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

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Bettina Baeßler
  • Melanie Treutlein
  • Frank Schaarschmidt
  • Christian Stehning
  • Bernhard Schnackenburg
  • Guido Michels
  • David Maintz
  • Alexander C. Bunck

Organisationseinheiten

Externe Organisationen

  • Universität zu Köln
  • Philips HealthTech
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Details

OriginalspracheEnglisch
Aufsatznummer71
FachzeitschriftJournal of Cardiovascular Magnetic Resonance
Jahrgang19
Ausgabenummer71
PublikationsstatusVeröffentlicht - 21 Sept. 2017

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.

ASJC Scopus Sachgebiete

Zitieren

A novel multiparametric imaging approach to acute myocarditis using T2-mapping and CMR feature tracking. / Baeßler, Bettina; Treutlein, Melanie; Schaarschmidt, Frank et al.
in: Journal of Cardiovascular Magnetic Resonance, Jahrgang 19, Nr. 71, 71, 21.09.2017.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Baeßler B, Treutlein M, Schaarschmidt F, Stehning C, Schnackenburg B, Michels G et al. A novel multiparametric imaging approach to acute myocarditis using T2-mapping and CMR feature tracking. Journal of Cardiovascular Magnetic Resonance. 2017 Sep 21;19(71):71. doi: 10.1186/s12968-017-0387-x
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title = "A novel multiparametric imaging approach to acute myocarditis using T2-mapping and CMR feature tracking",
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.",
keywords = "Cardiac magnetic resonance imaging, Feature tracking, Myocardial inflammation, Myocarditis, Strain, Strain rate, T2-mapping",
author = "Bettina Bae{\ss}ler and Melanie Treutlein and Frank Schaarschmidt and Christian Stehning and Bernhard Schnackenburg and Guido Michels and David Maintz and Bunck, {Alexander C.}",
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year = "2017",
month = sep,
day = "21",
doi = "10.1186/s12968-017-0387-x",
language = "English",
volume = "19",
journal = "Journal of Cardiovascular Magnetic Resonance",
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Download

TY - JOUR

T1 - A novel multiparametric imaging approach to acute myocarditis using T2-mapping and CMR feature tracking

AU - Baeßler, Bettina

AU - Treutlein, Melanie

AU - Schaarschmidt, Frank

AU - Stehning, Christian

AU - Schnackenburg, Bernhard

AU - Michels, Guido

AU - Maintz, David

AU - Bunck, Alexander C.

N1 - Publisher Copyright: © 2017 The Author(s). Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2017/9/21

Y1 - 2017/9/21

N2 - 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.

AB - 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.

KW - Cardiac magnetic resonance imaging

KW - Feature tracking

KW - Myocardial inflammation

KW - Myocarditis

KW - Strain

KW - Strain rate

KW - T2-mapping

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U2 - 10.1186/s12968-017-0387-x

DO - 10.1186/s12968-017-0387-x

M3 - Article

C2 - 28931401

AN - SCOPUS:85029723471

VL - 19

JO - Journal of Cardiovascular Magnetic Resonance

JF - Journal of Cardiovascular Magnetic Resonance

SN - 1097-6647

IS - 71

M1 - 71

ER -

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