Decision-making method and system for intervention moment of percutaneous mechanical circulation auxiliary device

Abstract

The invention provides a decision-making method and system for the intervention moment of a percutaneous mechanical circulation auxiliary device, and relates to the technical field of biomedicine, and the method comprises the steps: obtaining the tomography image data of the blood vessel of a patient; according to the tomography image data, establishing a three-dimensional blood vessel model of the blood vessel of the patient by combining a physical conservation law and a Newton second law; performing tetrahedral mesh automatic segmentation on the three-dimensional blood vessel model, and establishing a patient-specific three-dimensional blood vessel numerical simulation model; collecting physiological parameters of the patient and medical record examination results of the patient in real time; performing dynamic simulation by combining the patient specific three-dimensional blood vessel numerical simulation model, the physiological parameters, the patient medical record examination result and a preset percutaneous mechanical circulation auxiliary device numerical model, and outputting patient function data; and determining the intervention time of the percutaneous mechanical circulation auxiliary device according to the function data of the patient. The system can assist doctors in completing clinical decisions of the percutaneous mechanical circulation auxiliary device, and the treatment success rate of patients with circulation failure is increased.

Description

Technical Field

[0001] The present invention relates to the field of biomedical technology, and in particular to a decision method and system for the intervention time of a percutaneous mechanical circulatory assist device. Background Art

[0002] A percutaneous mechanical circulatory assist device is a medical device that is implanted in the human body through skin puncture to provide cardiac or circulatory support. It is an important "bridge" treatment for patients with cardiogenic shock or advanced heart failure. The decision-making method at the moment of percutaneous mechanical circulatory assist device intervention is a scientific method based on real-time data monitoring, hemodynamic simulation and decision-making algorithms to improve tissue and organ perfusion by correcting hemodynamic disorders.

[0003] Rapidly and accurately determining the intervention time and type of percutaneous mechanical circulatory device in a complex clinical environment is of great significance to the scientificity and accuracy of clinical decision-making, achieving individualized treatment, reducing medical costs and patient burden, and promoting technological innovation in the field of percutaneous mechanical circulatory assist devices.

[0004] However, the implementation of individualized hemodynamic treatment plans for percutaneous mechanical circulatory assist devices is currently limited. Since clinicians need to comprehensively judge complex data indicators such as the patient's circulatory function, organ oxygen supply, and blood indicators, there is still a lag in clinical decisions such as the timing of implantation, type selection, and complication management of percutaneous mechanical circulatory assist devices, which may delay the patient's optimal treatment time and make it impossible to provide clinical decision assistance for the selection or combined use of percutaneous mechanical circulatory assist devices, leading to serious complications such as increased left ventricular afterload and ischemia and hypoxia of important organs, further increasing medical risks and reducing the success rate of treatment of patients with circulatory failure. Summary of the invention

[0005] In order to solve the technical problems that the implementation of the individualized hemodynamic treatment plan of percutaneous mechanical circulatory assist device is limited in the prior art, and there is still a lag in clinical decision-making on the implantation timing, type selection, complication management, etc. of the percutaneous mechanical circulatory assist device, which may delay the patient's best treatment time, and cannot realize clinical decision-making assistance for the selection or combined application of percutaneous mechanical circulatory assist device, leading to serious complications such as increased left ventricular afterload and ischemia and hypoxia of important organs, further increasing medical risks, and reducing the success rate of treating patients with circulatory failure, the present invention provides a decision-making method and system for the intervention time of a percutaneous mechanical circulatory assist device.

[0006] The technical solution provided by the embodiment of the present invention is as follows:

[0007] First aspect

[0008] An embodiment of the present invention provides a method for deciding the time of intervention of a percutaneous mechanical circulatory assist device, comprising:

[0009] S1: Acquire tomographic image data of the patient's blood vessels;

[0010] S2: Based on the tomographic image data, a three-dimensional vascular model of the patient's blood vessels is established in combination with the physical conservation law and Newton's second law;

[0011] S3: Automatically segment the 3D vascular model into tetrahedral meshes and establish a patient-specific 3D vascular numerical simulation model;

[0012] S4: Real-time collection of patients’ physiological parameters and medical records;

[0013] S5: Combine the patient-specific three-dimensional vascular numerical simulation model, physiological parameters, patient medical examination results, and the preset percutaneous mechanical circulatory assist device numerical model to perform dynamic simulation of the patient's blood vessels and output the patient's functional data;

[0014] S6: Determine the timing of intervention of a percutaneous mechanical circulatory assist device based on the patient's functional data.

