Skip to main content
Erschienen in: Clinical Research in Cardiology 1/2021

Open Access 05.05.2020 | Original Paper

Diagnostic value of the novel CMR parameter “myocardial transit-time” (MyoTT) for the assessment of microvascular changes in cardiac amyloidosis and hypertrophic cardiomyopathy

verfasst von: Grigorios Chatzantonis, Michael Bietenbeck, Anca Florian, Claudia Meier, Philipp Stalling, Dennis Korthals, Holger Reinecke, Ali Yilmaz

Erschienen in: Clinical Research in Cardiology | Ausgabe 1/2021

Abstract

Background

Coronary microvascular dysfunction (CMD) is present in various non-ischemic cardiomyopathies and in particular in those with left-ventricular hypertrophy. This study evaluated the diagnostic value of the novel cardiovascular magnetic resonance (CMR) parameter “myocardial transit-time” (MyoTT) in distinguishing cardiac amyloidosis from other hypertrophic cardiomyopathies.

Methods

N = 20 patients with biopsy-proven cardiac amyloidosis (CA), N = 20 patients with known hypertrophic cardiomyopathy (HCM), and N = 20 control patients without relevant cardiac disease underwent dedicated CMR studies on a 1.5-T MR scanner. The CMR protocol comprised cine and late-gadolinium-enhancement (LGE) imaging as well as first-pass perfusion acquisitions at rest for MyoTT measurement. MyoTT was defined as the blood circulation time from the orifice of the coronary arteries to the pooling in the coronary sinus (CS) reflecting the transit-time of gadolinium in the myocardial microvasculature.

Results

MyoTT was significantly prolonged in patients with CA compared to both groups: 14.8 ± 4.1 s in CA vs. 12.2 ± 2.5 s in HCM (p = 0.043) vs. 7.2 ± 2.6 s in controls (p < 0.001). Native T1 and extracellular volume (ECV) were significantly higher in CA compared to HCM and controls (p < 0.001). Both parameters were associated with a higher diagnostic accuracy in predicting the presence of CA compared to MyoTT: area under the curve (AUC) for native T1 = 0.93 (95% confidence interval (CI) = 0.83–1.00; p < 0.001) and AUC for ECV = 0.95 (95% CI = 0.88–1.00; p < 0.001)—compared to the AUC for MyoTT = 0.76 (95% CI = 0.60–0.92; p = 0.008). In contrast, MyoTT performed better than all other CMR parameters in differentiating HCM from controls (AUC for MyoTT = 0.93; 95% CI = 0.81–1.00; p = 0.003 vs. AUC for native T1 = 0.69; 95% CI = 0.44–0.93; p = 0.20 vs. AUC for ECV = 0.85; 95% CI = 0.66–1.00; p = 0.017).

Conclusion

The relative severity of CMD (measured by MyoTT) in relationship to extracellular changes (measured by native T1 and/or ECV) is more pronounced in HCM compared to CA—in spite of a higher absolute MyoTT value in CA patients. Hence, MyoTT may improve our understanding of the interplay between extracellular/intracellular and intravasal changes that occur in the myocardium during the disease course of different cardiomyopathies.
Hinweise
Grigorios Chatzantonis and Michael Bietenbeck have contributed equally to this work.
Abkürzungen
AL
Immunoglobulin light chain amyloidosis
ATTR
Transthyretin amyloidosis
CA
Cardiac amyloidosis
CAD
Coronary artery disease
CMD
Coronary microvascular dysfunction
CMR
Cardiovascular magnetic resonance
CS
Coronary sinus
HCM
Hypertrophic cardiomyopathy
HF
Heart failure
IQR
Interquartile range
LGE
Late-gadolinium-enhancement
LV
Left ventricle
LV-EDV
Left-ventricular end-diastolic volume
LV-EF
Left-ventricular ejection fraction
MBF
Myocardial blood flow
MPR
Myocardial perfusion reserve
MyoTT
Myocardial transit-time
ROI
Region of interest
VENC
Velocity encoding

Introduction

Systemic amyloidoses comprise a growing group of disorders caused by the extracellular deposition of misfolded proteins in various organs such as heart, liver, kidney, skin, eyes, lungs, and nervous system, thereby resulting in different clinical manifestations [1]. Cardiac involvement varies among types of amyloidosis, most commonly found in immunoglobulin light chain (AL) and transthyretin (ATTR) amyloidosis [2]. Infiltration of the human heart by amyloid deposits is associated with a high morbidity and poor prognosis [3, 4]. Therefore, diagnosis of cardiac involvement at the early stages and initiation of a targeted therapy (if possible) may tremendously affect individual prognosis.
Cardiac amyloidosis (CA) is characterized by rapid progressive heart failure, arrhythmias, orthostatic dysregulation, and conduction abnormalities [5]. Due to the accumulation of amyloid in the myocardial interstitium, relaxation and compliance of the heart muscle are impaired, resulting in a restrictive form of cardiomyopathy [6, 7] that is also called “stiff heart” syndrome [8]. Noteworthy, amyloid fibrils cannot only deposit in the atrial and ventricular walls, in the valves and the conduction system, but also accumulate in the vessel walls of the coronary and microvascular system [9]. In this context, infiltration and accumulation of amyloid in coronary vessel walls may result in impaired vasodilation, microinfarction, luminal obliteration, and eventually reduced myocardial perfusion [10].
In contrast to CA, other forms of hypertrophic cardiomyopathy (HCM) are more frequent [11]: In particular, “conventional” HCM that is mostly caused by mutations in genes encoding proteins of the cardiac sarcomere is an important differential diagnosis in patients with hypertrophied left ventricles not caused by arterial hypertension [12]. Patients with such “conventional” HCM forms can be either asymptomatic or show symptoms of heart failure (HF), chest pain, or arrhythmias [13]. Histologically, “conventional” HCM forms are characterized by myocardial fibrosis, disarray, and small vessel disease [14]. Noteworthy, cellular architecture is disorganized [15], and different patterns of fibrosis may occur including perivascular fibrosis and microscopic replacement scars as a result of silent microvascular ischemia leading to cell death [16, 17].
Cardiovascular magnetic resonance (CMR) plays an important role in the diagnosis and differentiation of both pathological entities (CA and HCM) that are characterized by hypertrophied ventricular walls. In case of CA, late gadolinium enhancement (LGE) imaging reveals a characteristic pattern of diffuse LGE starting from the subendocardial layer of the myocardium and eventually involving all myocardial layers and segments [1822]. In contrast, the “conventional” HCM is characterized by a focally accentuated, rather patchy pattern of LGE in the most hypertrophied segments of the left-ventricular myocardium [2327].
In a recent study, we introduced a novel CMR parameter called “myocardial transit-time” (MyoTT) allowing a non-invasive and very quick assessment of coronary microvascular dysfunction (CMD) [28]. Based on the promising results of this previous study, we hypothesized that MyoTT could accurately measure the changes in the myocardial microvasculature and help to differentiate predominant intra-/perivascular changes from non-vascular interstitial processes that occur in the course of the aforementioned cardiomyopathies (CA and HCM). Therefore, the diagnostic yield of the novel CMR parameter MyoTT was assessed (in comparison to the other established CMR parameters) in both patients with CA and “conventional” HCM.

Methods

Study population

All patients included in this prospective, single-center study who underwent a routine CMR examination for work-up of suspected non-ischemic cardiomyopathy. The first study group (CA group) comprised N = 20 patients with biopsy-proven cardiac amyloidosis (including both AL and ATTR subtypes). The second study group (HCM group) comprised N = 20 patients with “conventional” HCM showing normal LV ejection fraction (LV-EF) ≥ 50%, LV wall thickness ≥ 15 mm (that could not be explained by abnormal loading conditions), absence of LV outflow tract obstruction and of known CAD, or any other infiltrative cardiomyopathy. Patients with any history of relevant valvular disease (at least grade II in echocardiography and/or at least moderate in CMR), prosthetic valves, and congenital heart disease were excluded. In addition, a control group (N = 20) without any structural and functional cardiac abnormalities and a low pre-test probability of CAD was recruited. The local ethics committee approved the study protocol and written informed consent was obtained from every patient prior to the CMR study.

CMR acquisition

CMR imaging was performed on a 1.5-T system (Ingenia, Philips Healthcare, Best, The Netherlands) during breath-hold and with ECG-triggering. The CMR protocol (Fig. 1) included standard 2D sequences for cine imaging, myocardial resting perfusion and LGE-imaging. In addition, a modified Look Locker inversion recovery (MOLLI) T1-mapping sequence was applied in three short-axis views prior to contrast agent administration and ~ 20 min thereafter to determine extracellular volume fraction (ECV). For the measurement of MyoTT, at least one perfusion slice was planned to cover the coronary sinus (CS) and the aortic root [using 0.075 mmol/kg BW gadolinium (Gadobutrol) and a 30 ml saline flush at 4 ml/s], described in more detail elsewhere [28].

CMR data analysis

Image analysis and interpretation were performed using commercially available software (cvi42, Circle Cardiovascular Imaging, Calgary, Alberta, Canada). Ventricular volumes and LV mass were determined by contouring short-axis cine images. For the assessment of MyoTT, the temporal difference between the arrivals of contrast agent in the aortic root and the coronary sinus was measured as described in more detail in a previous publication [28]. LGE images were visually assessed as described in more detail elsewhere [29]. For the assessment of global LV deformation, 3D LV global longitudinal strain (LV-GLS) was calculated on standard cine images. Endo- and epicardial contours were drawn on long-axis and short-axis images. All analyses were performed offline by two experienced readers blinded to each other.

Statistical analysis

Statistical analysis was performed with SPSS (version 25.0, IBM Corp., Armonk, NY). Continuous variables are expressed as mean with ± standard deviation, whereas skewed variables as median ± interquartile range. Categorical variables are expressed as frequency with percentage. One-way ANOVA was used for comparison of normally distributed, homogenous data, and when the data failed the assumption on homogeneity of variances (Levene’s test), Welch–ANOVA was used instead. Kruskal–Wallis test was used for comparison of non-normally distributed variables. The Chi-square test with Bonferroni correction was used to compare non-continuous variables. For the assessment of the relationship between different CMR parameters, Spearman correlation was performed. Receiver-operating characteristic curves (ROC) were analyzed to assess the specificity and sensitivity of different CMR measurements to identify patients with CA within the whole cohort as well as to differentiate HCM patients from controls. A p value ≤ 0.05 was considered statistically significant.

Results

Study population

The study population characteristics are summarized in Table 1. Males and females were equally distributed in the CA and HCM group. Median age differed significantly between the CA and both the HCM and control group (70 ± 12 years in CA vs. 49 ± 18 years in HCM vs. 50 ± 16 years in controls; p < 0.001) as expected due to the higher prevalence of CA in elderly patients. There were no significant differences regarding major cardiovascular disease risk factors that could theoretically influence the extent of coronary microvascular dysfunction (CMD) in our patients.
Table 1
Patient characteristics
 
CA patients
HNCM patients
Control group
p value (CA vs. HNCM)
p value (CA vs. control)
N = 20
N = 20
N = 20
Male, N (%)
15 (75)
16 (80)
9 (45)
1.00
0.11
Age, years
70 (± 12)
49 (± 18)
50 (± 16)
 < 0.001
 < 0.001
Hypertension, N (%)
13 (65)
7 (35)
6 (30)
0.11
0.06
Diabetes, N (%)
3 (15)
3 (15)
0 (0)
1.00
0.23
High cholesterol, N (%)
7 (35)
4 (20)
5 (25)
0.48
0.73
Current smoker, N (%)
1 (5)
7 (35)
4 (20)
0.09
0.34
Bold indicates p < 0.05

