Ischemic and non-ischemic dilated cardiomyopathy

Open Medicine ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Giovanni Fazio ◽  
Federica Vernuccio ◽  
Emanuele Grassedonio ◽  
Giuseppe Grutta ◽  
Giuseppe Lo Re ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Dilated Cardiomyopathy ◽  
High Sensitivity ◽  
Left Ventricular ◽  
Ischemic Disease ◽  
Coronary Imaging ◽  
Diagnostic Potential ◽  
Non Ischemic Dilated Cardiomyopathy ◽  
Cmr Imaging

AbstractDilated Cardiomyopathy is a high-incident disease, which diagnosis of and treatments are clinical priority. The aim of our study was to evaluate the diagnostic potential of cardiac magnetic resonance (CMR) imaging; echocardiography and the biochemical parameters that can help us differentiate between the post-ischemic and non-ischemic dilated cardiomyopathy. Materials and methods. The study enrolled 134 patients with dilated cardiomyopathy: 74 with the post-ischemic form and 60 with the non-ischemic one. All patients underwent a coronary imaging test, with echocardiogram, cardiac magnetic resonance and a blood test. Pro-inflammatory cytokines were evaluated using Luminex kit. Data was compared between the two groups. Results. Echocardiography allowed recognition of Left Ventricular Non Compaction in 2 patients. Longitudinal and circumferential strains were significantly different in the two groups (p<0.05). Using CMR imaging a post-myocarditis scar was diagnosed in 2 patients and a post-ischemic scar in 95% of patients with the chronic ischemic disease. The interleukin IL-1, IL-6 and TNF-α levels were higher in the post-ischemic group compared with the non-ischemic one. Conclusions. The use of second level techniques with a high sensitivity and specificity would help distinguish among different sub-forms of dilated cardiomyopathy.

scholarly journals Incremental value of feature-tracking cardiac magnetic resonance imaging in detecting myocardial dysfunction in patients with idiopathic ventricular arrhythmias

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
C Nikolaidou ◽  
C Kotanidis ◽  
J Leal-Pelado ◽  
K Kouskouras ◽  
VP Vassilikos ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Ventricular Arrhythmias ◽  
Feature Tracking ◽  
Myocardial Dysfunction ◽  
Global Longitudinal Strain ◽  
Left Ventricular ◽  
Volume Index ◽  
Control Subjects ◽  
Cmr Imaging

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Cardiac magnetic resonance (CMR) imaging can identify the underlying substrate in patients with ventricular arrhythmias (VAs) and normal echocardiography. Myocardial strain has emerged as a superior index of systolic performance compared to ejection fraction (EF), with an incremental prognostic value in many cardiac diseases. Purpose To assess myocardial deformation using 2-D feature-tracking CMR strain imaging (CMR-FT) in patients with frequent VAs (≥500 ventricular premature contractions (VPC)/24 hours; and/or non-sustained ventricular tachycardia), and structurally normal hearts on echocardiography without evidence of coronary artery disease. Methods Sixty-eight consecutive patients (mean age 46 ± 16 years; 54% female) and 72 healthy controls matched for age and body surface area were included in the study. CMR imaging was performed on a 1.5T Magnetom Avanto (Siemens, Erlangen, Germany) scanner using a standard cardiac protocol. Results CMR showed normal findings in 30 patients (44%), while 16 (24%) had previous myocarditis, 6 (9%) had a diagnosis of non-ischaemic cardiomyopathy (NICM), 15 (22%) were diagnosed with VPC-related cardiomyopathy, and 1 patient had subendocardial infarction [excluded from strain analysis]. Mean left ventricular EF (LVEF) in patients was 62% ± 6% and right ventricular EF 64% ± 6% (vs. 65% ± 3% and 66% ± 4% in controls, respectively). Compared to control subjects, patients with VAs had impaired peak LV global radial strain (GRS) (28.88% [IQR: 25.87% to 33.97%] vs. 36.65% [IQR:33.19% to 40.2%], p &lt; 0.001) and global circumferential strain (GCS) (-17.73% [IQR: -19.8% to -16.33%] vs. -20.66% [IQR: -21.72% to -19.6%], p &lt; 0.001, Panel A). Peak LV GRS could differentiate patients with previous myocarditis from patients with NICM and those with VPC-related cardiomyopathy (Panel B). Peak LV GCS could differentiate patients with previous myocarditis from patients with NICM (Panel C). Peak LV GRS showed excellent diagnostic accuracy in detecting patients from control subjects (Panel D). In a multivariable regression model, subjects with a low GRS (&lt;29.91%-determined by the Youden’s index) had 5-fold higher odds of having VAs (OR:4.99 [95%CI: 1.2-21.95]), after adjusting for LVEF, LV end-diastolic volume index, age, sex, BMI, smoking, hypertension, and dyslipidaemia. Peak LV global longitudinal strain (GLS) and RV strain indices were not statistically different between patients and controls. Conclusion Peak LV GRS and GCS are impaired in patients with frequent idiopathic VAs and can detect myocardial contractile dysfunction in patients with different underlying substrates. Our findings suggest that LV strain indices on CMR-FT constitute independent markers of myocardial dysfunction on top and independently of EF. Abstract Figure.

scholarly journals Strain parameters for predicting the prognosis of non‐ischemic dilated cardiomyopathy using cardiovascular magnetic resonance tissue feature tracking

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Chengjie Gao ◽  
Yajie Gao ◽  
Jingyu Hang ◽  
Meng Wei ◽  
Jingbo Li ◽  
...  
Keyword(s):  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Dilated Cardiomyopathy ◽  
Feature Tracking ◽  
Systolic Function ◽  
Radial Strain ◽  
Left Ventricular ◽  
Multivariate Logistic Regression Model ◽  
Non Ischemic Dilated Cardiomyopathy

Abstract Background A considerable number of non-ischemic dilated cardiomyopathy (NDCM) patients had been found to have normalized left ventricular (LV) size and systolic function with tailored medical treatments. Accordingly, we aimed to evaluate if strain parameters assessed by cardiovascular magnetic resonance (CMR) feature tracking (FT) analysis could predict the NDCM recovery. Methods 79 newly diagnosed NDCM patients who underwent baseline and follow-up CMR scans were enrolled. Recovery was defined as a current normalized LV size and systolic function evaluated by CMR. Results Among 79 patients, 21 (27%) were confirmed recovered at a median follow-up of 36 months. Recovered patients presented with faster heart rates (HR) and larger body surface area (BSA) at baseline (P < 0.05). Compared to unrecovered patients, recovered pateints had a higher LV apical radial strain divided by basal radial strain (RSapi/bas) and a lower standard deviation of time to peak radial strain in 16 segments of the LV (SD16-TTPRS). According to a multivariate logistic regression model, RSapi/bas (P = 0.035) and SD16-TTPRS (P = 0.012) resulted as significant predictors for differentiation of recovered from unrecovered patients. The sensitivity and specificity of RSapi/bas and SD16-TTPRS for predicting recovered conditions were 76%, 67%, and 91%, 59%, with the area under the curve of 0.75 and 0.76, respectively. Further, Kaplan Meier survival analysis showed that patients with RSapi/bas ≥ 0.95% and SD16-FTPRS ≤ 111 ms had the highest recovery rate (65%, P = 0.027). Conclusions RSapi/bas and CMR SD16-TTPRS may be used as non-invasive parameters for predicting LV recovery in NDCM. This finding may be beneficial for subsequent treatments and prognosis of NDCM patients. Registration number: ChiCTR-POC-17012586.

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