Abstract
Thesis Outline
This thesis is divided into three parts: Part I provides an overview of the current value
of echocardiography in ARVC and a further elaboration on the possible clinical value of
echocardiographic deformation imaging in ARVC is provided. Part II focuses on early
detection of ARVC and shows the capability of echocardiographic RV deformation imaging to
detect early pathological changes in absence of established disease criteria. While activation
delay is one of the hallmarks of ARVC, we explored the value of measuring activation delay
by RV deformation imaging. We defined a new deformation imaging derived parameter:
time to onset of myocardial contraction (or electromechanical interval (EMI)), as a surrogate
marker for activation delay. In Chapter 3, the hypothesis was tested whether this parameter
could identify signs of activation delay in both ARVC patients and family members during
early disease stages. Previously, several other deformation parameters were described
with potential value for early detection of ARVC. In Chapter 4 we described a new patternbased
approach that combines multiple deformation parameters into deformation patterns,
including those described in chapter 3, and were correlated to disease severity. In the same
chapter, we aimed to characterize the underlying substrate causing these patterns by a
computer model to determine the underlying disease substrate. Based on current literature,
we hypothesized that abnormal deformation patterns in the early stages of ARVC were caused
by an underlying electrical substrate consisting of activation delay. In Chapter 5, we further
explored the clinical value of RV deformation patterns, as proposed in chapter 4, in early
ARVC. In this chapter we tested the hypothesis that the presence of abnormal RV deformation
patterns predicts disease progression in early ARVC. Although ARVC preferentially affects
the RV, early LV abnormalities are now more frequently recognized in ARVC.49-51 Chapter
6 explores the capability of echocardiographic deformation imaging to detect early subtle
LV pathology in ARVC and tested the hypothesis that the presence of LV involvement has
prognostic implications with respect to the occurrence of arrhythmic events, heart failure,
and death.
In Part III, we explored the role of both conventional echocardiography and RV deformation
imaging for the optimal assessment of structural disease. In Chapter 7 we aimed to gain insight
in the capability of conventional echocardiography to detect progressive RV dysfunction in
advanced ARVC during long-term follow-up. Previous studies showed that structural disease
progression detected by conventional imaging approaches is rare in early ARVC. In the last
chapter of this part (chapter 8), we explored the value of echocardiographic deformation
imaging to detect structural disease progression in early ARVC. Our hypothesis was that
echocardiographic deformation imaging detects signs of structural disease progression in
absence of disease progression by conventional imaging approaches.
All parts are discussed further in Chapter 9 and Chapter 10. In these chapters we summarize
our findings and look at the future perspective of echocardiographic deformation imaging
and ARVC.
This thesis is divided into three parts: Part I provides an overview of the current value
of echocardiography in ARVC and a further elaboration on the possible clinical value of
echocardiographic deformation imaging in ARVC is provided. Part II focuses on early
detection of ARVC and shows the capability of echocardiographic RV deformation imaging to
detect early pathological changes in absence of established disease criteria. While activation
delay is one of the hallmarks of ARVC, we explored the value of measuring activation delay
by RV deformation imaging. We defined a new deformation imaging derived parameter:
time to onset of myocardial contraction (or electromechanical interval (EMI)), as a surrogate
marker for activation delay. In Chapter 3, the hypothesis was tested whether this parameter
could identify signs of activation delay in both ARVC patients and family members during
early disease stages. Previously, several other deformation parameters were described
with potential value for early detection of ARVC. In Chapter 4 we described a new patternbased
approach that combines multiple deformation parameters into deformation patterns,
including those described in chapter 3, and were correlated to disease severity. In the same
chapter, we aimed to characterize the underlying substrate causing these patterns by a
computer model to determine the underlying disease substrate. Based on current literature,
we hypothesized that abnormal deformation patterns in the early stages of ARVC were caused
by an underlying electrical substrate consisting of activation delay. In Chapter 5, we further
explored the clinical value of RV deformation patterns, as proposed in chapter 4, in early
ARVC. In this chapter we tested the hypothesis that the presence of abnormal RV deformation
patterns predicts disease progression in early ARVC. Although ARVC preferentially affects
the RV, early LV abnormalities are now more frequently recognized in ARVC.49-51 Chapter
6 explores the capability of echocardiographic deformation imaging to detect early subtle
LV pathology in ARVC and tested the hypothesis that the presence of LV involvement has
prognostic implications with respect to the occurrence of arrhythmic events, heart failure,
and death.
In Part III, we explored the role of both conventional echocardiography and RV deformation
imaging for the optimal assessment of structural disease. In Chapter 7 we aimed to gain insight
in the capability of conventional echocardiography to detect progressive RV dysfunction in
advanced ARVC during long-term follow-up. Previous studies showed that structural disease
progression detected by conventional imaging approaches is rare in early ARVC. In the last
chapter of this part (chapter 8), we explored the value of echocardiographic deformation
imaging to detect structural disease progression in early ARVC. Our hypothesis was that
echocardiographic deformation imaging detects signs of structural disease progression in
absence of disease progression by conventional imaging approaches.
All parts are discussed further in Chapter 9 and Chapter 10. In these chapters we summarize
our findings and look at the future perspective of echocardiographic deformation imaging
and ARVC.
Original language | English |
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Awarding Institution |
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Supervisors/Advisors |
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Award date | 2 Feb 2017 |
Publisher | |
Print ISBNs | 978-94-6233-525-7 |
Publication status | Published - 2 Feb 2017 |