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.firstpage","59"],["dc.bibliographiccitation.journal","Microvascular Research"],["dc.bibliographiccitation.lastpage","70"],["dc.bibliographiccitation.volume","100"],["dc.contributor.author","Sinclair, Matthew"],["dc.contributor.author","Lee, Jack"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","van den Wijngaard, Jeroen P. H. M."],["dc.contributor.author","van Horssen, Pepijn"],["dc.contributor.author","Siebes, Maria"],["dc.contributor.author","Spaan, Jos A. E."],["dc.contributor.author","Nagel, Eike"],["dc.contributor.author","Smith, Nicolas P."],["dc.date.accessioned","2018-11-07T09:55:25Z"],["dc.date.available","2018-11-07T09:55:25Z"],["dc.date.issued","2015"],["dc.description.abstract","Particle skimming is a phenomenon where particles suspended in fluid flowing through vessels distribute disproportionately to bulk fluid volume at junctions. Microspheres are considered a gold standard of intra-organ perfusion measurements and are used widely in studies of flow distribution and quantification. It has previously been hypothesised that skimming at arterial junctions is responsible for a systematic overestimation of myocardial perfusion from microspheres at the subendocardium. Our objective is to integrate coronary arterial structure and microsphere distribution, imaged at high resolution, to test the hypothesis of microsphere skimming in a porcine left coronary arterial (LCA) network. A detailed network was reconstructed from cryomicrotome imaging data and a Poiseuille flow model was used to simulate flow. A statistical approach using Clopper-Pearson confidence intervals was applied to determine the prevalence of skimming at bifurcations in the LCA. Results reveal that microsphere skimming is most prevalent at bifurcations in the larger coronary arteries, namely the epicardial and transmural arteries. Bifurcations at which skimming was identified have significantly more asymmetric branching parameters. This finding suggests that when using thin transmural segments to quantify flow from microspheres, a skimming-related deposition bias may result in underestimation of perfusion in the subepicardium, and overestimation in the subendocardium. (C) 2015 Elsevier Inc All rights reserved."],["dc.identifier.doi","10.1016/j.mvr.2015.04.005"],["dc.identifier.isi","000356398100010"],["dc.identifier.pmid","25963318"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/36736"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Academic Press Inc Elsevier Science"],["dc.relation.issn","1095-9319"],["dc.relation.issn","0026-2862"],["dc.title","Microsphere skimming in the porcine coronary arteries: Implications for flow quantification"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1589"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","The International Journal of Cardiovascular Imaging"],["dc.bibliographiccitation.lastpage","1597"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Ponte, Marta"],["dc.contributor.author","Bettencourt, Nuno"],["dc.contributor.author","Pereira, Eulalia"],["dc.contributor.author","Ferreira, Nuno Dias"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Albuquerque, Anibal"],["dc.contributor.author","Gama, Vasco"],["dc.contributor.author","Nagel, Eike"],["dc.date.accessioned","2018-11-07T09:32:14Z"],["dc.date.available","2018-11-07T09:32:14Z"],["dc.date.issued","2014"],["dc.description.abstract","Computed tomography coronary angiography (CTA) and cardiac magnetic resonance myocardial perfusion imaging (CMR-MPI) are state-of-the-art tools for noninvasive assessment of coronary artery disease (CAD). We aimed to compare the diagnostic accuracy of CTA and CMR-MPI for the detection of functionally relevant CAD, using invasive coronary angiography (XA) with fractional flow reserve (FFR) as a reference standard, and to evaluate the best protocol integrating these techniques for assessment of patients with suspected CAD. 95 patients (68 % men; 62 +/- A 8.1 years) with intermediate pre-test probability (PTP) of CAD underwent a sequential protocol of CTA, CMR-MPI and XA. Significant CAD was defined as > 90 % coronary stenosis, 40-90 % stenosis with FFR a parts per thousand currency sign 0.80 or left main stenosis a parts per thousand yen50 %. Prevalence of significant CAD