Schuster, Andreas

[["dc.bibliographiccitation.artnumber","74"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Villa, Adriana D M"],["dc.contributor.author","Corsinovi, Laura"],["dc.contributor.author","Ntalas, Ioannis"],["dc.contributor.author","Milidonis, Xenios"],["dc.contributor.author","Scannell, Cian"],["dc.contributor.author","Di Giovine, Gabriella"],["dc.contributor.author","Child, Nicholas"],["dc.contributor.author","Ferreira, Catarina"],["dc.contributor.author","Nazir, Muhummad S"],["dc.contributor.author","Karady, Julia"],["dc.contributor.author","Eshja, Esmeralda"],["dc.contributor.author","De Francesco, Viola"],["dc.contributor.author","Bettencourt, Nuno"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Ismail, Tevfik F"],["dc.contributor.author","Razavi, Reza"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.date.accessioned","2019-07-09T11:49:34Z"],["dc.date.available","2019-07-09T11:49:34Z"],["dc.date.issued","2018"],["dc.description.abstract","Abstract Background Clinical evaluation of stress perfusion cardiovascular magnetic resonance (CMR) is currently based on visual assessment and has shown high diagnostic accuracy in previous clinical trials, when performed by expert readers or core laboratories. However, these results may not be generalizable to clinical practice, particularly when less experienced readers are concerned. Other factors, such as the level of training, the extent of ischemia, and image quality could affect the diagnostic accuracy. Moreover, the role of rest images has not been clarified. The aim of this study was to assess the diagnostic accuracy of visual assessment for operators with different levels of training and the additional value of rest perfusion imaging, and to compare visual assessment and automated quantitative analysis in the assessment of coronary artery disease (CAD). Methods We evaluated 53 patients with known or suspected CAD referred for stress-perfusion CMR. Nine operators (equally divided in 3 levels of competency) blindly reviewed each case twice with a 2-week interval, in a randomised order, with and without rest images. Semi-automated Fermi deconvolution was used for quantitative analysis and estimation of myocardial perfusion reserve as the ratio of stress to rest perfusion estimates. Results Level-3 operators correctly identified significant CAD in 83.6% of the cases. This percentage dropped to 65.7% for Level-2 operators and to 55.7% for Level-1 operators (p < 0.001). Quantitative analysis correctly identified CAD in 86.3% of the cases and was non-inferior to expert readers (p = 0.56). When rest images were available, a significantly higher level of confidence was reported (p = 0.022), but no significant differences in diagnostic accuracy were measured (p = 0.34). Conclusions Our study demonstrates that the level of training is the main determinant of the diagnostic accuracy in the identification of CAD. Level-3 operators performed at levels comparable with the results from clinical trials. Rest images did not significantly improve diagnostic accuracy, but contributed to higher confidence in the results. Automated quantitative analysis performed similarly to level-3 operators. This is of increasing relevance as recent technical advances in image reconstruction and analysis techniques are likely to permit the clinical translation of robust and fully automated quantitative analysis into routine clinical practice."],["dc.identifier.doi","10.1186/s12968-018-0493-4"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15713"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59582"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","BioMed Central"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Importance of operator training and rest perfusion on the diagnostic accuracy of stress perfusion cardiovascular magnetic resonance"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e0202146"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","PLoS One"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Stiermaier, Thomas"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Möller, Christian"],["dc.contributor.author","Graf, Tobias"],["dc.contributor.author","Raaz, Uwe"],["dc.contributor.author","Villa, Adriana"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Thiele, Holger"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Eitel, Ingo"],["dc.contributor.editor","Novo, Giuseppina"],["dc.date.accessioned","2020-12-10T18:42:08Z"],["dc.date.available","2020-12-10T18:42:08Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1371/journal.pone.0202146"],["dc.identifier.eissn","1932-6203"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15691"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77819"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Right