[0015] Second aspect

[0016] An embodiment of the present invention provides a decision system for the time of intervention of a percutaneous mechanical circulatory assist device, comprising:

[0017] processor;

[0018] A memory having computer-readable instructions stored thereon, which, when executed by a processor, implements the method for deciding the timing of intervention of a percutaneous mechanical circulatory assist device as in the first aspect.

[0019] The third aspect

[0020] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for deciding the timing of intervention of a percutaneous mechanical circulatory assist device as in the first aspect.

[0021] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0022] In the present invention, by acquiring the tomographic image data of the patient's blood vessels, and combining the physical conservation law and Newton's second law to establish a three-dimensional vascular model of the patient's blood vessels, then the three-dimensional vascular model is automatically segmented into a tetrahedral mesh, a patient-specific three-dimensional vascular numerical simulation model is established, the patient's physiological parameters and patient medical examination results are collected in real time, and the patient-specific three-dimensional vascular numerical simulation model, physiological parameters, patient medical examination results and the preset percutaneous mechanical circulatory assist device numerical model are combined to perform dynamic simulation and output the patient's functional data, thereby determining the intervention time of the percutaneous mechanical circulatory assist device, thereby improving the treatment effect of the percutaneous mechanical circulatory assist device, and helping doctors to make individualized, digitalized and precise clinical decisions in complex issues such as the implantation timing, type selection and complication treatment of the percutaneous mechanical circulatory assist device. By combining the numerical simulation model with physiological data to establish a patient-specific hemodynamic evaluation solution, it has the function of assisting doctors to complete the clinical decision of the percutaneous mechanical circulatory assist device, thereby better playing the role of the percutaneous mechanical circulatory assist device, improving the success rate of circulatory failure patients, reducing medical risks, accurately predicting the best treatment time for patients, and realizing individualized treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 A schematic flow chart of a method for deciding the timing of intervention of a percutaneous mechanical circulatory assist device provided by an embodiment of the present invention;

[0025] Figure 2 A schematic diagram of a method for deciding the timing of intervention of a percutaneous mechanical circulatory assist device provided by an embodiment of the present invention;

[0026] Figure 3 A schematic diagram of the structure of a decision system for the intervention timing of a percutaneous mechanical circulatory assist device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0028] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0029] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0030] Reference Manual Attached Figure 1 , showing a flow chart of a method for deciding the timing of intervention of a percutaneous mechanical circulatory assist device provided in an embodiment of the present invention.

[0031] The embodiment of the present invention provides a method for deciding the time of intervention of a percutaneous mechanical circulatory assist device, which can be implemented by a device for deciding the time of intervention of a percutaneous mechanical circulatory assist device, and the device for deciding the time of intervention of a percutaneous mechanical circulatory assist device can be a terminal or a server. The processing flow of the method for deciding the time of intervention of a percutaneous mechanical circulatory assist device can include the following steps:

[0032] S1: Obtain tomographic image data of a patient's blood vessels.

[0033] Among them, tomographic imaging data refers to cross-sectional image data of blood vessels obtained by using medical imaging technology (such as CT, MRI, etc.). These images record the structure and spatial distribution of blood vessels through multi-layer scanning. By obtaining the patient's tomographic imaging data, it can provide high-resolution, individualized vascular anatomical information, laying the foundation for subsequent three-dimensional model construction. It is non-invasive, safe and reliable, and can accurately reflect the actual morphology and pathological conditions of the patient's blood vessels.

[0034] In a possible implementation, the patient's blood vessels include an aortic vessel and branch vessels.

[0035] Among them, the aorta is the largest artery in the human body. It originates from the left ventricle of the heart and is responsible for transporting oxygen-rich blood to the whole body. Branch vessels refer to branch vessels of various levels branching out from the aorta, which are responsible for transporting blood to specific organs and tissues.