was 43 %. CTA was more sensitive (100 %) but less specific (59 %) than CMR-MPI (88 and 89 %, respectively) for detection of significant CAD, with a strong trend for higher global diagnostic accuracy of CMR-MPI (88 vs. 77 %, p = 0.05). An integrated approach based on an initial CTA and subsequent referral to CMR-MPI of positive/inconclusive results had the best diagnostic performance (AUC 0.91). The direct referral to XA of patients with positive/inconclusive CTA performed worse than a selective approach based on CMR-MPI results (AUC 0.80 vs. 0.91, p = 0.005). In this intermediate PTP population, CMR-MPI showed a strong trend toward better performance compared to CTA for the assessment of functionally significant CAD. A combined protocol integrating coronary anatomy and function seems to be a very effective approach in the accurate diagnosis of CAD."],["dc.identifier.doi","10.1007/s10554-014-0492-y"],["dc.identifier.isi","000345093100023"],["dc.identifier.pmid","25082645"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31710"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","1573-0743"],["dc.relation.issn","1569-5794"],["dc.title","Anatomical versus functional assessment of coronary artery disease: direct comparison of computed tomography coronary angiography and magnetic resonance myocardial perfusion imaging in patients with intermediate pre-test probability"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["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.firstpage","600"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","JACC Cardiovascular Imaging"],["dc.bibliographiccitation.lastpage","609"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Hautvast, Gilion L. T. F."],["dc.contributor.author","Lockie, Timothy"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","Olivotti, Luca"],["dc.contributor.author","Redwood, Simon R."],["dc.contributor.author","Breeuwer, Marcel"],["dc.contributor.author","Plein, Sven"],["dc.contributor.author","Nagel, Eike"],["dc.date.accessioned","2018-11-07T09:24:59Z"],["dc.date.available","2018-11-07T09:24:59Z"],["dc.date.issued","2013"],["dc.description.abstract","OBJECTIVES This study sought to test the hypothesis that transmural perfusion gradients (TPG) on adenosine stress myocardial perfusion cardiac magnetic resonance (CMR) predict hemodynamically significant coronary artery disease (CAD) as defined by fractional flow reserve (FFR). BACKGROUND Myocardial ischemia affects the subendocardial layers of the left ventricular myocardium earlier and more severely than the outer layers, and the identification of TPG should be sensitive and specific for the diagnosis of CAD. Previous studies have shown that high spatial resolution myocardial perfusion CMR allows quantitation of TPG between the subendocardium and the subepicardium. METHODS Sixty-seven patients (53 men, age 61 +/- 9 years) underwent coronary angiography and high-resolution (1.2 x 1.2-mm in-plane) adenosine stress perfusion CMR at 3.0-1. TPG was calculated for 3 coronary territories. Visual analysis was performed to identify myocardial ischemia. FFR was measured in all vessels with >= 50% severity stenosis. FFR <0.8 was considered hemodynamically significant. In a training group of 30 patients, the optimal threshold of TPG to detect significant CAD was determined (Group 1). This threshold was then tested prospectively in the remaining 37 patients (Group 2). RESULTS In Group 1, a 20% TPG provided the best diagnostic threshold on both per-segment and per-patient analysis. Applied to Group 2, this threshold yielded a sensitivity of 0.78, specificity of 0.94, and area under the curve of 0.86 for the detection of CAD in a per-segment analysis and of 0.89, 0.83, and 0.86 in a per-patient analysis, respectively. TPG had a similar diagnostic accuracy to visual assessment. Linear regression analysis showed a relationship between TPG and FFR values, with r = 0.63 (p < 0.001). CONCLUSIONS The quantitative analysis of transmural perfusion gradients on high-resolution myocardial perfusion CMR accurately predicts hemodynamically significant CAD as defined by FFR. A TPG diagnostic threshold of 20% is as accurate as visual assessment. (J Am Coll Cardiol Img 2013;6: 600-9) (C) 2013 by the American College of Cardiology