Conventional CMR findings

All anatomic, functional, and structural CMR findings are listed in Table 2. Compared to HCM patients and controls, left-ventricular ejection fraction (LV-EF) was slightly lower in CA patients—but still within quite normal range. Cardiac index (CI) did not differ significantly between the groups. Left-ventricular hypertrophy (LVH) was present both in CA and HCM patients—with a predominantly concentric pattern of LVH in CA patients vs. an asymmetric, septally pronounced pattern of LVH in HCM patients. Moreover, a non-ischemic, diffuse subendocardial-to-transmural pattern of LGE predominantly present in the LV basal-to-midventricular segments was detected in CA patients—with a much broader myocardial extent in comparison to the focally accentuated, patchy pattern of LGE in HCM patients (47 ± 34% vs. 15 ± 11%, p = 0.002). No LGE was present in the control group (p < 0.001).
Table 2
Conventional CMR parameters
 
CA patients
HNCM patients
Control group
p value (CA vs. HNCM)
p value (CA vs. control)
N = 20
N = 20
N = 20
LV-EF, %
53 (47–63)
64 (57–70)
60 (58–67)
0.003
0.005
LV-EDV index, ml/m2
81 (± 18)
72 (± 15)
75 (± 14)
0.17
0.62
LV-ESV index, ml/m2
37 (± 9)
27 (± 9)
28 (± 8)
0.001
0.005
LV mass index, g/m2
91 (80–114)
79 (62–99)
50 (45–56)
0.55
 < 0.001
Max. LV wall thickness, mm
19 (16–21)
17 (15–26)
9 (8–11)
1.00
 < 0.001
Cardiac Index, (l/min)/m2
3.1 (± 0.6)
3.4 (± 0.5)
3.6 (± 0.8)
0.96
0.11
RV-EDV index, ml/m2
80 (± 21)
66 (± 14)
75 (± 15)
0.07
1.00
RV-ESV index, ml/m2
39 (± 16)
24 (± 10)
28 (± 9)
0.004
0.029
LGE presence, N (%)
20 (100)
18 (90)
0 (0)
0.487
 < 0.001
LGE extent, %
47 (± 34)
15 (± 11)
0 (± 0)
0.002
 < 0.001
Bold indicates p < 0.05

MyoTT findings compared to strain and mapping findings

MyoTT was significantly prolonged in patients with CA compared to both groups: 14.8 ± 4.1 s in CA vs. 12.2 ± 2.5 s in HCM (p = 0.043) vs. 7.2 ± 2.6 s in controls (p < 0.001), as illustrated in Fig. 2. Similar results were found for native T1 mapping and ECV measurement: both were significantly higher in CA (both p < 0.001). In addition, LV-GLS was also significantly impaired in CA compared to HCM as well as controls (Table 3).
Table 3
Myocardial transit-time (MyoTT) and novel CMR parameters
 
CA patients
HNCM patients
Control group
p value (CA vs. HNCM)
p value (CA vs. control)
N = 20
N = 20
N = 20
Absolute MyoTT, sec
14.8 ± 4.1
12.2 ± 2.5
7.2 ± 2.6
0.043
 < 0.001
MyoTT indexed to heart rate
0.214 ± 0.120
0.168 ± 0.050
0.085 ± 0.033
0.26
 < 0.001
LV-GLS (3D), %
− 7.4 ± 3.8
− 10.2 ± 3.2
− 14.9 ± 2.0
0.020
 < 0.001
Native T1 mapping, ms
1128 ± 86
1016 ± 41
996 ± 27
 < 0.001
 < 0.001
ECV, %
48 ± 12
30 ± 7
22 ± 5
 < 0.001
 < 0.001
Bold indicates p < 0.05
In patients with CA, a significant—but not very strong—correlation was found between MyoTT and the extent of LGE (r = 0.490, p = 0.033), LV-GLS (r = 0.496, p = 0.031), and global ECV (r = 0.541, p = 0.030) (Table 4). Receiver-operating-characteristic (ROC) analysis was performed for all novel CMR parameters including MyoTT, LV-GLS, native T1 mapping, and global ECV regarding the delineation of CA (Fig. 3a,  Table 5): Global ECV showed the highest diagnostic yield with an area-under-the-curve (AUC) of 0.95 (p < 0.001). In contrast, MyoTT showed a higher diagnostic yield than all the other CMR parameters (including global ECV) regarding the differentiation of patients with “conventional” HCM from healthy controls with an AUC of 0.93 (p = 0.003) (Fig. 3b).
Table 4
Correlation between myocardial transit-time (MyoTT) and other clinical and CMR parameters in patients with cardiac amyloidosis (CA)
 
CA patients (N = 20)
r
p value
Clinical parameters
 Male, N (%)
− 0.051
0.83
 Age, years
0.401
0.08
 Hypertension, N (%)
0.468
0.037
 Diabetes, N (%)
0.064
0.79
 High cholesterol, N (%)
0.303
0.19
 Current smoker, N (%)
− 0.345
0.14
Conventional CMR parameters
 LV-EF, %
− 0.189
0.42
 LV-EDV index, ml/m2
0.214
0.37
 LV-ESV index, ml/m2
0.363
0.12
 LV mass index, g/m2
0.541
0.014
 Max. LV wall thickness, mm
0.453
0.045
 RV-EF, %
− 0.093
0.70
 RV-EDV index, ml/m2
0.290
0.21
 RV-ESV index, ml/m2
0.294
0.21
 LGE extent, %
0.490
0.033
Novel CMR parameters
 LV-GLS (3D), %
0.496
0.031
 Native T1 mapping, ms
0.235
0.36
 ECV, %
0.541
0.030
Bold indicates p < 0.05
Table 5
Delineation of hypertrophic cardiomyopathy (HCM) from controls as well as cardiac amyloidosis (CA)
 
