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

Authors
 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 
Citation
 International Journal of Cardiovascular Imaging, Vol.32(Suppl. 1) : 63-71, 2016 
Journal Title
 International Journal of Cardiovascular Imaging 
ISSN
 1569-5794 
Issue Date
2016
MeSH
Aged ; Aortic Valve/diagnostic imaging* ; Aortic Valve/physiopathology ; Aortic Valve/surgery* ; Artifacts ; Cardiac-Gated Imaging Techniques* ; Contrast Media/administration & dosage ; Databases, Factual ; Electrocardiography ; Female ; Heart Rate ; Heart Valve Prosthesis* ; Heart Valve Prosthesis Implantation/instrumentation* ; Humans ; Iopamidol/administration & dosage ; Male ; Middle Aged ; Predictive Value of Tests ; Prosthesis Design ; Reproducibility of Results ; Republic of Korea ; Retrospective Studies ; Tomography, X-Ray Computed* ; Treatment Outcome
Keywords
Aortic valve replacement ; Cardiac computed tomography ; Image quality ; Mechanical valves ; Valve type
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.
Full Text
https://link.springer.com/article/10.1007%2Fs10554-015-0817-5
DOI
10.1007/s10554-015-0817-5
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
김영진(Kim, Young Jin) ORCID logo https://orcid.org/0000-0002-6235-6550
서영주(Suh, Young Joo) ORCID logo https://orcid.org/0000-0002-2078-5832
이혜정(Lee, Hye Jeong) ORCID logo https://orcid.org/0000-0003-4349-9174
임동진(Im, Dong Jin) ORCID logo https://orcid.org/0000-0001-8139-5646
최병욱(Choi, Byoung Wook) ORCID logo https://orcid.org/0000-0002-8873-5444
허진(Hur, Jin) ORCID logo https://orcid.org/0000-0002-8651-6571
홍유진(Hong, Yoo Jin) ORCID logo https://orcid.org/0000-0002-7276-0944
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/151825
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