Diagnostic Values and Reliability of Cardiac Magnetic Resonance Tissue Tracking 2D and 3D Strain Assessments for Experimental Autoimmune Myocarditis in Rats
Abstract
To determinethe diagnostic valuesand reliabilityof cardiac magnetic resonance tissue tracking (CMR-TT) derived two-dimensional(2D) and three-dimensional(3D) strains in assessing experimental autoimmunity myocarditis (EAM) in rats. Methods 20 Lewis rats were randomly divided into model and control groups. The animal model of autoimmune myocarditis was induced by injecting porcine cardiac myosin into the footpads of the rats.On day 35, all of the rats were examined using the 7.0T CMR cine scan. The cardiac function and global strain of the left ventricular of the rats were analyzed with specific cardiac post-processing. The rats were then sacrificed and myocardial samples were taken and stained with HE and Masson. The diagnostic values of the strain parameters were assessed by receiver operating characteristic (ROC) curves with the pathological results as diagnostic criteria.The reliability of the strain parameters were tested using interclass correlation coefficient (ICC), coefficients of variation (CV) and Bland-Altman. Results No abnormal pathological changes in myocardial cells were found in the control group. Myocarditis was successfully induced in all of the rats in the model group, showing myocardial fiber arrangement disorder, degeneration, necrosis, inflammatory cell infiltration and interstitial fibrosis. The ROC showed that 2D global strain parameters possessed higher diagnostic values than 3D strain parameters. The 2D had an area under the curve (AUC) of 0.96 in global circumferential strain (GCS), 0.95 in global radial strain (GRS), and 0.90 in global longitudinal strain (GLS), compared with 0.87 GCS, 0.85 GRS, and 0.77 GLS in the 3D, respectively.The reliability of the 2D strain parameters was high, except for inter-observer 2D GRS(ICC=0.893). The 3D strain parameters had lower reliability (ICCs:0.421-0.79) than the 2D strain parameters (ICCs:0.893-0.986). Conclusion The diagnostic values of 2D strain parameters are higher than 3D strain parameters in diagnosing myocarditis.
Keywords: Tissue tracking magnetic resonance imaging, Experimental autoimmune myocarditis, 2D myocardium strain, 3D myocardium strain
Full Text:
PDFReferences
BAESSLER В, SCHAARSCHMIDT F, DICK A, et al. Diagnostic implications of magnetic resonance feature tracking derived myocardial strain parameters in acute myocarditis. Eur J Radiol.2016,85( 1);218-227.
PAN J. WAN Q. LI J. et al. Strain values of left ventricular segments reduce non-homogeneously in dilated cardiomyopathy with moderately and severely deteriorated heart function assessed by MRI tissue tracking imaging. Int Heart J,2018,59(6): 1312-1319.
CLAUS P. OMAR AMS, PEDRIZZETTI G, et al. Tissue tracking technology for assessing cardiac mechanics; principles, normal values, and clinical applications. JACC Caidiovasc Imaging,2015 ,8( 12) ; 1444-1460.
LIU B, DARDEER AM, MOODY WE, et al. Normal values for myocardial deformation within the right heart measured by feature-tracking cardiovascular magnetic resonance imaging. Int J Cardiol, 2018, 252 ; 220-223 [2019- 02-07]. https;//doi. org/ 10. 1016/j. ijcard. 2017. 10. 106.
MACEIRA AM. TUSET-SANCHIS L, LOPEZ-GARRIDO M, et al. Feasibility and reproducibility of feature-tracking- based strain and strain rate measures of the left ventricle in different diseases and genders. J Magn Reson Imaging,2018, 47(5);1415-1425.
SCHMIDT B, DICK A, TREUTLEIN M, et al. Intra- and inter-observer reproducibility of global and regional magnetic resonance feature tracking derived strain parameters of the left and right ventricle. Eur J Radiol, 2017 , 89; 97-105^2019- 02-07]. https://doi.org/10. 1016/j. ejrad. 2017. 01. 025.
DOERNERJ, BUNCK AC, MICHELS G, et al. Incremental value of cardiovascular magnetic resonance feature tracking derived atrial and ventricular strain parameters in a comprehensive approach for the diagnosis of acute myocarditis. Eur J Radiol,2018,104 :120-128[2019-02- 07]. https;//doi. org/10. 1016/j. ejrad. 2018. 05. 012.
ZHU T, ZENG W. CHEN Y, et al. 2D/3D CMR tissue tracking versus CMR tagging in the assessment of spontaneous T2DM rhesus monkeys with isolated diastolic dysfunction. BMC Med Imaging. 2018. 18 ( 1 ): 47 [2019-02- 07]. https://doi.org/10. 1186/sl2880-018-0288-y.
LUETKENS JA, PETRY P. KUETTING D. et al. Left and right ventricular strain in the course of acute myocarditis; a cardiovascular magnetic resonance study. Rofo. 2018. 190 (8):722-732.
LV S.LU C.LI M. et al. The dynamic changes in myocardial collagen metabolism in experimental autoimmune myocarditis rats. Hellenic.! Cardiol, 2018,59(4) :234-237.
MAZURKIEWICZ L. PETRYKA J, SPIEWAK M, et al. Biventricular mechanics in prediction of severe myocardial fibrosis in patients with dilated cardiomyopathy: CMR study. Eur J Radiol.2017,91 ;71-81[2019-02-07]. https://doi.org/ 10. 1016/j. ejrad. 2017. 03. 019.
KANSALMM, MANSOUR IN, ISMAIL S, et al. Left ventricular global longitudinal strain predicts mortality and heart failure admissions in African American patients. Clin Cardiol,2017,40(5) :31 1-321.
SENGUPTA PP. TAJIK AJ, CHANDRASEKARAN K, et al. Twist mechanics of the left ventricle: principles and application. JACC Cardiovasc Imaging.2008,1(3);366-376. HO SY. Anatomy and myoarchitecture of the left ventricular wall in normal and in disease. Eur J Echocardiogr, 2009, 10 (8):iii3-iii7.
KHAN JN, SINGH A, NAZIR SA, et al. Comparison of cardiovascular magnetic resonance feature tracking and tagging for the assessment of left ventricular systolic strain in acute myocardial infarction. Eur J Radiol. 2015, 84 ( 5) ; 840- 848.
PEDRIZZETTI G. CLAUS P. KILNER PJ. Et al. Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use. J Cardiovasc Magn Reson, 2016. 18 ( 1 ): 51 [2019-02-07]. https://doi. org/10. 1186/sl2968-016-0269-7.
LIU B. DARDEER AM, MOODY WE. et al. Reference ranges for three-dimensional feature tracking cardiac magnetic resonance: comparison with two-dimensional methodology and relevance of age and gender. Int J Cardiovasc Imaging. 2018.34(5):761-775.
Refbacks
- There are currently no refbacks.



