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A whole-heart motion-correction algorithm: Effects on CT image quality and diagnostic accuracy of mechanical valve prosthesis abnormalities

Authors
 Young Joo Suh  ;  Young Jin Kim  ;  Jin Young Kim  ;  Suyon Chang  ;  Dong Jin Im  ;  Yoo Jin Hong  ;  Byoung Wook Choi 
Citation
 Journal of Cardiovascular Computed Tomography, Vol.11(6) : 474-481, 2017 
Journal Title
 Journal of Cardiovascular Computed Tomography 
ISSN
 1934-5925 
Issue Date
2017
Keywords
Artifacts ; Computed tomography ; Diagnostic accuracy ; Heart valve prostheses ; Image quality ; Motion correction
Abstract
BACKGROUND: We aimed to determine the effect of a whole-heart motion-correction algorithm (new-generation snapshot freeze, NG SSF) on the image quality of cardiac computed tomography (CT) images in patients with mechanical valve prostheses compared to standard images without motion correction and to compare the diagnostic accuracy of NG SSF and standard CT image sets for the detection of prosthetic valve abnormalities. METHODS: A total of 20 patients with 32 mechanical valves who underwent wide-coverage detector cardiac CT with single-heartbeat acquisition were included. The CT image quality for subvalvular (below the prosthesis) and valvular regions (valve leaflets) of mechanical valves was assessed by two observers on a four-point scale (1 = poor, 2 = fair, 3 = good, and 4 = excellent). Paired t-tests or Wilcoxon signed rank tests were used to compare image quality scores and the number of diagnostic phases (image quality score≥3) between the standard image sets and NG SSF image sets. Diagnostic performance for detection of prosthetic valve abnormalities was compared between two image sets with the final diagnosis set by re-operation or clinical findings as the standard reference. RESULTS: NG SSF image sets had better image quality scores than standard image sets for both valvular and subvalvular regions (P < 0.05 for both). The number of phases that were of diagnostic image quality per patient was significantly greater in the NG SSF image set than standard image set for both valvular and subvalvular regions (P < 0.0001). Diagnostic performance of NG SSF image sets for the detection of prosthetic abnormalities (20 pannus and two paravalvular leaks) was greater than that of standard image sets (P < 0.05). CONCLUSION: Application of NG SSF can improve CT image quality and diagnostic accuracy in patients with mechanical valves compared to standard images.
Full Text
https://www.sciencedirect.com/science/article/pii/S1934592517302149
DOI
10.1016/j.jcct.2017.09.011
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
김진영(Kim, Jin Young)
서영주(Suh, Young Joo) ORCID logo https://orcid.org/0000-0002-2078-5832
임동진(Im, Dong Jin) ORCID logo https://orcid.org/0000-0001-8139-5646
장수연(Chang, Su Yon)
최병욱(Choi, Byoung Wook) ORCID logo https://orcid.org/0000-0002-8873-5444
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/22282913/161773
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