HNCM vs. control
HNCM vs CA
Cut-off
Sensitivity (%)
Specificity (%)
Accuracy (%)
Cut-off
Sensitivity (%)
Specificity (%)
Accuracy (%)
Absolute MyoTT, ms
9.1
86
66
85
14.7
50
86
65
Native T1 mapping, ms
1012
57
66
65
1051
88
79
82
ECV, %
25
79
83
80
33
88
79
83
Specifically, an MyoTT cut-off value of 9.1 s had an 86% sensitivity and 66% specificity (diagnostic accuracy 85%) in distinguishing HCM from controls (Table 5). In comparison, a cut-off value for native T1 of 1012 ms had a 57% sensitivity and 67% specificity (accuracy 65%), whereas an ECV value of 25% showed a 79% sensitivity and an 83% specificity in distinguishing HCM patients from controls (accuracy 80%). In contrast, regarding the differentiation of CA from HCM patients, an MyoTT cut-off value of 14.7 s showed a 50% sensitivity and 86% specificity (accuracy 65%), whereas a native T1 value of 1051 ms showed a 88% sensitivity and 79% specificity (accuracy 82%). The latter numbers are similar for ECV mapping and a cut-off value of 33%.

Discussion

To the best of our knowledge, this is the first study that assesses the diagnostic yield of the novel CMR parameter MyoTT in both patients with CA and “conventional” HCM—in comparison to other established CMR parameters. The present study findings clearly show that mapping-based ECV is superior to MyoTT regarding the diagnosis of an “infiltrative” and predominantly “extracellular” disease such as CA. However, the present data also show that MyoTT is a very sensitive novel CMR parameter that allows both detection and characterization of cardiac diseases like “conventional” HCM that are characterized by less pronounced “extracellular” remodeling, but are rather dominated by “intracellular” and subsequent “intravascular” changes. In this context, MyoTT may not only help in the appropriate diagnosis and quantification of the severity of intra-/microvascular changes, but also be used to elegantly and easily monitor the course of the respective cardiac disease.
The assessment of CMD in non-ischemic cardiomyopathies has potential clinical value in different cardiomyopathies [30]. Briefly, the extent and severity of CMD correlates with worsening heart failure and poor clinical outcomes [31, 32]. In particular, hypertrophic heart diseases are characterized by CMD, and both “conventional” HCM [33] and cardiac amyloidosis [34] are typical examples. Obviously, there is a continuous interplay between myocardial perfusion abnormalities (particularly in the microvasculature) and myocardial tissue structure/remodeling. Novel CMR-methods such as T1 mapping and ECV measurement offer a unique non-invasive tool for myocardial tissue characterization and represent increasingly attractive techniques for clinicians in the work-up of cardiomyopathies. Changes in native T1-time and ECV value allow the assessment and quantification of primarily extracellular changes in the human myocardium [35]. In this context, different native T1- and ECV values were measured for the “conventional” HCM [36] and CA [37] patients. However, mapping and ECV measurements neither allow to directly assess “intravascular” changes nor to assess the degree of CMD. In contrast, MyoTT is a novel CMR parameter that promises to easily assess “intravascular” changes and quantify the degree of CMD.
In the case of an infiltrative cardiomyopathy like CA, structural changes of the extracellular space (in particular enlargement of ECV due to amyloid deposition) are expected to precede potential intravascular changes, resulting in CMD [34]. In addition, not only external compression of the coronary microvasculature by extracellular amyloid deposits but also additional amyloid deposits in the coronary vessel wall can increase the degree of CMD and induce severe myocardial ischemia even in the absence of epicardial obstructive CAD [38]. Therefore, the finding that the highest MyoTT values (reflecting severe CMD) were obtained in CA patients is not surprising. However, in the present study, native T1 mapping and ECV showed a higher diagnostic yield in comparison to MyoTT regarding the identification of patients with CA. This finding nicely illustrates that mapping and ECV measurement represent ideal imaging tools for the detection of cardiac diseases that are characterized by a predominant extracellular enlargement and support the aforementioned explanation that CMD (assessed by MyoTT) represents a less pronounced result of this extracellular process.
In contrast to CA, the histological characteristics of “conventional” HCM comprise myocyte hypertrophy and disarray as well as diffuse interstitial and perivascular fibrosis [39]. Coronary resistance increases in HCM not only due to “intracellular” enlargement with subsequent decrease in “extracellular” space but also due to vessel wall hypertrophy with subsequent reduction in luminal area, resulting in myocardial ischemia, myocyte death, and replacement fibrosis [17]. Noteworthy, the extracellular changes that are found in patients with advanced HCM are at least in part the result of abnormalities in the coronary microvasculature. Hence, the present finding that MyoTT is a sensitive parameter to differentiate patients with the conventional HCM from controls is not surprising and is backed up by the knowledge that the relative severity of CMD in relation to extracellular changes is more pronounced in HCM compared to CA. However, it must be emphasized that native T1 and ECV mapping are more useful techniques for the work-up of LV hypertrophy of unknown origin than MyoTT and provide a more reliable diagnosis of cardiac amyloidosis than MyoTT per se.
As shown in our previous study [28] and confirmed in the present one, the severity of CMD correlates with longitudinal strain in both HCM and CA. These findings are in line with the previous data that suggest an association between LV deformation behavior and myocardial ischemia in HCM patients [40]. Accordingly, the presence of both impaired longitudinal strain and CMD is frequently observed in CA patients, since an impaired longitudinal strain is partially due to disturbed microvascular function: the majority of longitudinal fibers are located in the subendocardium that in turn is more susceptible to (microvascular) ischemia [34]. Hence, the finding of a substantial correlation between MyoTT to longitudinal strain is of great interest: since abnormal myocardial deformation was shown to be associated with a higher rate of adverse cardiac events in HCM patients [41] and a worse survival in CA patients [42], a similar prognostic value can be deduced for the novel CMR parameter MyoTT. However, future studies are needed to prove this hypothesis.