ventricular strain assessment by cardiovascular magnetic resonance myocardial feature tracking allows optimized risk stratification in Takotsubo syndrome"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","44"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Hussain, Shazia T."],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Morton, Geraint"],["dc.contributor.author","Bettencourt, Nuno"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Paul, Matthias"],["dc.contributor.author","Perera, Divaka"],["dc.contributor.author","Nagel, Eike"],["dc.date.accessioned","2019-07-09T11:42:50Z"],["dc.date.available","2019-07-09T11:42:50Z"],["dc.date.issued","2016"],["dc.description.abstract","Abstract Background Perfusion cardiovascular magnetic resonance (CMR) and fractional flow reserve (FFR) are emerging as the most accurate tools for the assessment of myocardial ischemia noninvasively or in the catheter laboratory. However, there is limited data comparing CMR and FFR in patients with multi-vessel disease. This study aims to evaluate the correlation between myocardial ischemia detected by CMR with FFR in patients with multivessel coronary disease at angiography. Methods and results Forty-one patients (123 vascular territories) with angiographic 2- or 3-vessel coronary artery disease (visual stenosis >50 %) underwent high-resolution adenosine stress perfusion CMR at 1.5 T and FFR measurement. An FFR value of <0.75 was considered significant. On a per patient basis, CMR and FFR detected identical ischemic territories in 19 patients (46 %) (mean number of territories 0.7+/−0.7 in both (p = 1.0)). On a per vessel basis, 89 out of 123 territories demonstrated concordance between the CMR and FFR results (72 %). In 34 % of the study population, CMR resulted in fewer ischemic territories than FFR; in 12 % CMR resulted in more ischemic territories than FFR. There was good concordance between the two methods to detect myocardial ischemia on a per-patient (k =0.658 95 % CI 0.383-0.933) level and moderate concordance on a per-vessel (k = 0.453 95 % CI 0.294–0.612) basis. Conclusions There is good concordance between perfusion CMR and FFR for the identification of myocardial ischemia in patients with multi-vessel disease. However, some discrepancy remains and at this stage it is unclear whether CMR underestimates or FFR overestimates the number of ischemic segments in multi-vessel disease."],["dc.identifier.doi","10.1186/s12968-016-0263-0"],["dc.identifier.pmid","27430288"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13849"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58761"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Perfusion cardiovascular magnetic resonance and fractional flow reserve in patients with angiographic multi-vessel coronary artery disease"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["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"]]

[["dc.bibliographiccitation.artnumber","UNSP e0122858"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Paul, Matthias"],["dc.contributor.author","Bettencourt, Nuno"],["dc.contributor.author","Hussain, Shazia T."],["dc.contributor.author","Morton, Geraint"],["dc.contributor.author","Kutty, Shelby"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Perera, Divaka"],["dc.contributor.author","Nagel, Eike"],["dc.contributor.author","Beerbaum, Philipp"],["dc.date.accessioned","2018-11-07T09:58:37Z"],["dc.date.available","2018-11-07T09:58:37Z"],["dc.date.issued","2015"],["dc.description.abstract","Objectives To determine whether quantitative wall motion assessment by CMR myocardial feature tracking (CMR-FT) would reduce the impact of observer experience as compared to visual analysis in patients with ischemic cardiomyopathy (ICM). Methods 15 consecutive patients with ICM referred for assessment of hibernating myocardium were studied at 3 Tesla using SSFP cine images at rest and during low dose dobutamine stress (5 and 10 mu g/kg/min of dobutamine). Conventional visual, qualitative analysis was performed independently and blinded by an experienced and an inexperienced reader, followed by post-processing of the same images by CMR-FT to quantify subendocardial and subepicardial circumferential (Ecc(endo) and Ecc(epi)) and radial (Err) strain. Receiver operator characteristics (ROC) were assessed for each strain parameter and operator to detect the presence of inotropic reserve as visually defined by the experienced observer. Results 141 segments with wall motion abnormalities at rest were eligible for the analysis. Visual scoring of wall motion at rest and during dobutamine was significantly different between the experienced and the inexperienced observer (p<0.001). All strain values (Ecc(endo), Ecc(epi) and Err) derived