Datortomografi av hjärtats kranskärl: Åtgärder för en optimal undersökning avseende stråldos och bildkvalitet
Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
Today, invasive coronary angiography (ICA), is the gold standard for assessing and treating coronary artery stenoses. A relatively new method for an alternative examination is coronary computed tomographic angiography (CCTA). Coronary arteries has previously been difficult to image with computed tomography (CT), but due to the rapid technological developments, this method has become more common. This noninvasiv method is beneficial to the patient since it recquires less radiation dose compare to ICA. CCTA can be implemented using different scanning methods and our focus was to analyze different methods and the results regarding the radiation dose to the patient. One drawback is that motion artifacts easily can occur during image acquisition and therefore a slow and stable heart rate is required. Our purpose of this study is to highlight how CCTA is implemented in an optimal way with focus on patient preparation, radiation dose and image acquisition. Based on our purpose, we have read and analyzed 13 scientific articles included in the literature review. The study shows that a stable heart rate, <70 beats per minute, is necessary to achieve diagnostic image quality and reduced radiation dose. Important measures to achieve this is premedication to reduce the heart rate and breathing exercises. Other actions are important, such as patient positioning and the choice of scanning method. Most of the studies favor the prospective scanning method that provides between 57-80% lower radiation dose to the patient. We conclude that the prospective method uses the lowest radiation dose but also requires that individual patient preparations are made to obtain optimal examinations.
Place, publisher, year, edition, pages
2014. , 28 p.
Medicin, Bildkvalitet, datortomografisk koronarangiografi, kranskärlssjukdom, patientförberedelser, stråldos
IdentifiersURN: urn:nbn:se:ltu:diva-57986Local ID: e96db36e-0959-4988-a690-986e1d055461OAI: oai:DiVA.org:ltu-57986DiVA: diva2:1031374
Subject / course
Student thesis, at least 15 credits
Diagnostic Radiology Nursing, bachelor's level
Validerat; 20140220 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved