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DOI 10.1093/ehjimp/qyae007

Медицинская библиотека · European heart journal. Imaging methods and practice · 2024

Four-dimensional analysis of aortic root motion in normal population using retrospective multiphase computed tomography.

Yuan Xun, Kan Xiaoxin, Li Jianpeng, Yan Yang, Mirsadraee Saeed, Mittal Tarun, Shah Andrew, Saunders Debbie, Xu Xiao Yun, Nienaber Christoph A

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Аннотация

AIMS: Aortic root motion is suspected to contribute to proximal aortic dissection. While motion of the aorta in four dimensions can be traced with real-time imaging, displacement and rotation in quantitative terms remain unknown. The hypothesis was to show feasibility of quantification of three-dimensional aortic root motion from dynamic CT imaging.

METHODS AND

RESULTS

Dynamic CT images of 40 patients for coronary assessment were acquired using a dynamic protocol. Scans were ECG-triggered and segmented in 10 time-stepped phases (0-90%) per cardiac cycle. With identification of the sinotubular junction (STJ), a patient-specific co-ordinate system was created with the z-axis (out-of-plane) parallel to longitudinal direction. The left and right coronary ostia were traced at each time-step to quantify downward motion in reference to the STJ plane, motion within the STJ plane (in-plane), and the degree of rotation. Enrolled individuals had an age of 65 ± 12, and 14 were male (35%). The out-of-plane motion was recorded with the largest displacement of 10.26 ± 2.20 and 8.67 ± 1.69 mm referenced by left and right coronary ostia, respectively. The mean downward movement of aortic root was 9.13 ± 1.86 mm. The largest in-plane motion was recorded at 9.17 ± 2.33 mm and 6.51 ± 1.75 mm referenced by left and right coronary ostia, respectively. The largest STJ in-plane motion was 7.37 ± 1.96 mm, and rotation of the aortic root was 11.8 ± 4.60°.

CONCLUSION

In vivo spatial and temporal displacement of the aortic root can be identified and quantified from multiphase ECG-gated contrast-enhanced CT images. Knowledge of normal 4D motion of the aortic root may help understand its biomechanical impact in patients with aortopathy and pre- and post-surgical or transcatheter aortic valve replacement.

Для цитирования: Yuan Xun, Kan Xiaoxin, Li Jianpeng, Yan Yang, Mirsadraee Saeed, Mittal Tarun, Shah Andrew, Saunders Debbie, Xu Xiao Yun, Nienaber Christoph A. Four-dimensional analysis of aortic root motion in normal population using retrospective multiphase computed tomography.. European heart journal. Imaging methods and practice. 2024. DOI: 10.1093/ehjimp/qyae007.
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