[0036] It should be noted that in simulation and decision-making methods, the modeling and analysis of these blood vessels can help evaluate the hemodynamic status and organ perfusion.

[0037] S2: Based on the tomographic image data, a three-dimensional vascular model of the patient's blood vessels is established in combination with the laws of physical conservation and Newton's second law.

[0038] Among them, the laws of conservation of physics are the basic physical laws that describe the conservation of mass, energy, and momentum in nature. In blood flow modeling, they mainly involve the mass conservation equation (continuity equation) and momentum conservation equation, which are used to describe the flow characteristics of blood in blood vessels. Newton's second law refers to the description of the movement and deformation of the blood vessel wall under the action of force in blood vessel modeling. The three-dimensional blood vessel model is a three-dimensional digital model of the blood vessel constructed based on tomography data and physical equations, which reflects the actual morphology and physiological characteristics of the patient's blood vessels.

[0039] It should be noted that by combining the patient's tomographic imaging data with the laws of physical conservation and Newton's second law, a patient-specific three-dimensional vascular model can be constructed, which can accurately restore the patient's vascular morphology and the physical laws of blood flow, providing a reliable data basis for subsequent numerical simulations. This model can simulate the hemodynamic state under different conditions and help doctors accurately assess the patient's vascular function and health status.

[0040] Reference Manual Attached Figure 2 , showing a schematic structural diagram of a method for deciding the timing of intervention of a percutaneous mechanical circulatory assist device provided in an embodiment of the present invention.

[0041] Figure 2 In the system, the image processing and model storage module can process the tomography image data of the patient's aorta and its branch vessels, and use computer algorithms such as convolution and reconstruction to splice and combine multiple continuous two-dimensional images, and generate a three-dimensional vascular model with spatial information through image post-processing methods such as maximum density projection, volume rendering, and surface rendering. The Python language is used to program and call the Fluent Mesh software preset function library for automatic tetrahedral mesh segmentation. Thus, a patient-specific 3D vascular numerical simulation model is established. If there is no patient-specific imaging data, the system database stores basic vascular models covering heights of 155cm-185cm, which can be used by clinicians to select a model that is relatively consistent with the patient's characteristics for clinical decision-making assistance.

[0042] The physiological data detection module is divided into two parts: physiological data monitoring and case data extraction. The physiological monitoring part monitors the patient's physiological parameters in real time through the vital signs monitoring device, mainly including blood pressure, pulse, respiratory rate, blood oxygen saturation, etc.; the case data extraction module captures important test and examination results in the medical record system, mainly including: echocardiogram, blood gas analysis, myocardial enzyme spectrum, liver function, kidney function, etc.

[0043] The evaluation and display module stores numerical models of percutaneous mechanical circulatory assist devices such as arteriovenous extracorporeal membrane oxygenation (VA-ECMO), intra-aortic balloon pump (IABP), left ventricular assist device Impella and Tandemheart system. The evaluation module can combine vascular numerical models, physiological data and percutaneous mechanical circulatory assist device numerical models to output and display left ventricular pressure load, organ perfusion and oxygen supply distribution of each organ.

[0044] The result output and display are used to visualize the evaluation data, so that clinicians can intuitively understand the results and determine the timing and plan of intervention with percutaneous mechanical circulatory assist devices.

[0045] It should be noted that establishing a patient-specific hemodynamic assessment solution through a numerical simulation model combined with physiological data can assist doctors in making clinical decisions on percutaneous mechanical circulatory assist devices, thereby better leveraging the role of percutaneous mechanical circulatory assist devices and improving the success rate of treating patients with circulatory failure.

[0046] S3: Automatically segment the three-dimensional vascular model into tetrahedral meshes and establish a patient-specific three-dimensional vascular numerical simulation model.

[0047] Among them, automatic tetrahedral mesh segmentation is a numerical modeling technology that divides complex three-dimensional structures into small tetrahedral units for finite element analysis or computational fluid dynamics (CFD) simulation. The patient-specific three-dimensional vascular numerical simulation model is a simulation model established on the basis of the three-dimensional vascular model by introducing individualized physiological data (such as blood flow velocity, blood pressure, etc.) to simulate the patient's actual hemodynamic state.

