Preview

Russian Journal of Cardiology

Advanced search

MATHEMATICAL MODELLING OF CIRCULATION IN EXTRACRANIAL BRACHOCEPHALIC ARTERIES AT P RE-OPERATION STAGE IN CAROTID ENDARTERECTOMY

https://doi.org/10.15829/1560-4071-2017-4-88-92

Abstract

Aim. Hemodynamic shifts in the brain, developing due to carotid surgery (carotid endarterectomy or stenting) might be the cause of perioperation strokes. Assessment for hemodynamic shifts is important. The aim of current study was to develop methodics of cerebral hemodynamics assessment at pre-operation and post-operation periods of carotid endarterectomy.

Material and methods. The authors propose a mathematical model for preoperation analysis of hemodynamics changes in extracranial regions of brachiocephalic arteries after carotid endarterctomy. The development of mathematical model was based upon the data from pre- and postsurgery duplex scan and CT-angiography.

Results. The results showed good prediction capacity for the shifts in cerebral hemodynamics, using the developed mathematical model.

Conclusion. Study results make it to assess cerebral hemodynamis without supplementary investigations. The model includes and represents real anatomy and quantitative hemodynamics parameters by the CT-angiography and duplex scan of the vessels.

About the Authors

D. V. Burenchev
Institute of Numerical Mathematics of Russian Academy of Sciences; SPC of Medical Radiology
Russian Federation


F. Yu. Kopylov
Institute of Numerical Mathematics of Russian Academy of Sciences; I.M. Sechenov First Moscow State Medical University of the Ministry of Health
Russian Federation


A. A. Bykova
ФГБОУ ВО Первый Московский государственный медицинский университет имени И.М. Сеченова Минздрава России


T. M. Gamilov
Institute of Numerical Mathematics of Russian Academy of Sciences


D. G. Gognieva
I.M. Sechenov First Moscow State Medical University of the Ministry of Health


S. S. Simakov
Institute of Numerical Mathematics of Russian Academy of Sciences


Yu. V. Vasilevsky
Institute of Numerical Mathematics of Russian Academy of Sciences


References

1. Brott T.G., Halperin J.L., Abbara S. et al. American College of Cardiology Founda-tion/American Heart Association Task Force on Practice Guidelines: American Stroke Association; American Association of Neuroscience Nurses; American Association of Neurological Surgeons; American College of Radiology; American Society of Neuroradiology; Congress of Neurological Surgeons; Society of Atherosclerosis Imaging and Prevention; Society for Cardiovascular Angi-ography and Interventions; Society of Interventional Radiology; Society of NeuroInterventional Surgery; Society for Vascular Medicine; Society for Vascular Surgery; American Academy of Neu-rology and Society of Cardiovascular Computed Tomography: 2011 ASA/ACCF/AHA/AANN/AANS/ACR/ASNR/CNS/SAIP/CAI/SIR/SNIS/SVM/SVS guideline on the management of patients with extracranial carotid and vertebral artery disease: executive sum-mary // Stroke.- 2011. №42. – P. 420–463.

2. Gaudry M., Bartoli J.-M., Bal L. et al. Anatomical and technical factors influence the rate of in-stent restenosis following carotid artery stenting for the treatment of post-carotid endarterectomy stenosis // PLOS ONE. – 2016. – V.9. – P.1-15.

3. Akgul E. A new concept for carotid artery stenting: coating the atherosclerotic plaque by cov-ered stent before bare stent implantation // Case reports in neurological medicine. – 2016. – №1. – P.21-25.

4. Li J., Shalabi A., Ji F., Meng L. Monitoring cerebral ischemia during carotid endarterectomy and stenting // J. Biomed. Res. – 2016. – V.31. – P.121-127

5. Liu J., Lieb M, Shah U, Hines GL. Cerebral hyperperfusion syndrome after carotidinterven-tion: a review // Cardiol Rev. – 2012. V. 20. - №2. – P. 84-9.

6. Matsumoto N., Enatsu R., Matsui Y. et al. Perioperative Evaluation of Cerebral Blood Flow Using 123I‐labeled N‐isopropyl‐p‐iodoamphetamine Single‐Photon Emission Computed Tomog-raphy without Blood Sampling in Patients Who Underwent Carotid Artery Stenting // Chinese Med-ical J. – 2016. – V.129. – p.1616-1618.