Limitations

It should be emphasized that a direct comparison regarding the diagnostic yield of MyoTT vs. routine CMR work-up (comprising cine- and LGE-imaging) for CA and/or HCM was not performed. Since the diagnostic value of the aforementioned routine CMR sequences in the assessment of unclear LV hypertrophy is already high, it is fair to assume that the addition of MyoTT will add only little to overall diagnostic certainty.
CA comprises different subtypes dependent on the precursor protein. For the purpose of this hypothesis-generating pilot study, no distinction was made between the different types of CA (AL and ATTR), because the underlying mechanism of cardiac involvement seems to be similar [43]. In addition, since CA is a rare disease, the size of our study group is limited [44]. Patients with obstructive CAD were excluded to minimize the risk of affecting measurement of MyoTT. Finally, the practical limitations of our novel MyoTT approach were already described in detail in our previous study [28].

Conclusion

MyoTT provides additive information to the data that can be obtained from parametric mapping and strain measurement. The relative severity of CMD (measured by MyoTT) in relationship to extracellular changes (measured by ECV) is more pronounced in HCM compared to CA—in spite of a higher absolute MyoTT value in CA patients. Hence, MyoTT may improve our understanding of the interplay between extracellular/intracellular and intravasal changes that occur in the myocardium during the disease course of different cardiomyopathies.

Acknowledgements

Open Access funding provided by Projekt DEAL.

Compliance with ethical standards

Conflict of interest

The author(s) declare that they have no conflict of interest.
The study protocol complies with the Declaration of Helsinki. Written informed consent was obtained from every patient.
Not applicable.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

