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作者

Mengsi Hu, Xia Li, Huihui Wang, Yuezhong Zhang, Ximing Wang, Jikai Liu, Zhenxia Mu, Peixian Gao, Xiufeng Song

作者单位

Affiliations ¹ Department of Nephrology, Shandong Provincial Hospital, Shandong First Medical University, Jinan, China. ² Department of Nephrology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China. ³ Department of Ultrasound, Shandong Provincial Hospital, Shandong First Medical University, Jinan, 250021, China. ⁴ Department of Ultrasound, Shandong Provincial Hospital, Shandong First Medical University, Jinan, 250021, China. wenddywang@12 com. ⁵ Department of Ultrasound, Shandong Provincial Hospital, Shandong First Medical University, Jinan, 250021, China. zhangyuezhong@sdfmu.edu.cn. ⁶ Department of Imaging, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, China. ⁷ Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education), School of Mechanical Engineering, Shandong University, Jinan, China. ⁸ Department of Vascular Surgery, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, China. ⁹ Department of Dermatology, The Third Affiliated Hospital of Shandong, First Medical University Affiliated Hospital of Shandong Academy of Medical Sciences, Jinan, China.

刊名

Scientific reports

年份

2026

ISSN

2045-2322

关键词

Aorta coarctation CoA Computational fluid dynamics Doppler MDCTA PG Pressure gradient.

摘要

The gold standard assessment of coarctation of aorta was achieved invasively by cardiac catheterization, which is associated with several risks including radiation exposure. The present study aimed to validate a multimodal imaging-based non-invasive computational framework for assessment of trans-coarctation pressure gradients in patients with severe coarctation of the aorta . Here we developed a non-invasive computational fluid dynamics modeling framework based on multidetector computed tomo...更多

The gold standard assessment of coarctation of aorta was achieved invasively by cardiac catheterization, which is associated with several risks including radiation exposure. The present study aimed to validate a multimodal imaging-based non-invasive computational framework for assessment of trans-coarctation pressure gradients in patients with severe coarctation of the aorta . Here we developed a non-invasive computational fluid dynamics modeling framework based on multidetector computed tomography angiography and ultrasound-derived input parameters, which incorporated into a lumped parameter model and validated the results against measurements obtained via cardiac catheterization, both preoperatively and postoperatively. We used conventional Doppler estimates to make these correlations and to compare their diagnostic performance in identifying critical PG. The results indicated that for 18 patients with severe CoA the CFD simulation exhibited better concordance and correlation with catheter measurements compared to Doppler gradients . Specifically, the CFD-derived PG showed a stronger correlation with catheter measurements than did Doppler-derived PG . This CFD framework facilitated reliable quantification of PG and visualization of hemodynamic forces in patient-specific geometric models, and suggesting its potential as a non-invasive and effective approach for the assessment of CoA.收起

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