during dobutamine stress (5 and 10 mu g/kg/min) showed similar diagnostic accuracy for the detection of contractile reserve for both operators with no differences in ROC (p>0.05). Eccendo was the most accurate (AUC of 0.76, 10 mu g/kg/min of dobutamine) parameter. Diagnostic accuracy was worse for resting strain with differences between operators for Eccendo and Eccepi (p<0.05) but not Err (p>0.05). Conclusion Whilst visual analysis remains highly dependent on operator experience, quantitative CMR-FT analysis of myocardial wall mechanics during DS-CMR provides diagnostic accuracy for the detection of inotropic reserve regardless of operator experience and hence may improve diagnostic robustness of low-dose DS-CMR in clinical practice."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2015"],["dc.identifier.doi","10.1371/journal.pone.0122858"],["dc.identifier.isi","000352477800166"],["dc.identifier.pmid","25848764"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11764"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37400"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["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","Myocardial Feature Tracking Reduces Observer-Dependence in Low-Dose Dobutamine Stress Cardiovascular Magnetic Resonance"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["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","65"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","14"],["dc.contributor.author","Hussain, Shazia T."],["dc.contributor.author","Paul, Matthias"],["dc.contributor.author","Plein, Sven"],["dc.contributor.author","McCann, Gerry P."],["dc.contributor.author","Shah, Ajay M."],["dc.contributor.author","Marber, Michael S."],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Morton, Geraint"],["dc.contributor.author","Redwood, Simon R."],["dc.contributor.author","MacCarthy, Philip"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Ishida, Masaki"],["dc.contributor.author","Westwood, Mark A."],["dc.contributor.author","Perera, Divaka"],["dc.contributor.author","Nagel, Eike"],["dc.date.accessioned","2018-11-07T09:05:48Z"],["dc.date.available","2018-11-07T09:05:48Z"],["dc.date.issued","2012"],["dc.description.abstract","Background: In patients with stable coronary artery disease (CAD), decisions regarding revascularisation are primarily driven by the severity and extent of coronary luminal stenoses as determined by invasive coronary angiography. More recently, revascularisation decisions based on invasive fractional flow reserve (FFR) have shown improved event free survival. Cardiovascular magnetic resonance (CMR) perfusion imaging has been shown to be non-inferior to nuclear perfusion imaging in a multi-centre setting and superior in a single centre trial. In addition, it is similar to invasively determined FFR and therefore has the potential to become the non-invasive test of choice to determine need for revascularisation. Trial design: The MR-INFORM study is a prospective, multi-centre, randomised controlled non-inferiority, outcome trial. The objective is to compare the efficacy of two investigative strategies for the management of patients with suspected CAD. Patients presenting with stable angina are randomised into two groups: 1) The FFR-INFORMED group has subsequent management decisions guided by coronary angiography and fractional flow reserve measurements. 2) The MR-INFORMED group has decisions guided by stress perfusion CMR. The primary end-point will be the occurrence of major adverse cardiac events (death, myocardial infarction and repeat revascularisation) at one year. Clinical trials.gov identifier NCT01236807. Conclusion: MR INFORM will assess whether an initial strategy of CMR perfusion is non-inferior to invasive angiography supplemented by FFR measurements to guide the management of patients with stable coronary artery disease. Non-inferiority of CMR perfusion imaging to the current invasive reference standard (FFR) would establish CMR perfusion imaging as an attractive non-invasive alternative to current diagnostic pathways."],["dc.identifier.doi","10.1186/1532-429X-14-65"],["dc.identifier.isi","000315378600001"],["dc.identifier.pmid","22992411"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8467"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/25409"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1097-6647"],["dc.rights","CC BY 2.