University of Groningen
Quantitative cardiac dual source CT; from morphology to function
Assen, van, Marly
DOI:
10.33612/diss.93012859
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Publication date: 2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Assen, van, M. (2019). Quantitative cardiac dual source CT; from morphology to function. Rijksuniversiteit Groningen. https://doi.org/10.33612/diss.93012859
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Stellingen
horende bij het proefschrift
Quantitative Cardiac Dual Source CT;
from Morphology to Function
1. Dual Source CT systems are characterized by their relatively high temporal and spatial resolution and good spectral separation compared to Mono Source systems making them especially suitable for cardiac imaging.
2. Coronary CTA derived data show potential to add functional information to anatomical coronary CTA evaluation. (This thesis)
3. Coronary CTA-derived quantitative measurements show discriminatory power to predict future cardiac events and significantly improve the prognostic value compared to stenosis grading alone. (Chapter 4)
4. Distal CT-FFR values are highly influenced by contrast intensity and contrast decay and do not necessarily reflect the functional status. (Chapter 5)
5. Discordance between CT-FFR and CT perfusion reflects the differences in measurement techniques and emphasizes that measurements of flow, pressure, and perfusion capture different mechanisms of CAD physiology. (Chapter 6 and 7)
6. Optimal phase dynamic CT perfusion imaging has the highest predictive value for MACE compared to coronary CTA and CT- FFR, adding evidence to the role of CT myocardial perfusion imaging as a strong predictor of clinical outcome. (Chapter 7)
7. The limited temporal sampling rates in standard dynamic CTMPI contribute to substantial underestimation of myocardial blood flow. (Chapter 9)
8. Perfusion thresholds (mL/g/min) to determine ischemia are highly dependent on the specific tracer kinetic model and imaging protocol used (Chapter 9 and 10).
9. Dual energy based Iodine quantification offers an alternative method to evaluate myocardial ischemia and infarction. (Chapter 12)
10. Dual energy CT can be used for the evaluation of ECV at a lower radiation dose than single energy CT and is especially useful for patients with contraindication for MRI examinations (Chapter 13)
11. Machine learning will replace the majority of cardiac image analysis performed by radiologists.
12. “Not everything that counts can be counted and not everything that can be counted counts.” (Albert Einstein) 13. “Frustration is not an interruption of the process; frustration is the process” (Elizabeth Gilbert)
Marly van Assen
