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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.
Afiliación
  • Yuan X; Cardiology and Aortic Centre, Royal Brompton & Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London SW3 6NP, UK.
  • Kan X; National Heart and Lung Institute, School of Medicine, Imperial College London, Exhibition Road, London SW7 2BX, UK.
  • Li J; Center for Vascular Surgery and Wound Care, Jinshan Hospital, Fudan University, Shanghai, China.
  • Yan Y; Department of Chemical Engineering, Imperial College London, London, UK.
  • Mirsadraee S; Department of Cardiovascular Surgery, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Mittal T; Department of Cardiovascular Surgery, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Shah A; National Heart and Lung Institute, School of Medicine, Imperial College London, Exhibition Road, London SW7 2BX, UK.
  • Saunders D; Department of Radiology, Royal Brompton & Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Xu XY; National Heart and Lung Institute, School of Medicine, Imperial College London, Exhibition Road, London SW7 2BX, UK.
  • Nienaber CA; Department of Radiology, Royal Brompton & Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Eur Heart J Imaging Methods Pract ; 2(1): qyae007, 2024 Jan.
Article en En | MEDLINE | ID: mdl-39045205
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur Heart J Imaging Methods Pract Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur Heart J Imaging Methods Pract Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido