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Patient-Specific CT-Based Fluid-Structure-Interaction Aorta Model to Quantify Mechanical Conditions for the Investigation of Ascending Aortic Dilation in TOF Patients
Joint Authors
Zhou, Xiaobo
Zuo, Heng
Ling, Yunfei
Li, Peng
An, Qi
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-08
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Background.
Some adult patients with Tetralogy of Fallot (TOF) were found to simultaneously develop ascending aortic dilation.
Severe aortic dilation would lead to several aortic diseases, including aortic aneurysm and dissection, which seriously affect patients’ living quality and even cause patients’ death.
Current practice guidelines of aortic-dilation-related diseases mainly focus on aortic diameter, which has been found not always a good indicator.
Therefore, it may be clinically useful to identify some other factors that can potentially better predict aortic response to dilation.
Methods.
20 TOF patients scheduled for TOF repair surgery were recruited in this study and were divided into dilated and nondilated groups according to the Z scores of ascending aorta diameters.
Patient-specific aortic CT images, pressure, and flow rates were used in the construction of computational biomechanical models.
Results.
Simulation results demonstrated a good coincidence between numerical mean flow rate at inlet and the one obtained from color Doppler ultrasonography, which implied that computational models were able to simulate the movement of the aorta and blood inside accurately.
Our results indicated that aortic stress can effectively differentiate patients of the dilated group from the ones of the nondilated group.
Mean ascending aortic stress-P1 (maximal principal stress) from the dilated group was 54% higher than that from the nondilated group (97.97 kPa vs.
63.47 kPa, p value = 0.044) under systolic pressure.
Velocity magnitude in the aorta and aortic wall displacement of the dilated group were also greater than those of the nondilated group with p value < 0.1.
Conclusion.
Computational modeling and ascending aortic biomechanical factors may be used as a potential tool to identify and analyze aortic response to dilation.
Large-scale clinical studies are needed to validate these preliminary findings.
American Psychological Association (APA)
Zuo, Heng& Ling, Yunfei& Li, Peng& An, Qi& Zhou, Xiaobo. 2020. Patient-Specific CT-Based Fluid-Structure-Interaction Aorta Model to Quantify Mechanical Conditions for the Investigation of Ascending Aortic Dilation in TOF Patients. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1139444
Modern Language Association (MLA)
Zuo, Heng…[et al.]. Patient-Specific CT-Based Fluid-Structure-Interaction Aorta Model to Quantify Mechanical Conditions for the Investigation of Ascending Aortic Dilation in TOF Patients. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1139444
American Medical Association (AMA)
Zuo, Heng& Ling, Yunfei& Li, Peng& An, Qi& Zhou, Xiaobo. Patient-Specific CT-Based Fluid-Structure-Interaction Aorta Model to Quantify Mechanical Conditions for the Investigation of Ascending Aortic Dilation in TOF Patients. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1139444
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139444