Mapping tissue inhomogeneity in acute myocarditis: a novel analytical approach to quantitative myocardial edema imaging by T2-mapping

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dc.identifier.uri http://dx.doi.org/10.15488/520
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/544
dc.contributor.author Baessler, Bettina
dc.contributor.author Schaarschmidt, Frank
dc.contributor.author Dick, Anastasia
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 2016-09-06T07:58:01Z
dc.date.available 2016-09-06T07:58:01Z
dc.date.issued 2015
dc.identifier.citation Baessler, Bettina; Schaarschmidt, Frank; Dick, Anastasia; Stehning, Christian; Schnackenburg, Bernhard et al.: Mapping tissue inhomogeneity in acute myocarditis: a novel analytical approach to quantitative myocardial edema imaging by T2-mapping. In: Journal of Cardiovascular Magnetic Resonance 17 (2015), 115
dc.description.abstract BACKGROUND: The purpose of the present study was to investigate the diagnostic value of T2-mapping in acute myocarditis (ACM) and to define cut-off values for edema detection. METHODS: Cardiovascular magnetic resonance (CMR) data of 31 patients with ACM were retrospectively analyzed. 30 healthy volunteers (HV) served as a control. Additionally to the routine CMR protocol, T2-mapping data were acquired at 1.5 T using a breathhold Gradient-Spin-Echo T2-mapping sequence in six short axis slices. T2-maps were segmented according to the 16-segments AHA-model and segmental T2 values as well as the segmental pixel-standard deviation (SD) were analyzed. RESULTS: Mean differences of global myocardial T2 or pixel-SD between HV and ACM patients were only small, lying in the normal range of HV. In contrast, variation of segmental T2 values and pixel-SD was much larger in ACM patients compared to HV. In random forests and multiple logistic regression analyses, the combination of the highest segmental T2 value within each patient (maxT2) and the mean absolute deviation (MAD) of log-transformed pixel-SD (madSD) over all 16 segments within each patient proved to be the best discriminators between HV and ACM patients with an AUC of 0.85 in ROC-analysis. In classification trees, a combined cut-off of 0.22 for madSD and of 68 ms for maxT2 resulted in 83% specificity and 81% sensitivity for detection of ACM. CONCLUSIONS: The proposed cut-off values for maxT2 and madSD in the setting of ACM allow edema detection with high sensitivity and specificity and therefore have the potential to overcome the hurdles of T2-mapping for its integration into clinical routine. eng
dc.language.iso eng
dc.publisher London : Biomed Central Ltd
dc.relation.ispartofseries Journal of Cardiovascular Magnetic Resonance 17 (2015)
dc.rights CC BY 4.0
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Cardiovascular magnetic resonance eng
dc.subject Tissue characterization eng
dc.subject Acute myocarditis eng
dc.subject T2-mapping eng
dc.subject Myocardial edema eng
dc.subject.ddc 500 | Naturwissenschaften ger
dc.title Mapping tissue inhomogeneity in acute myocarditis: a novel analytical approach to quantitative myocardial edema imaging by T2-mapping
dc.type article
dc.type Text
dc.relation.issn 1097-6647
dc.relation.doi http://dx.doi.org/10.1186/s12968-015-0217-y
dc.bibliographicCitation.volume 17
dc.bibliographicCitation.firstPage 115
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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