. Conclusions: CMR-FT based derivation of myocardial torsion and recoil rate is feasible and reproducible at rest and with dobutamine stress. Using an optimal anatomical approach measuring rotation at 25% and 75% apical and basal LV locations allows effective quantification of torsion and recoil dynamics. Application of these new measures of deformation by CMR-FT should next be explored in disease states."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2014"],["dc.identifier.doi","10.1371/journal.pone.0109164"],["dc.identifier.gro","3142035"],["dc.identifier.isi","000345743700050"],["dc.identifier.pmid","25285656"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10994"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/3823"],["dc.notes.intern","WoS Import 2017-03-10"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Public Library Science"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Quantification of Left Ventricular Torsion and Diastolic Recoil Using Cardiovascular Magnetic Resonance Myocardial Feature Tracking"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1262"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","European Heart Journal - Cardiovascular Imaging"],["dc.bibliographiccitation.lastpage","1270"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Backhaus, Sören J"],["dc.contributor.author","Stiermaier, Thomas"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Stulle, Alina"],["dc.contributor.author","Koschalka, Alexander"],["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.date.accessioned","2020-04-03T13:12:22Z"],["dc.date.available","2020-04-03T13:12:22Z"],["dc.date.issued","2019-11-01"],["dc.description.abstract","Cardiovascular magnetic resonance feature tracking (CMR-FT) global longitudinal strain (GLS) provides incremental prognostic value following acute myocardial infarction (AMI) but requires substantial post-processing. Alternatively, manual global long-axis strain (LAS) can be easily assessed from standard steady state free precession images. We aimed to define the prognostic value of LAS in a large multicentre study in patients following AMI."],["dc.identifier.doi","10.1093/ehjci/jez077"],["dc.identifier.pmid","31329854"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63616"],["dc.language.iso","en"],["dc.relation.eissn","2047-2412"],["dc.relation.issn","2047-2404"],["dc.relation.issn","2047-2412"],["dc.title","Fast manual long-axis strain assessment provides optimized cardiovascular event prediction following myocardial infarction"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","601"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Circulation Cardiovascular Imaging"],["dc.bibliographiccitation.lastpage","609"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Hoesch, Olga"],["dc.contributor.author","Sohns, Jan Martin"],["dc.contributor.author","Thuy-Trang Nguyen, Thuy-Trang Nguyen"],["dc.contributor.author","Lauerer, Peter"],["dc.contributor.author","Rosenberg, Christina"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Unterberg, Christina"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Fasshauer, Martin"],["dc.contributor.author","Staab, Wieland"],["dc.contributor.author","Paul, Thomas"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Steinmetz, Michael"],["dc.date.accessioned","2018-11-07T09:38:08Z"],["dc.date.available","2018-11-07T09:38:08Z"],["dc.date.issued","2014"],["dc.description.abstract","Background-The classification of clinical severity of Ebstein anomaly still remains a challenge. The aim of this study was to focus on the interaction of the pathologically altered right heart with the anatomically-supposedly-normal left heart and to derive from cardiac magnetic resonance (CMR) a simple imaging measure for the clinical severity of Ebstein anomaly. Methods and Results-Twenty-five patients at a mean age of 26 +/- 14 years with unrepaired Ebstein anomaly were examined in a prospective study. Disease severity was classified using CMR volumes and functional measurements in comparison with heart failure markers from clinical data, ECG, laboratory and cardiopulmonary exercise testing, and echocardiography. All examinations were completed within 24 hours. A total right/left-volume index was defined from end-diastolic volume measurements in CMR: total right/left-volume index=(RA+aRV+fRV)/(LA+LV). Mean total right/left-volume index was 2.6 +/- 1.7 (normal values: 1.1 +/- 0.1). This new total right/left-volume index correlated with almost all clinically used biomarkers of heart failure: brain natriuretic peptide (r=0.691; P=0.0003), QRS (r=0.432; P=0.039), peak oxygen consumption/kg (r=-0.479; P=0.024), ventilatory response to carbon dioxide production at anaerobic threshold (r=0.426; P=0.048), the severity of tricuspid regurgitation (r=0.692; P=0.009), tricuspid valve offset (r=0.583; P=0.004), and tricuspid annular plane systolic excursion (r=0.554; P=0.006). Previously described severity indices ([RA+aRV]/[fRV+LA+LV]) and fRV/LV end-diastolic volume corresponded only to some parameters. Conclusions-In patients with Ebstein anomaly, the easily acquired index of right-sided to left-sided heart volumes from CMR correlated well with established heart failure markers. Our data suggest that the total right/left-volume index should be used as a new and simplified CMR measure, allowing more accurate assessment of disease severity than previously described scoring systems."],["dc.identifier.doi","10.1161/CIRCIMAGING.113.001467"],["dc.identifier.isi","000339172100006"],["dc.identifier.pmid","24807407"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33001"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Lippincott Williams & Wilkins"],["dc.relation.issn","1942-0080"],["dc.relation.issn","1941-9651"],["dc.title","The Total Right/Left-Volume Index: A New and Simplified Cardiac Magnetic Resonance Measure to Evaluate the Severity of Ebstein Anomaly of the Tricuspid Valve A Comparison With Heart Failure Markers From Various Modalities"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["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.artnumber","e004077"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Circulation: Cardiovascular Imaging"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Hor, Kan N."],["dc.contributor.author","Beerbaum, Philipp"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.date.accessioned","2020-12-10T18:37:58Z"],["dc.date.available","2020-12-10T18:37:58Z"],["dc.date.issued","2016"],["dc.description.abstract","Heart failure-induced cardiovascular morbidity and mortality constitute a major health problem worldwide and result from diverse pathogeneses, including coronary artery disease, nonischemic cardiomyopathies, and arrhythmias. Assessment of cardiovascular performance is important for early diagnosis and accurate management of patients at risk of heart failure. During the past decade, cardiovascular magnetic resonance myocardial feature tracking has emerged as a useful tool for the quantitative evaluation of cardiovascular function. The method allows quantification of biatrial and biventricular mechanics from measures of deformation: strain, torsion, and dyssynchrony. The purpose of this article is to review the basic principles, clinical applications, accuracy, and reproducibility of cardiovascular magnetic resonance myocardial feature tracking, highlighting the prognostic implications. It will also provide an outlook on how this field might evolve in the future."],["dc.identifier.doi","10.1161/CIRCIMAGING.115.004077"],["dc.identifier.eissn","1942-0080"],["dc.identifier.isi","000374795700004"],["dc.identifier.issn","1941-9651"],["dc.identifier.pmid","27009468"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77155"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Lippincott Williams & Wilkins"],["dc.relation.issn","1942-0080"],["dc.relation.issn","1941-9651"],["dc.title","Cardiovascular Magnetic Resonance Myocardial Feature Tracking: Concepts and Clinical Applications"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["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","36"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.contributor.author","Morton, Geraint"],["dc.contributor.author","Lamata, Pablo"],["dc.contributor.author","Jogiya, Roy"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Nagel, Eike"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2017-09-07T11:44:24Z"],["dc.date.available","2017-09-07T11:44:24Z"],["dc.date.issued","2015"],["dc.description.abstract","Background: Cardiovascular magnetic resonance (CMR) offers quantification of phasic atrial functions based on volumetric assessment and more recently, on CMR feature tracking (CMR-FT) quantitative strain and strain rate (SR) deformation imaging. Inter-study reproducibility is a key requirement for longitudinal studies but has not been defined for CMR-based quantification of left atrial (LA) and right atrial (RA) dynamics. Methods: Long-axis 2-and 4-chamber cine images were acquired at 9: 00 (Exam A), 9: 30 (Exam B) and 14: 00 (Exam C) in 16 healthy volunteers. LA and RA reservoir, conduit and contractile booster pump functions were quantified by volumetric indexes as derived from fractional volume changes and by strain and SR as derived from CMR-FT. Exam A and B were compared to assess the inter-study reproducibility. Morning and afternoon scans were compared to address possible diurnal variation of atrial function. Results: Inter-study reproducibility was within acceptable limits for all LA and RA volumetric, strain and SR parameters. Inter-study reproducibility was better for volumetric indexes and strain than for SR parameters and better for LA than for RA dynamics. For the LA, reservoir function showed the best reproducibility (intraclass correlation coefficient (ICC) 0.94-0.97, coefficient of variation (CoV) 4.5-8.2 %), followed by conduit (ICC 0.78-0.97, CoV 8.2-18.5 %) and booster pump function (ICC 0.71-0.95, CoV 18.3-22.7). Similarly, for the RA, reproducibility was best for reservoir function (ICC 0.76-0.96, CoV 7.5-24.0 %) followed by conduit (ICC 0.67-0.91, CoV 13.9-35.9) and booster pump function (ICC 0.73-0.90, CoV 19.4-32.3). Atrial dynamics were not measurably affected by diurnal variation between morning and afternoon scans. Conclusions: Inter-study reproducibility for CMR-based derivation of LA and RA functions is acceptable using either volumetric, strain or SR parameters with LA function showing higher reproducibility than RA function assessment. Amongst the different functional components, reservoir function is most reproducibly assessed by either technique followed by conduit and booster pump function, which needs to be considered in future longitudinal research studies."],["dc.identifier.doi","10.1186/s12968-015-0140-2"],["dc.identifier.gro","3141902"],["dc.identifier.isi","000354940100001"],["dc.identifier.pmid","25982348"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12359"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/2345"],["dc.notes.intern","WoS Import 2017-03-10"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Biomed Central Ltd"],["dc.relation.eissn","1532-429X"],["dc.relation.issn","1097-6647"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Quantification of atrial dynamics using cardiovascular magnetic resonance: inter-study reproducibility"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]