A novel multiparametric imaging approach to acute myocarditis using T2-mapping and CMR feature tracking

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dc.identifier.uri http://dx.doi.org/10.15488/2092
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/2117
dc.contributor.author Baeßler, Bettina
dc.contributor.author Treutlein, Melanie
dc.contributor.author Schaarschmidt, Frank
dc.contributor.author Stehning, Christian
dc.contributor.author Schnackenburg, Bernhard
dc.contributor.author Michels, Guido
dc.contributor.author Maintz, David
dc.contributor.author Bunck, Alexander C.
dc.date.accessioned 2017-10-24T08:01:08Z
dc.date.available 2017-10-24T08:01:08Z
dc.date.issued 2017
dc.identifier.citation Baeßler, B.; Treutlein, M.; Schaarschmidt, F.; Stehning, C.; Schnackenburg, B. et al.: A novel multiparametric imaging approach to acute myocarditis using T2-mapping and CMR feature tracking. In: Journal of Cardiovascular Magnetic Resonance 19 (2017), Nr. 1, 71. DOI: https://doi.org/10.1186/s12968-017-0387-x
dc.description.abstract Background: The aim of this study was to evaluate the diagnostic potential of a novel cardiovascular magnetic resonance (CMR) based multiparametric imaging approach in suspected myocarditis and to compare it to traditional Lake Louise criteria (LLC). Methods: CMR data from 67 patients with suspected acute myocarditis were retrospectively analyzed. Seventeen age- and gender-matched healthy subjects served as control. T2-mapping data were acquired using a Gradient-Spin-Echo T2-mapping sequence in short-axis orientation. T2-maps were segmented according to the 16-segments AHA-model and segmental T2 values and pixel-standard deviation (SD) were recorded. Afterwards, the parameters maxT2 (the highest segmental T2 value) and madSD (the mean absolute deviation (MAD) of the pixel-SDs) were calculated for each subject. Cine sequences in three long axes and a stack of short-axis views covering the left and right ventricle were analyzed using a dedicated feature tracking algorithm. Results: A multiparametric imaging model containing madSD and LV global circumferential strain (GCSLV) resulted in the highest diagnostic performance in receiver operating curve analyses (area under the curve [AUC] 0.84) when compared to any model containing a single imaging parameter or to LLC (AUC 0.79). Adding late gadolinium enhancement (LGE) to the model resulted in a further increased diagnostic performance (AUC 0.93) and yielded the highest diagnostic sensitivity of 97% and specificity of 77%. Conclusions: A multiparametric CMR imaging model including the novel T2-mapping derived parameter madSD, the feature tracking derived strain parameter GCSLV and LGE yields superior diagnostic sensitivity in suspected acute myocarditis when compared to any imaging parameter alone and to LLC. © 2017 The Author(s). eng
dc.language.iso eng
dc.publisher London : BioMed Central Ltd.
dc.relation.ispartofseries Journal of Cardiovascular Magnetic Resonance 19 (2017), Nr. 1
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Cardiac magnetic resonance imaging eng
dc.subject Feature tracking eng
dc.subject Myocardial inflammation eng
dc.subject Myocarditis eng
dc.subject Strain eng
dc.subject Strain rate eng
dc.subject T2-mapping eng
dc.subject.ddc 610 | Medizin, Gesundheit ger
dc.title A novel multiparametric imaging approach to acute myocarditis using T2-mapping and CMR feature tracking eng
dc.type Article
dc.type Text
dc.relation.issn 1097-6647
dc.relation.doi https://doi.org/10.1186/s12968-017-0387-x
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume 19
dc.bibliographicCitation.firstPage 71
dc.description.version publishedVersion
tib.accessRights frei zug�nglich

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