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

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

Aortic root motion is suspected to contribute to proximal aortic dissection. While motion of the aorta in 4 dimensions can be traced with real-time imaging, displacement and rotation in quantitative terms remain unknown. The hypothesis was to slow feasibility of quantification of 3-dimensional aortic root motion from dynamic CT imaging. 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 sino-tubular junction (STJ) a patient-specific coordinate 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 ostium, 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 to left and right coronary ostium, respectively. The largest sino-tubular junction in-plane motion was 7.37 ± 1.96 mm, and rotation of the aortic root was 11.8 ± 4.60⁰. 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.
利用回顾性多相计算机断层扫描对正常人群主动脉根部运动进行四维分析
主动脉根部运动被怀疑是造成近端主动脉夹层的原因。虽然主动脉的四维运动可以通过实时成像追踪,但位移和旋转的定量分析仍是未知数。 我们的假设是通过动态 CT 成像来减慢量化三维主动脉根部运动的可行性。 采用动态方案采集了 40 名患者的动态 CT 图像,用于冠状动脉评估。扫描由心电图触发,每个心动周期分 10 个时间分段(0%-90%)。在确定sino-tubular junction (STJ)后,创建了患者专用坐标系,Z轴(平面外)与纵向平行。在每个时间步长对左右冠状动脉口进行追踪,以量化相对于 STJ 平面的向下运动、STJ 平面内(平面内)的运动以及旋转程度。 入选者的年龄为 65 ± 12 岁,其中 14 人为男性(35%)。平面外运动的最大位移分别为(10.26 ± 2.20)毫米和(8.67 ± 1.69)毫米,以左冠状动脉和右冠状动脉骨膜为参照。主动脉根部的平均下移量为 9.13 ± 1.86 毫米。记录到的最大平面内运动分别为 9.17 ± 2.33 毫米和 6.51 ± 1.75 毫米(以左冠状动脉和右冠状动脉骨膜为参照)。最大的sino-tubular交界处平面内运动为7.37 ± 1.96 mm,主动脉根部旋转为11.8 ± 4.60⁰。 体内主动脉根部的空间和时间位移可通过多相心电图门控对比增强 CT 图像进行识别和量化。了解主动脉根部的正常四维运动有助于理解其对主动脉病变患者以及手术前后或经导管主动脉瓣置换术后的生物力学影响。
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