Journal of cardiovascular computed tomography
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J Cardiovasc Comput Tomogr · May 2017
Randomized Controlled Trial Comparative StudyImproved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.
The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary CT angiography (coronary CTA). ⋯ The combination of K-IMR with BMI-adapted ULD protocols results in significant radiation dose savings while simultaneously improving image quality compared to LD protocols with FBP or hybrid iterative algorithms. Therefore, K-IMR allows for coronary CTA examinations with high diagnostic value and very low radiation exposure in clinical routine.
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J Cardiovasc Comput Tomogr · May 2017
Multicenter StudyPredictive value of perfusion defects on dual energy CTA in the absence of thromboembolic clots.
To determine the predictive value of volumetrically measured lung perfusion defects (PDvol) and right ventricular dysfunction on dual-energy computed tomography angiography (DE-CTA) for predicting all cause mortality in patients suspected of pulmonary embolism (PE) but without evident thromboembolic clot on CTA. ⋯ In the absence of thromboembolic clots, PDvol at DE-CTA appears to be predictive for all cause mortality.