Staab, Wieland

[["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.artnumber","e0193746"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Gertz, Roman Johannes"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.contributor.author","Backhaus, Sören Jan"],["dc.contributor.author","Steinmetz, Michael"],["dc.contributor.author","Staab, Wieland"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2019-07-09T11:45:26Z"],["dc.date.available","2019-07-09T11:45:26Z"],["dc.date.issued","2018"],["dc.description.abstract","AIM: Since cardiovascular magnetic resonance feature-tracking (CMR-FT) has been demonstrated to be of incremental clinical merit we investigated the interchangeability of global left and right ventricular strain parameters between different CMR-FT software solutions. MATERIAL AND METHODS: CMR-cine images of 10 patients without significant reduction in LVEF and RVEF and 10 patients with a significantly impaired systolic function were analyzed using two different types of FT-software (TomTec, Germany; QStrain, Netherlands). Global longitudinal strains (LV GLS, RV GLS), global left ventricular circumferential (GCS) and radial strains (GRS) were assessed. Differences in intra- and inter-observer variability within and between software types based on single and up to three repeated and subsequently averaged measurements were evaluated. RESULTS: Inter-vendor agreement was highest for GCS followed by LV GLS. GRS and RV GLS showed lower inter-vendor agreement. Variability was consistently higher in healthy volunteers as compared to the patient group. Intra-vendor reproducibility was excellent for GCS, LV GLS and RV GLS, but lower for GRS. The impact of repeated measurements was most pronounced for GRS and RV GLS on an intra-vendor level. CONCLUSION: Cardiac pathology has no influence on CMR-FT reproducibility. LV GLS and GCS qualify as the most robust parameters within and between individual software types. Since both parameters can be interchangeably assessed with different software solutions they may enter the clinical arena for optimized diagnostic and prognostic evaluation of cardiovascular morbidity and mortality in various pathologies."],["dc.identifier.doi","10.1371/journal.pone.0193746"],["dc.identifier.pmid","29538467"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15206"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59229"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.haserratum","/handle/2/110092"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Inter-vendor reproducibility of left and right ventricular cardiovascular magnetic resonance myocardial feature-tracking"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","60"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Edelmann, Frank"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Villa, Adriana"],["dc.contributor.author","Steinmetz, Michael"],["dc.contributor.author","Sohns, Jan Martin"],["dc.contributor.author","Staab, Wieland"],["dc.contributor.author","Bettencourt, Nuno"],["dc.contributor.author","Unterberg-Buchwald, Christina"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2017-09-07T11:45:39Z"],["dc.date.available","2017-09-07T11:45:39Z"],["dc.date.issued","2014"],["dc.description.abstract","Background: Cardiovascular Magnetic Resonance myocardial feature tracking (CMR-FT) is a quantitative technique tracking tissue voxel motion on standard steady-state free precession (SSFP) cine images to assess ventricular myocardial deformation. The importance of left atrial (LA) deformation assessment is increasingly recognized and can be assessed with echocardiographic speckle tracking. However atrial deformation quantification has never previously been demonstrated with CMR. We sought to determine the feasibility and reproducibility of CMR-FT for quantitative derivation of LA strain and strain rate (SR) myocardial mechanics. Methods: 10 healthy volunteers, 10 patients with hypertrophic cardiomyopathy (HCM) and 10 patients with heart failure and preserved ejection fraction (HFpEF) were studied at 1.5 Tesla. LA longitudinal strain and SR parameters were derived from SSFP cine images using dedicated CMR-FT software (2D CPA MR, TomTec, Germany). LA performance was analyzed using 4- and 2-chamber views including LA reservoir function (total strain [epsilon(s)], peak positive SR [SRs]), LA conduit function (passive strain [epsilon(e)], peak early negative SR [SRe]) and LA booster pump function (active strain [epsilon(a)], late peak negative SR [SRa]). Results: In all subjects LA strain and SR parameters could be derived from SSFP images. There was impaired LA reservoir function in HCM and HFpEF (epsilon(s) [%]: HCM 22.1 +/- 5.5, HFpEF 16.3 +/- 5.8, Controls 29.1 +/- 5.3, p < 0.01; SRs [s(-1)]: HCM 0.9 +/- 0.2, HFpEF 0.8 +/- 0.3, Controls 1.1 +/- 0.2, p < 0.05) and impaired LA conduit function as compared to healthy controls (epsilon(e) [%]: HCM 10.4 +/- 3.9, HFpEF 11.9 +/- 4.0, Controls 21.3 +/- 5.1, p < 0.001; SRe [s(-1)]: HCM -0.5 +/- 0.2, HFpEF -0.6 +/- 0.1, Controls -1.0 +/- 0.3, p < 0.01). LA booster pump function was increased in HCM while decreased in HFpEF (epsilon(a) [%]: HCM 11.7 +/- 4.0, HFpEF 4.5 +/- 2.9, Controls 7.8 +/- 2.5, p < 0.01; SRa [s(-1)]: HCM -1.2 +/- 0.4, HFpEF -0.5 +/- 0.2, Controls -0.9 +/- 0.3, p < 0.01). Observer variability was excellent for all strain and SR parameters on an intra- and inter-observer level as determined by Bland-Altman, coefficient of variation and intraclass correlation coefficient analyses. Conclusions: CMR-FT based atrial performance analysis reliably quantifies LA longitudinal strain and SR from standard SSFP cine images and discriminates between patients with impaired left ventricular relaxation and healthy controls. CMR-FT derived atrial deformation quantification seems a promising novel approach for the study of atrial performance and physiology in health and disease states."],["dc.identifier.doi","10.1186/s12968-014-0060-6"],["dc.identifier.gro","3142077"],["dc.identifier.isi","000341846700001"],["dc.identifier.pmid","25196447"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10814"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4289"],["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 left atrial strain and strain rate using Cardiovascular Magnetic Resonance myocardial feature tracking: a feasibility study"],["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.artnumber","101"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Steinmetz, Michael"],["dc.contributor.author","Usenbenz, Simon"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.contributor.author","Hösch, Olga"],["dc.contributor.author","Staab, Wieland"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Paul, Thomas"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2018-04-23T11:48:01Z"],["dc.date.available","2018-04-23T11:48:01Z"],["dc.date.issued","2017"],["dc.description.abstract","Background Disease progression and heart failure development in Ebstein’s Anomaly (EA) of the tricuspid valve is characterized by both right and left ventricular (LV) deterioration. The mechanisms underlying LV dysfunction and their role in heart failure development are incompletely understood. We hypothesized that LV dyssynchrony and impaired torsion and recoil mechanics induced by paradoxical movement of the basal septum may play a role in heart failure development. Methods 31 EA patients and 31 matched controls underwent prospective cardiovascular magnetic resonance (CMR). CMR feature tracking (CMR-FT) was performed on apical, midventricular and basal short-axis and 4D–volume analysis was performed using three long-axis views and a short axis cine stack employing dedicated software. Circumferential uniformity ratio estimates (CURE) time-to-peak-based circumferential systolic dyssynchrony index (C-SDI), 4D volume analysis derived SDI (4D–SDI), torsion (Tor) and systolic (sysTR) and diastolic torsion rate (diasTR) were calculated for the LV. QRS duration, brain natriuretic peptide, NYHA and Total R/L-Volume Index (R/L Index) were obtained. Results EA patients (31.5 years; controls 31.4 years) had significantly longer QRS duration (123.35 ms ± 26.36 vs. 97.33 ms ± 11.89 p < 0.01) and showed more LV dyssynchrony (4D–SDI 7.60% ± 4.58 vs. 2.54% ± 0.62, p < 0.001; CURE 0.77 ± 0.05 vs. 0.86 ± 0.03, p < 0.001; C-SDI 7.70 ± 3.38 vs. 3.80 ± 0.91, p = 0.001). There were significant associations of LV dyssynchrony with heart failure parameters and QRS duration. Although torsion and recoil mechanics did not differ significantly (p > 0.05) there was an association of torsion and recoil mechanics with dyssynchrony parameters CURE (sysTR r = −0.426; p = 0.017, diasTR r = 0.419; p = 0.019), 4D–SDI (sysTR r = 0.383; p = 0.044) and C-SDI (diasTR r = −0.364; p = 0.044). Conclusions EA is characterized by LV intra-ventricular dyssynchrony, which is associated with heart failure and disease severity parameters. Markers of dyssynchrony can easily be quantified from CMR-FT, and may have a role in the assessment of altered cardiac function, carrying potential management implications for EA patients."],["dc.identifier.doi","10.1186/s12968-017-0414-y"],["dc.identifier.gro","3142317"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15158"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13450"],["dc.language.iso","en"],["dc.notes.intern","lifescience updates Crossref Import"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/16984 but duplicate"],["dc.notes.status","final"],["dc.relation.issn","1532-429X"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)."],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Left ventricular synchrony, torsion, and recoil mechanics in Ebstein’s anomaly: insights from cardiovascular magnetic resonance"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]