[0048] It should be noted that through the automatic tetrahedral mesh segmentation technology, the patient's three-dimensional vascular model is converted into a structured model suitable for numerical simulation, which can achieve high-precision calculations and ensure the fidelity of vascular geometric details. The automated tetrahedral mesh segmentation reduces human operation errors and improves modeling efficiency, allowing complex three-dimensional structures to be quickly used for hemodynamic simulation. Combined with the individual characteristics of patients, this numerical simulation model can accurately predict blood flow and organ perfusion status, provide clinicians with scientific and reliable decision-making support, and significantly improve the accuracy and efficiency of diagnosis and treatment.

[0049] In a possible implementation, the patient-specific three-dimensional vascular numerical simulation model is specifically:

[0050] According to the laws of physical conservation, the constraints of the patient-specific three-dimensional vascular numerical simulation model are as follows:

[0051]

[0052] in, represents the rate of change of blood density over time, represents the divergence term of the blood fluid velocity field, p f represents the density of blood, p represents blood pressure, u f represents the blood velocity vector, represents the partial derivative of the blood velocity vector with respect to time, represents the convection term of the velocity field, u represents the viscosity of the blood, represents the Laplace term of the velocity vector, F f represents the total volume force vector acting on the blood.

[0053] According to Newton's second law, the vascular wall control equation of the patient-specific three-dimensional vascular numerical simulation model is as follows:

[0054]

[0055] Among them, p s represents the density of the arterial wall, represents the second-order time partial derivative of the arterial wall velocity vector, represents the stress tensor of the arterial wall, represents the divergence term of the stress tensor, F s Represents the volume force vector.

[0056] The constraints of the fluid-solid coupling interface of the patient-specific 3D vascular numerical simulation model are as follows:

[0057]

[0058] Among them, d s represents the displacement of the arterial wall at the fluid-structure coupling interface, d f represents the displacement of blood at the fluid-structure coupling interface, n represents the normal unit vector of the interface, represents the stress in the arterial wall at the fluid-structure coupling interface, Represents the stress in the fluid at the fluid-structure coupling interface.

[0059] It should be noted that the mass conservation and momentum conservation equations can be used to accurately simulate the flow behavior of blood in blood vessels, including key characteristics such as flow velocity and pressure distribution. Combined with Newton's second law, the control equation of the arterial wall is established to describe the deformation behavior of the blood vessel wall under the action of blood flow pressure. Through the fluid-solid coupling interface conditions, the motion and mechanical properties of the fluid (blood) and solid (arterial wall) at the interface are ensured to be consistent, thereby enhancing the physical reality of the model.

[0060] S4: Real-time collection of patient physiological parameters and patient medical examination results.

[0061] Among them, physiological parameters refer to the real-time acquisition of the patient's current physiological parameter changes during the patient's treatment process through monitoring equipment to ensure the timeliness and accuracy of the data. The patient's medical record examination results are the patient's historical medical records and examination data. By collecting the patient's physiological parameters and medical record examination results in real time, it provides an accurate and personalized data basis for subsequent dynamic simulation and decision-making. Compared with a single static collection, real-time collection can promptly reflect changes in the patient's condition, especially in cases of rapid dynamic changes such as acute circulatory failure, which can help doctors quickly capture key conditions and optimize treatment plans.

[0062] In a possible implementation, the physiological parameters specifically include: blood pressure, pulse, respiratory rate and blood oxygen saturation.

[0063] Among them, blood pressure reflects the pressure changes of blood in the arteries and is a key indicator for evaluating circulatory function. Pulse is the external manifestation of the heart beat frequency and is closely related to the heart rate. Respiratory rate refers to the number of breaths per minute and is used to evaluate the patient's respiratory function. Blood oxygen saturation reflects the ability of the blood to transport oxygen and is an important parameter for evaluating oxygen supply conditions.

[0064] It should be noted that the biggest advantage of collecting physiological parameters is that it can reflect the patient's physiological state in real time, dynamically and accurately, provide doctors with a scientific basis for decision-making, improve treatment effects and ensure patient safety. This monitoring method is particularly suitable for the management of rapidly changing acute conditions and is an important foundation for precision medicine.

