Synopsis
Continuous
discoveries in genome abnormities result in an ever increasing number of
cardiovascular diseases being considered of genetic cause. High importance is
furthermore emphasis of either heritable disease or individual mutation caused
abnormality. While beyond assessment of genomics, the versatile toolbox of
cardiac MRI enables detailed insight into subtle phenotypes that may be linked
to changes in genotype (genotype +) and as such provides insight into a
possible clinical course of a disease. Furthermore, cardiac MRI provides
ongoing excellence in the important aspect of initial diagnosis, therapy
monitoring and identification of possible complications in a large variety of
genetic CV diseases.Background
Cardiac
magnetic resonance imaging (MRI) has been established in a large variety of
cardiac diseases including congenital heart disease (CHD), ischemic heart
disease, valvular heart disease and a wide selection of primary diseases of the
myocardium (cardiomyopathies). The impact of CMR also reaches beyond the heart
itself and includes downstream vasculature. Based of continuous discoveries in
genetics and genomics with identification of causal genes the perception,
diagnosis and management may potentially change.
Genetic
diseases in general refer to disease caused by abnormalities in the genome
which are generally present from birth. Furthermore, it is important to
consider that genetic diseases may or may not be of heritable nature, a factor
that is of high importance regarding the risk of future generations as well as
considerations of counseling and screening of family member.
An
important consideration is the differentiation between ‘genotype’ and
‘phenotype’. Genotype refers to an individuals’ collection of genes which may or
may not include an abnormality while phenotype refers to the ‘observable’
findings which, in respect to cardiac MR, mainly apply to the characterization
of morphologic and potentially also quantitative tissue composition.
As a
major and versatile diagnostic tool in cardiovascular disease, cardiac MRI may be
challenged regarding differential diagnosis of look alike phenocopies but may
also push its role as a screening modality in cases with positive family
history and/or positive genotype to assess for phenotype expression. Furthermore,
cardiac MRI remains a major tool in therapy decisions and therapy monitoring in
a wide range of genetic cardiovascular pathologies.
Myocardial Pathologies
Cardiomyopathies,
defined as primary diseases of the heart muscle excluding those that are
secondary to other known CV disorders (e.g. coronary artery disease,
hypertension, etc.) have undergone various changes in classifications and most
recent society classifications have further highlighted the differentiation of
familial/genetic forms from nonfamilial/nongenetic forms and also consider
asymptomatic individuals with familial cardiomyopathy in heart failure (HF) classifications
(1,2). While from certain perspectives results may appear relatively straight
forward, the complexity may be a substantial challenge for clinicians (3).
A major
aspect of cardiac MRI in assessment of genetic myocardial disorders remains the
assessment of general phenotypes (e.g. hypertrophic, dilated, etc.), the
assessment of cardiac function and assessment of myocardial changes. Beyond
standard assessment of global cardiac function and volumes, regional wall
motion metrics provided by various techniques to assess for strain and
derivatives potential allows for early/pre-symptomatic identification of
abnormalities. Recent developments in detailed quantitative myocardial imaging
allow for identification of subtle myocardial changes that may come along with
various genetic diseases prior to phenotype changes or functional impairment.
However, only in very few disorders quantitative data may allow for diagnosis
of specific disease (e.g. Fabry’s) (4).
Vascular Pathologies
Cardiac
MRI has proven its role in the diagnosis of various pathologies of the central
vasculature. This includes genetically linked disorders such as Marfan’s syndrome,
Ehlers-Dahnlos syndrome, Loeys-Dietz syndrome and other familial aortopathies. While
it may be common conception that the focus of MR based investigations may only
relate to vascular structures, various syndromes may also include risk of valvular
disease and heart failure therefore requiring adequate imaging methods. In
primary diagnosis cardiovascular imaging only provides more detailed insight
into a multiorgan-system/tissue disease and as such normal findings may not
necessarily exclude such a diagnosis. The primary role of cardiac MRI at
present times focuses on initial diagnosis of complications (e.g. aneurysms,
dissections) as well as pre-/post-interventional surveillance. Primary MR tools
include functional imaging techniques for assessment of ventricular function
and valvular pathologies such as insufficiency, and non-contrast or contrast
enhanced 2D/3D MR angiography techniques for mapping of the vascular morphology
and measurements. Furthermore, flow imaging techniques may provide further
insight into imaging of complications and additional information about vascular
rigidity.
Conclusion
The
field of genetic disorders in cardiovascular imaging by MRI includes a wide
variety of general approaches from basic diagnosis (incl. differential
diagnosis), non-invasive therapy monitoring, screening for complications as well
as screening of dependents in the setting of potential inheritable disease.
Especially the later application may require identification of subtle
structural changes and morphological variants that possibly provide further
hints. In the emerging field of cardiomyopathy classification, the connection
between ‘genotype’ and ‘phenotype’ may proof of high importance as despite the
presence of proven gene abnormalities (genotype +) the penetration of disease
may vary and individuals may remain ‘phenotype -‘ for extended periods or the
remainder of their life.
Acknowledgements
No acknowledgement found.References
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2006; 113: 1807
2. Elliott P et al. Eur Heart
J 2008; 29: 270
3. Arbustni E et al. J Am Coll
Cardiol 2014; 64: 304
4. Pica S et al. J Cardiovasc
Magn Reson 2014; 16: 99