Unsere Produktempfehlungen

Neuer Inhalt

Print-Titel

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

Literatur
1.
Zurück zum Zitat Cohen AS (1967) Amyloidosis. N Engl J Med 277(10):522–530 (contd)PubMed Cohen AS (1967) Amyloidosis. N Engl J Med 277(10):522–530 (contd)PubMed
2.
Zurück zum Zitat Quarta CC, Kruger JL, Falk RH (2012) Cardiac amyloidosis. Circulation 126(12):e178–e182PubMed Quarta CC, Kruger JL, Falk RH (2012) Cardiac amyloidosis. Circulation 126(12):e178–e182PubMed
3.
Zurück zum Zitat Palladini G, Dispenzieri A, Gertz MA, Kumar S, Wechalekar A, Hawkins PN et al (2012) New criteria for response to treatment in immunoglobulin light chain amyloidosis based on free light chain measurement and cardiac biomarkers: impact on survival outcomes. J Clin Oncol 30(36):4541–4549PubMed Palladini G, Dispenzieri A, Gertz MA, Kumar S, Wechalekar A, Hawkins PN et al (2012) New criteria for response to treatment in immunoglobulin light chain amyloidosis based on free light chain measurement and cardiac biomarkers: impact on survival outcomes. J Clin Oncol 30(36):4541–4549PubMed
4.
Zurück zum Zitat Takashio S, Izumiya Y, Jinnin M, Yamamuro M, Kojima S, Ihn H et al (2012) Diagnostic and prognostic value of subcutaneous tissue biopsy in patients with cardiac amyloidosis. Am J Cardiol 110(10):1507–1511PubMed Takashio S, Izumiya Y, Jinnin M, Yamamuro M, Kojima S, Ihn H et al (2012) Diagnostic and prognostic value of subcutaneous tissue biopsy in patients with cardiac amyloidosis. Am J Cardiol 110(10):1507–1511PubMed
6.
Zurück zum Zitat Chew C, Ziady GM, Raphael MJ, Oakley CM (1975) The functional defect in amyloid heart disease. The "stiff heart" syndrome. Am J Cardiol 36(4):438–444PubMed Chew C, Ziady GM, Raphael MJ, Oakley CM (1975) The functional defect in amyloid heart disease. The "stiff heart" syndrome. Am J Cardiol 36(4):438–444PubMed
7.
Zurück zum Zitat Swanton RH, Brooksby IA, Davies MJ, Coltart DJ, Jenkins BS, Webb-Peploe MM (1977) Systolic and diastolic ventricular function in cardiac amyloidosis. Studies in six cases diagnosed with endomyocardial biopsy. Am J Cardiol 39(5):658–664PubMed Swanton RH, Brooksby IA, Davies MJ, Coltart DJ, Jenkins BS, Webb-Peploe MM (1977) Systolic and diastolic ventricular function in cardiac amyloidosis. Studies in six cases diagnosed with endomyocardial biopsy. Am J Cardiol 39(5):658–664PubMed
8.
Zurück zum Zitat Kilpatrick TR, Horack HM, Moore CB (1967) "Stiff heart" syndrome. An uncommon cause of heart failure. Med Clin N Am 51(4):959–966PubMed Kilpatrick TR, Horack HM, Moore CB (1967) "Stiff heart" syndrome. An uncommon cause of heart failure. Med Clin N Am 51(4):959–966PubMed
9.
Zurück zum Zitat Falk RH, Dubrey SW (2010) Amyloid heart disease. Prog Cardiovasc Dis 52(4):347–361PubMed Falk RH, Dubrey SW (2010) Amyloid heart disease. Prog Cardiovasc Dis 52(4):347–361PubMed
10.
Zurück zum Zitat Smith RR, Hutchins GM (1979) Ischemic heart disease secondary to amyloidosis of intramyocardial arteries. Am J Cardiol 44(3):413–417PubMed Smith RR, Hutchins GM (1979) Ischemic heart disease secondary to amyloidosis of intramyocardial arteries. Am J Cardiol 44(3):413–417PubMed
11.
Zurück zum Zitat Maron BJ, Gardin JM, Flack JM, Gidding SS, Kurosaki TT, Bild DE (1995) Prevalence of hypertrophic cardiomyopathy in a general population of young adults. Echocardiographic analysis of 4111 subjects in the CARDIA Study. Coronary Artery Risk Development in (Young) Adults. Circulation 92(4):785–789PubMed Maron BJ, Gardin JM, Flack JM, Gidding SS, Kurosaki TT, Bild DE (1995) Prevalence of hypertrophic cardiomyopathy in a general population of young adults. Echocardiographic analysis of 4111 subjects in the CARDIA Study. Coronary Artery Risk Development in (Young) Adults. Circulation 92(4):785–789PubMed
12.
Zurück zum Zitat Maron BJ, Maron MS (2013) Hypertrophic cardiomyopathy. Lancet 381(9862):242–255PubMed Maron BJ, Maron MS (2013) Hypertrophic cardiomyopathy. Lancet 381(9862):242–255PubMed
13.
Zurück zum Zitat Spirito P, Chiarella F, Carratino L, Berisso MZ, Bellotti P, Vecchio C (1989) Clinical course and prognosis of hypertrophic cardiomyopathy in an outpatient population. N Engl J Med 320(12):749–755PubMed Spirito P, Chiarella F, Carratino L, Berisso MZ, Bellotti P, Vecchio C (1989) Clinical course and prognosis of hypertrophic cardiomyopathy in an outpatient population. N Engl J Med 320(12):749–755PubMed
14.
Zurück zum Zitat Moon JC (2007) What is late gadolinium enhancement in hypertrophic cardiomyopathy? Rev Esp Cardiol 60(1):1–4PubMed Moon JC (2007) What is late gadolinium enhancement in hypertrophic cardiomyopathy? Rev Esp Cardiol 60(1):1–4PubMed
15.
Zurück zum Zitat Maron BJ, Roberts WC (1979) Quantitative analysis of cardiac muscle cell disorganization in the ventricular septum of patients with hypertrophic cardiomyopathy. Circulation 59(4):689–706PubMed Maron BJ, Roberts WC (1979) Quantitative analysis of cardiac muscle cell disorganization in the ventricular septum of patients with hypertrophic cardiomyopathy. Circulation 59(4):689–706PubMed
16.
Zurück zum Zitat Basso C, Thiene G, Corrado D, Buja G, Melacini P, Nava A (2000) Hypertrophic cardiomyopathy and sudden death in the young: pathologic evidence of myocardial ischemia. Hum Pathol 31(8):988–998PubMed Basso C, Thiene G, Corrado D, Buja G, Melacini P, Nava A (2000) Hypertrophic cardiomyopathy and sudden death in the young: pathologic evidence of myocardial ischemia. Hum Pathol 31(8):988–998PubMed
17.
