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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
المؤلفون المشاركون
Zhou, Xiaobo
Zuo, Heng
Ling, Yunfei
Li, Peng
An, Qi
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-08
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139444
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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