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University of Groningen Myocardial Magnetic Resonance Imaging in the characterization of Chronic Coronary Syndromes van Dijk, Randy

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University of Groningen

Myocardial Magnetic Resonance Imaging in the characterization of Chronic Coronary

Syndromes

van Dijk, Randy

DOI:

10.33612/diss.147542794

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2020

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

van Dijk, R. (2020). Myocardial Magnetic Resonance Imaging in the characterization of Chronic Coronary Syndromes. University of Groningen. https://doi.org/10.33612/diss.147542794

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STELLINGEN

Horend bij het proefschrift:

Myocardial Magnetic Resonance Imaging in the

characterization of Chronic Coronary Syndromes

1

Smoking causes (sub-)clinical alterations in cardiac structure and function, which can be assessed by cardiac magnetic resonance imaging. (Chapter 2, this thesis)

2

Myocardial T1-reactivity is an excellent indicator of stress-adequacy during stress perfusion cardiac magnetic resonance imaging. (Chapter 5, this thesis)

3

Stress perfusion MR is able to assess myocardial ischemia at high diagnostic accuracy. (Chapter 6, this thesis)

4

Post gadolinium T1-mapping can accurately assess myocardial fibrosis in patients with previous myocardial infarction. (Chapter 8, this thesis)

5

Caffeine ingestion prior to vasodilator cardiac magnetic resonance perfusion imaging has a significant effect on adenosine induced hyperemia, however this effect is less

when using regadenoson. (Chapter 5, this thesis) 6

There is extensive inter-study heterogeneity for assessment of cardiac perfusion with CMR. (Chapter 6, this thesis)

7

Non-invasive imaging techniques will replace a substantial proportion of the current diagnostic invasive coronary angiography procedures.

8

Artificial intelligence will significantly influence the practice of medicine and the delivery of healthcare in the near future. (Mesko et al. npj Digital Medicine, 2020)

9

“The man who moves a mountain begins by carrying away small stones.” (Confucius) 10

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