Zurück zum Zitat Maron BJ, Wolfson JK, Epstein SE, Roberts WC (1986) Intramural ("small vessel") coronary artery disease in hypertrophic cardiomyopathy. J Am Coll Cardiol 8(3):545–557PubMed Maron BJ, Wolfson JK, Epstein SE, Roberts WC (1986) Intramural ("small vessel") coronary artery disease in hypertrophic cardiomyopathy. J Am Coll Cardiol 8(3):545–557PubMed
18.
Zurück zum Zitat Pennell DJ, Maceira AM (2009) Magnetic resonance imaging in cardiac amyloidosis. JACC Cardiovasc Imaging 2(12):1378–1380PubMed Pennell DJ, Maceira AM (2009) Magnetic resonance imaging in cardiac amyloidosis. JACC Cardiovasc Imaging 2(12):1378–1380PubMed
19.
Zurück zum Zitat Maceira AM, Joshi J, Prasad SK, Moon JC, Perugini E, Harding I et al (2005) Cardiovascular magnetic resonance in cardiac amyloidosis. Circulation 111(2):186–193PubMed Maceira AM, Joshi J, Prasad SK, Moon JC, Perugini E, Harding I et al (2005) Cardiovascular magnetic resonance in cardiac amyloidosis. Circulation 111(2):186–193PubMed
20.
Zurück zum Zitat Ruberg FL, Appelbaum E, Davidoff R, Ozonoff A, Kissinger KV, Harrigan C et al (2009) Diagnostic and prognostic utility of cardiovascular magnetic resonance imaging in light-chain cardiac amyloidosis. Am J Cardiol 103(4):544–549PubMed Ruberg FL, Appelbaum E, Davidoff R, Ozonoff A, Kissinger KV, Harrigan C et al (2009) Diagnostic and prognostic utility of cardiovascular magnetic resonance imaging in light-chain cardiac amyloidosis. Am J Cardiol 103(4):544–549PubMed
21.
Zurück zum Zitat Austin BA, Tang WH, Rodriguez ER, Tan C, Flamm SD, Taylor DO et al (2009) Delayed hyper-enhancement magnetic resonance imaging provides incremental diagnostic and prognostic utility in suspected cardiac amyloidosis. JACC Cardiovasc Imaging 2(12):1369–1377PubMed Austin BA, Tang WH, Rodriguez ER, Tan C, Flamm SD, Taylor DO et al (2009) Delayed hyper-enhancement magnetic resonance imaging provides incremental diagnostic and prognostic utility in suspected cardiac amyloidosis. JACC Cardiovasc Imaging 2(12):1369–1377PubMed
22.
Zurück zum Zitat Maceira AM, Prasad SK, Hawkins PN, Roughton M, Pennell DJ (2008) Cardiovascular magnetic resonance and prognosis in cardiac amyloidosis. J Cardiovasc Magn R 10:54 Maceira AM, Prasad SK, Hawkins PN, Roughton M, Pennell DJ (2008) Cardiovascular magnetic resonance and prognosis in cardiac amyloidosis. J Cardiovasc Magn R 10:54
23.
Zurück zum Zitat Amano Y, Kitamura M, Takano H, Yanagisawa F, Tachi M, Suzuki Y et al (2018) Cardiac MR imaging of hypertrophic cardiomyopathy: techniques, findings, and clinical relevance. Magn Reson Med Sci 17(2):120–131PubMedPubMedCentral Amano Y, Kitamura M, Takano H, Yanagisawa F, Tachi M, Suzuki Y et al (2018) Cardiac MR imaging of hypertrophic cardiomyopathy: techniques, findings, and clinical relevance. Magn Reson Med Sci 17(2):120–131PubMedPubMedCentral
24.
Zurück zum Zitat Rowin EJ, Maron MS (2016) The role of cardiac MRI in the diagnosis and risk stratification of hypertrophic cardiomyopathy. Arrhythm Electrophysiol Rev 5(3):197–202PubMedPubMedCentral Rowin EJ, Maron MS (2016) The role of cardiac MRI in the diagnosis and risk stratification of hypertrophic cardiomyopathy. Arrhythm Electrophysiol Rev 5(3):197–202PubMedPubMedCentral
25.
Zurück zum Zitat Axelsson Raja A, Farhad H, Valente AM, Couce JP, Jefferies JL, Bundgaard H et al (2018) Prevalence and progression of late gadolinium enhancement in children and adolescents with hypertrophic cardiomyopathy. Circulation 138(8):782–792PubMed Axelsson Raja A, Farhad H, Valente AM, Couce JP, Jefferies JL, Bundgaard H et al (2018) Prevalence and progression of late gadolinium enhancement in children and adolescents with hypertrophic cardiomyopathy. Circulation 138(8):782–792PubMed
26.
Zurück zum Zitat Mentias A, Raeisi-Giglou P, Smedira NG, Feng K, Sato K, Wazni O et al (2018) Late gadolinium enhancement in patients with hypertrophic cardiomyopathy and preserved systolic function. J Am Coll Cardiol 72(8):857–870PubMed Mentias A, Raeisi-Giglou P, Smedira NG, Feng K, Sato K, Wazni O et al (2018) Late gadolinium enhancement in patients with hypertrophic cardiomyopathy and preserved systolic function. J Am Coll Cardiol 72(8):857–870PubMed
27.
Zurück zum Zitat Rupp S, Felimban M, Schanzer A, Schranz D, Marschall C, Zenker M et al (2019) Genetic basis of hypertrophic cardiomyopathy in children. Clin Res Cardiol 108(3):282–289PubMed Rupp S, Felimban M, Schanzer A, Schranz D, Marschall C, Zenker M et al (2019) Genetic basis of hypertrophic cardiomyopathy in children. Clin Res Cardiol 108(3):282–289PubMed
29.
Zurück zum Zitat Mewton N, Liu CY, Croisille P, Bluemke D, Lima JA (2011) Assessment of myocardial fibrosis with cardiovascular magnetic resonance. J Am Coll Cardiol 57(8):891–903PubMed Mewton N, Liu CY, Croisille P, Bluemke D, Lima JA (2011) Assessment of myocardial fibrosis with cardiovascular magnetic resonance. J Am Coll Cardiol 57(8):891–903PubMed
30.
Zurück zum Zitat Bietenbeck M, Florian A, Shomanova Z, Meier C, Yilmaz A (2018) Reduced global myocardial perfusion reserve in DCM and HCM patients assessed by CMR-based velocity-encoded coronary sinus flow measurements and first-pass perfusion imaging. Clin Res Cardiol 107(11):1062–1070PubMed Bietenbeck M, Florian A, Shomanova Z, Meier C, Yilmaz A (2018) Reduced global myocardial perfusion reserve in DCM and HCM patients assessed by CMR-based velocity-encoded coronary sinus flow measurements and first-pass perfusion imaging. Clin Res Cardiol 107(11):1062–1070PubMed
31.
Zurück zum Zitat Bravo PE, Di Carli MF, Dorbala S (2017) Role of PET to evaluate coronary microvascular dysfunction in non-ischemic cardiomyopathies. Heart Fail Rev 22(4):455–464PubMedPubMedCentral Bravo PE, Di Carli MF, Dorbala S (2017) Role of PET to evaluate coronary microvascular dysfunction in non-ischemic cardiomyopathies. Heart Fail Rev 22(4):455–464PubMedPubMedCentral