[0065] In a possible implementation, the patient's medical examination results specifically include: echocardiogram, blood gas analysis, myocardial enzyme spectrum, liver function and kidney function.

[0066] Among them, echocardiography is used to evaluate heart structure and function, blood gas analysis is to measure the oxygen and carbon dioxide concentrations in the blood to evaluate respiratory and metabolic status, myocardial enzyme spectrum reflects the degree of damage to myocardial cells, and liver function and kidney function are used to evaluate the status of important organs.

[0067] It should be noted that integrating medical records and examination results helps to comprehensively assess the patient's health status and form a complete physiological and pathological analysis combined with real-time data, providing important support for scientific judgment on the timing of auxiliary device intervention. This not only improves the accuracy of treatment, but also significantly improves clinical efficiency and treatment success rate.

[0068] S5: Combine the patient-specific three-dimensional vascular numerical simulation model, physiological parameters, patient medical examination results and the preset percutaneous mechanical circulatory assist device numerical model to perform dynamic simulation of the patient's blood vessels and output the patient's functional data.

[0069] Among them, the preset percutaneous mechanical circulatory assist device numerical model is a simulation model of the working characteristics and parameters of different assist devices (such as VA-ECMO, IABP, Impella, etc.), which is used to predict the effect of the device. The patient function data refers to the result data of the simulation output, including left ventricular pressure load, organ perfusion, oxygen supply distribution, etc., which serves as the basis for clinical decision-making.

[0070] It should be noted that the advantage of dynamic simulation by combining patient-specific numerical models, physiological parameters, medical examination results and assistive device models is that it can accurately predict the patient's hemodynamic status and organ function changes. Compared with simple physiological monitoring, dynamic simulation can evaluate the implantation effect of assistive devices in advance and help doctors optimize treatment strategies.

[0071] In a possible implementation, the patient's functional data includes the patient's left ventricular pressure load, the perfusion volume of each organ, and the oxygen supply distribution data of each organ.

[0072] Among them, the patient's left ventricular pressure load refers to the pressure burden that the left ventricle needs to bear to overcome resistance when pumping blood, and is a key indicator for evaluating cardiac function. The perfusion volume of each organ refers to the blood flow received by each organ in a certain period of time, which is usually used to reflect the blood supply of the organ. The oxygen supply distribution data of each organ refers to the distribution of oxygen obtained by different organs, usually expressed as oxygen partial pressure or blood oxygen content.

[0073] It should be noted that these indicators together constitute the patient's core functional data, which are used to comprehensively evaluate their blood circulation status and provide key basis for clinical decision-making.

[0074] In a possible implementation, the calculation formula for the perfusion amount of each organ is specifically:

[0075]

[0076] Where Q(t) represents the blood flow velocity through the outlet surface at time t, v represents the blood flow velocity on each grid on the outlet surface, m represents the normal unit vector of each grid, ds represents the differential area element of the outlet surface, and flow renal It represents the blood flow of the renal artery in one cardiac cycle, dt represents a small increment of time, and HR represents the heart rate obtained by ECG monitoring equipment or echocardiography.

[0077] In a possible implementation, the calculation formula for oxygen distribution data of each organ is specifically:

[0078]

[0079] in, represents the rate of change of oxygen partial pressure over time t, PO2 represents the oxygen partial pressure in the blood, represents the blood flow velocity field, represents the gradient of oxygen partial pressure, and Db represents the diffusion coefficient of oxygen in blood, specifically 1.2e -9 m 2 / s.

[0080] Specifically, this formula embodies two key aspects of oxygen transport, integrating the effects of advection due to blood movement and diffusion caused by the concentration gradient of oxygen molecules. By using this formula, we can simulate the transient behavior of oxygen distribution in the blood and gain insight into the dynamics of oxygen delivery to tissues.

[0081] It should be noted that by integrating multi-dimensional data, the simulation results have individual characteristics and can reflect the patient's unique physiological state. This process not only improves the scientific nature of clinical decision-making, but also significantly reduces treatment risks, ensures the precise timing of device intervention, and improves the patient's treatment success rate and treatment effect.

[0082] S6: Determine the timing of intervention of a percutaneous mechanical circulatory assist device based on the patient's functional data.

