Abstract
Dilated cardiomyopathy (DCM) is a progressive disease of heart muscle that is characterized by ventricular chamber enlargement and contractile dysfunction, and DCM is the third most common cause of heart failure and the most frequent reason for heart transplantation. Cardiac MR is useful modality for the diagnosis, and to assess the degree of cardiac dysfunction, to identify the cause, and to guide treatment.
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Keywords
- Late Gadolinium Enhancement
- Aortic Valve Disease
- Restrictive Cardiomyopathy
- Diffuse Fibrosis
- Left Ventricle Chamber
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1 Overview
1.1 Definition
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Ventricular chamber enlargement and systolic dysfunction (left ventricular ejection fraction <30–40 % or fractional shortening less than 25 %) [1, 2].
1.2 Prevalence
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Five to eight cases per 100,000 populations, with an estimated prevalence of 1:2,500 [3].
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The third most common cause of heart failure after ischemia and valvular disease.
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Approximately 90 % of all cardiomyopathies; approximately 50 % of all cases of dilated cardiomyopathy (DCM) are idiopathic [4].
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Idiopathic DCM is the most common cause of heart failure in the young, with an estimated prevalence of at least 36.5 per 100,000 persons in the United States.
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Due to mild clinical symptoms in the early phase of the disease, the true prevalence is probably even much higher. It has been suggested that up to 14 % of the middle-aged and elderly population have asymptomatic left ventricular systolic dysfunction [5].
1.3 Clinical Features
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Most commonly diagnosed in the third or fourth decade, but also in young children [3].
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Progressive heart failure and a decline in left ventricular systolic function, arrhythmias, thromboembolism, and sudden death at any stage of the disease.
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High mortality rate (median period of survival of 1.7 years for men and 3.2 years for women) [3].
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The natural history of the condition is progressive, and its cost, disability, and morbidity are among the highest of any disease.
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Histopathologic features – generally microscopic interstitial fibrosis, but some patients have grossly visible nontransmural or, rarely, transmural fibrosis [6].
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Systolic dysfunction is the most important independent predictor of outcome, and evaluation of diastolic filling allows further identification of subgroups with divergent long-term prognosis.
1.4 Cause (Table 13.1)
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In the World Health Organization classification, DCM is classified as its primary (e.g., idiopathic or familial) and secondary forms.
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Up to 50 % of patients diagnosed with idiopathic cardiomyopathy have a familial DCM.
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Although genetically heterogeneous, the predominant mode of inheritance for DCM is autosomal dominant, with X-linked autosomal recessive and mitochondrial inheritance less frequently.
2 Imaging Modalities and Findings
2.1 Computed Tomography
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With ECG-gated cardiac CT, coronary artery disease can be excluded because of high specificity and negative predictive value.
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Although ionizing radiation and injection of relatively large amounts of iodinated contrast agents are required, ECG-gated CT scanning enables morphological analysis of the ventricles and is an accurate means of evaluating ventricular function (Fig. 13.1).
2.2 Magnetic Resonance Imaging
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Detailed morphologic evaluation of ventricles.
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In black blood images, enlarged cardiac chambers and thin myocardial walls are evident.
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Mural thrombi can also be identified.
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Functional evaluation of ventricles.
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Cine images usually show ventricular hypokinesia and increased volumes. Using steady-state free precession (SSFP) images, the diagnosis of left ventricle (LV) dilation is simply made when short-axis internal LV chamber diameter is larger than 5.0 cm or when the LV end diastolic volume exceeds 235 mL or 112 mL/m2 in males and 174 or 99 mL/m2 in females.
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The superior quality of images obtained by SSFP technique facilitates the detection of regional wall motion abnormalities allowing an easier differentiation between ischemic and non-ischemic LV impairment [7].
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CMR is able to overcome many of the limitations of echocardiographic assessment of ventricular function and volumes. The significantly lower inter- and intraobserver variability in CMR measurements allows better monitoring of response to medical intervention or disease progression.