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.0"],["dc.title","Design and rationale of the MR-INFORM study: stress perfusion cardiovascular magnetic resonance imaging to guide the management of patients with stable coronary artery disease"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","204800401771014"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","JRSM Cardiovascular Disease"],["dc.bibliographiccitation.lastpage","8"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Kowallick, Johannes T."],["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","Chiribiri, Amedeo"],["dc.contributor.author","Nagel, Eike"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2018-04-23T11:48:18Z"],["dc.date.available","2018-04-23T11:48:18Z"],["dc.date.issued","2017"],["dc.description.abstract","Objectives: To determine the inter-study reproducibility of left ventricular (LV) mechanical dyssynchrony measures based on standard cardiovascular magnetic resonance (CMR) cine images. Design: Steady-state free precession (SSFP) LV short-axis stacks and three long-axes were acquired on the same day at three time points. Circumferential strain systolic dyssynchrony indexes (SDI), area-SDI as well as circumferential and radial uniformity ratio estimates (CURE and RURE, respectively) were derived from CMR myocardial feature-tracking (CMR-FT) based on the tracking of three SSFP short-axis planes. Furthermore, 4D-LV-analysis based on SSFP short-axis stacks and longitudinal planes was performed to quantify 4D-volume-SDI. Setting: A single-centre London teaching hospital. Participants: 16 healthy volunteers. Main outcome measures: Inter-study reproducibility between the repeated exams. Results: CURE and RURE as well as 4D-volume-SDI showed good inter-study reproducibility (coefficient of variation [CoV] 6.4%–12.9%). Circumferential strain and area-SDI showed higher variability between the repeated measurements (CoV 24.9%–37.5%). Uniformity ratio estimates showed the lowest inter-study variability (CoV 6.4%–8.5%). Conclusions: Derivation of LV mechanical dyssynchrony measures from standard cine images is feasible using CMR-FT and 4D-LV-analysis tools. Uniformity ratio estimates and 4D-volume-SDI showed good inter-study reproducibility. Their clinical value should next be explored in patients who potentially benefit from cardiac resynchronization therapy."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2017"],["dc.identifier.doi","10.1177/2048004017710142"],["dc.identifier.gro","3142346"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14508"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13482"],["dc.language.iso","en"],["dc.notes.intern","lifescience updates Crossref Import"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","2048-0040"],["dc.rights","CC BY-NC 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc/4.0"],["dc.title","Quantitative assessment of left ventricular mechanical dyssynchrony using cine cardiovascular magnetic resonance imaging: Inter-study reproducibility"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","82"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Magnetic Resonance"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Zarinabad, Niloufar"],["dc.contributor.author","Ishida, Masaki"],["dc.contributor.author","Sinclair, Matthew"],["dc.contributor.author","van den Wijngaard, Jeroen P. H. M."],["dc.contributor.author","Morton, Geraint"],["dc.contributor.author","Hautvast, Gilion L. T. F."],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","van Horssen, Pepijn"],["dc.contributor.author","Smith, Nicolas P."],["dc.contributor.author","Spaan, Jos A. E."],["dc.contributor.author","Siebes, Maria"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Nagel, Eike"],["dc.date.accessioned","2018-11-07T09:33:39Z"],["dc.date.available","2018-11-07T09:33:39Z"],["dc.date.issued","2014"],["dc.description.abstract","Background: Cardiovascular Magnetic Resonance (CMR) myocardial perfusion imaging has the potential to evolve into a method allowing full quantification of myocardial blood flow (MBF) in clinical routine. Multiple quantification pathways have been proposed. However at present it remains unclear which algorithm is the most accurate. An isolated perfused, magnetic resonance (MR) compatible pig heart model allows very accurate titration of MBF and in combination with high-resolution assessment of fluorescently-labeled microspheres represents a near optimal platform for validation. We sought to investigate which algorithm is most suited to quantify myocardial perfusion by CMR at 1.5 and 3 Tesla using state of the art CMR perfusion techniques and quantification algorithms. Methods: First-pass perfusion CMR was performed in an MR compatible blood perfused pig heart model. We acquired perfusion images at physiological flow (\"rest\"), reduced flow (\"ischaemia\") and during adenosine-induced hyperaemia (\"hyperaemia\") as well as during coronary occlusion. Perfusion CMR was performed at 1.5 Tesla (n = 4 animals) and at 3 Tesla (n = 4 animals). Fluorescently-labeled microspheres and externally controlled coronary blood flow served as reference standards for