Prospects of the Magnetic Resonance Imaging Method for Assessing the Bioelastic Function of the Aortic Wall
https://doi.org/10.52560/2713-0118-2023-1-40-51
Abstract
The distinct growth of cardiovascular diseases (CVD) and aortic diseases in the world requires accurate diagnostic methods for their early prediction. In modern research, more and more attention is paid to biomechanics and numerical models of accurate quantitative calculations. The assessment of aortic pathology using magnetic resonance imaging (MRI) acquires great clinical significance, since it makes it possible to simultaneously assess the anatomical topography and physical properties of the aorta. A broad study of changing biomechanical processes will complement the existing ideas about the basics of aneurysm formation and aortic dissection. MRI is a modern non-invasive method that provides the necessary data to as-sess the physical properties of the wall and directional flows in the aorta.
About the Authors
K. R. Bril’
B. V. Petrovsky National Research Centre of Surgery
Russian Federation
Russian Federation
Kristina R. Bril’, Postgraduate
2, Abrikosovsky per., Moscow, 119991
+7 (917) 538-28-38
A. A. Pronkin
Joint Institute of High Temperatures of the Russian Academy of Sciences; National Research University «Moscow Power Engineering Institute»
Russian Federation
Russian Federation
Аleksandr A. Pronkin, Candidate of Technical Sciences, Senior Research Associate
13, p. 2, ul. Izhorskaya, Moscow. 125412
+7 (495) 485-90-09
T. N. Galyan
B. V. Petrovsky National Research Centre of Surgery
Russian Federation
Russian Federation
Tat’yna N. Galyan, Candidate of Medical Sciences, Head of Department of Radiology and Computed Tomography
2, Abrikosovsky per., Moscow, 119991
+7 (499) 248-15-55
М. V. Malakhova
B. V. Petrovsky National Research Centre of Surgery
Russian Federation
Russian Federation
Мariya V. Malakhova, Candidate of Medical Sciences, Radiologist
2, Abrikosovsky per., Moscow, 119991
+7 (499) 248-15-55
V. Yu. Usov
National Research Tomsk Polytechnic University; Research Institute of Cardiology of Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation
Russian Federation
Vladimir Y. Usov, Doctor of Medical Sciences, Professor, Head of the Department of X-ray and Tomographic Diagnostic Methods
111a, ul. Kievskaya, Tomsk, 634012
+7 (3822) 56-12-32
V. V. Khovrin
B. V. Petrovsky National Research Centre of Surgery
Russian Federation
Russian Federation
Valeriy V. Khovrin, Doctor of Medical Sciences, Senior Researcher
2, Abrikosovsky per., Moscow, 119991
+7 (499) 248-15-55
References
1. Bril K. R. Magnetic resonance imaging in the evaluation of aortic wall stiffness criteria. Digital Diagnostics. 2022. V. 3. No. 1S. P. 10–11 (in Russian).
2. Zhuravleva L. V. Methodology for measuring carotid-femoral, aortic-femoral pulse wave propagation velocity using rheograp hy. Medicine of Ukraine. 2016. No. 10. ISNN 1997-9894 (in Russian).
3. Malakhova M. V. Diagnostics of detachment of the valve-containing conduit of the ascending aorta and its successful surgical treatment. Bulletin of radiology and radiology. 2021. V. 102. No. 6. P. 383–9 (in Russian).
4. Skripnik A. Yu. Assessment of the elast ic characteristics of the wall of the asc en ding aorta using computed tomog raphic angiography in the mode of electrocardiographic synchronization with advanced postprocessor data pro ces sing. Russian J. of Cardiology. 2019. V. 24. No. 12. P. 48–54 (in Russian).
5. Usov V. Yu. Computational evaluation of mechanoelastic properties and paramag netic contrast enhancement of the as cen ding aortic wall in acute infarction and non-coronary myocardial injuries, according to dynamic ECG-synchronized MR-tomography (MRelastometry). Transl ational medicine. 2021. V. 8. No. 6. P. 43–58 (in Russian).
6. Catapano F. 4D flow imaging of the thoracic aorta: is there an added clinical value? Cardiovasc Diagn Ther. 2020. V. 10. No. 4. P. 1068–1089.
7. Harloff A. Determination of aortic stiffness using 4D flow cardiovascular magnetic re sonance — a population-based study. J. Card iovasc. Magn. Reson. 2018. V. 20. No. 43.
8. Houriez-Gombaud-Saintonge S. Comparison of different methods for the estimation of aortic pulse wave velocity from 4D flow cardiovascular magnetic resonance. J. Cardiovasc. Magn. Reson. 2019. V. 21. No. 1. P. 75.
9. Hrabak-Paar M. Variability of MRI Aortic Stiffness Measurements in a Multicenter Clinical Trial Setting: Intraobserver, Interobserver, and Intracenter Variability of Pulse Wave Velocity and Aortic Strain Measurement. Radiol. Cardiothorac. Imaging. 2020. V. 2. No. 2. e190090.
10. Ohyama Y. Imaging Insights on the Aorta in Aging. Circ. Cardiovasc. Imaging. 2018. V. 11. No. 4. e005617.
11. Soulat G. 4D Flow with MRI. Annu Rev Biomed Eng. 2020. V. 22. P. 103–126.
12. Sträter A. 4D-Flow MRI: Technique and Applications. Rofo. 2018. V. 190. No. 11. P.1025–1035.
13. Van Hout M. Normal and reference values for cardiovascular magnetic resonancebased pulse wave velocity in the middleaged general population. J. Cardiovasc. Magn. Reson. 2021. V. 23. No. 1. P. 46.
Review
For citations:
Bril’ K.R., Pronkin A.A., Galyan T.N., Malakhova М.V., Usov V.Yu., Khovrin V.V. Prospects of the Magnetic Resonance Imaging Method for Assessing the Bioelastic Function of the Aortic Wall. Radiology - Practice. 2023;(1):40-51. (In Russ.) https://doi.org/10.52560/2713-0118-2023-1-40-51
Views:
400
Email this article 