[0083] Among them, the intervention time refers to the optimal time point for implanting a percutaneous mechanical circulatory assist device for the patient. The optimal intervention time of the percutaneous mechanical circulatory assist device is determined by analyzing the patient's functional data. Its advantage is that it improves the scientificity and accuracy of the treatment. Compared with traditional empirical decisions, the decision-making method based on real-time data and simulation results can accurately identify the patient's physiological limits and avoid irreversible damage such as organ ischemia and hypoxia caused by late intervention, thereby improving the success rate of treatment and long-term prognosis.

[0084] Specifically, clinicians can decide the timing of insertion or deactivation of a percutaneous mechanical circulatory assist device based on the results output by this system in combination with clinical experience, thereby preventing ischemic and hypoxic damage to important organs such as the brain, liver, and kidneys.

[0085] In a specific embodiment, the model calculation is set as follows: the blood vessel wall is represented by an isotropic linear elastic material with a density of 1100 kg / m³, an elastic modulus of 6 MPa, and a Poisson's ratio of 0.42. Blood is an incompressible Newtonian fluid with a density of 1060 kg / m³ and a dynamic viscosity of 0.0035 Pa s. Fluent is selected as the numerical simulation solver for blood components, and the Couple algorithm is used for velocity-pressure coupling. The residuals of the continuity equation and the momentum equation use a convergence standard of 0.001. In order to solve the problem of changes in the fluid domain boundary mesh caused by significant deformation of the blood vessel, the dynamic mesh adaptation function is enabled.

[0086] The simulation process involved coupling Fluent (ANSYS) and Mechanical (ANSYS) using a coupling module and performing transient calculations. The two solvers exchanged blood pressure and vessel wall displacement at each time step until the root mean square error was less than 0.01, indicating convergence. Two cardiac cycles were calculated, and the second cycle was used for hemodynamic analysis. Each cycle lasted 0.8 seconds and the time step was 0.001 seconds.

[0087] The inlet boundary condition of the model was based on the flow velocity at the aortic valve, which was obtained from echocardiography of patients with heart failure, and the VA-ECMO flow rate was adjusted as needed. The left ventricular afterload, which changes periodically with the cardiac cycle, was used as the outlet boundary condition of the entire model.

[0088] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0089] In the present invention, by acquiring the tomographic image data of the patient's blood vessels, and combining the physical conservation law and Newton's second law to establish a three-dimensional vascular model of the patient's blood vessels, then the three-dimensional vascular model is automatically segmented into a tetrahedral mesh, a patient-specific three-dimensional vascular numerical simulation model is established, the patient's physiological parameters and patient medical examination results are collected in real time, and the patient-specific three-dimensional vascular numerical simulation model, physiological parameters, patient medical examination results and the preset percutaneous mechanical circulatory assist device numerical model are combined to perform dynamic simulation and output the patient's functional data, thereby determining the intervention time of the percutaneous mechanical circulatory assist device, thereby improving the treatment effect of the percutaneous mechanical circulatory assist device, and helping doctors to make individualized, digitalized and precise clinical decisions in complex issues such as the implantation timing, type selection and complication treatment of the percutaneous mechanical circulatory assist device. By combining the numerical simulation model with physiological data to establish a patient-specific hemodynamic evaluation solution, it has the function of assisting doctors to complete the clinical decision of the percutaneous mechanical circulatory assist device, thereby better playing the role of the percutaneous mechanical circulatory assist device, improving the success rate of circulatory failure patients, reducing medical risks, accurately predicting the best treatment time for patients, and realizing individualized treatment.

[0090] Reference Manual Attached Figure 3 , showing a schematic structural diagram of a decision system for the intervention timing of a percutaneous mechanical circulatory assist device provided by the present invention.

[0091] The present invention further provides a percutaneous mechanical circulatory assist device intervention timing decision system 20, which is applied to the above-mentioned percutaneous mechanical circulatory assist device intervention timing decision method, comprising:

[0092] Processor 201.

[0093] The memory 202 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 201, the decision method for the intervention timing of the percutaneous mechanical circulatory assist device as described in the method embodiment is implemented.