Foundation"],["dc.identifier.doi","10.1016/j.jcmg.2012.09.019"],["dc.identifier.isi","000319648600010"],["dc.identifier.pmid","23582358"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/29961"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","1936-878X"],["dc.title","Assessment of Coronary Artery Stenosis Severity and Location Quantitative Analysis of Transmural Perfusion Gradients by High-Resolution MRI Versus FFR"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1059"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","European Heart Journal - Cardiovascular Imaging"],["dc.bibliographiccitation.lastpage","1069"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Backhaus, Sören J"],["dc.contributor.author","Stiermaier, Thomas"],["dc.contributor.author","Lange, Torben"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Uhlig, Johannes"],["dc.contributor.author","Freund, Anne"],["dc.contributor.author","Kowallick, Johannes T"],["dc.contributor.author","Gertz, Roman J"],["dc.contributor.author","Bigalke, Boris"],["dc.contributor.author","Villa, Adriana"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Thiele, Holger"],["dc.contributor.author","Eitel, Ingo"],["dc.contributor.author","Schuster, Andreas"],["dc.date.accessioned","2020-12-10T18:18:53Z"],["dc.date.available","2020-12-10T18:18:53Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1093/ehjci/jey219"],["dc.identifier.eissn","2047-2412"],["dc.identifier.issn","2047-2404"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/75107"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Atrial mechanics and their prognostic impact in Takotsubo syndrome: a cardiovascular magnetic resonance imaging study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","4160"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","International Journal of Cardiology"],["dc.bibliographiccitation.lastpage","4167"],["dc.bibliographiccitation.volume","168"],["dc.contributor.author","Pereira, Eulalia"],["dc.contributor.author","Bettencourt, Nuno"],["dc.contributor.author","Ferreira, Nuno"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.contributor.author","Primo, Joao"],["dc.contributor.author","Teixeira, Madalena"],["dc.contributor.author","Simoes, Lino"],["dc.contributor.author","Leite-Moreira, Adelino F."],["dc.contributor.author","Silva-Cardoso, Jose"],["dc.contributor.author","Gama, Vasco"],["dc.contributor.author","Nagel, Eike"],["dc.date.accessioned","2018-11-07T09:18:42Z"],["dc.date.available","2018-11-07T09:18:42Z"],["dc.date.issued","2013"],["dc.description.abstract","Introduction: Cardiac magnetic resonance myocardial perfusion imaging (CMR-MPI) is considered a stateof- the-art non-invasive modality for ischemia detection but its additive value in a multiple-test strategy in patients with suspected coronary artery disease (CAD) is not fully validated. We aimed to evaluate CMR-MPI integration with exercise treadmill test (ETT) for the diagnostic workup of patients with suspected CAD, having invasive fractional flow reserve (FFR) as reference standard. Methods: In this prospective single-center study, patients with suspected CAD underwent sequential ETT, CMR-MPI and X-ray invasive coronary angiography (XA). Significant CAD was defined by the presence of stenosis N40% with FFR <= 0.8 in vessels >2 mmor >= 90% stenosis/occlusion. Results: 80 symptomatic patients (68% male, 61 +/- 8 years) were enrolled. Compared to ETT, CMR-MPI showed similar sensitivity (81%) and higher specificity (93 vs. 58%, p < 0.001) for CAD detection (prevalence = 46%) translating into better diagnostic performance (AUC 0.87 vs. 0.70; p = 0.002). CMR-MPI improved accuracy independently of ETT in all patients with high pre-test probability and in intermediate-probability patients but those with a clearly positive-ETT (symptoms + ST-shift), in whom ETT correctly identified CAD. In the lowprobability group CMR-MPI was useful as a gatekeeper for XA after a positive-ETT. The best integrating protocol achieved a global accuracy of 89% (AUC 0.88) and was clearly superior to an approach based solely in ETT (AUC 0.70, p < 0.001), yet similar to isolated CMR-MPI (AUC 0.87, p = ns). Conclusions: CMR-MPI has high sensitivity and specificity for CAD detection and may be combined with ETT in a diagnostic workflow aiming to increase accuracy and reduce