comparison of different quantification strategies, namely Fermi function deconvolution (Fermi), autoregressive moving average modelling (ARMA), exponential basis deconvolution (Exponential) and B-spline basis deconvolution (B-spline). Results: All CMR derived MBF estimates significantly correlated with microsphere results. The best correlation was achieved with Fermi function deconvolution both at 1.5 Tesla (r = 0.93, p < 0.001) and at 3 Tesla (r = 0.9, p < 0.001). Fermi correlated significantly better with the microspheres than all other methods at 3 Tesla (p < 0.002). B-spline performed worse than Fermi and Exponential at 1.5 Tesla and showed the weakest correlation to microspheres (r = 0.74, p < 0.001). All other comparisons were not significant. At 3 Tesla exponential deconvolution performed worst (r = 0.49, p < 0.001). Conclusions: CMR derived quantitative blood flow estimates correlate with true myocardial blood flow in a controlled animal model. Amongst the different techniques, Fermi function deconvolution was the most accurate technique at both field strengths. Perfusion CMR based on Fermi function deconvolution may therefore emerge as a useful clinical tool providing accurate quantitative blood flow assessment."],["dc.identifier.doi","10.1186/s12968-014-0082-0"],["dc.identifier.isi","000344191500001"],["dc.identifier.pmid","25315438"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10984"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/32014"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","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","Quantitative assessment of magnetic resonance derived myocardial perfusion measurements using advanced techniques: microsphere validation in an explanted pig heart system"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","117"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Cardiovascular Computed Tomography"],["dc.bibliographiccitation.lastpage","124"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Otton, James"],["dc.contributor.author","Morton, Geraint"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","Marano, Riccardo"],["dc.contributor.author","Olivotti, Luca"],["dc.contributor.author","Nagel, Eike"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.date.accessioned","2018-11-07T09:27:13Z"],["dc.date.available","2018-11-07T09:27:13Z"],["dc.date.issued","2013"],["dc.description.abstract","Background: Direct comparison of CT and magnetic resonance (MR) perfusion techniques has been limited and in vivo assessment is affected by physiological variability, timing of image acquisition, and parameter selection. Objective: We precisely compared high-resolution k-t SENSE MR cardiac perfusion at 3 T with single-phase CT perfusion (CTP) under identical imaging conditions. Methods: We used a customized MR imaging and CT compatible dynamic myocardial perfusion phantom to represent the human circulation. CT perfusion studies were performed with a Philips iCT (256 slice) CT, with isotropic resolution of 0.6 mm(3). MR perfusion was performed with k-t SENSE acceleration at 3 T and spatial resolution of 1.2 x 1.2 x 10 mm. The image contrast between normal and underperfused myocardial compartments was quantified at various perfusion and photon energy settings. Noise estimates were based on published clinical data. Results: Contrast by CTP highly depends on photon energy and also timing of imaging within the myocardial perfusion upslope. For an identical myocardial perfusion deficit, the native image contrast-to-noise ratio (CNR) generated by CT and MR are similar. If slice averaging is used, the CNR of a perfusion deficit is expected to be greater for CTP than MR perfusion (MRP). Perfect timing during single time point CTP imaging is difficult to achieve, and CNR by CT decreases by 24%-31% two seconds from the optimal imaging time point. Although single-phase CT perfusion offers higher spatial resolution, MRP allows multiple time point sampling and quantitative analysis. Conclusion: The ability of CTP and current optimal MRP techniques to detect simulated myocardial perfusion deficits is similar. Crown Copyright (c) 2013 Published by Elsevier Inc. on behalf of Society of Cardiovascular Computed Tomography. All rights reserved."],["dc.identifier.doi","10.1016/j.jcct.2013.01.016"],["dc.identifier.isi","000318469800008"],["dc.identifier.pmid","23622506"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11340"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/30485"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","1934-5925"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","A direct comparison of the sensitivity of CT and MR cardiac perfusion using a myocardial perfusion phantom"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]