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Kulagina T.Yu.

Petrovsky National Research Center of Surgery

Sandrikov V.A.

Petrovsky National Research Center of Surgery

Gavrilov A.V.

Research Institute of nuclear physics named after D.V. Skobeltsyn State University Research Institute of Nuclear Physics

Popov S.O.

Petrovsky National Research Center of Surgery

Blagosklonova E.R.

«Gammamed-Soft» Open Society

Measurement and analysis of intraventricular turbulent blood flow and kinetic energy in patients with aortic stenosis

Authors:

Kulagina T.Yu., Sandrikov V.A., Gavrilov A.V., Popov S.O., Blagosklonova E.R.

More about the authors

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To cite this article:

Kulagina TYu, Sandrikov VA, Gavrilov AV, Popov SO, Blagosklonova ER. Measurement and analysis of intraventricular turbulent blood flow and kinetic energy in patients with aortic stenosis. Russian Journal of Cardiology and Cardiovascular Surgery. 2025;18(6):651‑656. (In Russ.)
https://doi.org/10.17116/kardio202518061651

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References:

  1. Dyverfeldt P, Hope MD, Tseng EE, Saloner D. Magnetic resonance measurement of turbulent kinetic energy for the estimation of irreversible pressure loss in aortic stenosis. JACC Cardiovasc Imaging. 2013 Jan;6(1):64-71.  https://doi.org/10.1016/j.jcmg.2012.07.017.PMID:23328563;PMCID:PMC3624082.
  2. Pirola S, Cheng Z, Jarral OA, O’Regan DP, Pepper JR, Athanasiou T, Xu XY. On the choice of outlet boundary conditions for patient-specific analysis of aortic flow using computational fluid dynamics. J Biomech. 2017 Jul 26;60:15-21.  https://doi.org/10.1016/j.jbiomech.2017.06.005.Epub2017Jun20.PMID:28673664.
  3. Pedrizzetti G, La Canna G, Alfieri O, Tonti G. The vortex--an early predictor of cardiovascular outcome? Nat Rev Cardiol. 2014 Sep;11(9):545-553.  https://doi.org/10.1038/nrcardio.2014.75.Epub2014Jun3.PMID:24889521.
  4. Krahwinkel W, Haltern G, Gülker H. Echocardiographic quantification of regional left ventricular wall motion with color kinesis. Am J Cardiol. 2000 Jan 15;85(2):245-250.  https://doi.org/10.1016/s0002-9149(99)00636-0.PMID:10955385.
  5. Wisneski AD, Wang Y, Cutugno S, Pasta S, Stroh A, Yao J, Nguyen TC, Mahadevan VS, Guccione JM. Left Ventricle Biomechanics of Low-Flow, Low-Gradient Aortic Stenosis: A Patient-Specific Computational Model. Front Physiol. 2022 Apr 6;13:848011. https://doi.org/10.3389/fphys.2022.848011.PMID:35464089;PMCID:PMC9019780.
  6. Yatchenko AM, Krylov AS, Sandrikov VA, Kulagina TYu. Regularizing method for phase antialiasing in color doppler flow mapping. Neurocomputing. 2014:32-38. 
  7. Kulagina TYu, Belenkov YuN, Sandrikov VA. New Algorithms for Evaluation Myocardial Function According to Echocardiography. Kardiologiia. 2019;59(11):48-55. (In Russ.). https://doi.org/10.18087/cardio.2019.11.10273]
  8. Li D, Zhao X, Xiao Q, Yang R, Li Z, Xie Y, Mao X, Li X, Hu W, Deng Y. Evaluation of left ventricular flow field changes after stress in patients with nonobstructive coronary artery disease using ultrasonic flow vector imaging. Front Cardiovasc Med. 2024 Mar 21;11:1340289. https://doi.org/10.3389/fcvm.2024.1340289.PMID:38576423;PMCID:PMC10991677.
  9. Sandrikov VA, Kulagina TYu, Maksimova AYu, Kuznetsova LM, Popov SO. Kinetic energy as a factor in assessing the work of the heart in patients with aortic stenosis. Medical Visualization. 2023;27(3):68-75. (In Russ.). https://doi.org/10.24835/1607-0763-1231
  10. Stugaard M, Koriyama H, Katsuki K, Masuda K, Asanuma T, Takeda Y, Sakata Y, Itatani K, Nakatani S. Energy loss in the left ventricle obtained by vector flow mapping as a new quantitative measure of severity of aortic regurgitation: a combined experimental and clinical study. Eur Heart J Cardiovasc Imaging. 2015 Jul;16(7):723-30.  https://doi.org/10.1093/ehjci/jev035.Epub2015Mar9.PMID:25762562.

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