[0094] The percutaneous mechanical circulatory assist device intervention timing decision system 20 provided in the present invention can execute the above-mentioned percutaneous mechanical circulatory assist device intervention timing decision method and achieve the same or similar technical effects. To avoid repetition, the present invention will not elaborate on it.

[0095] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0096] In the present invention, by acquiring the tomographic image data of the patient's blood vessels, and combining the physical conservation law and Newton's second law to establish a three-dimensional vascular model of the patient's blood vessels, then the three-dimensional vascular model is automatically segmented into a tetrahedral mesh, a patient-specific three-dimensional vascular numerical simulation model is established, the patient's physiological parameters and patient medical examination results are collected in real time, and the patient-specific three-dimensional vascular numerical simulation model, physiological parameters, patient medical examination results and the preset percutaneous mechanical circulatory assist device numerical model are combined to perform dynamic simulation and output the patient's functional data, thereby determining the intervention time of the percutaneous mechanical circulatory assist device, thereby improving the treatment effect of the percutaneous mechanical circulatory assist device, and helping doctors to make individualized, digitalized and precise clinical decisions in complex issues such as the implantation timing, type selection and complication treatment of the percutaneous mechanical circulatory assist device. By combining the numerical simulation model with physiological data to establish a patient-specific hemodynamic evaluation solution, it has the function of assisting doctors to complete the clinical decision of the percutaneous mechanical circulatory assist device, thereby better playing the role of the percutaneous mechanical circulatory assist device, improving the success rate of circulatory failure patients, reducing medical risks, accurately predicting the best treatment time for patients, and realizing individualized treatment.

[0097] It should be understood that the processor in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0098] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0099] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0100] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0101] In the present invention, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0102] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0103] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0104] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0105] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0106] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0107] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0108] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0109] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method for deciding the timing of intervention of a percutaneous mechanical circulatory assist device as described in the method embodiment is implemented.

[0110] A computer-readable storage medium provided by the present invention can implement the steps and effects of the method for deciding the time of intervention of a percutaneous mechanical circulatory assist device in the above method embodiment. To avoid repetition, the present invention will not go into details.

[0111] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0112] In the present invention, by acquiring the tomographic image data of the patient's blood vessels, and combining the physical conservation law and Newton's second law to establish a three-dimensional vascular model of the patient's blood vessels, then the three-dimensional vascular model is automatically segmented into a tetrahedral mesh, a patient-specific three-dimensional vascular numerical simulation model is established, the patient's physiological parameters and patient medical examination results are collected in real time, and the patient-specific three-dimensional vascular numerical simulation model, physiological parameters, patient medical examination results and the preset percutaneous mechanical circulatory assist device numerical model are combined to perform dynamic simulation and output the patient's functional data, thereby determining the intervention time of the percutaneous mechanical circulatory assist device, thereby improving the treatment effect of the percutaneous mechanical circulatory assist device, and helping doctors to make individualized, digitalized and precise clinical decisions in complex issues such as the implantation timing, type selection and complication treatment of the percutaneous mechanical circulatory assist device. By combining the numerical simulation model with physiological data to establish a patient-specific hemodynamic evaluation solution, it has the function of assisting doctors to complete the clinical decision of the percutaneous mechanical circulatory assist device, thereby better playing the role of the percutaneous mechanical circulatory assist device, improving the success rate of circulatory failure patients, reducing medical risks, accurately predicting the best treatment time for patients, and realizing individualized treatment.

[0113] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0114] There are a few points to note:

[0115] (1) The drawings of the embodiments of the present invention only involve structures related to the embodiments of the present invention. Other structures may refer to conventional designs.

[0116] (2) For the sake of clarity, in the drawings used to describe the embodiments of the present invention, the thickness of layers or regions is exaggerated or reduced, that is, these drawings are not drawn according to the actual scale. It is understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, the element may be "directly" "on" or "under" the other element or there may be intermediate elements.

[0117] (3) In the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to obtain new embodiments.