32.
Zurück zum Zitat Sedaghat-Hamedani F, Kayvanpour E, Tugrul OF, Lai A, Amr A, Haas J et al (2018) Clinical outcomes associated with sarcomere mutations in hypertrophic cardiomyopathy: a meta-analysis on 7675 individuals. Clin Res Cardiol 107(1):30–41PubMed Sedaghat-Hamedani F, Kayvanpour E, Tugrul OF, Lai A, Amr A, Haas J et al (2018) Clinical outcomes associated with sarcomere mutations in hypertrophic cardiomyopathy: a meta-analysis on 7675 individuals. Clin Res Cardiol 107(1):30–41PubMed
33.
Zurück zum Zitat Olivotto I, Cecchi F, Gistri R, Lorenzoni R, Chiriatti G, Girolami F et al (2006) Relevance of coronary microvascular flow impairment to long-term remodeling and systolic dysfunction in hypertrophic cardiomyopathy. J Am Coll Cardiol 47(5):1043–1048PubMed Olivotto I, Cecchi F, Gistri R, Lorenzoni R, Chiriatti G, Girolami F et al (2006) Relevance of coronary microvascular flow impairment to long-term remodeling and systolic dysfunction in hypertrophic cardiomyopathy. J Am Coll Cardiol 47(5):1043–1048PubMed
34.
Zurück zum Zitat Dorbala S, Vangala D, Bruyere J Jr, Quarta C, Kruger J, Padera R et al (2014) Coronary microvascular dysfunction is related to abnormalities in myocardial structure and function in cardiac amyloidosis. JACC Heart Fail 2(4):358–367PubMedPubMedCentral Dorbala S, Vangala D, Bruyere J Jr, Quarta C, Kruger J, Padera R et al (2014) Coronary microvascular dysfunction is related to abnormalities in myocardial structure and function in cardiac amyloidosis. JACC Heart Fail 2(4):358–367PubMedPubMedCentral
35.
Zurück zum Zitat Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P et al (2017) Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn R 19(1):75 Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P et al (2017) Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn R 19(1):75
36.
Zurück zum Zitat Parekh K, Markl M, Deng J, de Freitas RA, Rigsby CK (2017) T1 mapping in children and young adults with hypertrophic cardiomyopathy. Int J Cardiovasc Imaging 33(1):109–117PubMed Parekh K, Markl M, Deng J, de Freitas RA, Rigsby CK (2017) T1 mapping in children and young adults with hypertrophic cardiomyopathy. Int J Cardiovasc Imaging 33(1):109–117PubMed
37.
Zurück zum Zitat Kotecha T, Martinez-Naharro A, Treibel TA, Francis R, Nordin S, Abdel-Gadir A et al (2017) 001 Multiparametric mapping to understand pathophysiology in cardiac amyloidosis. Heart 103(Suppl 1):A1–A2 Kotecha T, Martinez-Naharro A, Treibel TA, Francis R, Nordin S, Abdel-Gadir A et al (2017) 001 Multiparametric mapping to understand pathophysiology in cardiac amyloidosis. Heart 103(Suppl 1):A1–A2
38.
Zurück zum Zitat Neben-Wittich MA, Wittich CM, Mueller PS, Larson DR, Gertz MA, Edwards WD (2005) Obstructive intramural coronary amyloidosis and myocardial ischemia are common in primary amyloidosis. Am J Med 118(11):1287PubMed Neben-Wittich MA, Wittich CM, Mueller PS, Larson DR, Gertz MA, Edwards WD (2005) Obstructive intramural coronary amyloidosis and myocardial ischemia are common in primary amyloidosis. Am J Med 118(11):1287PubMed
39.
Zurück zum Zitat Marian AJ, Braunwald E (2017) Hypertrophic cardiomyopathy: genetics, pathogenesis, clinical manifestations, diagnosis, and therapy. Circ Res 121(7):749–770PubMedPubMedCentral Marian AJ, Braunwald E (2017) Hypertrophic cardiomyopathy: genetics, pathogenesis, clinical manifestations, diagnosis, and therapy. Circ Res 121(7):749–770PubMedPubMedCentral
40.
Zurück zum Zitat Betocchi S, Hess OM, Losi MA, Nonogi H, Krayenbuehl HP (1993) Regional left ventricular mechanics in hypertrophic cardiomyopathy. Circulation 88(5 Pt 1):2206–2214PubMed Betocchi S, Hess OM, Losi MA, Nonogi H, Krayenbuehl HP (1993) Regional left ventricular mechanics in hypertrophic cardiomyopathy. Circulation 88(5 Pt 1):2206–2214PubMed
42.
Zurück zum Zitat Koyama J, Falk RH (2010) Prognostic significance of strain Doppler imaging in light-chain amyloidosis. JACC Cardiovasc Imaging 3(4):333–342PubMed Koyama J, Falk RH (2010) Prognostic significance of strain Doppler imaging in light-chain amyloidosis. JACC Cardiovasc Imaging 3(4):333–342PubMed
43.
Zurück zum Zitat Tuzovic M, Yang EH, Baas AS, Depasquale EC, Deng MC, Cruz D et al (2017) Cardiac amyloidosis: diagnosis and treatment strategies. Curr Oncol Rep 19(7):46PubMed Tuzovic M, Yang EH, Baas AS, Depasquale EC, Deng MC, Cruz D et al (2017) Cardiac amyloidosis: diagnosis and treatment strategies. Curr Oncol Rep 19(7):46PubMed
44.
Zurück zum Zitat Lane T, Fontana M, Martinez-Naharro A, Quarta CC, Whelan CJ, Petrie A et al (2019) Natural history, quality of life, and outcome in cardiac transthyretin amyloidosis. Circulation 140(1):16–26PubMed Lane T, Fontana M, Martinez-Naharro A, Quarta CC, Whelan CJ, Petrie A et al (2019) Natural history, quality of life, and outcome in cardiac transthyretin amyloidosis. Circulation 140(1):16–26PubMed
Metadaten
Titel
Diagnostic value of the novel CMR parameter “myocardial transit-time” (MyoTT) for the assessment of microvascular changes in cardiac amyloidosis and hypertrophic cardiomyopathy
verfasst von
Grigorios Chatzantonis
Michael Bietenbeck
Anca Florian
Claudia Meier
Philipp Stalling
Dennis Korthals
Holger Reinecke
Ali Yilmaz
Publikationsdatum
05.05.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Research in Cardiology / Ausgabe 1/2021
Print ISSN: 1861-0684
Elektronische ISSN: 1861-0692
DOI
https://doi.org/10.1007/s00392-020-01661-6

Weitere Artikel der Ausgabe 1/2021

Clinical Research in Cardiology 1/2021 Zur Ausgabe

Update Kardiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.