Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer Simulation
The article describes a computer modeling technique that allows predicting the development of restenosis of the internal carotid artery after carotid endarterectomy (CEE). A clinical case has been demonstrated that proves the effectiveness of the developed method. It is indicated that for the correc...
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| Format: | Article |
| Language: | Russian |
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Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department
2021-08-01
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| Series: | Неотложная медицинская помощь |
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| Online Access: | https://www.jnmp.ru/jour/article/view/1171 |
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| author | A. N. Kazantsev R. A. Vinogradov Yu. N. Zakharov V. G. Borisov M. A. Chernyavsky V. N. Kravchuk D. V. Shmatov K. P. Chernykh A. A. Sorokin G. Sh. Baghdavadze S. V. Artyukhov G. G. Khubulava |
| author_facet | A. N. Kazantsev R. A. Vinogradov Yu. N. Zakharov V. G. Borisov M. A. Chernyavsky V. N. Kravchuk D. V. Shmatov K. P. Chernykh A. A. Sorokin G. Sh. Baghdavadze S. V. Artyukhov G. G. Khubulava |
| author_sort | A. N. Kazantsev |
| collection | DOAJ |
| description | The article describes a computer modeling technique that allows predicting the development of restenosis of the internal carotid artery after carotid endarterectomy (CEE). A clinical case has been demonstrated that proves the effectiveness of the developed method. It is indicated that for the correct formation of the geometric model, data from multispiral computed tomography with angiography of the patient after CEE with a layer thickness of 0.6 mm and a current of 355 mA are required. To build a flow model, data of color duplex scanning in three sections are required: 1. In the proximal section of the common carotid artery (3 cm proximal to the bifurcation); 2. In the section of the external carotid artery, 2 cm distal to the carotid sinus; 3. In the section of the internal carotid artery, 2 cm distal to the carotid sinus. The result of computer calculations using specialized software (Sim Vascular, Python, Open Foam) is a mathematical model of blood flow in a vessel. It is an array of calculated data describing the speed and other characteristics of the flow at each point of the artery. Based on the analysis of RRT and TAWSS indicators, a computer model of bifurcation is formed, which makes it possible to predict areas of increased risk of restenosis development. Thus, the developed technique is able to identify a cohort of patients after CEE, subjected to a high probability of loss of the vessel lumen. Such an opportunity will provide a more precise supervision of these patients in the postoperative period with the aim of early diagnosis of restenosis and timely prevention of the development of adverse cardiovascular events. |
| format | Article |
| id | doaj-art-a7cea3fb3f5548f8997b21430ec683dd |
| institution | Kabale University |
| issn | 2223-9022 2541-8017 |
| language | Russian |
| publishDate | 2021-08-01 |
| publisher | Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department |
| record_format | Article |
| series | Неотложная медицинская помощь |
| spelling | doaj-art-a7cea3fb3f5548f8997b21430ec683dd2025-08-20T03:56:37ZrusSklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare DepartmentНеотложная медицинская помощь2223-90222541-80172021-08-0110240140710.23934/2223-9022-2021-10-2-401-407695Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer SimulationA. N. Kazantsev0R. A. Vinogradov1Yu. N. Zakharov2V. G. Borisov3M. A. Chernyavsky4V. N. Kravchuk5D. V. Shmatov6K. P. Chernykh7A. A. Sorokin8G. Sh. Baghdavadze9S. V. Artyukhov10G. G. Khubulava11St. Petersburg City Alexandrovskaya HospitalS.V. Ochapovsky Research Institute and Regional Clinical Hospital No. 1 of the Ministry of Health of Russian FederationKemerovo State Medical University of the Ministry of Health of the Russian FederationKemerovo State Medical University of the Ministry of Health of the Russian FederationV.A. Almazov National Medical Research Center of the Ministry of Health of Russian FederationS.M. Kirov Military Medical Academy of the Ministry of Defense of the Russian Federation; I.I. Mechnikov North-Western State Medical UniversitySt. Petersburg State University, N.I. Pirogov Clinic of High Medical TechnologiesSt. Petersburg City Alexandrovskaya HospitalSt. Petersburg State University, N.I. Pirogov Clinic of High Medical TechnologiesI.I. Mechnikov North-Western State Medical UniversitySt. Petersburg City Alexandrovskaya HospitalS.M. Kirov Military Medical Academy of the Ministry of Defense of the Russian Federation; I.P. Pavlov First St. Petersburg State Medical University of the Ministry of Health of the Russian FederationThe article describes a computer modeling technique that allows predicting the development of restenosis of the internal carotid artery after carotid endarterectomy (CEE). A clinical case has been demonstrated that proves the effectiveness of the developed method. It is indicated that for the correct formation of the geometric model, data from multispiral computed tomography with angiography of the patient after CEE with a layer thickness of 0.6 mm and a current of 355 mA are required. To build a flow model, data of color duplex scanning in three sections are required: 1. In the proximal section of the common carotid artery (3 cm proximal to the bifurcation); 2. In the section of the external carotid artery, 2 cm distal to the carotid sinus; 3. In the section of the internal carotid artery, 2 cm distal to the carotid sinus. The result of computer calculations using specialized software (Sim Vascular, Python, Open Foam) is a mathematical model of blood flow in a vessel. It is an array of calculated data describing the speed and other characteristics of the flow at each point of the artery. Based on the analysis of RRT and TAWSS indicators, a computer model of bifurcation is formed, which makes it possible to predict areas of increased risk of restenosis development. Thus, the developed technique is able to identify a cohort of patients after CEE, subjected to a high probability of loss of the vessel lumen. Such an opportunity will provide a more precise supervision of these patients in the postoperative period with the aim of early diagnosis of restenosis and timely prevention of the development of adverse cardiovascular events.https://www.jnmp.ru/jour/article/view/1171carotid endarterectomyclassic carotid endarterectomyeversion carotid endarterectomypatchrestenosiscomputer modelling |
| spellingShingle | A. N. Kazantsev R. A. Vinogradov Yu. N. Zakharov V. G. Borisov M. A. Chernyavsky V. N. Kravchuk D. V. Shmatov K. P. Chernykh A. A. Sorokin G. Sh. Baghdavadze S. V. Artyukhov G. G. Khubulava Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer Simulation Неотложная медицинская помощь carotid endarterectomy classic carotid endarterectomy eversion carotid endarterectomy patch restenosis computer modelling |
| title | Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer Simulation |
| title_full | Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer Simulation |
| title_fullStr | Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer Simulation |
| title_full_unstemmed | Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer Simulation |
| title_short | Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer Simulation |
| title_sort | prediction of resthenosis after carotid endarterectomy by the method of computer simulation |
| topic | carotid endarterectomy classic carotid endarterectomy eversion carotid endarterectomy patch restenosis computer modelling |
| url | https://www.jnmp.ru/jour/article/view/1171 |
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