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

Journal of Cardiovascular Magnetic Resonance

Research

Guido Michels¹  Bettina Baeßler²  David Maintz²  Alexander C. Bunck²  Melanie Treutlein²  Frank Schaarschmidt³  Christian Stehning⁴  Bernhard Schnackenburg⁵ 

[1] Department III of Internal Medicine, Heart Centre, University Hospital of Cologne, Cologne, Germany;Department of Radiology, University Hospital of Cologne, Kerpener Str. 62, D-50937, Cologne, Germany;Institute of Biostatistics, Faculty of Natural Sciences, Leibniz Universität Hannover, Hannover, Germany;Philips Research, Hamburg, Germany;Philips, Healthcare Germany, Hamburg, Germany;

关键词: Cardiac magnetic resonance imaging;    Strain;    Strain rate;    Myocardial inflammation;    Myocarditis;    T2-mapping;    Feature tracking;   

DOI  :  10.1186/s12968-017-0387-x

 received in 2016-12-07, accepted in 2017-09-12,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundThe 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).MethodsCMR 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.ResultsA 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%.ConclusionsA 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.

【 授权许可】

CC BY   
© The Author(s). 2017