- Workshop presentation
- Open Access
A novel analytical approach to quantitative myocardial edema imaging in acute myocarditis using T2-mapping
© Baessler et al. 2016
- Published: 27 January 2016
- Healthy Volunteer
- Random Forest
- Late Gadolinium Enhancement
- Multiple Logistic Regression Analysis
- Validation Cohort
The purpose of this study was to investigate the diagnostic value of T2-mapping in patients with acute myocarditis (ACM) and to define an appropriate cut-off value for quantitative edema detection.
CMR data of 35 patients with clinically suspected ACM and confirmation of diagnosis by CMR according to the Lake Louise criteria (LL criteria) were retrospectively analyzed. 30 healthy volunteers (HV) served as a control. A second cohort consisting of 72 patients with clinically diagnosed ACM served as a validation cohort. All patients and HV were examined on a clinical 1.5T scanner, where - in addition to the routine CMR protocol - a Gradient Spin Echo (GraSE) T2-mapping sequence had been acquired at two basal, midventricular and apical slices in short axis view. T2-maps were segmented according to the 16-segments AHA-model. While averaging all pixels within one myocardial segment for segmental T2-calculation, their standard deviation ("pixel-SD") within segments was recorded as an indicator for the "spottiness" of T2 values, originating from the spatial variation of myocardial edema in ACM. Statistical analysis was conducted using single and multiple logistic regression analyses, random forests, decision trees, and ROC-analyses.
The proposed cut-off values for maxT2 and madSD in the setting of ACM allow edema detection with high sensitivity and specificity and in a quantitative manner. The two parameters show an additional diagnostic value to LGE with the inherent potential to overcome the hurdles of T2-mapping for its integration into clinical routine.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.