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Erschienen in: The International Journal of Cardiovascular Imaging 7/2018

02.02.2018 | Original Paper

Characteristics of aorto-iliofemoral arterial tree according to aortic valve morphology in chinese patients considered for TAVR

verfasst von: Yuan Wang, Hasan Jilaihawi, Guanyuan Song, Moyang Wang, Bin Lv, Hao Wang, Guannan Niu, Zheng Zhou, Yongjian Wu

Erschienen in: The International Journal of Cardiovascular Imaging | Ausgabe 7/2018

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Abstract

To characterize the anatomy of aorto-iliofemoral arterial tree according to aortic valve phenotype by CT in patients referred for transcatheter aortic valve replacement (TAVR). We retrospectively enrolled 215 patients screened for TAVR who underwent CT. Dimensions, calcification, vascular tortuosity index score and other putative risk features of 13 different regions were evaluated for bicuspid aortic valve (BAV) and tricuspid aortic valve (TAV) morphology. The study consisted of 44% BAVs with younger age than TAVs. The dimensions of the annulus, sinus of Valsalva, ascending aorta and aortic arch were consistently larger in BAVs. The prevalence of calcification of aortic arch was significantly higher in TAVs even after adjustment for atherosclerotic risk factors. BAVs was associated with two-fold higher odds of having over I degree AA calcification (odds ratio 2.02; 95% CI 1.60–5.31; p < 0.001). The prevalence of severe iliac tortuosity was higher among BAVs (11.7 vs. 2.5%, p = 0.015). BAVs had a trend to more atheroma than TAVs in the abdominal aortic artery and iliofemoral artery. BAV anatomy is common in Chinese AS patients screened for TAVR. Aorto-iliofemoral pathology varies according to aortic valve phenotype, which may contribute to technical challenges in BAV vs. TAV anatomy and support the need for the integrated risk assessment for each valve phenotype.
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Metadaten
Titel
Characteristics of aorto-iliofemoral arterial tree according to aortic valve morphology in chinese patients considered for TAVR
verfasst von
Yuan Wang
Hasan Jilaihawi
Guanyuan Song
Moyang Wang
Bin Lv
Hao Wang
Guannan Niu
Zheng Zhou
Yongjian Wu
Publikationsdatum
02.02.2018
Verlag
Springer Netherlands
Erschienen in
The International Journal of Cardiovascular Imaging / Ausgabe 7/2018
Print ISSN: 1569-5794
Elektronische ISSN: 1875-8312
DOI
https://doi.org/10.1007/s10554-018-1310-8

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