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Characterization of myocardial tissue using late gadolinium enhancement (LGE) images.
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To differentiate between DCM secondary to coronary artery disease and other causes of DCM. The differentiation between these subgroups may be fundamental in the therapeutic and prognostic approach to the patients [8].
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In non-ischemic DCM, hyperenhancement was either absent (59–88 % of cases) or appeared as stripes of hyperenhancement in the mid-wall of the myocardium not related to specific coronary artery perfusion territories (9–35 % of the cases).
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A subgroup of patients with DCM has fibrosis in a predominantly subendocardial distribution, characteristic of infarction (it has been suggested that these may represent coronary emboli-induced ischemic cardiomyopathy cases or ruptured coronary plaques that have subsequently recanalized).
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Degree of fibrosis is an important prognostic predictor.
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In a group of patients with DCM, 35 % of these patients had mid-wall myocardial fibrosis, which is a predictor of the combined end point of all-cause mortality and cardiovascular hospitalization and also of sudden cardiac death and ventricular tachycardia [9].
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The predictive value of mid-wall fibrosis remained significant after correction for LV volumes and ejection fraction (Figs. 13.2, 13.3, 13.4, 13.5, and 13.6).
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Learning Points of DCM
Stripes of hyperenhancement in the mid-wall of the myocardium are a typical enhancement pattern in patients with non-ischemic DCM.
Learning Points of DCM
In non-ischemic DCM, hyperenhancement was either absent (59–88 % of cases) or appeared as stripes of hyperenhancement in the mid-wall of the myocardium (9–35 % of the cases). The myocardial fibrosis (enhancement area) appears to be irreversible and is regarded as a predictor of adverse outcome.
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T1 mapping
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Postcontrast myocardial T1 time is inversely correlated with the presence of diffuse fibrosis at endomyocardial biopsy in a population with a broad spectrum of cardiomyopathies.
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Increased gadolinium concentration in the expanded extracellular space associated with scar tissue causes T1 shortening and high signal intensity on T1-weighted images relative to areas of normal myocardium.
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Significant myocardial fibrosis can be present at endomyocardial biopsy even when cardiac MR images do not show focal LGE. Relatively dense myocardial scar is thought to be necessary for visual identification of myocardial scar with gadolinium-enhanced cardiac MR because of the relatively low resolution of MR imaging [10].
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In the setting of less severe or more diffuse fibrosis, the inversion-recovery cardiac MR technique is unlikely to reveal the presence of diffusely abnormal tissue given the lack of normal myocardium as a reference.
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Direct measurement of myocardial T1 time (“T1 mapping”) may improve on these problems of LGE cardiac MR in the setting of more subtle degree of diffuse fibrosis (i.e., DCM, hypertrophic cardiomyopathy, aortic valve disease, postoperative cardiac transplantation, myocarditis, restrictive cardiomyopathy, suspected arrhythmogenic right ventricle dysplasia) [10].
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3 Summary
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DCM is associated with dilatation and dysfunction of the LV or of both ventricles.
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DCM is caused by a variety of disorders (ischemia, infections, drugs, deposition disease, toxins, electrolyte abnormalities, nutritional deficiencies, endocrine dysfunction, and genetic), although frequently no etiology can be found and the cardiomyopathy is deemed idiopathic.
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CT and MR are used to help make a diagnosis, to assess the degree of cardiac dysfunction, to identify a cause, and to guide therapy.
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Stripes of hyperenhancement in the mid-wall of the myocardium are a typical enhancement pattern, which was identified in a 9–35 % of the patients with non-ischemic DCM, which is a predictor of poor prognosis.
References
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Kim, E.Y., Choe, Y.H. (2015). Dilated Cardiomyopathy. In: Lim, TH. (eds) Practical Textbook of Cardiac CT and MRI. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36397-9_13
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