the number of unnecessary catheterizations. (C) 2013 Elsevier Ireland Ltd. All rights reserved."],["dc.description.sponsorship","British Heart Foundation [FS/10/029/28253]"],["dc.identifier.doi","10.1016/j.ijcard.2013.07.114"],["dc.identifier.isi","000326219600165"],["dc.identifier.pmid","23948111"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/28465"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Ireland Ltd"],["dc.relation.issn","1874-1754"],["dc.relation.issn","0167-5273"],["dc.title","Incremental value of adenosine stress cardiac magnetic resonance in coronary artery disease detection"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["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.firstpage","1082"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","European Heart Journal - Cardiovascular Imaging"],["dc.bibliographiccitation.lastpage","1092"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Schuster, Andreas"],["dc.contributor.author","Sinclair, Matthew"],["dc.contributor.author","Zarinabad, Niloufar"],["dc.contributor.author","Ishida, Masaki"],["dc.contributor.author","van den Wijngaard, Jeroen P. H. M."],["dc.contributor.author","Paul, Matthias"],["dc.contributor.author","van Horssen, Pepijn"],["dc.contributor.author","Hussain, Shazia T."],["dc.contributor.author","Perera, Divaka"],["dc.contributor.author","Schaeffter, Tobias"],["dc.contributor.author","Spaan, Jos A. E."],["dc.contributor.author","Siebes, Maria"],["dc.contributor.author","Nagel, Eike"],["dc.contributor.author","Chiribiri, Amedeo"],["dc.date.accessioned","2018-11-07T09:50:25Z"],["dc.date.available","2018-11-07T09:50:25Z"],["dc.date.issued","2015"],["dc.description.abstract","Aims To assess the feasibility of high-resolution quantitative cardiovascular magnetic resonance (CMR) voxel-wise perfusion imaging using clinical 1.5 and 3 T sequences and to validate it using fluorescently labelled microspheres in combination with a state of the art imaging cryomicrotome in a novel, isolated blood-perfused MR-compatible free beating pig heart model without respiratory motion. Methods and results MR perfusion imaging was performed in pig hearts at 1.5 (n = 4) and 3 T (n = 4). Images were acquired at physiological flow ('rest'), reduced flow ('ischaemia'), and during adenosine-induced hyperaemia ('stress') in control and coronary occlusion conditions. Fluorescently labelled microspheres and known coronary myocardial blood flow represented the reference standards for quantitative perfusion validation. For the comparison with microspheres, the LV was divided into 48 segments based on a subdivision of the 16 AHA segments into subendocardial, midmyocardial, and subepicardial subsegments. Perfusion quantification of the time-signal intensity curves was performed using a Fermi function deconvolution. High-resolution quantitative voxel-wise perfusion assessment was able to distinguish between occluded and remote myocardium (P < 0.001) and between rest, ischaemia, and stress perfusion conditions at 1.5 T (P < 0.001) and at 3 T (P < 0.001). CMR-MBF estimates correlated well with the microspheres at the AHA segmental level at 1.5 T (r = 0.94, P < 0.001) and at 3 T (r = 0.96, P < 0.001) and at the subendocardial, midmyocardial, and subepicardial level at 1.5 T (r = 0.93, r = 0.9, r = 0.88, P < 0.001, respectively) and at 3 T (r = 0.91, r = 0.95, r = 0.84, P < 0.001, respectively). Conclusion CMR-derived voxel-wise quantitative blood flow assessment is feasible and very accurate compared with microspheres. This technique is suitable for both clinically used field strengths and may provide the tools to assess extent and severity of myocardial ischaemia."],["dc.identifier.doi","10.1093/ehjci/jev023"],["dc.identifier.isi","000366586000006"],["dc.identifier.pmid","25812572"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35708"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Oxford Univ Press"],["dc.relation.issn","2047-2412"],["dc.relation.issn","2047-2404"],["dc.title","A quantitative high resolution voxel-wise assessment of myocardial blood flow from contrast-enhanced first-pass magnetic resonance perfusion imaging: microsphere validation in a magnetic resonance compatible free beating explanted pig heart model"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]