7. Popova L.A. The optimization of diagnostic algorithms and surgery of carotid stenosis. PhD thesis. Moscow. 2001. 147 p. Russian (Попова Л.А. Оптимизация алгоритмов диагностики и тактики хирургического лечения больных со стенозами сонных артерий // Дис. на соиск. учен. степ. канд. мед. наук. – Москва: 2011. – 147 с.)

8. Sharova I.M. The complex instrumental estimation of cerebrovascular reactivity carotid ath-erosclerosis and the mathmodeling of haemodynamic affectivity of cerebral revascularization. PhD thesis. Moscow. 2007. 161 p. Russian (Шарова И.М. Комплексная инструментальная оценка церебрососудистой реактивности у больных с каротидным и коронарным атеросклерозом и математическое моделирование гемодинамической эффективности реваскуляризации голов-ного мозга // Дис. на соиск. учен. степ. канд. мед. наук. – Москва: 2007. – 161с.)

9. Bessonov N., Sequeira A., Simakov S., Vassilevskii Y., Volpert V. Methods of blood flow modelling // Mathematical modelling of natural phenomena, 2016, 11(1), 1-25.

10. Kholodov A.S. Some dynamical models of external breathing and blood circulation regarding to their interaction and substances transfer // Computational Models and Medical Progress, 2001, P. 127-163. Russian (Холодов А.С. Некоторые динамические модели внешнего дыхания и кровообращения с учетом их связности и переноса веществ // в сб. Компьютерные модели и прогресс медицины, под ред. О.М. Белоцерковский, А.С. Холодов, М.: Наука, 2001, с.127-163.)

11. Müller L.O., Toro E. A global multiscale mathematical model for the human circulation with emphasis on the venous system // International journal for numerical methods in biomedical engineering, 2014, 30(7), 681-725.

12. Alastruey J., Moore S.M., Parker K.H. et al. Reduced modelling of blood flow in the cerebral circulation: Coupling 1-D, 0-D and cerebral auto-regulation models // International journal for numerical methods in fluids, 2008, 56(8), 1061-1067.

13. Gamilov T., Pryamonosov R., Simakov S. Modeling of patient-specific cases of atherosclerosis in carotid arteries // Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2016, 2016, vol.2, 81-89, ISBN 978-618-82844-01.

14. Blanco P.J., Watanabe S.M., Passos M.A.R.F., Lemos P.A., Feij´oo R.A. An anatomically detailed arterial network model for one-dimensional computational hemodynamics // IEEE Transactions on biomedical engineering, 2015, 62(2), 736-753.

15. Danilov A., Ivanov Y., Pryamonosov R., Vassilevski Y. Methods of graph network recon-struction in personalized medicine // International journal for numerical methods in biomedical en-gineering, 2016, 32(8), doi: 10.1002/cnm.2754.


Supplementary files

1. Неозаглавлен
Subject
Type Other
Download (668KB)    
Indexing metadata ▾
2. Неозаглавлен
Subject
Type Other
Download (85KB)    
Indexing metadata ▾
3. Неозаглавлен
Subject
Type Other
Download (9KB)    
Indexing metadata ▾
4. Неозаглавлен
Subject
Type Other
Download (9KB)    
Indexing metadata ▾
5. Неозаглавлен
Subject
Type Other
Download (440KB)    
Indexing metadata ▾
6. Неозаглавлен
Subject
Type Other
Download (49KB)    
Indexing metadata ▾
7. Неозаглавлен
Subject
Type Other
Download (51KB)    
Indexing metadata ▾
8. Неозаглавлен
Subject
Type Other
Download (46KB)    
Indexing metadata ▾
9. Матмодель прогнозирования гемодинамики - Буренчев и др - ДопФайлы
Subject
Type Исследовательские инструменты
Download (46KB)    
Indexing metadata ▾

Review

For citations:


Burenchev D.V., Kopylov F.Yu., Bykova A.A., Gamilov T.M., Gognieva D.G., Simakov S.S., Vasilevsky Yu.V. MATHEMATICAL MODELLING OF CIRCULATION IN EXTRACRANIAL BRACHOCEPHALIC ARTERIES AT P RE-OPERATION STAGE IN CAROTID ENDARTERECTOMY. Russian Journal of Cardiology. 2017;(4):88-92. (In Russ.) https://doi.org/10.15829/1560-4071-2017-4-88-92

Views: 8492


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1560-4071 (Print)
ISSN 2618-7620 (Online)