[0118] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for deciding the time of intervention of a percutaneous mechanical circulatory assist device, characterized in that: include: S1: Acquire tomographic image data of the patient's blood vessels; S2: establishing a three-dimensional vascular model of the patient's blood vessels based on the tomographic image data and combining physical conservation laws and Newton's second law; S3: Automatically segmenting the three-dimensional vascular model into tetrahedral meshes to establish a patient-specific three-dimensional vascular numerical simulation model; S4: Real-time collection of patients’ physiological parameters and medical records; S5: combining the patient-specific three-dimensional vascular numerical simulation model, the physiological parameters, the patient's medical examination results, and the preset percutaneous mechanical circulatory assist device numerical model, performing a dynamic simulation of the patient's blood vessels, and outputting the patient's functional data; S6: Determine the intervention time of the percutaneous mechanical circulatory assist device based on the patient's functional data.

2. The method for determining the timing of percutaneous mechanical circulatory assist device intervention according to claim 1, characterized in that: The patient's blood vessels include the aorta and branch blood vessels.

3. The method for determining the timing of percutaneous mechanical circulatory assist device intervention according to claim 1, characterized in that: The patient-specific three-dimensional vascular numerical simulation model is specifically: According to the physical conservation law, the constraints of the patient-specific three-dimensional vascular numerical simulation model are specifically: ； in, represents the rate of change of blood density over time, represents the divergence term of the blood fluid velocity field, p f represents the density of blood, p represents blood pressure, u f represents the blood velocity vector, represents the partial derivative of the blood velocity vector with respect to time, represents the convection term of the velocity field, u represents the viscosity of the blood, represents the Laplace term of the velocity vector, F f represents the total volume force vector acting on the blood; According to Newton's second law, the vascular wall control equation of the patient-specific three-dimensional vascular numerical simulation model is specifically: ； Among them, p s represents the density of the arterial wall, represents the second-order time partial derivative of the arterial wall velocity vector, represents the stress tensor of the arterial wall, represents the divergence term of the stress tensor, Fs represents the volume force vector; The constraints of the fluid-solid coupling interface of the patient-specific three-dimensional vascular numerical simulation model are specifically: ； Among them, d s represents the displacement of the arterial wall at the fluid-structure coupling interface, d f represents the displacement of blood at the fluid-structure coupling interface, n represents the normal unit vector of the interface, represents the stress in the arterial wall at the fluid-structure coupling interface, Represents the stress in the fluid at the fluid-structure coupling interface.

4. The method for determining the timing of percutaneous mechanical circulatory assist device intervention according to claim 1, characterized in that: The physiological parameters specifically include: blood pressure, pulse, respiratory rate and blood oxygen saturation.

5. The method for determining the timing of percutaneous mechanical circulatory assist device intervention according to claim 1, characterized in that: The patient's medical examination results specifically include: echocardiogram, blood gas analysis, myocardial enzyme spectrum, liver function and kidney function.

6. The method for determining the timing of percutaneous mechanical circulatory assist device intervention according to claim 1, characterized in that: The patient function data includes the patient's left ventricular pressure load, the perfusion volume of each organ, and the oxygen supply distribution data of each organ.

7. The method for determining the timing of percutaneous mechanical circulatory assist device intervention according to claim 6, characterized in that: The specific calculation formula of the perfusion volume of each organ is: ； Where Q(t) represents the blood flow velocity through the outlet surface at time t, v represents the blood flow velocity on each grid on the outlet surface, m represents the normal unit vector of each grid, ds represents the differential area element of the outlet surface, and flow renal It represents the blood flow of the renal artery in one cardiac cycle, dt represents a small increment of time, and HR represents the heart rate obtained by ECG monitoring equipment or echocardiography.

8. The method for determining the timing of percutaneous mechanical circulatory assist device intervention according to claim 6, characterized in that: The calculation formula of the oxygen supply distribution data of each organ is specifically: ； in, represents the rate of change of oxygen partial pressure over time t, PO2 represents the oxygen partial pressure in the blood, represents the blood flow velocity field, represents the gradient of oxygen partial pressure, and Db represents the diffusion coefficient of oxygen in blood, specifically 1.2e -9 m 2 / s.

9. A decision-making system for the time of intervention of a percutaneous mechanical circulatory assist device, characterized in that: include: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the method for deciding the time of intervention of a percutaneous mechanical circulatory assist device as described in any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for deciding the time of intervention of a percutaneous mechanical circulatory assist device as claimed in any one of claims 1 to 8 is implemented.

Images