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Erschienen in: The International Journal of Cardiovascular Imaging 1/2016

01.12.2015 | Original Paper

Factors affecting computed tomography image quality for assessment of mechanical aortic valves

verfasst von: Young Joo Suh, Young Jin Kim, Yoo Jin Hong, Hye-Jeong Lee, Jin Hur, Sae Rom Hong, Dong Jin Im, Yun Jung Kim, Byoung Wook Choi

Erschienen in: The International Journal of Cardiovascular Imaging | Sonderheft 1/2016

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Abstract

Evaluating mechanical valves with computed tomography (CT) can be problematic because artifacts from the metallic components of valves can hamper image quality. The purpose of this study was to determine factors affecting the image quality of cardiac CT to improve assessment of mechanical aortic valves. A total of 144 patients who underwent aortic valve replacement with mechanical valves (ten different types) and who underwent cardiac CT were included. Using a four-point grading system, the image quality of the CT scans was assessed for visibility of the valve leaflets and the subvalvular regions. Data regarding the type of mechanical valve, tube voltage, average heart rate (HR), and HR variability during CT scanning were compared between the non-diagnostic (overall image quality score ≤2) and diagnostic (overall image quality score >2) image quality groups. Logistic regression analyses were performed to identify predictors of non-diagnostic image quality. The percentage of valve types that incorporated a cobalt-chrome component (two types in total) and HR variability were significantly higher in the non-diagnostic image group than in the diagnostic group (P < 0.001 and P = 0.013, respectively). The average HR and tube voltage were not significantly different between the two groups (P > 0.05). Valve type was the only independent predictor of non-diagnostic quality. The CT image quality for patients with mechanical aortic valves differed significantly depending on the type of mechanical valve used and on the degree of HR variability.
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Metadaten
Titel
Factors affecting computed tomography image quality for assessment of mechanical aortic valves
verfasst von
Young Joo Suh
Young Jin Kim
Yoo Jin Hong
Hye-Jeong Lee
Jin Hur
Sae Rom Hong
Dong Jin Im
Yun Jung Kim
Byoung Wook Choi
Publikationsdatum
01.12.2015
Verlag
Springer Netherlands
Erschienen in
The International Journal of Cardiovascular Imaging / Ausgabe Sonderheft 1/2016
Print ISSN: 1569-5794
Elektronische ISSN: 1875-8312
DOI
https://doi.org/10.1007/s10554-015-0817-5

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