scholarly journals Utility of Native T1 mapping to differentiate between athlete's heart and non-ischemic dilated cardiomyopathy

2015 ◽  
Vol 17 (S1) ◽  
Author(s):  
Ify Mordi ◽  
David Carrick ◽  
Hiram Bezerra ◽  
Nikolaos Tzemos
Keyword(s):  
Dilated Cardiomyopathy ◽  
T1 Mapping ◽  
Athlete’S Heart ◽  
Native T1 ◽  
Non Ischemic Dilated Cardiomyopathy ◽  
Athlete's Heart

Abstract 14783: Relationship Between Native Papillary Muscle T1 Time and Severity of Functional Mitral Regurgitation in Patients With Non-ischemic Dilated Cardiomyopathy

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Shingo Kato ◽  
Sébastien Roujol ◽  
Francesca Delling ◽  
Shadi Akhtari ◽  
Jihye Jang ◽  
...  
Keyword(s):  
Mitral Regurgitation ◽  
Dilated Cardiomyopathy ◽  
Papillary Muscle ◽  
T1 Mapping ◽  
Functional Mitral Regurgitation ◽  
Diffuse Fibrosis ◽  
Regurgitant Fraction ◽  
Native T1 ◽  
Non Ischemic Dilated Cardiomyopathy ◽  
Native T1 Time

Introduction: Functional mitral regurgitation is one of the severe complications of non-ischemic dilated cardiomyopathy (DCM). Non-contrast native T1 mapping has emerged as a non-invasive method to evaluate myocardial fibrosis. Hypothesis: We hypothesized that papillary muscle native T1 time is correlated with severity of functional mitral regurgitation in DCM patients. Methods: Forty DCM patients (55±13 years) and 20 healthy adult control subjects (54±13 years) were studied. Native T1 mapping was performed using a slice interleaved T1 mapping sequence (STONE) which enables acquisition of 5 slices in the short-axis plane within a 90 sec free-breathing scan. We measured papillary muscle diameter, length and shortening. DCM patients were allocated into 2 groups based on the presence or absence of functional mitral regurgitation. Results: Papillary muscle T1 time was significantly elevated in DCM patients with mitral regurgitation (n=22) in comparison to those without mitral regurgitation (n=18) (anterior papillary muscle: 1127±36 msec vs 1063±16 msec, p<0.001; posterior papillary muscle: 1124±30 msec vs 1062±19 msec, p<0.001), but LV T1 time was similar (1129±38 msec vs 1134±58 msec, p=0.93). Multivariate linear regression analysis showed that papillary muscle native T1 time (β=0.109, 95%CI: 0.048-0.170, p=0.001) and tenting height (β=1.334, 95%CI: 0.434-2.234, p=0.005) are significantly correlated with mitral regurgitant fraction. Elevated papillary muscle T1 time was associated with larger diameter, longer length and decreased papillary muscle shortening (all p values <0.05). Conclusions: In DCM, papillary muscle native T1 time is significantly elevated and related to mitral regurgitant fraction. These results suggest that papillary muscle diffuse fibrosis might be associated with severity of mitral regurgitation in this population.

scholarly journals T1 and ECV mapping texture analysis distinguishing hypertrophic cardiomyopathy from athletes heart better than median values

2021 ◽  
Vol 22 (Supplement_2) ◽  
Author(s):  
T Dresselaers ◽  
P Rafouli-Stergiou ◽  
R De Bosscher ◽  
S Tilborghs ◽  
C Dausin ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Texture Analysis ◽  
Roc Analysis ◽  
Left Ventricular ◽  
Athlete’S Heart ◽  
Support Vector ◽  
Mapping Data ◽  
Intensive Training ◽  
Native T1 ◽  
Athlete's Heart

