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| Preliminary study of a three-dimensional numerical model of individualized autologous arteriovenous fistula based on CT angiography |
| JIA Xiufen1, LIU Jinjin1, PAN Kehua1, ZHENG Chenfei2 |
| 1.Department of Radiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, China; 2.Department of Nephrology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, China |
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| Cite this article: |
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JIA Xiufen,LIU Jinjin,PAN Kehua, et al. Preliminary study of a three-dimensional numerical model of individualized autologous arteriovenous fistula based on CT angiography[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2021, 51(2): 146-149.
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Abstract Objective: To explore the feasibility of establishing a three-dimensional numerical model of individualized autogenous arteriovenous fistula. Methods: MIMICS software was used to read the raw data in DICOM format during CT angiography of autologous arteriovenous fistula patients. A combination of threshold segmentation and manual segmentation was used for the 3D reconstruction of the region of interest. The numerical simulation of the model was performed with CFX software to analyze the hemodynamic parameters associated with autologous arteriovenous fistula dysfunction. Results: The three-dimensional finite element model of individualized autologous arteriovenous fistula was reconstructed successfully, which could visualize the blood flow distribution characteristics of the fistula area. The largest flow velocity was at the arterial end of the internal fistula. Part of the main blood flow entering the tumor body at the vein end developed into a vortex along the tumor wall, and the other part of blood flow forms a smaller vortex toward the center of the tumor before reaching the outlet. The secondary blood flow was along the tumor wall directly to the outlet. Conclusion: Compared with idealized experimental models, a realistic visualized 3D numerical model of autologous arteriovenous fistula based on relatively non-invasive CTA image data is not only feasible and reliable, but also more specific, which can visually assess the hemodynamic status of the fistula area and facilitate early individualized intervention.
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Received: 16 June 2020
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