METHOD FOR FLOW-DIRECTING STENT SELECTION Russian patent published in 2017 - IPC A61B6/00 

Abstract RU 2636189 C2

FIELD: medicine.

SUBSTANCE: size of the flow-directing stent is determined by the empirical formula: 0.9⋅(prox+dist)/2. The availability of flow-directed stents of the required size is checked by selection of the closest size of the flow-directing stent from the list of standard sizes. Properties of the cerebral artery wall are determined, for which structural images of the cerebral artery aneurysm wall for systole and diastole are obtained by endoscopic optical coherence tomography. Thickness of the cerebral artery aneurysm wall is determined on the basis of structural images obtained by endoscopic optical coherence tomography by multiplying the number of pixels corresponding to the thinnest part of the cerebral aneurysm wall by the axial resolution of the structural image. Young's modulus is calculated for the cerebral artery aneurysm wall based on the ratio of axial tension of the cerebral artery aneurysm wall to its axial deformation. Axial deformation is determined by pixel-by-pixel analysis of the structural images of the cerebral artery aneurysm wall made for systole and diastole using the cross-correlation function. The axial stress is found as the ratio of the empirically estimated force of the pulse wave acting on the scan area to the pixel-by-pixel estimated cross-sectional area of this region. The Poisson ratio is determined as the ratio of the axial deformation of the cerebral artery aneurysm wall to the axial deformation of the cerebral artery aneurysm wall; and these deformations are found from strain-strain curves calculated on the basis of a pixel-by-pixel analysis of a series of at least several tens of structural images of the aneurysm wall that describe the process of pulse wave propagation. Only a pulse wave is used as a source of mechanical influence on the object being studied. Based on pixel-by-pixel analysis of images using cross-correlation function, relative changes in the vessel wall sections thickness are determined. Compression elastography in optical coherence tomography with a direct-scan probe is used to determine the biomechanical parameters of the cerebral artery aneurysm wall, associated with the mathematical model oflocal hemodynamics of the cerebral artery. Based on the conjugate mathematical model, changes in the three-dimensional distribution of blood velocity, pressure in the aneurysm area and the value of the parietal shear stress are determined and comparative analysis is applied to select a flow-directing stent that allows the maximum decrease of average blood velocity inside the aneurysm cavity and restoration of the blood flow through the cerebral artery.

EFFECT: method cllows to increase the accuracy of selection of the flow-directing stent for endovascular operations due to mathematical modeling of blood flow through the flow-directing stent.

1 dwg

Similar patents RU2636189C2

Title Year Author Number
METHOD FOR ASSESSING FACTORS OF RISK OF CEREBRAL ANEURYSM RUPTURE AFTER INSTALLING A FLOW-DIVERTING STENT 2020
  • Frolov Sergei Vladimirovich
  • Frolova Mariia Sergeevna
  • Potlov Anton Iurevich
RU2768150C1
METHOD FOR STENT MODEL SELECTION FOR STENTING OF CEREBRAL ARTERIES WITH ANEURYSM 2015
  • Frolov Sergej Vladimirovich
  • Sindeev Sergej Vyacheslavovich
  • Potlov Anton Yurevich
RU2636864C2
METHOD OF DETERMINING SHEAR MODULUS FOR BLOOD VESSEL WALL BASED ON INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY 2019
  • Potlov Anton Yurevich
  • Frolov Sergej Vladimirovich
  • Frolova Tatyana Anatolevna
RU2742917C1
METHOD OF DETERMINING A POISSON COEFFICIENT FOR A WALL OF A BLOOD VESSEL BASED ON ENDOSCOPIC OPTICAL COHERENCE TOMOGRAPHY 2018
  • Frolov Sergej Vladimirovich
  • Potlov Anton Yurevich
  • Frolova Tatyana Anatolevna
RU2691619C1
METHOD OF DETERMINING MODULUS OF LONGITUDINAL FLEXIBILITY OF A VESSEL WALL BASED ON ENDOSCOPIC OPTICAL COHERENCE TOMOGRAPHY 2017
  • Frolov Sergej Vladimirovich
  • Potlov Anton Yurevich
  • Sindeev Sergej Vyacheslavovich
RU2669732C1
METHOD FOR EARLY DIAGNOSTICS OF DISTAL EMBOLISM AFTER CAROTID STENTING 2017
  • Khafizov Timur Nazirovich
  • Shajmuratov Ilshat Khasanyanovich
  • Shajkhrakhmanova Ajgul Fanilevna
  • Kretov Evgenij Ivanovich
  • Loginov Maksim Olegovich
  • Giniyatullin Sergej Mukhametovich
  • Sharafutdinov Marat Ravilevich
  • Zagidullin Bulat Iskandarovich
  • Sharipov Irik Ildarovich
  • Khafizov Radik Rashitovich
  • Idrisov Ilyas Albertovich
RU2639861C1
METHOD FOR EMBOLISATION OF CEREBRAL ANEURYSMS WITH A LIQUID ADHESIVE COMPOSITION 2019
  • Sufianov Alberg Akramovich
  • Khafizov Radik Rashitovich
  • Sufianov Rinat Albertovich
  • Khafizov Timur Nazirovich
RU2735500C1
METHOD FOR DIAGNOSING CEREBRAL BLOOD FLOW AUTOREGULATION DISORDERS 2004
  • Semenjutin Vladimir Borisovich
  • Aliev Vugar Ali Ogly
  • Nikitin Pavel Ivanovich
  • Kozlov Aleksandr Vladimirovich
RU2269300C1
METHOD FOR CEREBRAL HYPERPERFUSION SYNDROME PREVENTION DURING CAROTID ARTERIES STENTING 2017
  • Khafizov Timur Nazirovich
  • Shajmuratov Ilshat Khasanyanovich
  • Shajkhrakhmanova Ajgul Fanilevna
  • Kretov Evgenij Ivanovich
  • Loginov Maksim Olegovich
  • Giniyatullin Sergej Mukhametovich
  • Sharafutdinov Marat Ravilevich
  • Zagidullin Bulat Iskandarovich
  • Sharipov Irik Ildarovich
  • Galimov Rustam Midkhatovich
  • Khafizov Radik Rashitovich
  • Idrisov Ilyas Albertovich
RU2639816C1
METHOD FOR ENDOVASCULAR PREVENTION AND CORRECTION OF TYPE I ENDOLEAKS IN AORTIC ENDOPROSTHESIS 2020
  • Khafizov Timur Nazirovich
  • Nikolaeva Irina Evgenevna
  • Imaev Timur Emvyarovich
  • Idrisov Ilyas Albertovich
  • Abkhalikova Elena Evgenevna
  • Khafizov Radik Rashitovich
  • Mukhametyanov Azat Minislamovich
  • Karasev Sergej Mikhajlovich
RU2752029C1

RU 2 636 189 C2

Authors

Frolov Sergej Vladimirovich

Sindeev Sergej Vyacheslavovich

Potlov Anton Yurevich

Dates

2017-11-21Published

2016-03-30Filed