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Ph.D fellowship of the Research Foundation Flanders (FWO). The Master@Heart trial is funded by the FWO. Introduction Differentiating intensive training induced hypertrophy from hyperthropic cardiomyopathy (HCM) is important to identify those young athletes at risk of sudden cardiac death. Swoboda and colleagues demonstrated that T1 and ECV mapping can aid such a differentiation between athletic and pathological hypertrophy, particularly in subjects with indeterminate wall thickness (1). Recently texture analysis (TA) methods of CMR data have demonstrated improved diagnostic accuracy over conventional qualitative analysis in various heart diseases. Only few studies have applied TA to T1 and ECV mapping data (2-4). Here we aimed to demonstrate that a TA approach provides superior capacity to distinguish HCM from athlete’s heart over average native T1 and ECV values. Purpose It was our hypothesis that a texture analysis of T1 and ECV mapping images would identify features that could discriminate between a HCM and athlete’s heart with a higher classification accuracy (CA) than average T1 and ECV values. Methods This study included data from 97 subjects diagnosed with HCM (acc. to guidelines; 5) and 28 athletes that took part in the Master@Heart trial (an ongoing study assessing the beneficial effects of long-term endurance exercise for the prevention of coronary artery disease, 6).  Long and short axis T1 mapping data was acquired on a 1.5T Philips Ingenia system using MOLLI (seconds scheme). After offline motion correction and T1 and ECV map calculation (7), the left ventricular myocardium was manually delineated (3D Slicer; 8). Texture analysis of the masked images resulted in 194 features (Pyradiomics, standard settings; 9). The dataset was then split (75/25%) for training and testing purposes keeping images from the same subject within the same set. A fast correlation based filter rank was applied to the training data to derive relevant features. A further reduction to only two features was based on the CA of a support vector machine (SVM) learning method (linear kernel; cost 0.9 regression loss epsilon 0.1; leave-one-out). Finally, ROC analysis on the test data was used to determine the diagnostic accuracy for the following predictors: (1) median T1 and ECV (2) two most relevant features (training) (3) combination of (1) and (2) (ROC AUC statistics (10)). Results The two most relevant features were the histogram feature ECV energy and the gray level size zone matrix (GLSZM) feature native T1 zone entropy, a measure of heterogeneity in the texture pattern. A model to distinguish HCM from athletes based on these features outperformed the model using only median T1 and ECV values with both higher sensitivity and specificity (table 1) and a significantly  higher AUC in the ROC analysis (p &lt; 0.05, figure 1). Combining these two features with median values did not improve the CA further.  Conclusion Texture analysis of motion-corrected T1 and ECV mapping images out-performs classical analysis based on average values in distinguishing HCM from athlete"s heart.

Relationship between cardiac magnetic resonance derived extracellular volume fraction and myocardial strain in patients with non-ischemic dilated cardiomyopathy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Azuma ◽  
S Kato ◽  
S Kodama ◽  
K Hayakawa ◽  
M Kagimoto ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Dilated Cardiomyopathy ◽  
Myocardial Fibrosis ◽  
Negative Correlation ◽  
T1 Mapping ◽  
Myocardial Strain ◽  
Extracellular Volume ◽  
P Values ◽  
Chamber View ◽  
Non Ischemic Dilated Cardiomyopathy

Abstract Background The feature tracking (FT) technique has been proposed as a robust method to evaluate the myocardial strain using conventional cine magnetic resonance imaging (MRI) of the left ventricle. Data is limited regarding the relationship between FT-derived myocardial strain and diffuse myocardial fibrosis evaluated by T1 mapping in patients with non-ischemic dilated cardiomyopathy (NIDCM). Purpose The aim of this study was to evaluate the correlation between extracellular volume (ECV) by T1 mapping and myocardial strain by FT in patients with NIDCM. Methods A total of sixty-four patients with NIDCM (62±12 years) and 15 controls (62±11 years) were studied. Using a 1.5T MR scanner, pre- and post- T1 mapping images of LV wall at mid-ventricular level was acquired to calculate ECV by modified Look-Locker inversion recovery (MOLLI) sequence. Radial strain (RS), circumferential strain (CS) and longitudinal strain (LS) was assessed by FT technique. ECV and myocardial strain were compared using a 6-segment model at mid-ventricular level. Results Compared to the controls, the NIDCM patients had a significantly higher ECV (0.30±0.02 vs. 0.24±0.01, p&lt;0.001) and impaired myocardial strain (RS, 24.2±3.0 vs. 52.2±6.2, p&lt;0.001; CS, −7.5±2.1 vs. −15.3±2.2, p&lt;0.001; LS −10.4±3.5 vs. −20.2±4.7, p&lt;0.001, respectively). Similar results were obtained when comparing all 6 myocardial segments (segment 7–12) (all p values &lt;0.001). In a segment-based analysis, a significant positive correlation was found between the ECV and CS (r=0.26 to 0.41; all p values &lt;0.05), a negative correlation was found between the ECV and RS (r=−0.31 to −0.41; all p values &lt;0.05). In a patient-based analysis, there were significant positive correlations between the ECV and CS (r=0.45, p&lt;0.001), ECV and LS from 2-chamber view (r=0.30, p=0.006), ECV and LS from 4-chamber view (r=0.37, p&lt;0.001). There was a significant negative correlation between the ECV and RS (r=−0.43, p&lt;0.001) (FIGURE) Conclusions In NIDCM patients, severity of myocardial fibrosis evaluated by T1 mapping is associated with impaired myocardial strain by FT technique. Correlation between the ECV and strain Funding Acknowledgement Type of funding source: None

scholarly journals Assessing Myocardial Extracellular Volume by T1 Mapping to Distinguish Hypertrophic Cardiomyopathy From Athlete’s Heart

2016 ◽  
Vol 67 (18) ◽  
pp. 2189-2190 ◽  
Author(s):  
Peter P. Swoboda ◽  
Adam K. McDiarmid ◽  
Bara Erhayiem ◽  
David A. Broadbent ◽  
Laura E. Dobson ◽  
...  
Keyword(s):  
Hypertrophic Cardiomyopathy ◽  
T1 Mapping ◽  
Extracellular Volume ◽  
Athlete’S Heart ◽  
Athlete's Heart

scholarly journals P1531Clinical parameters to differentiate athlete's heart from dilated cardiomyopathy

2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
L. Millar ◽  
H. Dhutia ◽  
T. Keteepe-Arachi ◽  
G. Finocchiaro ◽  
A. Malhotra ◽  
...  
Keyword(s):  
Dilated Cardiomyopathy ◽  
Athlete’S Heart ◽  
Athlete's Heart

scholarly journals Deformation Parameters of the Heart in Endurance Athletes and in Patients with Dilated Cardiomyopathy—A Cardiac Magnetic Resonance Study

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 374
Author(s):  
Łukasz A. Małek ◽  
Łukasz Mazurkiewicz ◽  
Mikołaj Marszałek ◽  
Marzena Barczuk-Falęcka ◽  
Jenny E. Simon ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Dilated Cardiomyopathy ◽  
Area Under The Curve ◽  
Athlete’S Heart ◽  
Endurance Athletes ◽  
Deformation Parameters ◽  
Best Value ◽  
Deformation Patterns ◽  
Athlete's Heart

A better understanding of the left ventricle (LV) and right ventricle (RV) functioning would help with the differentiation between athlete’s heart and dilated cardiomyopathy (DCM). We aimed to analyse deformation parameters in endurance athletes relative to patients with DCM using cardiac magnetic resonance feature tracking (CMR-FT). The study included males of a similar age: 22 ultramarathon runners, 22 patients with DCM and 21 sedentary healthy controls (41 ± 9 years). The analysed parameters were peak LV global longitudinal, circumferential and radial strains (GLS, GCS and GRS, respectively); peak LV torsion; peak RV GLS. The peak LV GLS was similar in controls and athletes, but lower in DCM (p < 0.0001). Peak LV GCS and GRS decreased from controls to DCM (both p < 0.0001). The best value for differentiation between DCM and other groups was found for the LV ejection fraction (area under the curve (AUC) = 0.990, p = 0.0001, with 90.9% sensitivity and 100% specificity for ≤53%) and the peak LV GRS diastolic rate (AUC = 0.987, p = 0.0001, with 100% sensitivity and 88.4% specificity for >−1.27 s−1). The peak LV GRS diastolic rate was the only independent predictor of DCM (p = 0.003). Distinctive deformation patterns that were typical for each of the analysed groups existed and can help to differentiate between athlete’s heart, a nonathletic heart and a dilated cardiomyopathy.

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